How to Use AI to Make Money, Save Time, and Be More Productive

Ally Miller 0:00 Women are adopting AI 25% less than men.

Mel Robbins 0:03 It has exploded. It has accelerated. And I don't wanna get left behind. I don't want women, in particular, to lean back and get left behind.

Ally Miller 0:12 My hope is that these groups see AI as a source of agency and not of anxiety.

Mel Robbins 0:19 Let's start at the beginning. What is AI?

Ally Miller 0:22 AI, at its core, is just a system attempting to do a human-like thing. That could be as crazy as self-driving cars, your Roomba in your house. AI is actually so much more than everything that we've seen in the last couple years. These systems are so accessible. We have never had tech be as accessible as it is today. Every single job that we already have out there, marketing manager, legal, finance, will be AI supported, and you'll have a switch in the types of things that you are doing.

Mel Robbins 0:56 Maybe instead of saying, "AI is coming for my job," the reframe is, "AI is a part of my job." And if you're worried about it, don't sit back. If you're worried about it, this is when you lean in.

Ally Miller 1:07 People that take advantage of it now are going to gain this velocity that is gonna be really hard to catch up on in the next two years. If you have not been using AI, use it. Not because I'm telling you you have to use it every single day or else, you know, the world will explode. But I'm saying, I want your voice in the conversation.

Mel Robbins 1:27 Ally Miller, welcome to the Mel Robbins Podcast.

Ally Miller 1:30 Thank you for having me.

Mel Robbins 1:32 I am really excited to talk to you because I know this is gonna be a conversation where I selfishly am going to learn so much. This is a topic I've been dying to have an expert on. I am so glad we could pull you off all the stages where you're speaking around the world and have you here in our Boston studios. I would love to start by having you tell me how is my life going to be different if I take to heart everything that you're gonna teach me today about AI, and I put it to use in my day-to-day life?

Ally Miller 2:05 If you take everything that I'm about to share to heart, you are going to learn how to use AI, which is the most basic value that I could deliver to you. You are going to save time. You are going to get more support that you need in your life, in your work. You are going to expand your capabilities and your superpowers, and you are going to be shocked by what you can actually get done with these systems.

Mel Robbins 2:31 I love that because you talk a lot about the fact that you can use AI, and the thing you're most excited about is that it can help you become the best version of yourself.

Ally Miller 2:40 Yes.

Mel Robbins 2:41 You actually believe that?

Ally Miller 2:42 100%, because I've seen it in my own life. I teach millions of people how to use AI. I've seen it in their lives too. Whether you are a 91-year-old grandmother, whether you are just out of college and you're freaking out, not even knowing what to do, I've seen the change happen. So, I am sharing with you every single thing that I have shared for the last 10 years online, hopefully as fast as humanly possible, and I can't wait to share it. In addition to saving you time, because I always want to do that, right?

Mel Robbins 3:08 Yeah.

Ally Miller 3:08 Efficiency is key. There are some transformational ways that you can use AI to improve your life, to lead the life that you want to be leading. Whether that is getting research done on a topic you've always been interested in, whether that is developing a workout plan in the way that you've always wanted to do it, whether that is having a better relationship with your kid, I want you to live the life you want to be living and not be held back by the environment or context around you.

Mel Robbins 3:40 Let's start at the beginning.

Ally Miller 3:41 Great.

Mel Robbins 3:42 What is AI?

Ally Miller 3:44 If I could give the most simple explanation-

Mel Robbins 3:47 Dear God, please.

Ally Miller 3:49 (laughs) Okay.

Mel Robbins 3:49 Because it's overwhelming, Ally.

Ally Miller 3:51 Let's do that. 100%.

Mel Robbins 3:51 Like, I wanted you here because every time I turn on the, turn on the TV, I don't even watch the TV. Every time I log on-

Ally Miller 3:57 Yeah, it's just AI.

Mel Robbins 3:58 ... especially YouTube, it's-

Ally Miller 3:59 Yeah.

Mel Robbins 4:00 ... "AI is coming and the robots are gonna kill you and steal your jobs, and we're doomed, and it's already..." And I'm like, "Well, hold on a minute." I'm not even sure I understand what it is-

Ally Miller 4:09 Yeah.

Mel Robbins 4:09 ... and how to use it. And so let's start at the baseline thing.

Ally Miller 4:15 Mm-hmm.

Mel Robbins 4:17 What is it and how does it work? Can you just explain it for those of us that kind of think we know?

Ally Miller 4:24 Yes. So, AI, as an umbrella term, has been around for decades. The term AI was invented in the 50s. Um, so AI, at its core, is just a system attempting to do a human-like thing.

Mel Robbins 4:40 Okay.

Ally Miller 4:41 That could be as crazy as self-driving cars. That could be your Roomba in your house. That could be your spam filter in Gmail. All of that counts as AI. Obviously-

Mel Robbins 4:52 Don't come after my vacuum.

Ally Miller 4:53 (laughs)

Mel Robbins 4:54 That's all I'm gonna say. I don't even have one of those.

Ally Miller 4:55 Your vacuum might come after you. We don't know.

Mel Robbins 4:56 I don't have one of those. Okay, so-

Ally Miller 4:57 (laughs)

Mel Robbins 4:58 ... so any... So, A- you could think about AI as any computer program that is attempting to do what a human being typically does?

Ally Miller 5:08 A system, yeah, attempting to do a human thing. Whether it does it in the method that a human does it, kind of open for a question.

Mel Robbins 5:16 Okay.

Ally Miller 5:16 But it's whether the end user, upon seeing the- the final writing, the final tweet, the final image, the final video, goes, "Yeah, okay, a human could have done that." Generative AI is

Ally Miller 5:27 a subset of that, which has also been around for decades. The new thing now is good generative AI, high-quality generative AI. Generative AI that changes the way that we might check emails, write emails, or completely build our business, right? Generative AI is an AI system that is looking at big amounts of patterns. Picture the whole internet. Picture, like, all of Wikipedia and a whole bunch of the internet thrown into this model.

Mel Robbins 5:54 Okay.

Ally Miller 5:54 And the model picks up on patterns. And so it's looking at patterns that we as humans are probably gonna miss out. It might be picking up on every time you say the word zebra, the word black and white tends to be around that word-

Mel Robbins 6:06 Mm-hmm.

Ally Miller 6:06 And horse tends to be around that word, but penguin is nowhere near it, right? So, it's picking up on a bunch of these patterns, and then it is using all of that pattern recognition-

Mel Robbins 6:15 Yup.

Ally Miller 6:16 ... to...... very awesomely generate net new things. So it's not copying and pasting, it's generating brand new stuff, brand new images, tweets, emails, novels, movies, blog posts, whichever. So generative AI, subset of AI, where it makes new stuff. So-

Mel Robbins 6:34 What about a plane flight?

Ally Miller 6:36 What about a plane flight?

Mel Robbins 6:37 So in the old days, like three years ago...

Ally Miller 6:40 Okay. (laughs)

Mel Robbins 6:41 (laughs) Right. Well, in the old, old days-

Ally Miller 6:43 Yeah.

Mel Robbins 6:43 ... you would call a travel agent, right?

Ally Miller 6:45 Yeah.

Mel Robbins 6:45 Then in the next iteration of that, you would go to the airline website.

Ally Miller 6:50 Yeah.

Mel Robbins 6:50 Then in the next iteration, which is where I am-

Ally Miller 6:53 Mm-hmm.

Mel Robbins 6:53 So I'm stuck in the kind of modern old way of doing it, I go to Google. I go to the Google.

Ally Miller 6:59 Yep. (laughs)

Mel Robbins 6:59 And I put in my, like, flights on a date-

Ally Miller 7:03 Okay.

Mel Robbins 7:03 ... and then I get a list. But then when I get the list-

Ally Miller 7:06 (laughs) .

Mel Robbins 7:07 ... I have to look and pick out the flight.

Ally Miller 7:11 Yeah. You're not gonna do that anymore.

Mel Robbins 7:12 Okay, what am I gonna do, and can you explain how AI is making my life easier?

Ally Miller 7:16 Yes.

Mel Robbins 7:18 Go.

Ally Miller 7:18 Okay. Let's say that the reason you're looking up a flight, let's say that you're planning a family vacation or something.

Mel Robbins 7:23 Yep.

Ally Miller 7:24 Okay. Instead of what we used to do, for the last 20 years when we've Googled these things-

Mel Robbins 7:30 Right.

Ally Miller 7:30 ... you would Google, "Flights from Boston to Atlanta."

Mel Robbins 7:33 Right.

Ally Miller 7:33 You would then have to filter nonstop, one stop, different airlines, because you got points there, points there, whatever.

Mel Robbins 7:39 Mm-hmm.

Ally Miller 7:39 And you would still have to be that big filter mechanism. New age-

Mel Robbins 7:45 Yep.

Ally Miller 7:45 ... you're gonna go into one of these systems. It's gonna have access to the internet. And instead of going, "Pull me all the flights from Boston to Atlanta," you're actually gonna say, "My family of five wants to go somewhere warm in September. Uh, we are, you know, thinking about Charleston, Savannah, but we wanna try something new. We're thinking three days, maybe it's five. We've already gone to, you know, Scottsdale. Here's three reasons why we liked it. Here's two reasons we liked Texas. Here's four reasons we're thinking about Bermuda. Uh, my, you know, son's allergic to strawberries. My, my daughter really wants to stay hydrated. My other daughter wants to do yoga." Whatever. You're gonna be able to feed in that amount of context. And before you even decide that you wanted to pick Atlanta, it's gonna act as that co-pilot because you're bringing in all that context.

Mel Robbins 8:33 Mm.

Ally Miller 8:33 So in addition to it finding your flights, which again, you could totally Google that. I still Google things, to be clear. It in- in addition to finding those flights, it is going to help you create an entire action plan around this vacation.

Mel Robbins 8:49 So it's basically gonna make a recommendation based on all the things you told it and crunching all the data, and-

Ally Miller 8:54 Totally.

Mel Robbins 8:54 ... what other people have searched for and given a thumbs up and thumbs down?

Ally Miller 8:58 B- based on, uh, not even things that people have searched for. Based on just any time people have written about things that are kind of similar to Atlanta or Savannah, or, or some place that is totally not similar, right? A sauna, it might be some sort of relation, where people go, "Okay, in warm places, maybe you do this hobby instead of that hobby." So-

Mel Robbins 9:19 That would be so helpful.

Ally Miller 9:20 It's incredibly helpful, and what I think a lot of people miss, uh, is that these systems can add so much more action into your life.

Mel Robbins 9:31 It also immediately made me feel, as a mom (laughs) , like, 'cause you're managing so many different variables on anything that you're actually searching for, that being able to turn all of those concerns and variables and but this, but that, but this versus go-

Ally Miller 9:48 Yes.

Mel Robbins 9:48 What are the right flights to get us to the same airport-

Ally Miller 9:50 Yes.

Mel Robbins 9:50 ... or train station at roughly the same time? I felt like a giant exhale. And one of the reasons why I was so excited to talk to you is, it's already here. We use it in just about every aspect of the way that we work at the Mel Robbins Podcast and 143 Studios, and, and I have not started using it-

Ally Miller 10:19 Hmm.

Mel Robbins 10:19 ... in my day-to-day life.

Ally Miller 10:21 Okay.

Mel Robbins 10:22 And it is kind of everywhere.

Ally Miller 10:25 Yeah.

Mel Robbins 10:25 And I noticed that, and maybe you noticed as you're listening to Ali or watching this right now, that your phone needs more updates than ever, because every app is having an update because it's got AI in it. And so it's already here, and so I was excited to talk to you because it has exploded. It has accelerated, and I don't want to get left behind. I don't want women in particular to lean back and get left behind. And I'd love to hear, what is the takeaway for someone listening to this conversation, about the opportunity that is available to you if you lean into utilizing the power of this in your

Mel Robbins 11:09 day-to-day life?

Ally Miller 11:10 I like to think of it in a couple different categories. The obvious one that I think people read a lot about and, and pick up a lot more quickly is the productivity side, is doing things that you're already doing today faster.

Mel Robbins 11:25 Give me a couple quick examples.

Ally Miller 11:27 Writing emails faster, writing blog posts faster, taking your blog post, creating a video out of it faster, right? Like, like, the idea that just speed, and, uh, th- the, the idea that we can synthesize an article, right? All of that is things that you would already be doing. You'd already read the article.

Mel Robbins 11:44 Mm.

Ally Miller 11:45 But it's able to do it a lot more quickly.

Mel Robbins 11:47 Okay.

Ally Miller 11:47 Or, and at a, at a bigger scale as well, right?

Mel Robbins 11:49 Right.

Ally Miller 11:49 I can synthesize 10,000 pages in a paragraph in, like, a minute. That is the category of doing things faster. Second category is doing things better.

Mel Robbins 11:59 Mm.

Ally Miller 12:00 And this is what everyone is missing out on, which is, yes, I could use it to, to cheat on my college essay. But-

Mel Robbins 12:10 You're not recommending that.

Ally Miller 12:11 I am never-

Mel Robbins 12:12 (laughs)

Ally Miller 12:12 ... going to recommend that. But to think that you should not use AI in that process might also be wrong. So any time that I'm coming up with, like, a big plan, right? Let's say that I'm coming up with a plan for how I wanna show up to this podcast. I might, uh, ask AI to interview me-... and ask, like, go full Mel Robbins on me, and just say, "Hey, ask me 20 questions to get out more information that I can work from." I might say, "Here's my plan. What are five risks that I might not be thinking about and what are ways to mitigate those risks?" I might say, "What are 10 crazy ways to make this, you know, more interesting?" And maybe it tells me to bring a yellow pen because it's all Mel branded.

Mel Robbins 12:53 (laughs)

Ally Miller 12:54 And obviously, that's, you know, a small, small example. But your work can be so much better, and I think so many people fall into this productivity trap. And the third, which is even harder to figure out, is doing new stuff, right? So doing things that you're already doing today but faster, things you're already doing today but better, and then net new, holy cow, can you even believe I did that? And I'll give you one example here, just because it's personal life. It's not, you know, life-changing right when you hear it, but then you hear a little bit of value around it and you go, "Wow, they really did that." Woman that I talk... I joined, like, a Mahjong club in, in New York, obviously.

Mel Robbins 13:34 My, shout out to my mother, she taught me Mahjong.

Ally Miller 13:36 Really?

Mel Robbins 13:36 I, I love the clicking noise.

Ally Miller 13:38 Okay.

Mel Robbins 13:38 And I love playing it. Okay, so-

Ally Miller 13:39 Heck yeah.

Mel Robbins 13:40 ... I'm in.

Ally Miller 13:40 You and your, you know, like, your mother and I are gonna be best friends. So this woman wanted to become a better Mahjong player because it allowed her to bond better with these people in this club.

Mel Robbins 13:49 Mm.

Ally Miller 13:50 She used AI as a non-coder to create an entire app to teach her how to play Mahjong, to drill her on the tiles, to drill her on the, you know, combinations so that she wasn't using her time buried in this little notebook of the different rules, so that she could spend that time actually hanging with these people and creating lasting friendships. So again, the AI component of that is not the coolest part of that story. The AI component generating her own app, building it in a couple days, and now she uses it literally on the subway to train, it allowed her to create more value in her life-

Mel Robbins 14:26 Mm.

Ally Miller 14:27 ... that could not exist as a non-coder before. These systems are, are so accessible. We have never had tech be as accessible as it is today. We've never had the ability for non-coders to jump in, and women are adopting AI 25% less than men. And I just think about what societal opportunities we're missing out on, what economic opportunities we're missing out on. It- it is such a big jump that people feel that they have to take, and actually, it's really just about opening up this thing, testing out a few prompts, and just getting your feet wet. Your gears are gonna start turning, right? Your listeners are brilliant people. I read your comments. They are brilliant, brilliant folks. It is all about giving yourself the best chance of being able to capitalize on these tools and build the value that you want in your life.

Mel Robbins 15:18 What do you say to the person who's nodding along and is like, "That sounds really cool, never thought about how I could use it to, you know, be faster,

Mel Robbins 15:26 better, or do things I never-"

Ally Miller 15:27 Yeah.

Mel Robbins 15:27 "... even imagined," but they're not sure, and they're kind of waiting for the right moment to jump in and learn AI? Ally, what do you want to say if that's you?

Ally Miller 15:47 Five, four, three, two, one, right?

Mel Robbins 15:48 (laughs)

Ally Miller 15:49 (laughs) You just... I- I- I want to dispel people of the myth that there is perfection in our lives period, right? In our, in our financial decisions, in, in the way that we decide to make dinner that night or hang out with our kids that day. Uh, we're- we're waiting for something that doesn't exist in our lives. And so, at least when I look at people that I look up to that are successful, it's people who jumped in and did the thing.

Mel Robbins 16:18 Mm.

Ally Miller 16:19 And I would also say that it's not a- it's not that big of a leap. The people who are winning in AI are not these big, crazy, risky decision-makers. It's people who are taking

Ally Miller 16:30 these quick little wins and quickly iterating and creating a little system of adaptability. It's people who actually think a little bit smaller and get those, you know, their- their feet wet.

Mel Robbins 16:41 Here's how I think about it. I think about it like having a personal executive assistant. Like, all of the things you wish somebody else could handle, (laughs) whether it's, you know, coming up with a perfect workout routine if you want to have more defined calves, learning a better walking loop in your neighborhood when you only have 20 minutes, uh, figure... Like, I just feel like there's so many ways you could use it-

Ally Miller 17:09 Yeah.

Mel Robbins 17:09 ... that I personally have only just scratched the surface.

Ally Miller 17:13 I think of f- there's, like, four interaction modes that I think about and again, most people are stuck at step one. And so for the person listening, please do something to try one of these three others.

Mel Robbins 17:24 Okay.

Ally Miller 17:24 Okay, number one, micro-tasker. That's like the make a meal plan for these 20 people that are going out to dinner, two people are gluten-free, one person only likes ham, whatever. And you're gonna be able to very quickly do that. Um, that might also be the flight search example. Number two is as a real-time companion.

Mel Robbins 17:43 Okay, what does that mean?

Ally Miller 17:44 You can just pull up these systems and be in a live video chat. And so as an example-

Mel Robbins 17:50 Why would you want to do that?

Ally Miller 17:51 (laughs) I went to a board game bar. And my friend and I had 45 minutes, and I could have spent 20 of those 45 minutes evaluating

Ally Miller 18:02 every single game that existed, and we'd only have 25 minutes to play. Instead, I opened up video mode, and I am just scanning through, and I go, "We have two people, 45 minutes. I want an easy game. I wanna have fun. Tell me which one."

Mel Robbins 18:16 What you're saying is that you can open up video mode, scan an environment, and it's almost like having a guide and a decision-maker to help you assess what's happening. Could you do that if you're lost somewhere?

Ally Miller 18:30 Uh, it's scary good at picking up on, like-... locations, especially if you're in something recognizable. If you're in the middle of nowhere and you're using Google because it has Google Maps tapped in, it might be pretty good. In general, I wouldn't trust it, for being honest.

Mel Robbins 18:46 Got it.

Ally Miller 18:46 I would just open up Waze or Google Maps or something.

Mel Robbins 18:48 Gotcha. The, I understand what... This is like-

Ally Miller 18:50 Yeah.

Mel Robbins 18:50 ... I think a lot of us have discovered the ability to take a photo and then search-

Ally Miller 18:54 Yeah.

Mel Robbins 18:54 ... what's in the photo-

Ally Miller 18:56 Yeah. Good.

Mel Robbins 18:56 ... by putting it in a search engine.

Ally Miller 18:57 Sure.

Mel Robbins 18:57 You're basically saying there's a second step where you can use the video scanning, or like, open up the video. I didn't even know this existed.

Ally Miller 19:06 Oh, yeah.

Mel Robbins 19:06 So already I'm like, "You can do that?"

Ally Miller 19:08 My- my... So many people have ADHD. My- my willingness to get something done goes crazy high when I know that I'm not alone in that task, whatever it is. So I have been in a live, uh, video stream with AI where I'm screen sharing what is on my screen, and I am navigating Etsy to pick- to pick out, like, the perfect gift, right? And I'm just having a chat back and forth, but it's like being in a Google Meet with an AI that can see everything that you see.

Mel Robbins 19:38 So it's literally the same as you typing in-

Ally Miller 19:43 Mm-hmm.

Mel Robbins 19:43 ... the meal plan that you want.

Ally Miller 19:45 Mm-hmm. Mm-hmm.

Mel Robbins 19:45 But instead, this is like open up your fridge and scan it with the video AI mode-

Ally Miller 19:50 Yeah.

Mel Robbins 19:50 ... and go, "Tell me what I can make with this."

Ally Miller 19:52 I have an... Do like-

Mel Robbins 19:53 I needed this 20 years ago.

Ally Miller 19:55 (laughs) We've got you covered.

Mel Robbins 19:56 How do I turn this on?

Ally Miller 19:57 Okay. (laughs)

Mel Robbins 19:58 Like this is the level at which I'm at.

Ally Miller 20:00 So I'll give you one example. I am a terrible cook.

Mel Robbins 20:04 Okay.

Ally Miller 20:04 Everyone that knows me knows this. But my sister told me that cooking is just chopping things up and heating things up. And so I'm trying to get better at this, but the recipes part eludes me. And I take a photo of my fridge, a photo of my pantry, and I hit enter, and it tells me exactly what I can make. It gives me a couple recipes that are, uh, that have ingredients that are missing, and it tells me the exact grocery shopping list that if I go to Trader Joe's I can grab. So that is something that has saved me literal hours-

Mel Robbins 20:34 And money.

Ally Miller 20:35 And money.

Mel Robbins 20:36 And food that didn't go to waste.

Ally Miller 20:38 100%. I'm no longer that person-

Mel Robbins 20:40 And emotions that I feel-

Ally Miller 20:41 Mm-hmm.

Mel Robbins 20:42 ... because I feel like a bad person for wasting the food, and then I feel like an idiot-

Ally Miller 20:45 When you throw out the spinach.

Mel Robbins 20:45 ... for not ha- being organized enough.

Ally Miller 20:47 Yes. I live in New York, so this is a lot easier for me to do. I'll walk down the street and have an entire conversation with an AI system. I will talk through a problem just to be like, "Devil's advocate, am I the asshole," right? And I will just talk through this idea as if I'm on the phone call with someone.

Mel Robbins 21:02 Wow. What's-

Ally Miller 21:02 I can do this at 2:00 in the morning.

Mel Robbins 21:04 What's the third interaction type? So if you've got the prompting-

Ally Miller 21:07 Yeah.

Mel Robbins 21:07 ... now we have sort of the live video-

Ally Miller 21:10 Real time.

Mel Robbins 21:10 ... voice thing, real time.

Ally Miller 21:11 Yeah.

Mel Robbins 21:11 Acting like an assistant, like helping you out here.

Ally Miller 21:14 Yeah.

Mel Robbins 21:14 Okay, what's the third?

Ally Miller 21:15 Two others. You've got delegate, which is really happening right now, where you can give AI a 20-minute task and it'll come back to you with an answer. So you might say, uh, you know, let's say that you're a teacher and, uh, you really wanna come up with a new lesson plan for chemistry. You can say to any of these agent tools, you can say, "I'm a teacher." You know, "I wanna be able to pull off a new thing in chemistry." Uh, I can upload screenshots upon screenshots of all of the years of reviews that I've gotten from students. I can feed it all into the system, and I can say, "I want to come up with a new chemistry plan. Go online, find me 100 other examples, and create an entire spreadsheet for me, an entire document summarizing this, and an entire pamphlet that designs the, you know, PowerPoint around it, so that I come back to it 20 minutes later and I already have this fully done report for me."

Mel Robbins 22:16 Wow.

Ally Miller 22:17 So I am constantly delegating big, big planning tasks, particularly things that are rooted in research or data entry, because that's where AI is still really good.

Mel Robbins 22:26 You know what's super exciting about that?

Ally Miller 22:27 Yeah.

Mel Robbins 22:27 For anybody that has typically kind of a business or a anything, that it's kinda just you, you're a realtor-

Ally Miller 22:39 Yes.

Mel Robbins 22:39 ... or you're a teacher, or you're a nurse, or whatever it may be-

Ally Miller 22:43 Yes.

Mel Robbins 22:43 ... and you're like, "Who do I give this to? I need a website. I don't- I don't know how to... I don't have anybody to delegate it to. I don't have the money to do that kind of thing," you're telling us that there are tools available now for free that are your team, that you can learn how to use pretty quickly, that can do all of this work that for years you've had nobody there to do. Whether it's social media stuff, whether it's a business plan, whether it's a website, whether it's an app, whether it's a marketing plan, whether it's analyzing what the realtor competitor that you hate is doing that you wanna do... Like, all of it.

Ally Miller 23:21 Yes.

Mel Robbins 23:22 It's like a free research assistant.

Ally Miller 23:24 And I think solopreneurs used to feel like they were deserted on an island and that no one understood them, they had no help, right? AI gives you 20% of a marketing person, 20% of a customer support person. We're still gonna use amazing video editors for stuff like this podcast, right? But the average person is now able to record themselves for an hour, upload this video to a tool, and immediately get 15 clips that they can post, and those 15 clips come already precut, already captioned. I know people that are taking their Instagram videos and immediately turning them into Spanish and posting those on a second channel. The reach that you can have, the impact that you can have has...... you know, increase by 20%, 10X, whatever. And so many people aren't taking advantage of it because I think deep down, they feel like it's wrong, or it's cheating, or something like that. But people that take advantage of it now are going to gain this velocity that is gonna be really hard to catch up on in the next two years.

Mel Robbins 24:27 What is the fourth interaction type?

Ally Miller 24:30 Teammate. Which for folks that might be at bigger companies, uh, for folks that are, you know, maybe they're part of the marketing department or something, think about, yes, you said they all had their executive assistant, what if your entire team just got a little helper?

Mel Robbins 24:45 Hmm.

Ally Miller 24:45 So as an example, you know, maybe you record all of your meetings with one of these tools. Suddenly, you can have an AI system that is sending out automated reports every single Friday morning to your entire team going, "What did we not do today? What's the status of this project? What's the latest?" 'Cause it's able to grab from documents, it's able to read Google Drive, it's able to look at Gmail. And so it is lifting up the tide of your entire team.

Mel Robbins 25:13 What is the biggest mistake you tend to make when you start using AI, and how do you fix this mistake?

Ally Miller 25:22 I'd say the average person is not bringing in enough context.

Mel Robbins 25:28 Okay.

Ally Miller 25:28 They're coming into these systems, and they're going, "Plan me a family vacation to Greece."

Mel Robbins 25:34 Okay.

Ally Miller 25:35 Right? Who's your family? What vacations have you taken before, right?

Mel Robbins 25:38 Oh.

Ally Miller 25:39 Or you're coming in and you're- you're... Let's say you built- you- you're building a house, right? Or you just bought a new apartment, and you come in and you just say, "Help me fix my apartment. Help me be more organized in my apartment." Huh?

Mel Robbins 25:49 So how would you do that with the apartment? 'Cause my daughter-

Ally Miller 25:52 Yeah.

Mel Robbins 25:52 ... just moved into a new apartment.

Ally Miller 25:53 Fantastic.

Mel Robbins 25:54 Every day I'm getting a call.

Ally Miller 25:55 Yep.

Mel Robbins 25:55 Overwhelmed-

Ally Miller 25:56 Yeah.

Mel Robbins 25:56 ... because you forget that when you move into an apartment, there's not a spoon.

Ally Miller 26:00 (laughs)

Mel Robbins 26:00 There's not a hanger. (laughs) There's not a-

Ally Miller 26:03 Yeah.

Mel Robbins 26:03 ... waste

Mel Robbins 26:04 paper basket.

Ally Miller 26:06 Yes. Yes.

Mel Robbins 26:06 And then it's overwhelming.

Ally Miller 26:08 Yes.

Mel Robbins 26:08 And so how would you use it? Because you said the biggest mistake is context.

Ally Miller 26:14 Yes.

Mel Robbins 26:14 So I get it with the vacation, 'cause you could be like, "My kids are these ages."

Ally Miller 26:16 Yes. Yeah.

Mel Robbins 26:16 "This is many days. These are the dates. This is what we like to do." So the more context, the more it could help. How do you do the apartment?

Ally Miller 26:23 So apartment, let's say that you give, you know, a photo of your apartment, the square footage, photos of your previous apartment, concerns that you had about your previous apartment. "Oh, I didn't have enough storage. I didn't have enough place for my board games. I didn't get enough natural light at my desk." Right? So you can share all that. You can say, "And I'm also worried that someone's gonna walk in and see my bed unmade," right? Boom. Think about how AI- how AI might solve that. And, uh, "I'm concerned that people are gonna think I don't have enough furniture or that I have too much furniture, that I'm gonna have weird sense of art."

Mel Robbins 26:54 Or how do I make it look like this is full when I only have-

Ally Miller 26:57 Oh, my God, 100%.

Mel Robbins 26:58 ... like the money for a second hand.

Ally Miller 26:59 Right? Or, or-

Mel Robbins 27:00 Could you actually say, "Find me a couch"?

Ally Miller 27:03 Yes.

Mel Robbins 27:03 "I have this much money."

Ally Miller 27:05 Yes.

Mel Robbins 27:05 "Scan online"-

Ally Miller 27:06 Yes.

Mel Robbins 27:07 "... that has delivery."

Ally Miller 27:08 100%.

Mel Robbins 27:09 Oh, my God.

Ally Miller 27:09 I went to an AI system and I said, "I wanna find a watch. I wanna find a watch that's less

Ally Miller 27:14 than $50, AI themed. I only want it to be square or circle. I don't like anything that's rectangle. I only like black and gold. I need it to be..." ba- ba- ba- ba- whatever. I gave it 15 parameters and I said, "Go." It is working. And by the way, I can see it working the whole time. That's the cool part.

Mel Robbins 27:29 Why? Because the wheel is spinning?

Ally Miller 27:30 No, because I'm literally watching it navigate websites. Imagine that it goes into another room and it, you know, opens up the laptop and it just works on its own. You're watching it, right? Just like an IT person would, like, tap into your computer. You're literally watching it navigate and scroll and click and...

Mel Robbins 27:48 Wait, so is it controlling your computer?

Ally Miller 27:50 It is controlling a virtual computer that you're just watching like an observer.

Mel Robbins 27:55 Are there risks to using agent mode? I mean, this sounds amazing, but-

Ally Miller 27:58 Yeah.

Mel Robbins 27:58 ... I'm just-

Ally Miller 27:59 There- there are def- there are risks of everything. The main risk to think about would be, let's say that you're saying, "I wanna buy a couch." And at some point you're gonna go, "Add it to my Wayfair cart, and I wanna check out," right? Or, "I'm buying this thing from Ashley. How do I give it my credit card?"

Mel Robbins 28:20 Hmm.

Ally Miller 28:20 Right? You're gonna take over that screen.

Mel Robbins 28:23 Got it.

Ally Miller 28:24 It's not looking in that moment. You type in your credit card details, and you say, "Okay, I'm done." And the AI model goes, "Sure?"

Mel Robbins 28:31 (laughs)

Ally Miller 28:31 And you go, "Yeah, yeah, yeah, I'm done."

Mel Robbins 28:32 (laughs)

Ally Miller 28:32 And then you come back in and you keep going. So anytime you're logging in, anytime you're giving financial details, that's gonna be an extra layer of concern. But these systems are not tracking that- that, uh-

Mel Robbins 28:46 Got it. Got it.

Ally Miller 28:46 ... remote control. Yeah.

Mel Robbins 28:47 That is so cool.

Ally Miller 28:49 Yeah.

Mel Robbins 28:49 I- I'm- I don't wanna talk to you anymore.

Ally Miller 28:50 (laughs)

Mel Robbins 28:51 I wanna go try this. I-

Ally Miller 28:52 We can spin up the laptop right here. I love this stuff.

Mel Robbins 28:54 I- I- It's pretty incredible. Um, as somebody who's advised top companies and even governments on how to use AI, what is one simple trick that everybody misses that would instantly save time for you if you try this, and it would save time every day?

Ally Miller 29:12 Can I give you two? One that is very easy and one that's weird.

Mel Robbins 29:14 You can give me five. Yes, go for it.

Ally Miller 29:16 (laughs) Okay. The one that is very easy that everyone can start with is having AI interview you, right?

Mel Robbins 29:23 Hmm.

Ally Miller 29:23 Coming to it with a problem and just saying, "I need to redesign my apartment. I need to, uh, come up with a plan on how to keep my mother entertained when she visits." Right? You come to it with a problem and then you, instead of coming with this whole long prompt, you can say, "I don't really know how to solve this problem. Help me help you. Ask me 5, 10, 20 questions." And then you're gonna turn on dictation and you're just gonna talk and complain

Ally Miller 29:55 and ramble and you're gonna say, "I'm thinking about this. I'm worried about this. I tried this. This didn't work." You know, "Here are five things that I know I'm good at, five things I think I'm bad at, three ways that my boss is yelling at me, two people that I wanna hire," whatever sort of context you need to bring in. Ramble, ramble, ramble, enter.I do this when I'm at the hair salon, right? I just have it ask me questions, and while I'm sitting there with the dye on my head, I just whisper to it for 20 minutes. And I'm able to get four hours of work done in 20 minutes. That is a crazy easy one, right? Go, go Mel Robbins mode, go Barbara Walters mode, ask for AI to interview you.

Mel Robbins 30:35 Well, you know what's interesting about it is, first of all, you keep reminding us the amount of context you give it is critical, and is d-directly related to the value of the information you're gonna get back. The second thing is, is that what you're doing when you take the time to think through scenarios, and you take the time to get really present to either the thing that you're worried about or the thing you really want to achieve, and then, you utilize a tool like this to make yourself smarter and more effective, is you're just using all of the foundational psychological principles called if-then planning. You are using all of the things that w- human beings have done forever. You're just utilizing a dataset to help you do it faster and better, and then, that makes you more confident and more equipped to go into the r- your real life and follow the advice that feels right for you. It's like practicing.

Ally Miller 31:40 It is a brilliant view into this space-

Mel Robbins 31:44 Mm-hmm.

Ally Miller 31:44 ... because so many people look at it as faster Google when it's actually a prosthesis for reinvention, right?

Mel Robbins 31:54 Mm-hmm.

Ally Miller 31:54 There is so much you can do with it that just searching faster almost feels limiting. I have this Post-it on my desk that says, "Use AI to become the person you wanna be," and it helps me get out of that productivity trap-

Mel Robbins 32:11 Mm.

Ally Miller 32:11 ... where, again, I'm just using it to write emails faster or I'm just using it to, uh, you know, to find information. It reminds me that the real challenge of these systems is, wait a second, how can I take all the excuses that I've had over the last, I'm not gonna say how old I am, but (laughs) like, I'm gonna take all the excuses and get rid of those excuses, right? If I had had this when I was starting my business and I could go to it and say, "How do I start an LLC? What are the big concerns when I'm picking a lawyer? How do I pick a good accountant? What are 20 questions to ask my first hire?" I would've been in such a better spot. And so again, it's using AI to become that person that you wanna be. Not over-relying on it, not misusing and abusing it, not lazily offloading to it, but using it as that method for reinvention, tool for reinvention.

Mel Robbins 33:06 Um, what if I work for an employer who isn't using AI?

Ally Miller 33:12 Pr- prepare to qui- quit. Like, we are three years into the AI revolution, and if your employer is actively banning this technology, and in three years has not yet carved out a safe, responsible AI policy that allows them to use it in their work, you are at a massive disadvantage for your work, your life, your career. You're gonna be less hireable in your next couple roles. You know, maybe if you're in manufacturing or plumbing or HVAC or something, it's fine. I'm talking about the knowledge workers who could be leveraging this. Your company, w- whether they're doing it intentionally or not, they are putting you at a massive disadvantage for the next several years of your career. For that person, I would say learn AI, raise your hand, try and have AI, you know, be at that company and say, "Can I lead it? Can I take on the first project?" Right? That's an opportunity to be a big leader in your org. If you are met with no and they say, "I don't wanna use the tool. I don't trust it. You can't take on that project," leave your company. And I know that that sounds like a privileged statement, and it, it is to a certain degree. You need to make a plan to do that, even if it means leaving and working for yourself and being a coach that uses AI, that is able to be more efficient and is able to have more clients that they can help. But w- we're three years into this. A year into it, I wouldn't have said that. Three years into it, I'm saying it.

Mel Robbins 34:42 Um, okay, we hear the call. We need to leave, now I'm looking for a job. What is the best way to use AI to help me find a job that I love?

Ally Miller 34:54 Number one is I would describe to AI what you have done in the past and talk through all of your previous roles. Describe the tasks that you took on and, very specifically, the tasks you liked and didn't like. I don't care if you've been a, a accountant for the last nine years. Maybe you don't wanna be an accountant anymore, right? So this is an opportunity to give all that weird nuance you can't really give into a Google search. So what have you done? What tasks have you taken on? What did you like? What did you not like? What were the concerns you had at previous places? What types of companies do you enjoy? Big companies, small companies? Um, what, what entices you about, you know, going into the office every five days, uh, going to the office five days a week, working from home the whole time?

Mel Robbins 35:40 Mm-hmm.

Ally Miller 35:40 Uh, remote and you get to fly to Italy once a month or never traveling 'cause you're afraid of planes? Whatever the thing is, you wanna add in all that context and then you're gonna say, "Give me three jobs that I am a, you know, perfect, perfect fit for. Give me five jobs that you think I could be a fit for if I just told the right story. Give me five jobs that I could be a perfect fit for if I just took a couple, you know, courses, Google courses, Microsoft, LinkedIn, whatever courses, and give me five jobs that you think that I really, really want to reach for but would be absolutely nuts if I went for it and would take me a year to make that pivot into," right? And maybe that's gonna tell you to go to a big boot camp or get your master's in some degree.... that is the type of action plan that you can get with AI. Once you get that back, you're gonna then say, "Great, here's my resume. What are 20 changes I should make? What are 13 ways

Ally Miller 36:35 that I'm missing out on, on making this the perfect resume?" Go out and find 150 examples of great resumes. Go and find 20 blog posts from Google, Microsoft, or from KPMG or BCG, wherever you want to get hired, and have those blogs synthesize, give me five best practices and give me exactly how I should edit my resume. Great, now you have an updated resume. Now you have a, you know, stronger action plan. Even the way you're gonna do the writing and the outreach is gonna be AI supported, is gonna be AI first, right? How can I make a splash and work for you, Mel? Maybe it's gonna tell me to show up at your offices and sing a telegram, right? Like, we don't really know. But you can ask for ways to stand out. You can ask for ways to pitch yourself. You can ask for ways to create your narrative. And, and even when you're in the interview, you know, what are 20 questions I can ask this person to stand out? Every little part of that job search process can be AI first, and then, of course, being someone that knows how to use AI is gonna make your resume that much stronger.

Mel Robbins 37:42 Sitting here listening now, I'm going, "Now I know why I'm not getting hired by anybody."

Ally Miller 37:46 (laughs)

Mel Robbins 37:46 Because I'm not doing any of those things.

Ally Miller 37:48 (laughs) There you go.

Mel Robbins 37:49 But, eh, seriously though, isn't it also important because doing all that optimizes your resume to be scanned by AI?

Ally Miller 38:01 Yeah, there's a weird... There's this weird, um, AI eating AI moment.

Mel Robbins 38:06 Uh-huh.

Ally Miller 38:06 That, you know, even when we're shopping for things online, if I have an AI agent

Ally Miller 38:14 shop for me and the car brand that I'm trying to buy from has an AI agent answering all of its sales questions, what are we doing? It's two AI agents acting as proxies for these people talking to one another. So, it can feel very weird when you are creating things with AI that is then read by an AI. What I, what I also want to advocate for is there are so many ways to stand out that have nothing to do with tech and online application, whatever. You could, you know, have AI help coach you through how to ask a common friend for an introduction.

Mel Robbins 38:50 Mm.

Ally Miller 38:50 A lot of people feel very uncomfortable around that.

Mel Robbins 38:52 Yes.

Ally Miller 38:52 Have it coach you through that moment of discomfort, so you can push back, right? There are so many ways that you can use AI in the process, not just doing the work for you, writing your resume.

Mel Robbins 39:05 Mm.

Ally Miller 39:06 And so having it coach you to ask for that, um, having it help you po- post on LinkedIn and say, "I'm sorry, I got laid off. I am in a situation where I have these skills and I need help. I don't usually ask for help this publicly, but I need you." You've never written that post before. AI can find a thousand people who have posted that before and can help you get through that obstacle, that friction, so that you can get the life you want.

Mel Robbins 39:35 I love that because you're right. All of the things you just walked us through will help you leverage it for positioning yourself, but you keep reminding us that AI can also be this coach almost that can help you do the preparation, figure out how to have the conversation, uh, practice the interview so that you're preparing, so that when the real life stuff happens, you've actually prepared.

Ally Miller 40:04 Yeah.

Mel Robbins 40:04 Like, using it that way is almost more important because you're not hiding behind it. You're using it to help you be more of yourself and to be a better communicator and be more effective.

Ally Miller 40:17 Yes. I think there's a lot of online discourse that AI is, is ruining our authenticity.

Mel Robbins 40:24 Hm.

Ally Miller 40:24 When there are some people that could lean into using AI and actually help you live a more authentic life. I'm, I'm a weirdo in my life. Like, I organized this, like, big dumpling taste test for my friends. I had a, a friend who's a violinist come play, and all of us laid down on the ground and just stared up at, like, fake stars that I put up on the ceiling. Like, using AI to come up with, like, weird whimsy ideas, because Google is not gonna be able to do that. You can live a more authentic life. Again, I'm not offloading to AI. I'm having it support me in the way that I want. So I think that's such a important idea because I'm still bringing myself into all these conversations, all these relationships, my job, my client conversations. You still have to be the person who's authentic, the person who's confident, the person who's earning trust. You're not gonna... Until we have brain-computer interfaces, it's still you, no matter how much you're using AI.

Mel Robbins 41:20 I, I would love to know, are there top of mind ways for caregivers

Mel Robbins 41:27 to use AI-

Ally Miller 41:28 Hm.

Mel Robbins 41:30 ... to save time or find support and help that you can... that you've heard of that you can think of?

Ally Miller 41:38 Absolutely. First, let me say, there's an AI use case for everything. As a caregiver, one of my followers sent me an entire app that he built out. Again, does not require code. He is not a coder. He is just someone who played around enough to make this thing work.

Mel Robbins 41:56 Okay.

Ally Miller 41:57 It summarizes all the emails that he gets from his school, from his kids' school-

Mel Robbins 42:02 Yep.

Ally Miller 42:03 ... so that he knows exactly what's happening at the school. It summarizes every week. It gives him a calendar. It gives him action items, okay? It even looks at the emails that he gets from his partner to be able to put that into the summary. And every single morning, automated, it gives him a summary to look at. And so-... the caregivers that I meet with, whether they're looking after, you know, children or family members or friends that they've taken in, or parents, there is just so much noise and for whatever reason, we've decided it's a good idea as a society to have, like, 20 different sources for this noise.

Mel Robbins 42:39 Mm.

Ally Miller 42:40 AI can act as a really strong synthesizer that can pull in sources and can summarize things for you and make it digestible and can automate that sort of check-in.

Mel Robbins 42:51 Is there a particular prompt that if the, if you're listening and you're like, "Okay, what's a problem you're dealing with," whether you have to, um, plan the first birthday party for your kids and you're newly divorced and you need advice, or you are asking for a raise at work and you're scared to do it, or you have a neighbor that plays their music really loud and you don't know what to do.

Ally Miller 43:20 (laughs)

Mel Robbins 43:21 Or as it was me this morning, I couldn't turn on my new Dyson blow dryer, right? (laughs) So I... like there is a problem that you have. It could be anything. What is the prompt that you would recommend to the person that is leaning into this for the first time that helps you dip your toe into the water to solve something big or small that you have in your life?

Ally Miller 43:52 One structure that you can use is, "I'm a blank who's trying to blank." And by the way, these blanks are long bits of context you might give it.

Mel Robbins 44:01 Great. I'm a 57-year-old woman and mother of three who is trying to turn on my hair dryer-

Ally Miller 44:05 Yes. (laughs)

Mel Robbins 44:05 ... and I can't figure it in the hotel.

Ally Miller 44:07 (laughs)

Mel Robbins 44:08 (laughs)

Ally Miller 44:08 And I'm trying to, right, turn on-

Mel Robbins 44:10 Yeah.

Ally Miller 44:10 ... that blow dryer. I have tried plugging

Ally Miller 44:13 it into multiple outlets. I have tried hitting the reset button. I have tried turning it off and on. I am nervous that I'm going to electrocute myself.

Mel Robbins 44:23 Okay.

Ally Miller 44:23 I have double-checked the manual, right? You can give it things that you've tried before, things that you wanna do, things that you're worried about.

Mel Robbins 44:31 Yep.

Ally Miller 44:31 Um, methods that you, things that you might wanna get done. Really, all I wanna do is curl my hair, right? And then you can say not just, "What's the answer?" Right? And maybe blow dryer is one where you just might say, "What's the answer?"

Mel Robbins 44:45 Right.

Ally Miller 44:46 But if it's something more complicated, you're not just gonna say, "What's the answer?"

Ally Miller 44:50 You're gonna ask for tons of options for answers.

Mel Robbins 44:54 Got it.

Ally Miller 44:54 And then you will also ask the AI to rank and score the answers.

Mel Robbins 44:58 Got... Oh.

Ally Miller 44:58 So you might be, uh, you had said, yelling at your neighbor 'cause-

Mel Robbins 45:02 Well, I can give you, I can give you an even more-

Ally Miller 45:03 Yeah.

Mel Robbins 45:03 ... profound example.

Ally Miller 45:04 Yeah.

Mel Robbins 45:04 You're a caregiver for your aging parents.

Ally Miller 45:07 Yeah.

Mel Robbins 45:07 Dad is succumbing to dementia. Your three siblings who live in different places are not helping. You're at your wits' end. That sounds like a problem.

Ally Miller 45:16 Yes.

Mel Robbins 45:16 So you write in there, "I am a, you know, whatever caregiver and this is the situation and this is what I'm looking to solve, and what are all the different answers?"

Ally Miller 45:26 Yes. And you can go crazy deep into these prompts. In addition to asking for the answers, you can also say, "What are five ways I should even think about this problem?"

Mel Robbins 45:37 Mm.

Ally Miller 45:38 Right? And help me solution each of these ways. You might say, "I've already tried these three problems. Here's how it blew up in my face. Give me new ways of approaching this." You might say, "I think I already know the answer to this problem. Give me three ways this might go wrong." So you're gonna bring in that context, things just about yourself, about the situation, the context that you're in, the environment. It is a different solution for every little problem. And the joy that I have when I use these AI systems-

Mel Robbins 46:09 Mm.

Ally Miller 46:09 ... is I tell it how weird and unique my situation is, because there's no way that you can help me with my unique situation. I am a perfect, little, unique thing. No one's ever lived this life. And it helps me think through that problem.

Mel Robbins 46:22 Let's talk about accuracy. So where is the tech at this point, it's 2025, in terms of just general AI and accuracy of what it's spitting back to you? I- I- I'll give you a example. Last week, if you, uh, did a search for me, you would find out I was divorced, that I drive a Lamborghini. There would be all other kinds of things that are untrue.

Ally Miller 46:54 The accuracy of these systems right now, the best models have a hallucination rate.

Mel Robbins 47:02 A who?

Ally Miller 47:03 Yeah, let's first... Yeah. Good call, good call, good call. (laughs)

Mel Robbins 47:05 A hallucination rate?

Ally Miller 47:06 (laughs) So I could-

Mel Robbins 47:07 Like taking ayahuasca or mushrooms?

Ally Miller 47:09 (laughs)

Mel Robbins 47:10 Just making things up.

Ally Miller 47:12 So, so when we talked about how these systems are trained, right?

Mel Robbins 47:16 Uh-huh.

Ally Miller 47:16 We said give it tons and tons of, like, millions of gigabytes of information.

Mel Robbins 47:20 Okay.

Ally Miller 47:21 So the first thing is that these systems were not trained to be-

Mel Robbins 47:25 Accurate.

Ally Miller 47:25 ... factual regurgitators. So the fact that it's so accurate all the time, even with these couple mistakes, the fact that it gives answers that outperform PhDs is actually pretty miraculous. The remainder of it, when it does hallucinate, we're getting, uh, to the point where models have a, about 1% hallucination rate, meaning, like, you ask it 100 questions and maybe 1% of the time it doesn't answer it on the first or one of the first 50 tries. Uh, different benchmarks, whatever, but hallucinations have dropped a lot.

Mel Robbins 48:02 Wait, so is hallucinations just a term for it's wrong?

Ally Miller 48:06 It's just, it's, it's when AI is spewing incorrect stuff that it's just like, "Uh, maybe Mel has a Lamborghini."

Mel Robbins 48:12 I like the uh.

Ally Miller 48:12 We're calling it hallucination.

Mel Robbins 48:14 Well, what I like about what you just said-

Ally Miller 48:16 Yeah.

Mel Robbins 48:16 ... 'cause now I get it, is you're doubling down on the fact that it's not, quote, "fact," it's information.

Ally Miller 48:25 And there are ways to increase the fact. So you can give it access to the internet-

Mel Robbins 48:31 Yeah.

Ally Miller 48:31 ... so that things are cited and you can check the sources. You can then check the source of the Lamborghini thing and prove that it's not true.

Mel Robbins 48:36 So it's gonna guess? So if it's asking for a car and it doesn't know, it might be like, "Well, based on what we've heard and the fact that she has this, I don't know, we're feeling Lamborghini, not pickup truck. I don't know."

Ally Miller 48:46 Whether you knew it or not-

Mel Robbins 48:48 Yes.

Ally Miller 48:48 ... you just said something that took researchers years to figure out.

Mel Robbins 48:52 What do you mean?

Ally Miller 48:54 It... We- we're just now seeing research around this space of why do we get things wrong, okay? Knowing that there are ways to improve it. We can ground it in information, we can, uh, use more state-of-the-art models, um, we can give it access to the internet, check citations, all this stuff.

Mel Robbins 49:11 Yep.

Ally Miller 49:12 Why does it still BS us? Why does it still hallucinate? You just hit the nail on the head, which is, we told these systems, "Be helpful to me."

Mel Robbins 49:23 Hmm.

Ally Miller 49:23 And these systems converted that task and said, "Oh, you want me to be helpful? You want me to always answer. Because when I say, 'I don't know,' that's not helpful to you." So because these systems were not given an off-ramp to say, "Uh," you know? They don't, they're not allowed to say, "I don't know," because you have trained them, you've rewarded them-

Mel Robbins 49:45 Mm.

Ally Miller 49:45 ... by answering you.

Mel Robbins 49:47 You know, I wanna ask you, w- as one of the world's leading experts on AI, you're speaking on stages all over the world, you're a consultant to brands that people really trust,

Mel Robbins 50:00 what are you most concerned about as this technology picks up speed?

Ally Miller 50:05 The first is the pace of change in AI.

Mel Robbins 50:09 Mm.

Ally Miller 50:09 And I think it's really important to just level set on the type of acid reflux that even people in AI are feeling. I've started in AI almost 20 years ago, and the pace of change is, is even faster than I would expect and that people in the field are expecting. Education heavily concerns me. The fact that companies have not yet leaned in and skilled up their employees, that's a really big one. The fact that parents have not leaned in to have these open conversations with their children about the risks, about mental health risks, about over reliance, about misinformation, about cheating on schoolwork. I want more real talk happening in, in homes, in schools, in work, on the subway. I want that. I think there are also very real concerns about data privacy and data use. I think there are very real concerns about the environment and how much energy or, or water usage, um, these models or full systems are, are using.

Mel Robbins 51:13 And you... And just, if you don't, if you're not tracking with that, it's because they have to be powered by something, which means these-

Ally Miller 51:21 Everything is powered by something.

Mel Robbins 51:21 ... huge cloud and server farms-

Ally Miller 51:22 Yeah.

Mel Robbins 51:22 ... are powered-

Ally Miller 51:23 Yeah.

Mel Robbins 51:23 ... by something.

Ally Miller 51:23 Creating the ice that is in this wa- everything.

Mel Robbins 51:25 It's not... It doesn't live in the air.

Ally Miller 51:27 Yeah.

Mel Robbins 51:27 It's actually-

Ally Miller 51:27 Yeah.

Mel Robbins 51:27 ... on a computer server somewhere, so-

Ally Miller 51:29 Yeah. We call it the cloud, but really that means the data center-

Mel Robbins 51:31 Yeah, in the middle of so-

Ally Miller 51:32 ... in Arizona. Yeah. (laughs)

Mel Robbins 51:33 Yes, exactly.

Ally Miller 51:34 And so these, these, these concerns are very, very real. Um, there are some stats that have been shared by these companies, and I think one is, by leaning into these systems and by being a user, you get to have a voice in these conversations and you get to be a s- you know, a, a voice and say, "I've used it, and here's what I've seen and here's what I think is stupid and here's what I think is great."

Mel Robbins 51:59 That's true.

Ally Miller 52:00 You get to be a, a loud, active contributor. And again, a concern is that there are gonna be some people listening to this podcast around the world who are going, "I'm hesitant to use this," and their voices are gonna be lost in the conversation.

Mel Robbins 52:15 I'm so glad you're saying that, because I will personally say that I do fall into the camp of believing that this is the single biggest innovation

Mel Robbins 52:26 tech human revolution that we will experience in our lifetime, that we can't even comprehend how it's gonna change life for the better, and in some ways for the worst in the next 10 years, but more for the better. And I appreciate you connecting the dots and saying, "This is here. It's accelerating," and if you don't understand how to use it in your day-to-day life, you don't have a voice in demanding more regulation or demanding that things get labeled as AI generated or, you know, if we are creating tools that car- can create things, then we should be creating tools that can also police things.

Ally Miller 53:06 Yeah.

Mel Robbins 53:06 And so I really see the connection there. And if you're worried about it, don't sit back. If you're worried about it, this is when you lean in.

Ally Miller 53:16 I am also in the camp that some of these concerns are made a little bit more dramatic than they actually are, and that demanding more transparency and documentation

Ally Miller 53:26 from these providers has been very fruitful in, in, ah, uh, shedding more light on that. Video streaming for an hour versus AI chat for an hour, you wanna guess the energy consumption, the comparison?

Mel Robbins 53:39 Zero idea. I've n- I didn't... I don't... Y- y-

Ally Miller 53:41 Yeah.

Mel Robbins 53:41 I'll be honest with you.

Ally Miller 53:42 Yeah.

Mel Robbins 53:42 I don't even think about this.

Ally Miller 53:43 Yeah.

Mel Robbins 53:43 Because I'm thinking it's coming from my job.

Ally Miller 53:45 Right.

Mel Robbins 53:45 You know, I'm not even thinking about the larger-

Ally Miller 53:47 Right.

Mel Robbins 53:47 ... implications of this.

Ally Miller 53:49 There are two things that are true at the same time. It is absolutely a concern. We should be voicing our concern for it. We should be asking for more transparency and documentation from these players, from these builders. And it is not as dramatic as people make it out to be. We can compare it to video streaming. Video streaming uses over 4X the energy of AI chat for the exact same amount of time. So, you, you know, using Netflix less and, and chatting with AI, that might actually be a trade-off that's good.

Mel Robbins 54:21 What do you wanna say to somebody, Ally, about the fear that AI is coming for my job?

Ally Miller 54:26 I think we will have job loss because of AI, we need to be very, very honest about that. Um, and I don't know at what scale, and I don't know on what timeline, but I feel strongly that I should say that out loud, to be a responsible citizen. The second is that every single job that

Ally Miller 54:46 we already have out there, marketing manager, legal, finance, will be AI supported and you'll have a switch in the types of things that you are doing. And so maybe if you are a marketing manager, let's say, and right now you are writing a lot of copy, you are constantly going back and forth and checking on stats, you might have an AI that is literally just constantly checking your metrics for you, and flagging when things are out of sorts-

Mel Robbins 55:15 Mm-hmm.

Ally Miller 55:16 ... and offering 20 potential solutions that you could pick one of, or you could say, "I know my business better than you, I'm gonna pick the 21st." So the job of each person is gonna shift, right? Even, even in legal. I know people who are using it to do contract comparisons-

Mel Robbins 55:33 Mm.

Ally Miller 55:33 ... or, or clause, like, risk analysis. Hey, and this, by the way, as a solopreneur, I do this too, where I-

Mel Robbins 55:39 Well, maybe instead of saying, "AI is coming for my job," the reframe is, "AI is a part of my job."

Ally Miller 55:45 AI will be a part of everyone's job, AI is coming for some jobs, and there will be new jobs because of AI.

Mel Robbins 55:53 Can you unpack why women are slower to adopt AI than men?

Ally Miller 55:58 I think a lot of people in AI are men, and so when you're looking at people talking about it, uh, it's gonna be largely men. And so there's gonna be a little bit more of like, "Uh, that future's not for me. That's the, you know, tech bros or whatever." So one is just that they don't see people like them. Uh, that is one reason why I spend every waking minute trying to share more information and make this world more accessible and why I've educated millions on this space. So one is, "Is this future for me?" That also means that the use cases that are shared might also not be as relevant.

Mel Robbins 56:34 Mm-hmm.

Ally Miller 56:34 Like, women more often are taking on care for others, care for their children, care for, you know, aging parents, uh, teachers. And so those stories are just told less, and so we get into this toxic flywheel of those stories not being told. We also maybe have, like... again, it's, it's anecdotal, but when I speak at conferences, I am more often asked about data privacy and environmental concerns from women. And again, I wanna give a path forward to those folks that feel that hesitancy, and there is a v- very fast way of, of finding action there. I'm gonna give this as a tip, okay? I want everyone who feels this way about AI, that you're worried about data privacy or you're worried about maybe environmental usage, you can download an open source small model and you can run it on your computer. It will never go into the cloud, it will only live on your laptop, the only electricity that is used is downloading it and the energy that your laptop needs. It's a smaller model, so it's also gonna have a smaller footprint. I am able to use AI in the

Ally Miller 57:47 skies with no internet access because of this local deployment. So that is a path. If you are still hesitant, please try out small local models. You can do it in less than five minutes.

Mel Robbins 57:59 You know, Ali, one thing that I saw a, a couple months ago was kind of the first... it wasn't really a study, you probably know more about this, it was done here in Boston at MIT, and it was the first look at cognitive decline-

Ally Miller 58:12 Mm-hmm.

Mel Robbins 58:12 ... of people using AI, and the results were alarming. Like, there was a significant decline in people's, like, brain power. That's not the scientific term. Which basically, in my layman terms, I read that and was like, "Oh my God, people are getting stupider using this, their brains are rotting." And it wasn't a clinical study, but it was looking at people overly relying on AI and the impact it has with your thinking skills and your brain power. Is there such a thing at this point that we know of where we're relying too much on AI?

Ally Miller 58:52 Over reliance is a risk of many tech systems, including AI, and that study, I think, thankfully illuminated a key point, which is, yeah, if you use these systems lazily, you're gonna get lazy. So in the same way that we, uh, still teach our children math even though they have calculators-

Mel Robbins 59:14 Mm.

Ally Miller 59:15 ... we still need to teach our children taste curation,

Ally Miller 59:19 critical thinking, creativity, writing, you know, uh, the ability to, to cast judgment on whether a, a fact is right or wrong. We still need to teach children that. That study was about people using AI to write essays, and the outcome was that people couldn't remember what they wrote in an essay. Of course you couldn't remember, just like-

Mel Robbins 59:42 You didn't write it. (laughs)

Ally Miller 59:43 You didn't write it. Exactly. And if the goal is to be able to remember what you write, then yeah, you should still do the writing. You can still use AI to interview you to get more information out, you can use AI to review it from the viewpoint of Abraham Lincoln or Mark Zuckerberg or whatever. You can have AI review it and-

Mel Robbins 1:00:02 Make it better.

Ally Miller 1:00:03 And make it better.

Mel Robbins 1:00:04 Got it.

Ally Miller 1:00:05 So using... there, there is a, a spectrum of right and wrong ways to use AI. There is a role that humans play in our world which is bringing heart and empathy into situations. There are things that I also think are gray area that some people have said, "Hey, I'm gonna do this." I've heard of people using AI to write obituaries or, or statements at a funeral.

Mel Robbins 1:00:33 If you go to a wedding, a lot of the speeches sound the same.

Ally Miller 1:00:36 Absolutely. Right, "Let's delve into their relationship, uh, the landscape of the tapestry of love," right? Th- that could be a gray area. I think, honestly, one of the biggest takeaways that I've had over the last seven years in, you know, the gen AI space is that urgency is creating toxicity.

Mel Robbins 1:00:56 Mm.

Ally Miller 1:00:57 If you are under the gun, you have to, you know, write this report, you have to write this essay, it's five minutes before the wedding, you forgot to write the speech, that is when you're going to lazily offload and abuse these systems, and not get the great writing out of it-

Mel Robbins 1:01:14 Yeah.

Ally Miller 1:01:14 ... and not speak from the heart, um, and not build a better relationship with your friend that's getting married. So I think the more that you can do to eliminate urgency, which as a procrastinator is absolute hell, is going to help you use these systems i- in the way you want to use them. Again, there are gonna be some people in that gray area that still say, "Hey, that's fine," and- and that's everyone's prerogative

Ally Miller 1:01:39 is to have that voice in this conversation. But urgency and removing it is going to help you make better work, use AI more responsibly.

Mel Robbins 1:01:47 You know, when you think about AI long term, what excites you the most? Seriously, what- what... like, how do you... Like, first I want you to talk about what excites you the most, and then I'd love you to talk to me and to the person that's listening and watching about what might be coming in the coming months.

Ally Miller 1:02:08 Two things that excite me, and they're very closely related. Number one is the accessibility of these tools is only increasing.

Mel Robbins 1:02:17 Mm.

Ally Miller 1:02:17 So two years ago, you had to be this, like, perfect prompter. Now you can, like, kind of type a couple sentences, and it gives you a really strong, strong output.

Mel Robbins 1:02:24 You can also speak to it, you're saying.

Ally Miller 1:02:26 You can also speak to it.

Mel Robbins 1:02:26 You can also film and upload photos to it.

Ally Miller 1:02:29 Yes. There are so many ways to interact with these systems.

Mel Robbins 1:02:31 Okay.

Ally Miller 1:02:32 So the accessibility, and to me, the inevitable downstream impact of more accessible systems is that people that are, that are burning inside with this amazing idea that they've never been able to accomplish, or this problem that they wish they could have solved seven years ago, or this kid that they want to, you know, bond with more, or parent that they want to help more, there is... everyone has this, like, burning thing inside. It might take a little bit to figure out what that is, but the ability to accomplish that thing, that those obstacles are dropping-

Mel Robbins 1:03:04 Mm.

Ally Miller 1:03:04 ... very quickly. We are going to have billion-dollar companies with a couple people, and we might see billion-dollar companies with one person. The ability for someone to scale their authenticity and their impact, and the types of change and help each other that they want to have is going to explode even more than we've already seen.

Mel Robbins 1:03:26 Okay.

Ally Miller 1:03:26 So I want people who feel left out to lean in even more because, again, that ability to go from idea to execution on anything is going to compress. That is what excites me. The things that we should expect to come, uh, and again, uh, I can declare my predictions. They might change all the time. Uh, experts are always sharing their predictions, and we are constantly changing it. So again, listen to a variety of voices. Anyone that declares, like, for sure that something is happening the next 40 years, whatever, they're guessing. Everyone's guessing. Okay, number one, it feels like it is very, very likely that we will have a much more multimodal world.

Mel Robbins 1:04:16 What does that mean?

Ally Miller 1:04:17 That means-

Mel Robbins 1:04:18 Modal?

Ally Miller 1:04:18 ... like, modality could be text or vision, like visual things or audio.

Ally Miller 1:04:24 So the ability to not just type in and say, "Make me an image of-"

Mel Robbins 1:04:29 Mm.

Ally Miller 1:04:29 "... Mel Robbins posing as Wonder Woman on top of a hill," but the ability to go in and out of these different, uh, inputs, not just text to image, but like image to sound, sound to movie, movie to blog post. I legitimately think that we will be able to talk to our pets in the next 10 years.

Mel Robbins 1:04:50 What?

Ally Miller 1:04:52 Because these systems... Again, the ability to translate is an emerging capability that's coming out of these really, really big models.

Mel Robbins 1:05:00 So, like, I could put a phone at my dog's face-

Ally Miller 1:05:03 (laughs)

Mel Robbins 1:05:04 ... and be like, filming him and go, "What is YOLO thinking?"

Ally Miller 1:05:10 It's-

Mel Robbins 1:05:10 Trying to tell me.

Ally Miller 1:05:11 It's a guess, but I... It feels more likely than not. And there's research happening, by the way, already in dolphins.

Mel Robbins 1:05:18 Really?

Ally Miller 1:05:18 Yeah.

Mel Robbins 1:05:19 So like when my, when Homie puts his paw on me, I'm like, "Okay, no, your ear ti-"

Ally Miller 1:05:23 Your dog's name is Homie? (laughs)

Mel Robbins 1:05:23 Yeah, like... (laughs)

Ally Miller 1:05:24 Love it. (laughs)

Mel Robbins 1:05:25 Home slice, Homie.

Ally Miller 1:05:27 (laughs) Yeah,

Ally Miller 1:05:28 it's, again, m- multi-modal, you could, you could view it as, yeah, it's easier to put in information and easier to get out information. But that also means that if you want to learn quantum computing, and you really like podcasts, or you really like video-

Mel Robbins 1:05:48 Mm.

Ally Miller 1:05:48 ... maybe instead of reading a 700-page book that is really scientific and dense, you could say, "Hey, can you make me a 25-page PowerPoint?"

Mel Robbins 1:05:59 Well, I'll tell you what I'm excited about. I'm really excited about the fact that so many people, and I know that I have absolutely felt this way in my life, feel alone, and you feel like it's all on you. And the way that you've explained what is already available right now, that is there for free to act as a extension, or a team member, or a...... thing that you can delegate a task to that then expands your time, expands your capacity, awakens you to options, helps you create a plan, saves you time. You're not actually alone anymore.

Ally Miller 1:06:46 Can, can I also just-

Mel Robbins 1:06:47 Yeah.

Ally Miller 1:06:48 100% yes, there are going to be people who just heard you get it-

Mel Robbins 1:06:55 Mm-hmm.

Ally Miller 1:06:55 ... and they're gonna go, "Well, now there's too many options."

Mel Robbins 1:06:58 Mm-hmm.

Ally Miller 1:06:59 "And how on earth am I supposed to change my whole life when all I see is a blank page?"

Mel Robbins 1:07:04 Right.

Ally Miller 1:07:04 So, I just wanna also, uh, tell the person listening, it's okay if you don't have that moment of reinvention for the first couple weeks you're using it. Like, give yourself the space to fail, to be weird with it, um, to ask new questions, to try and break it. And it's okay to delay that light bulb moment.

Mel Robbins 1:07:29 Mm-hmm.

Ally Miller 1:07:30 Um, don't punish yourself if you, if you don't have that early on. That's so normal, and I don't want that person to, to feel like they are behind in any way, because in fact, they're quite ahead if they're willing to do this.

Mel Robbins 1:07:43 Well, the fact that you've just spent all this time listening to or watching this means you're ahead.

Ally Miller 1:07:48 Oh, my God. Very much so, yes.

Mel Robbins 1:07:51 On that note, if I were to take one action... I mean, you've told us so many exciting things, specific things to do, things you're concerned about. But if I were to just take one action, what's the most important action you should take after everything that you've taught us today?

Ally Miller 1:08:10 If you have not been using AI, use it. Not because I'm telling you have to use it every single day or else, you know, the world will explode. But I'm saying, I want your voice in the conversation. And by you experimenting and seeing the strengths and weaknesses of these systems, you will be a stronger voice in the conversation, and you will be included. You will get to say, "I want these systems to serve me." And right now, we are missing some voices. So for those who are hesitant, use it. For those who have been using it, it is not Google. And you have to get out of that mindset. You have to treat it like this alien. You have to try and do some real-time interaction. You have to try and delegate a 20-minute task to it. You have to, you know, try a, a live voice conversation. You have to get the superpowers out of it, and that means gaining more clarity, using it for more forethought, using it to 10x, you know, maybe even when you're naming this podcast. Ask AI to come up with 250 options. You're still gonna be the human that curates and picks and moves things around and maybe rewrites it all. But you need to lean into the superpowers of AI, not just better browsing.

Mel Robbins 1:09:24 One thing I'd love to have you end on is you have said repeatedly you're excited because you can use AI to help you become the person you've always wanted to be. Can you speak directly to the person listening and tell them what that means?

Ally Miller 1:09:42 I'm gonna give you an example from my own life. I moved to New York three years ago. I had just come off of a three-year road trip. I lost everything that I owned when my apartment flooded with sewage. So I'm moving to a new city that I've never lived in, into an apartment with zero furniture, zero spoons, zero lamps. I am sitting on the floor, my butt hurts because the floor is so hard, and I burst into tears while eating, like, Auntie Anne's Pretzels. And I'm talking to my therapist the next day, and I'm saying, "I can't do this. I'm depressed, uh, even getting out of bed." I'm, I'm literally eating dinner by myself sitting on the side of my bathtub, 'cause that's the only thing that's elevated. She goes, "Wait a second, Ally, did you just say that you have an empty apartment?" I was like, "Yeah." She goes, "So you have a dance floor in New York? How many people have a dance floor in New York?" I was like, "Say that again?" (laughs) And she completely flipped how I thought about this problem.

Mel Robbins 1:10:48 Mm-hmm.

Ally Miller 1:10:49 And suddenly, I literally hosted a dance party in my apartment. I had friends come over, we had a YouTube video, we did Zumba stuff, acting like an idiot, right? In a dark, empty apartment. I also organized a New Year's planning session where we covered the entire floor with Post-its, 'cause I could. That gave me an idea to go to these systems and to say, "Here is a transformation that I've had in my life because of this woman, 'cause of one sentence that she asked me. I need to do this on repeat. I need, every single time I come to you with a problem, you're gonna give me the reframe. You're gonna give me another reframe. You're gonna give me a motivational sentence that tells me I can absolutely accomplish this. You're gonna give me action items so that I can get it done." And so I built

Ally Miller 1:11:37 a r- again, zero code, took two minutes. I built a repeatable way to go to these systems with a problem and to see it through a new light.

Mel Robbins 1:11:45 Hmm.

Ally Miller 1:11:46 It completely rewired my brain. I used to go to this thing multiple times a day. I haven't had to go to it in the last couple months, because that's just how my brain processes bad things now. So if I am very stressed about meeting with an executive or whatever, I go to this system, maybe, and I say, "I'm really stressed about this meeting." And they go, "You're probably stressed because you know that it's important. You have a successful career because you've been given this important meeting. Good for you for being successful. Own that success and know that with success comes stressful moments. And you got to where you are because you dealt with less stressful moments, but that bar is gonna keep increasing. Good for you for already surviving everything you've gotten." That is the type of transformation-

Mel Robbins 1:12:36 Hmm.

Ally Miller 1:12:36 ... that I am working with these systems on, and again, has completely rewired my brain. I now look at stressful situations as anxiety, as an opportunity for reinvention.

Mel Robbins 1:12:50 Amazing. I just wanna thank you. I wanna thank you for making the time to learn about this exciting tool. I mean, I realize there is so much I have to learn. So I'm so proud of you for listening to this, and I'm proud of you for watching this on YouTube. And thank you for sharing this with people in your life. We all need to lean in and learn how to use this tool that's right there that could make our lives better. And one more thing, in case no one else tells you today, I wanted to be sure to tell you as your friend that I love you and I believe in you, and I believe in your ability to create a better life. And I'll tell you something, after the conversation today, I am 1,000% convinced that you can use AI as a tool to create a better life. And I hope you feel empowered to start doing so. All righty, I will see you in the very next episode. I'll be there to welcome you in the moment you hit play. Thank you for watching all the way to the end. I am so fired up that you are here. I'm so fired up that you are sharing this with people. And I'll tell you one more thing that would make me very fired up, hit subscribe. You know, my team just showed me this, 57% of you who watch this are not subscribed. What's up with that? Just like AI, it's free, and it's a way that you can show us the same support that we're showing you. It's also a way to make sure that you don't miss a thing here on the Mel Robbins podcast. How do you know if you're subscribed? Well, if you're not, the button's lit up. So go ahead and hit that. Thank you, thank you, thank you. Thank you for sharing this episode. Thank you for your interest in creating a better life for yourself. I love that for you, and I also think you're gonna love this video. This is the one I think you should watch next, and I'll be there to welcome you in the moment you hit play.