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CHAPTERS
- 0:00 – 3:35
Why Shaan Is Sharing Specific AI Ideas
Shaan Puri explains why he's giving 10 concrete AI business ideas, citing his idea-lab background and roughly $2 million invested in AI companies. He recalls the 2020 GPT-3 episode and previews a list ranging from simple to moonshot.
- •Frustration with vague AI hype and doom talk
- •Puri's background as an idea-lab founder and AI investor
- •The 2020 episode asking whether GPT-3 was the next big thing
- •Preview of ideas from easy to moonshot
- 3:35 – 6:02
Missing Platform Shifts and Why Ideas Are Just Sparks
Puri says he missed the mobile opportunity even though it was in front of him, and describes how new technology unlocks new businesses. He adds a disclaimer that the specific ideas matter less than sparking the listener's own thinking.
- •Warren Buffett quote on opportunity raining down
- •Mobile unlocked Uber, Instagram, WhatsApp and MyFitnessPal
- •Technology unlocks opportunity
- •Naval's idea that books spark ideas, not just information
- 6:02 – 10:40
#10: AI Sales Agent to Eliminate the Wait
Using his company Shepherd as an example, Puri describes how booking a call days later kills conversion. He argues an AI phone or voice sales agent that responds instantly would convert better, and demos a company called Sameday.
- •Shepherd finds overseas hires at about 80% lower cost
- •Waiting days for a booked call loses leads
- •Sameday AI phone agent demo
- •Fewer funnel steps means higher conversion
- •Many small businesses don't answer the phone
- 10:40 – 13:07
#9: Therapy for Everyone with an AI Therapist
Puri proposes an AI therapist in everyone's pocket that cuts cost and adds privacy. He compares it to how Hims and Ro grew by increasing access, and suggests it might be framed as life coaching.
- •Cost and privacy are the main barriers to therapy
- •Hims and Ro as models for increasing access
- •Train on huge amounts of therapy conversations
- •Aim for $5-10 a month instead of $100-200 per hour
- •May need to be framed as life coaching rather than medical
- 13:07 – 16:03
#8: Warehouse Robots and the Export Framework
Drawing on his own warehouse experience and Amazon's Kiva investment, Puri introduces his export framework: productize what big companies built in-house. He uses LaunchDarkly as an example and notes only 2% of warehouses use robotics.
- •Puri's unpleasant experience running a warehouse
- •Amazon's Kiva Systems robots
- •Export framework: turn big companies' internal tools into products
- •LaunchDarkly came from Facebook's feature flags
- •Only 2% of warehouses use robotics, the one-stat business plan
- 16:03 – 19:13
#7: McKinsey for AI – Conferences, Content, Consulting
Puri says AI adoption will spread unevenly, creating room for AI-specific consulting. He suggests starting with one customer type, and building conferences and content around 'AI for X' niches.
- •Technology spreads unevenly through businesses
- •Pick one customer type and find AI-market fit
- •Big consultancies may acquire AI practices
- •The three Cs: conferences, content, consulting
- •'AI for healthcare' style conferences rather than one generic AI conference
- 19:13 – 22:34
#6: Licensable Celebrity Deepfakes
Puri describes a 'Cameo' for deepfakes where celebrities license their face and voice to brands. He argues it's a rights and biz-dev problem rather than a tech problem, with the moat in owning the rights.
- •Celebrities earn from name, face and voice but shoots are burdensome
- •Deepfake tech is already good
- •Go all in on biz dev with agencies like CAA and WME
- •The moat is rights ownership, a land grab
- •Brands could use an API to license a likeness, with celebrity approval
- 22:34 – 24:52
#5: Deepfake Monitoring and Takedown Service
Puri presents the 'anti-Cameo': a detection, monitoring and takedown service for celebrities targeted by fake ads and images. He cites MrBeast and Taylor Swift examples and a blockchain-based signing company.
- •Fake MrBeast iPhone giveaway video
- •AI images of Taylor Swift in compromising situations
- •Monitoring service to scour the web for misuse
- •Blockchain private keys to sign authentic media
- •Unsigned media may become seen as untrustworthy
- 24:52 – 26:41
#4: AI Tutors for Everyone
Puri imagines patient AI tutors that explain problems, quiz students, draw diagrams and track mastery. He compares them to Sal Khan and Khan Academy, with different tutor styles to choose from.
- •Photo of a problem, explanations at your pace
- •Quizzing to check understanding
- •Custom curriculum based on mastery
- •Shortcuts can become explanations for those who want to learn
- •Sal Khan-like tutors for everyone
- 26:41 – 28:08
#3: Call Center Accent Changes
Puri describes AI accent removal for offshore customer service agents, so a rep in India can sound like a Californian in real time. He argues companies would pay a premium for better customer satisfaction scores.
- •Offshore support is cheaper but customers get frustrated
- •AI adjusts voices on the fly
- •Companies might pay 5-10% extra
- •Higher NPS and fewer complaints
- •Applies voice imitation to a big industry
- 28:08 – 31:43
#2: AI Porn, the Fantasy Factory
Puri argues AI porn will win through infinite personalization, more ethical supply and far lower costs. He notes porn has been an early adopter of new technologies and points to MindGeek's dominance as the market to target.
- •Porn historically adopts new tech early
- •Infinite personalization like Netflix's infinite shelf
- •No humans harmed in production
- •Lower cogs with no copyright or revenue-sharing issues
- •MindGeek owns the major porn sites
- 31:43 – 35:46
#1: The Four Tech Waves and Rise of Digital Intelligence
After a sponsor break, Puri introduces his top idea by laying out four waves in his lifetime: information, communication, value and now intelligence. He asks who will be the Google or Facebook of the AI wave and notes self-driving cars as one candidate.
- •Information wave produced Google and Amazon
- •Communication wave produced social networks and Uber
- •Value wave was crypto, Bitcoin and Ethereum
- •Intelligence wave is next, with Nvidia and OpenAI so far
- •Self-driving cars as a related opportunity
- 35:46 – 43:00
The Self-Doing To-Do List and AI Agents
Puri explains the self-doing to-do list: you state a goal and AI generates and executes the steps. He gives e-commerce inventory and weight-loss examples, and acknowledges the paperclip safety worry while staying focused on ideas.
- •Agents take goals instead of prompts
- •Inventory example: sales, purchase orders to factory
- •Weight-loss example ending with Instacart orders
- •Looking 20 years ahead, as with internet changes since childhood
- •Paperclip thought experiment as the scary side
- •Invites listeners to send ideas
