The Curiosity Shop with Brené Brown and Adam GrantAI, Commencement Speeches, and Why Human Thinking Still Matters | The Curiosity Shop
CHAPTERS
- 0:00 – 2:53
Why this episode ties AI to commencement speeches and human thinking
Adam and Brené set the agenda: what makes a great commencement speech, why some AI-themed speeches got booed, and how AI is changing collaboration and trust at work. They preview a throughline that returns repeatedly: great communication is a gift—and it requires real thinking, not just polished output.
- •The episode’s focus: commencement speeches, booing, and AI’s role in communication
- •A promise to examine moral imagination amid technological change
- •A practical workplace problem: receiving thoughtless, possibly AI-generated content
- •A looming ethics question: should collaborators disclose AI use?
- •A hopeful end goal: what great content does for people
- 2:53 – 6:51
The George Saunders model: kindness, regret, and moral clarity through story
Brené reads and reacts to George Saunders’ 2013 Syracuse speech, focusing on the haunting idea of regretting “failures of kindness.” They unpack why the message lands so powerfully: it’s timeless, but delivered via an emotionally precise story rather than generic advice.
- •Saunders’ story about a bullied classmate as a vehicle for moral insight
- •Regret framed not as cruelty, but as failing to act with courage and kindness
- •The devastating line: responding “sensibly, reservedly, mildly” to suffering
- •Why story makes core values feel fresh instead of cliché
- •Kindness as a lifelong metric of integrity and bravery
- 6:51 – 8:07
The five most common commencement themes—and why clichés still matter
Adam cites a content analysis of commencement speeches that identifies recurring themes (help others, do the right thing, be true to yourself, expand horizons, never give up). They debate why these themes can feel trite—and how great speakers resurrect them with novel angles and concrete stories.
- •Top themes: help others; do the right thing; expand horizons; be true to yourself; never give up
- •Homogeneity vs. the need for enduring reminders of core values
- •Fresh framing beats generic exhortation
- •Saunders as an example of reinventing a cliché through narrative
- •Values become memorable when tied to emotion and specificity
- 8:07 – 11:18
Brené’s own commencement lesson: the world won’t ready itself for you
Brené shares her UT Austin commencement experience (including delivering one virtually during COVID) and the story behind her central message. She recounts her nonlinear academic path—detours, setbacks, and persistence—showing how personal struggle can translate into a universal lesson.
- •Writing for a virtual commencement during the pandemic
- •Theme: you must be ready for the world; the world won’t be ready for you
- •Brené’s winding journey: junior colleges, low GPA, work, returning to school
- •Perseverance and resilience framed through lived experience
- •How a specific story can carry universal “commencement commandments”
- 11:18 – 14:11
Commencement speeches they love: Make Your Bed, Conan, Ellen, Carell, and Wolfpack
Adam and Brené trade favorites and highlight what makes them work—humor, self-deprecation, and a clear moral center. Brené adds Abby Wambach’s Barnard speech and “Wolfpack” leadership lessons that reward generosity, teamwork, and leading from any position.
- •Admiral McRaven’s “Make Your Bed” as a disciplined, story-driven classic
- •Conan O’Brien’s humor and self-deprecation as a persuasive delivery vehicle
- •Ellen DeGeneres’ twist on “follow your passion” as a critique of clichés
- •Steve Carell on kindness—and a jab at using ChatGPT for personal emails
- •Abby Wambach’s Wolfpack lessons: point-and-run, run-to-hug, lead from the bench
- 14:11 – 21:20
The booing controversy: etiquette, empathy, and why AI speeches missed the moment
They address the high-profile booing of commencement speakers, with Brené’s strong anti-booing stance rooted in manners and sportsmanship. Yet she sympathizes more with students, arguing AI-centric speeches lacked moral imagination and failed to address the broader “shit show” graduates feel they’ve inherited.
- •Brené’s “boo-tiquette”: booing as disrespectful, especially toward young people
- •Adam’s empathy for speakers: bombing on stage is brutal even for public figures
- •Why students booed: not just AI, but frustration with economic and social realities
- •Commencement as a life/moral moment—not “digital transformation readiness”
- •A good talk as a selfless gift oriented to the audience’s needs
- 21:20 – 27:19
Coaching tech leaders: moral imagination, zooming out, and zooming back in with story
Adam asks how a tech founder should craft a commencement speech that acknowledges AI without preaching prompts. Brené’s prescription: begin with emotionally difficult personal stories, extract human leadership lessons, and pair big-picture context (“zoom out”) with vivid specifics (“zoom in”).
- •Start with the speaker’s story and the emotionally hardest parts
- •Translate technical expertise into human lessons about leadership and meaning
- •Grounded theory as an example of making domain insights broadly applicable
- •Acknowledge AI, then pivot to “what it means to be human” across history
- •Great communication blends macro context with memorable micro details
- 27:19 – 28:50
Storytelling craft and “mission-critical communication”: clarity, resonance, and Chekhov’s gun
They broaden from commencement to everyday communication (texts, emails, training videos), arguing emotional resonance and clarity are non-negotiable. Brené introduces Chekhov’s gun as a discipline of relevance—don’t introduce elements you won’t use—tying narrative craft to trust and being seen.
- •Communication as mission-critical: even texts/emails require clarity and care
- •Emotional resonance as a core ingredient of effective messaging
- •Chekhov’s gun: avoid extraneous details that don’t pay off
- •People need to be seen and heard; communication is a primary pathway
- •Ancient roots of story, metaphor, analogy—especially vital in an AI era
- 28:50 – 33:15
Should Brené write a storytelling book? Symphonic thinking as a human advantage
Adam pushes Brené to write a book specifically on storytelling, arguing it’s foundational to identity and meaning and even more important as AI proliferates. Brené hesitates, crediting her background and pointing to “symphonic thinking” (story, metaphor, analogy) as the deeper skill she admires.
- •Adam’s case: storytelling is central to how people live, relate, and lead
- •Brené’s reluctance and the difference between studying vs. synthesizing
- •“Symphonic thinking” as a powerful integrative human skill
- •Storytelling positioned as a differentiator in the age of AI
- •The open invitation: a potential future project
- 33:15 – 39:29
The ‘AI work slop’ problem: why it enrages recipients and shifts cognitive burden
After ads, Brené introduces a workplace dilemma: receiving ‘work slop’—polished-looking output that doesn’t meaningfully move work forward. They use BetterUp’s definition and explore why it’s so costly: it transfers cognitive labor (evaluation, emotional regulation, correction) from creator to receiver.
- •Definition: work that ‘masquerades as good work’ without advancing the task
- •Insidious effect: effort transfer from creator to receiver
- •The hidden costs: emotional reaction, regulation, and constructive feedback
- •Brené’s desired sequence: big reaction → regulation → productive response
- •Early tension: credit-taking vs. usefulness as the primary evaluation metric
- 39:29 – 41:51
‘Smitten with what’s written’: when fluent AI output hides weak thinking
Brené argues AI seduces weaker writers: they’re ‘smitten’ by polished prose and mistake it for substance. She cites an Atlantic article (Eve Fairbanks) claiming AI’s frictionless writing undercuts trust and—crucially—outsources the hardest part of writing: thinking.
- •Many people equate good writing with good ideas; AI amplifies this confusion
- •The ‘smitten’ effect: polish becomes a proxy for quality and competence
- •Fairbanks: AI’s efficiency is what makes it feel untrustworthy to readers
- •Key claim: using AI to flesh out ideas can remove the thinking process
- •Editing AI text can feel futile—everything is ‘compromised’
- 41:51 – 50:48
Writing as thinking: why hard drafting prevents bad decisions and bad messages
They crystallize the deeper issue: writing is not only communication but cognition. Drafting forces reasoning into the open, reveals gaps, and sometimes signals that a message shouldn’t be sent at all—work AI can short-circuit if it provides prematurely finished text.
- •Writing helps identify flaws in logic and holes in reasoning
- •The painful drafting process is often the mind signaling “rethink this”
- •Six-word memoir idea: “I write so I know what I think”
- •A classic formulation: knowing what you think by seeing what you write
- •Outsourcing writing risks outsourcing discernment
- 50:48 – 1:01:41
How to give feedback on work slop: expectations, norms, and ‘Paint Done’
They role-play solutions: start by naming the gap between capability and output, ask about process, and avoid shaming labels. The more scalable fix is upstream: clarify expectations and create team norms (‘Paint Done’) for what acceptable AI-assisted work looks like, so slop gets prevented rather than policed.
- •Lead with capability and standards: “I didn’t see your usual discernment—why?”
- •Ask for process explanation before assuming intent or tool misuse
- •Create shorthand responses: “Not ready for my review yet” / “Please try again”
- •Prevention via clarity: much feedback disappears with better upfront expectations
- •‘Paint Done’ applied to AI: define quality, purpose, tone, and review steps
- 1:01:41 – 1:18:26
Adam’s AI integrity dilemma: disclosure, trust, and ‘enhanced games’ thinking
Adam argues AI-generated sentences feel like an integrity breach unless transparently disclosed, and he worries about collaborators letting AI ‘do their thinking.’ Brené counters by reframing the issue as pilot vs. passenger behavior and proposes an explicit ‘lines and norms’ conversation at the start of collaborations.
- •Adam’s stance: AI-generated sentences/paragraphs require disclosure; otherwise trust erodes
- •Brené’s stance: quality and discernment matter more than authorship purity
- •A practical fix: mutual boundaries—how each person uses/doesn’t use AI
- •BetterUp’s pilots vs. passengers: mindset and agency matter more than technical skill
- •Adam’s analogy: AI-generated content as “performance-enhancing drugs” requiring separate classes
- 1:18:26 – 1:22:19
What it means to be human in the AI era: moral imagination, art, and feeling ‘hollowed out’
They converge on a moral imagination frame: humans want art, writing, and ideas rooted in lived experience, not synthetic pastiche. Brené shares a personal warning sign—intense AI use made her feel ‘hollowed out,’ which an AI scholar later connected to AI as an extractive industry (energy, minerals, labor, data).
- •A morally imaginative AI message centers humanity, meaning, and responsibility
- •Preference for human-created movies, songs, lyrics—work born of real emotion
- •Brené’s experience: heavy AI use produced a sobriety-like “hollowed out” feeling
- •Kate Crawford’s lens: AI as an extractive industry (resources, labor, data)
- •They close by committing to continued exploration of AI as a moral issue
