PivotSam Altman announces GPT Store at OpenAI DevDay
CHAPTERS
- 0:00 – 0:28
OpenAI DevDay recap: custom GPTs, GPT Store, and GPT-4 Turbo
Kara Swisher frames the moment as nearly a year after ChatGPT’s public launch and introduces OpenAI’s first developer conference. She highlights the headline releases—custom GPTs, a forthcoming GPT Store/app-store model, and a new “turbo” version of GPT-4—before teeing up Sam Altman’s keynote.
- •ChatGPT’s release sparked an “AI gold rush”
- •OpenAI holds its inaugural developer conference (DevDay)
- •Key announcements: custom GPTs, GPT Store, GPT-4 Turbo
- •Altman’s keynote presented OpenAI’s forward-looking vision
- 0:28 – 0:47
Sam Altman’s vision: the GPT Store as an empowerment platform
Altman announces the GPT Store, where creators can list GPTs and OpenAI can feature top and popular creations. He positions AI as a tool for individual agency and broad societal uplift, inviting developers to co-create the future.
- •Launch of the GPT Store with listing and featuring mechanics
- •Curation via “best” and “most popular” GPTs
- •AI framed as individual empowerment and agency at scale
- •Aspirational vision of building a shared future with developers
- 0:47 – 1:09
Kara’s take: “App Store on steroids” and OpenAI as a platform company
Kara dismisses the lofty rhetoric and cuts to the business implication: OpenAI is becoming a platform, analogous to Apple’s App Store moment. She notes social comparisons of Altman to Steve Jobs and asks Scott whether he sees the same shift.
- •GPT Store interpreted as an App Store-like platform play
- •OpenAI moving from product to platform positioning
- •Public comparisons of Altman to Steve Jobs
- •Competitive implications of platform control and distribution
- 1:09 – 1:16
Scott’s reaction: the App Store is enormous—and OpenAI just leapfrogged builders
Scott agrees and emphasizes the App Store’s value, noting how OpenAI’s new capabilities compress development timelines for teams trying to build AI products. He connects this to why software keeps absorbing a larger share of global GDP.
- •App Store model is among the world’s most valuable businesses
- •OpenAI’s platform can erase months of bespoke development
- •Rapid commoditization of “AI app” building blocks
- •Tech’s compounding influence on GDP and productivity
- 1:16 – 1:46
What changed in the product: more data, customization, fresher knowledge, lower costs
Scott lists the specific upgrades that impressed him: uploading large datasets for analysis, more tailored/custom assistants, updated recency (through April), and significant cost reductions. He contrasts tech’s habit of improving products while lowering prices with traditional businesses’ inclination to raise prices.
- •Ability to upload/analyze large amounts of data
- •Custom GPTs make outputs more relevant to users/contexts
- •Model/news recency updated to around April
- •Dramatically lower costs paired with better capability
- •Tech leverage often comes from price cuts + performance gains
- 1:46 – 3:39
Copyright “umbrella protection” and a real-world example: AI as a board member
Scott highlights OpenAI’s offer to cover certain legal costs tied to copyright claims, calling it a fear-reducing move for enterprises. He also shares an anecdote where a CEO used ChatGPT with a board deck to simulate an aggressive growth board member, producing surprisingly insightful questions.
- •OpenAI’s copyright liability shield reduces enterprise adoption friction
- •Indemnification as a strategic trust-building lever
- •Board-deck example: AI-generated questions were “chilling” and useful
- •AI increasingly used as a decision-support participant in meetings
- 3:39 – 4:09
Kara: platform power move, Nadella cameo, and the “magic” messaging
Kara doubles down on the platform strategy, describing it as a consumer-style business model akin to the Steve Jobs playbook. She points to Microsoft’s $13B investment and Satya Nadella’s surprise appearance praising OpenAI, noting the Apple-esque “magical” framing.
- •GPT Store framed as a consumer platform business model
- •Potential competitive tension with Apple/Microsoft ecosystems
- •Microsoft’s $13B investment contextualizes the partnership
- •Nadella’s DevDay appearance and “magical” product praise
- •Brand/PR parallels to Apple-style keynote theater
- 4:09 – 5:07
Monopoly lessons from Apple: dominance risks and “quaint” compared to what’s next
Kara notes that many companies now offer IP/copyright protections and flags the coming scrutiny around platform dominance. She cites Altman’s claim that today’s launches will look “quaint” later, and warns OpenAI will need to avoid the App Store’s monopoly pitfalls.
- •Copyright protection is becoming standard among major vendors
- •Altman signals rapid iteration: current products will seem “quaint”
- •Platform dominance will attract regulatory/antitrust attention
- •OpenAI can learn from where Apple’s App Store model drew criticism
- 5:07 – 6:38
Scott’s hope: Altman as the anti-Musk CEO archetype
Scott pivots to leadership culture, arguing tech needs visionary CEOs who aren’t cruel or erratic. He contrasts the cultural legacy of idolizing harsh leaders (often attributed to misreadings of Jobs) with Musk’s more extreme behavior, and hopes Altman can model a different path.
- •Desire for a visionary leader who isn’t an “asshole” archetype
- •Jobs vs. Musk: different public personas, different cultural impacts
- •Tech culture in the ’90s normalized harshness as “genius”
- •Altman positioned as a foil who can pair innovation with civic-mindedness
- 6:38 – 6:55
Kara and Scott on Jobs vs. Musk: similarity claims and image-making
Kara pushes back on equating Musk with Jobs, arguing Musk is trying to mimic the aesthetic and mythology but isn’t comparable in substance. Scott agrees, referencing the branding cues (like book-cover imagery) that encourage the comparison.
- •Kara rejects the idea that Musk is “like Steve Jobs”
- •Musk seen as attempting to borrow Jobs-like iconography
- •Agreement that the comparison is largely superficial
- •Discussion of how media narratives shape CEO archetypes
- 6:55 – 8:02
Pushback and regulation: startups fear “ring-fencing” by incumbents
Kara argues that other VCs and startups worry regulation and dominance moves could entrench OpenAI and big-tech backers, limiting competition. She flags the tension between open-source approaches and establishment platforms, noting Altman’s strong rapport with regulators may amplify these concerns.
- •Concerns that regulation could preserve incumbent advantage
- •“Ring-fencing” as a strategy to block smaller competitors
- •Open-source vs. closed/platform model conflict
- •Altman’s regulator relationships as a strategic advantage—and a risk
- 8:02 – 8:55
What creators will build: from fandom GPTs to “super Google” and content-native advantages
Asked what AI apps she wants, Kara says it’s hard to predict—like early app-store eras, creativity will surprise everyone. She imagines niche assistants (e.g., entertainment fandom) and argues content-rich brands and creators may have an edge, noting examples like “Professor GAI” and Martha Stewart’s “MarthAI.”
- •App-store dynamics make breakthroughs hard to forecast in advance
- •Potential for niche, interest-based GPTs (media/fandom, hobbies)
- •AI as “super search” / “super Google” framing
- •Content libraries and brands could be advantaged in custom GPTs
- •Expectation of huge volume: “a billion” different GPTs
- 8:55 – 10:43
Scott’s wishlist: public-benefit GPTs in healthcare and youth mental health
Scott proposes high-impact applications that demonstrate real concern for the common good: preventive healthcare guidance and improved navigation of a confusing system, especially for the underinsured. He also suggests relationship and mental-health support for young people, integrated with professionals and offline resources.
- •Preventive healthcare as a prime AI-assistant use case
- •Partnerships with NIH, medical associations, journals, and doctors
- •Reducing intimidation and friction for underserved patients
- •Mental health/relationships support, especially for young men
- •Combine AI guidance with mentoring, job training, and offline help
- 10:43 – 11:11
Closing: creativity explosion vs. platform consolidation risks
Kara agrees there will be a surge of new applications, but warns OpenAI may face backlash if it becomes the “Apple Store” of AI—too controlling or dominant. She ends by hoping competition remains broad so the market doesn’t consolidate into a few powerful organizations.
- •Expectation of a “wellspring of creativity” from GPT builders
- •Potential backlash against centralized platform control
- •Competition from big players is real, but broader competition is essential
- •Risk of the ecosystem coalescing into a few dominant organizations
