OpenAI DevDay | Sam Altman, Alexander Embiricos, Andrew Ambrosino, Peter Steinberger, Tibo Sottiaux, Kath Korevec, Casey Neistat
OpenAI DevDay | Sam Altman, Alexander Embiricos, Andrew Ambrosino, Peter Steinberger, Tibo Sottiaux, Kath Korevec, Casey Neistat
Podcast2 hr 5 min
Listen to Episode
Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights
  • Consider AMD (AMD) as a long-term, higher-risk AI investment: its $8.2 billion World Labs acquisition expands its ambitions in physical AI and robotics, but commercial adoption remains unproven.
  • For AI exposure, focus on diversified opportunities in chips, compute infrastructure, and enterprise automation; OpenAI’s planned chip rollout begins in the first half of 2027, but no specific suppliers or investment recommendations were identified.
  • Treat a potential Oura IPO as a watchlist opportunity, not an actionable trade until pricing and valuation are disclosed; its delayed offering may reflect a valuation gap rather than weak market demand.
  • Don’t base an Apple (AAPL) trade on speculation that it may buy Oura or launch a smart ring; no confirmed plans were cited.
Detailed Analysis

AMD (AMD)

  • AMD agreed to acquire AI research company World Labs in an all-stock deal valued at about $8.2 billion.
  • The deal is intended to add AI research talent and strengthen AMD’s hardware, software, and systems capabilities, especially in physical AI and robotics.
  • The discussion framed the acquisition as a future-facing bet. Potential uses for world models include generating training environments for robots and creating interactive worlds or games, but the hosts noted that the technology has not yet had a broad adoption breakthrough.
  • AMD was described as having recently reached a $1 trillion valuation.

Takeaways

  • The acquisition adds to AMD’s ambition to compete across more of the AI stack, including emerging robotics applications.
  • The opportunity is speculative: the discussion highlighted possible applications but also acknowledged that commercial adoption of world models remains unproven. No price target or buy/sell recommendation was given.

Oura (Private; proposed IPO)

  • Oura reportedly delayed its IPO despite orders for about 4.4 times the shares available. The company had reportedly considered raising as much as $2.2 billion; the offering included 13.5 million Oura shares and 36.5 million shares from existing investors.
  • The hosts questioned whether market uncertainty was the real reason for the delay. They noted that the S&P 500 was up 12% year to date and the Nasdaq had recently hit an all-time high, while the 10-year Treasury yield had reached its highest level since 2007.
  • One possible explanation discussed was a gap between what investors would pay and the company’s preferred valuation. Because the IPO was described as primarily a secondary sale rather than a needed cash raise, Oura could postpone it and continue building.
  • Oura was characterized as having a strong product and relatively limited competition in smart rings. Potential competition from Apple and other device makers was raised, but no specific plans or rumors were confirmed.
  • The hosts also noted that a ring with a microphone could raise consumer concerns about additional data collection.

Takeaways

  • The delay alone does not establish that public markets are closed to new offerings; the discussion suggested that pricing expectations may matter as much as general market conditions.
  • For any future IPO, watch how Oura prices the offering and how investors assess competition and consumer demand. No IPO date, valuation, or investment recommendation was stated.

Amex Global Business Travel (acquisition)

  • The hosts said Long Lake completed its acquisition of Amex Global Business Travel for $6.3 billion.
  • They said the combined company would have up to 30,000 employees and described it as growing headcount rather than conducting layoffs.
  • This was offered as an example of how applying AI effectively may support company growth rather than simply reduce staffing.

Takeaways

  • The transaction is a data point on private-equity interest in business travel, but the transcript gave no valuation detail beyond the deal price and no specific public-market recommendation.
  • The employment example is anecdotal; it does not establish that AI adoption will increase headcount at other companies.

AI Agents, Compute, and Enterprise Software (investment theme)

  • OpenAI said ChatGPT was being used by more than 1.2 billion people each week, and more than 35 million people were building with ChatGPT work in Codex each week.
  • The episode focused on personal AI agents that can work proactively, use computer tools, and assist with tasks across work and personal life. Speakers highlighted possible uses for developers, small businesses, and enterprise teams.
  • Sam Altman said OpenAI plans to build substantially more compute and that its chip program is expected to begin coming online in the first half of 2027, with further scaling in later years.
  • The discussion emphasized growing demand across consumer, developer, and enterprise use, alongside a need for more efficient models, chips, and infrastructure.
  • The speakers also described uncertainty around how quickly agents will become useful to everyday users, and raised safety, oversight, and reliability as ongoing challenges. A brief outage during Dev Day demos was also mentioned.

Takeaways

  • The discussion points to potential investment themes in AI infrastructure, chips, agent software, and tools that help businesses automate workflows. It did not identify specific suppliers or offer a direct investment recommendation.
  • Adoption and monetization remain important uncertainties: strong usage figures do not by themselves establish durable revenue or profitability.
  • Compute availability and the need for safe, reliable agents are material execution challenges highlighted in the conversation.

Apple (AAPL)

  • Apple was mentioned as a possible buyer or competitor for Oura, with the hosts saying a ring could fit naturally within Apple’s ecosystem.
  • They also noted that this was speculation: no acquisition plan or specific Apple product announcement was cited.

Takeaways

  • The discussion offers no confirmed Apple catalyst or concrete investment thesis. Treat the Oura comments as speculation, not evidence of an impending deal or product launch.
Ask about this postAnswers are grounded in this post's content.
Episode Description
(09:00) - Sam Altman discusses how increasingly capable AI agents can simplify work and daily life while fostering an open ecosystem for developers. He also addresses OpenAI’s startup culture, expanding computing infrastructure, simplified model selection, rapid experimentation, and the unresolved scientific challenge of aligning superintelligent AI. (25:17) - Alexander Embiricos, an OpenAI product leader, discusses “dots,” proactive AI agents designed to act as personal delegates across workplace tools. He explains how personal and specialist dots can autonomously handle tasks, support individuals and enterprises, and make advanced AI more accessible through flexible interfaces and integrations. (41:54) - Andrew Ambrosino discusses leading OpenAI’s Codex desktop and Space teams and unifying Codex’s agentic capabilities with ChatGPT. He highlights cloud and local-machine integration, collaborative AI workspaces, dynamic interfaces, faster models, and OpenAI’s iterative, feedback-driven product development. (54:27) - Peter Steinberger discusses founding OpenClaw and pioneering personal AI agents that can proactively operate computers, use tools, and coordinate complex tasks. He explores agent-driven software development, changing online services, and a future where AI reshapes operating systems, commerce, and human workflows. (01:16:22) - Tibo Sottiaux discusses his work leading AI agent development at OpenAI, including Dots, Codex, and advances in computer use. He explains how persistent agents can learn users’ preferences, securely perform specialized organizational tasks, share long-term memory, and automatically balance speed, cost, and reasoning effort. (01:33:41) - Kath Korevec discusses her work as an OpenAI product manager for ChatGPT Sites, which reached 10 million sites within three months of launch. She highlights personal and professional uses, collaborative features within Spaces, new integrations and plugins, and plans to expand access to free users. (01:41:50) - Casey Neistat discusses his perspective as a filmmaker, YouTube pioneer, and ModRetro executive on retro technology, AI-assisted creativity, and the value of simple, purpose-built devices. He argues that AI will democratize game and video creation while human taste, expertise, and curation remain essential amid a growing flood of content. TBPN is made possible by: Ramp - https://ramp.com Public - https://public.com Cisco - https://www.cisco.com Console - https://www.console.com CrowdStrike - https://www.crowdstrike.com Figma - https://www.figma.com MongoDB - https://www.mongodb.com NYSE - https://www.nyse.com Railway - https://railway.com Shopify - https://www.shopify.com Codex - http://openAI.com/codex Follow TBPN:  https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/tbpn/id1772360235 https://www.youtube.com/@TBPNLive
About TBPN
TBPN

TBPN

By John Coogan & Jordi Hays

Technology's daily show (formerly the Technology Brothers Podcast). Streaming live on X and YouTube from 11 - 2 PM PST Monday - Friday. Available on X, Apple, Spotify, and YouTube.