Vinton Cerf will step down from his role as Google’s chief internet evangelist next week, marking the conclusion of one of the most influential careers in technology history.

While speaking via video feed at the Open Frontier conference hosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture.

“Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room.

Google did not respond to a request for comment by publication time.

Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, and a Turing Award, among other honors.

Since 2005, Cerf has served as vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.)

Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products.

Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back toward standardized protocols.

“The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said.

If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars.

While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required.

“I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said.

“Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.”

In a more lighthearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s.

“He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the ’70s.”

“It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.”

Meta has spent billions of dollars developing AI and building out data centers to support it. But now, the company may be preparing to put those data centers to a more immediately profitable purpose.

On Wednesday, Bloomberg reported that Meta is developing plans for a cloud infrastructure business, selling access to both AI compute power and models. The move would pit it against the big cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure. 

Meta’s decision to sell off excess compute comes weeks after SpaceX, via xAI, announced similar plans. In early May, SpaceX signed a deal with Anthropic to buy out all of the compute capacity at SpaceX’s Colossus 1 data center. SpaceX has signed similar leases since with Google and Reflection AI. The fact that Meta is doing the same is a signal that the winners of the AI race may not be the ones providing the best models and services, but rather the ones who own the data centers.

That is, if the demand for compute continues to hold, and if data centers retain their value. Some skeptics have warned the race to build out AI infrastructure is creating a bubble that leans heavily on rapidly depreciating chips. Others have questioned whether AI companies can generate enough end-user revenue to justify the trillion-dollar bets. 

Those concerns haven’t stopped Meta from investing heavily in infrastructure for AI compute. As of the end of the first quarter, Meta had committed to spending $182.9 billion on AI infrastructure in the coming years, including massive ongoing projects in Louisiana and Ohio. The Ohio project, which Zuckerberg said would be the size of Manhattan, is expected to come online this year.

Unlike Google and OpenAI, Meta hasn’t seen significant demand for its own AI models and services. Meta doesn’t break out its revenue from Meta AI or from Llama, its open-weight AI model family, in its earnings, and executives have mostly emphasized the internal corporate uses of AI in public statements. That could mean that Meta’s AI endeavors don’t yet represent a material standalone revenue line. 

To get a return on some of its own colossal spend, Meta may copy CoreWeave’s business model and sell access to “raw” compute capacity, according to Bloomberg. The outlet also reported Meta is considering following AWS’s lead and selling access to various AI models — including its recently launched closed-weight model, Muse Spark — hosted on its AI infrastructure.

The new business line will be part of a new initiative reportedly dubbed Meta Compute, which is led by head of infrastructure Santosh Janardhan, Meta Superintelligence Labs leader Daniel Gross, and president Dina Powell McCormick.

The report confirms Zuckerberg’s May statements that a Meta cloud computing business is “definitely on the table” as a way to get a return on some of the massive investment into its strategy to develop AI “superintelligence.”

TechCrunch has reached out to Meta for comment.

The Builders Stage is returning to TechCrunch Disrupt 2026, bringing together founders, startup operators, and investors for practical conversations on what it takes to build and scale successful companies.

Hear from startup and venture leaders shaping the tech ecosystem, including Grant Lee, CEO and co-founder of Gamma; Leah Solivan, founder and general partner at Precedent.vc; Robby Stein, VP of Product at Google; and more. Through candid conversations and real-world case studies, speakers will share actionable insights on fundraising, hiring, go-to-market strategy, AI, and the operational decisions that fuel startup growth.

Join more than 10,000 founders, investors, startup operators, and technology leaders at Moscone Center in San Francisco on October 13-15. Register today and save up to $330 before ticket prices increase.

Built for founders who are ready to scale

Building a startup is one thing. Building a company that can scale is another challenge entirely. The Builders Stage is one of six industry-focused stages at Disrupt 2026, dedicated to helping founders navigate the challenges of growth, from raising capital and hiring top talent to building go-to-market engines and preparing for the jump from Seed to Series A.

Every session delivers practical strategies you can put to work immediately, plus opportunities to engage directly with speakers during live Q&A. Secure your pass to Disrupt 2026 today and save up to $330 before rates increase.

Without further ado, here’s your first look at the Builders Stage agenda, with more speakers and sessions to be announced as we get closer to the event.

Builders Stage Agenda

How to Win When You’re Not Building AI

With Shan Shan, Investment Manager, Baillie Gifford and more speakers to be announced

AI may dominate the world of venture, but many enduring companies won’t be those that sell AI models or agents. This session is for founders competing for attention in an AI-obsessed market. Panelists break down what actually matters now: efficient growth, retention, revenue quality, and disciplined execution, and why fundamentals, not hype, still build breakout businesses.

What Happens When OpenAI Ships Your Roadmap

With Michel Tricot, CEO and Co-founder, Airbyt; Rob Toews, Partner, Radical Ventures; and Linda Tong, CEO, Webflow

Nearly all AI founders have the same worry these days: what if OpenAI or Anthropic launches a product that competes with mine? Even strong products are at risk of becoming features of the larger players. This session explores where defensibility exists and what founders can do if they do face competition from rapidly evolving AI giants.

Winning Pre-Seed Without a Product

With Puneet Agarwal, Managing Partner, True Ventures; Austin Clements, Managing Partner, Slauson and Co; and Sandhya Venkatachalam, Founder and Managing Partner, Axiom Partners

Founders are increasingly expected to compete for capital before they even have a product. At the pre-seed stage, investors are betting on story, conviction, and founder-market fit. This session breaks down how to build credibility before revenue exists so investors will cut that first check.

From MVP to Billions of Users: How Product Decisions Must Change at Scale

With Robby Stein, VP, Product, Google

The instincts that win when building your first minimum viable product can break you at a billion-user scale. In this fireside, Robby Stein shares how product decision-making changes when every update impacts billions of users. Hear how teams balance speed with trust and innovation with reliability at one of the world’s largest product organizations.

Hiring When AI Is a Co-Founder

With Josh Reeves, CEO and Co-founder, Gusto and more speakers to be announced

Early-stage companies are no longer just building with AI; they’re hiring it. As AI agents take on engineering, support, and operations, the definition of an early team is being rewritten. This session explores how founders decide what humans should own versus what gets delegated to AI, and how high-growth startups are building hybrid teams without losing speed, accountability, or culture.

M&A Is Now an Early-Stage Strategy

With Karl Alomar, Managing Partner, M13; Aklil Ibssa, Head of Corporate Development and M&A, Coinbase; and Lindsey Mignano, Founder, Mignano Law Group

The smartest founders today aren’t just building for IPOs; they’re also building with possible acquisitions in mind from day one. As exits shift and capital tightens, understanding M&A early has become a competitive advantage. This session breaks down how founders can create the possibility of such an option through product strategy and partnerships. It delves into how big-dollar startup outcomes actually happen, even for small companies.

The Series A in 2027

Jahanvi Sardana, Partner, Index Ventures; Shailendra Singh, Managing Director, Peak XV; and Janelle Teng Wade, Partner, Bessemer

Series A is getting harder, with VCs growing more demanding. For founders planning to raise in the next 1–2 years, this session breaks down what “fundable” will actually mean in 2027. Hear how top investors are redefining the metrics, teams, and traction that matter now, what outdated fundraising playbooks no longer work, and how companies can separate from the pack in the next funding cycle.

The 90-Day GTM: Why $0–$10M ARR Is the New Baseline (And How to Actually Get There)

With Ryan Meadows, Chief Revenue Officer, Lovable; Tomasz Tunguz, General Partner and Founder, Theory Ventures; and more speakers to be announced

The definition of traction has changed. What once took years is now expected in months, and $0–$10M ARR is increasingly becoming the new early-stage baseline. This session breaks down how AI-enabled execution, faster distribution, and shifting investor expectations are compressing GTM timelines, and the tactical levers founders need in the first 90 days to accelerate revenue and stand out fast.

The real Tokenmaxxing: How the Best AI Companies Navigate a Multi-Model World

With Mo Jamma, Partner, Capital G; Zuzanna Stamirowska, CEO and Cofounder, Pathway; and more speakers to be announced

The frontier is moving faster than any single model can keep up with, and the teams building the most successful AI products are increasingly orchestrating across many models rather than betting on just one. This panel brings together founders and operators at the center of that shift to discuss how they evaluate new models, manage cost and reliability at scale, and architect products that can evolve as quickly as the underlying technology.

PMF Red Flags: How to Tell If You Really Have It

With Rajeev Dham, Partner, Sapphire Ventures; Rahul Vohra, Founder & Head of Superhuman Mail; and more speakers to be announced

In an AI hype cycle, product-market fit signals are easier to fake and harder to trust. Founders are mistaking early excitement, usage spikes, and pilot wins for durable traction. This session breaks down what false PMF actually looks like, how investors and operators separate real retention from hype driven adoption, and the signals that indicate whether a company has true pull or just temporary momentum.

The Zero-to-1K Playbook: How to Get Your First 1,000 Customers Without a Marketing Budget

With Grant Lee, CEO and Co-Founder, Gamma and Leah Solivan, Founder and General Partner, Precedent.vc

Early customer acquisition is not about marketing spend; it’s about founder-led distribution and relentless execution. Most startups at zero to one do not have budget, brand, or scale, only urgency and creativity. This session breaks down how founders are landing their first customers through community building, product-led growth, founder-led sales, strategic outbound, and word-of-mouth momentum.

Yes, It’s Hard to be a Founder: An Honest Conversation

With Nell Daly, Co-Founder and Managing Partner, Revenge Capital; David H. Rosmarin, Associate Professor, Harvard Medical School; and Jack Withinshaw, Co-founder and Chief Commercial Officer for Airspeeder

Company building is as psychologically demanding as it is strategic, and most founder narratives understate that reality. In this candid conversation, founders and mental performance experts unpack the hidden costs of high growth environments, from burnout and decision fatigue to the identity strain of sustained pressure, and share the systems, habits, and mental frameworks that help leaders endure and perform at a high level.

So You’ve Got a Hit Product. How Does Your Company Do It Again?

With Filip Kaliszan, CEO and Co-Founder, Verkada; and more speakers to be announced

Most startups stall out because they build a single great product instead of a repeatable multi-product engine. Join a venture capitalist and two founders as they reveal the precise operational playbook for capital allocation, systemizing internal innovation, and engineering a compounding “Second Act” before the core product’s growth curve flattens.

Hiring, Compensation and Culture in the Most Competitive Market Ever

With Matt Birnbaum, Founder, Wylder.co; Atli Thorkelsson, VP, Talent Network, Redpoint Ventures; and more speakers to be announced

No question about it, the growth of AI startups has made hiring and retention for all tech companies more difficult. From competing for AI talent to secondary sales, founders are rethinking the human infrastructure of their startups. As hiring, incentives, and employee expectations rapidly evolve, this session explores how companies are adapting compensation, culture, and team-building strategies to attract and retain top talent in a fundamentally changed startup environment.

How To Create Viral Growth and Capitalize On It

With Zach Yadegari, Founder, Cal AI

Startups can go from zero to viral overnight, but sustaining that momentum is a completely different challenge. In this fireside, Zach Yadegari shares how Cal AI navigated rapid growth, product pressure, and the realities of building in a distribution-driven market. Hear the lessons behind turning breakout attention into durable retention and long-term company building.

The High-Conviction Filter: What We Learned from the Battlefield

With Alexa Von Tobel, Inspired Capital and more speakers to be announced

What separated the breakout companies from the rest at Disrupt 2026? In this candid debrief, Battlefield judges unpack the trends and founder qualities that stood out in real time, from shifting investor expectations to the narratives that resonated most this year. The conversation will also explore how startup storytelling is evolving and what happens after the spotlight, including the realities of maintaining momentum and surviving the critical 12 months after a major launch, funding round, or Battlefield appearance.

Join the conversations and make the connections at Disrupt

If you’re ready to build smarter, scale faster, and learn from the leaders shaping the future of startups, secure your pass to TechCrunch Disrupt 2026 today and save up to $330 before rates increase.