Anthropic推迟IPO、OpenAI烧钱预测与Meta

With Harry Stebbings, Rory O’Driscoll and Jason Lemkin

This week’s 20VC x SaaStr covered a lot. Anthropic moved its IPO back a month. OpenAI’s internal forecast put total burn through 2030 at $278 billion. Meta shipped the first consumer AI product that competes head-on with ChatGPT and added about $100 billion in market cap in a week. TypeSafe launched Jev, a “System One” model that only returns decisions, on a $40M seed. And the IC voted on Factory at $5B, Legora at $11B and Crusoe at $30.9B. Under all of it was one question: what does a VC or LP actually do differently when everyone agrees we may be near the top of the cycle? Here are the 10 top learnings.

#1. Anthropic Moves Its $2 Trillion IPO From October to November, and the Reason Is Its Q3 Numbers

The news: Anthropic has pushed its IPO, reportedly at a valuation around $2 trillion, from October to November. Some read it as a crack in the market. The other read: Anthropic wants a clean Q3 in the prospectus.

Rory’s read: It’s about the bankers, not the market. Anthropic had a huge Q2 and passed OpenAI in revenue. OpenAI hit back hard in July with its own Q3 story. If you list in October, you’ve closed the quarter but can’t show the audited numbers yet, and that’s the worst window for a company whose most important quarter just ended. “If we do this in October, it’s going to be a lot of explaining. If we do this in November, the numbers will talk.”

Harry’s pushback: A company that expects to be 20x or 30x oversubscribed in the biggest IPO of our lifetimes doesn’t normally wait. The delay could mean there’s a little stress in the pre-marketing conversations.

Where they landed: Waiting is what a company does when it thinks it’s in a strong position with time on its side. Rory would call it a good decision 90% of the time. In the other 10%, the window shuts, which windows do without warning, and you look back and say “damn, should have taken the $100 billion.”

On liability insurance: Harry passed along a question from a multi-billionaire investor friend: how does a frontier lab go public when no insurer will cover product liability for swarms of autonomous agents? Rory: a $2 trillion company can self-insure. It doesn’t need Munich Re, which is worth $200 billion, to backstop it. Securities law doesn’t require that a stock carry no risk. It requires that you disclose the risk. When your own leadership has publicly compared the product to the atomic bomb, the risk is well disclosed. Jason expects Anthropic to handle it the way big tech handled IP trolls: a 200-person in-house legal team plus the top law firms, fighting every case for as long as it takes. “It’s game on.”

#2. OpenAI Forecasts $278B in Burn Through 2030 and About $700B in Capex, Most of It on Other Companies’ Balance Sheets

The news: Reports put OpenAI’s projected cash burn at $278 billion through 2030, with cash running out around 2028. Another round, reportedly at $1.5 trillion, is rumored.

Jason’s take: “I bet it’s more.” No portfolio company in history has burned less than it planned. With every top-line rocket he’s backed, burn came in 30% to 50% over the model, whoever the CFO was. OpenAI may need $400 billion.

Rory’s breakdown: There are three numbers, not two:

• Revenue: about $35B ARR at the end of this year, growing to about $350B in three to four years. That’s 10x over several years. Anthropic did 10x in one year, so the forecast is close to modest.
• Net burn: $278B against about $122B of cash on hand. There’s time to raise the rest.
• Capex: about $700B to get to $350B in revenue. OpenAI only burns $278B because Oracle, Nvidia and others build the data centers and lease the capacity back, with revenue support and backstops behind them.

Unlike B2B software, this is one of the most capital-intensive businesses ever built. Rory’s summary: “Intelligence is not cheap.”

#3. Meta’s Muse Hits #1 on the App Store and Adds About $100B in Market Cap in a Week

The news: Muse, the AI agent from Alexandr Wang’s team at Meta Superintelligence Labs, took the #1 spot on the US App Store about a week after launch, ahead of ChatGPT. Meta stock rose 7 to 8% in the week, roughly $100 billion in market cap, and is up about 34% for the month.

Why Muse and Instinct are the biggest credible threats to ChatGPT

“Muse is a Trojan horse to fight ChatGPT because the LLM is pretty good.

It is a darn good, normal consumer-grade LLM. If it is free, it has agents that are truly autonomous, which ChatGPT does not.

It does… https://t.co/uzyDZNybNS pic.twitter.com/kwXleqZrJE

— Harry Stebbings (@HarryStebbings) September 24, 2026

Jason’s take: Muse is the first real consumer competitor to ChatGPT, and Jason called it one of the best pieces of software he’s ever used. It’s also a Trojan horse. The underlying LLM is good. When you use Muse’s agents you also ask it everything else: how’s the new superhero movie, how was the latest 20VC. It’s free, it gives you far more tokens than ChatGPT, and its agents are autonomous in a way ChatGPT’s aren’t. “If it’s free, why would an ordinary person pay?”

The part people are missing: in two weeks, Muse built Jason a working CRM that tracks all 150 SaaStr sponsors, reads every related email and updates in real time, at zero cost. It’s a CRM of one. It can’t collaborate, so it isn’t replacing a sales team’s system. Still, it’s the first composable software Jason has actually seen work, after years of the idea being mostly talk.

Rory’s read: He agreed, and noted this is the opposite of the Meta AI spending the show has criticized. It uses Meta’s distribution, and if you already live in Instagram and Facebook, the trust question is settled. It also changes Meta’s story: “a great business pouring money into a bottomless pit of enterprise AI” becomes “a great business that could have a second act in AI.” A $100 billion move off one product also explains why OpenAI might look at the consumer agent space and think about buying Instinct.

#4. Amazon Blocks Muse, Shopify Partners With It, and Agents Will Route Around Any Middleman That Blocks Them

The news: People use Muse to buy things from many merchants. Amazon blocked it. Shopify partnered with it.

Rory’s read: Both decisions make sense. Amazon’s ad business now brings in more than its e-commerce profit, and agentic checkout cuts ad revenue to zero. Walmart’s data also shows smaller baskets, because the agent buys the one item and never sees “people also bought.” Amazon also has leverage: block them and they’ll come to you anyway. Shopify represents a long tail of merchants with no ad business that are glad of the extra demand, as long as orders run through Shop Pay. The bigger lesson is that the agent payment protocols from six months ago barely mattered. “Demand creates urgency to sort all this out.” Once someone aggregates consumer demand and starts hitting your API, everyone has to decide. Resy and OpenTable are almost certainly writing their agent API policies this week.

Jason’s take: Every system of record that fights the agents loses over time. “It’s the last stand of the unnecessary system of record.” Agents don’t accept blocked paths. They find the unofficial API, call the restaurant directly, or find the DoorDash surface someone left open. His example from the morning of the recording: one of SaaStr’s core vendors sent a large price increase. The agent immediately proposed dropping them and laid out a 12-month migration plan on its own. “They will not tolerate this crap.”

He was specific that Amazon won’t die: “It’s not that I think they’re going to be killed. I think they’re going to be maimed.” If agents take even 10% of Amazon’s ad revenue and the stock falls 20% on margin compression, that’s a big deal.