Cursor Acquired for $60BN | Anthropic Hits $1TRN in Secondary Markets & Figma, Adobe, Canva Dead?
Summary
The proposed $60 billion Cursor/xAI-SpaceX tie-up is an IPO-contingent option, not a transaction closing today. SpaceX can acquire Cursor after going public or pay a $10 billion break clause; Jason Lemkin sees meaningful execution conditions, but Rory O’Driscoll thinks the public promotion signals intent to close. Industrially, Cursor brings several billion dollars of coding revenue but weak gross margins, while xAI brings Colossus, “hundreds of thousands of GPUs,” roughly $20 billion of infrastructure and little revenue — “a marriage made in heaven.”
SpaceX’s extraordinary multiple makes Cursor cheap even if $60 billion sounds unprecedented. At an alleged $2 trillion valuation, SpaceX would spend about 3% of its equity value to acquire perhaps 15%-20% of combined revenue; even at $1 trillion, Jason’s comparison is stock trading near 50X revenue buying Cursor near 10X year-end revenue. “If your stock is valued at 100 times revenues, you can buy things that are trading at 10 or 15 times revenue all fucking day long.”
The deal split the panel on whether $60 billion is an M&A high-water mark or merely the new floor for strategic urgency. Jason predicts a $100 billion acquisition within 12 months because seven roughly $2 trillion companies can spend 5% of market cap to avoid falling behind; Rory predicts this remains private M&A’s high-water mark for a decade, given the finite buyer pool and sub-10X revenue multiples elsewhere. They agree on the mechanism: every major CEO is asking, “Who the hell can we buy to get ahead?”, and Cursor has expanded the Overton window for $10 billion-$20 billion deals.
Anthropic’s trillion-dollar secondary price reflects peak scarcity and FOMO, not a settled judgment about the AI winner. Harry says European families want “Anthropic and nothing else,” but Jason notes Codex usage rose 50% in one month and argues the autonomous-agent war has only started: “I can’t honestly predict 30 days out.” Rory expects Anthropic to exploit the moment with an October/Q4 IPO, potentially raising at $1 trillion while accessing the equity, convertibles and debt needed for a stated $200 billion-$300 billion capital appetite.
Claude Design need not replace Figma, Adobe or Canva to impair their growth. Jason’s crucial distinction is that Anthropic built an application — with users, sharing, hierarchy and saved assets — rather than another prompt or purple-gradient artifact generator. It is not yet Figma or Illustrator, but its Claude Code integration lets product and engineering teams bypass slow design handoffs; over four, six or eight quarters, “if it maims you, it maims you.”
Tim Cook’s orderly exit masks a broader warning for pre-AI incumbents: paid retention can coexist with disappearing usage. Cook leaves Apple at 65 after market capitalization rose from roughly $350 billion to $4 trillion, with the stock barely reacting to internal successor John Ternus. Jason’s “stealth churn” test is more forward-looking: he still pays Netflix while watching YouTube, and he said Amelia had not used OpenAI for four months even though they were still paying for it — making MAUs, WAUs and DAUs growing faster than revenue a new survival indicator.
Rippling’s $1 billion ARR and 78% growth demolish “SaaS is dead,” but agents will reorder winners through APIs. The company reportedly accelerated from below $500 million only 11 months earlier, which Rory calls “a win against the run of play”; payroll remains deterministic, regulated infrastructure that customers will not vibe-code. Yet Jason may switch providers after six years on Brex in one week based solely on an agent/API bake-off: “Our AI VP of Finance… don’t care what the UX is.”
Salesforce’s headless strategy is really a bid to become the trusted control plane for enterprise agents. Its two-decade-old API can preserve the data and workflow layer as human seats disappear, but Jason sees the larger prize as “agent fabric”: real-time governance, security, context and auditability across hundreds of agents and sub-agents. Salesforce is well placed because CIOs trust incumbents, but execution must arrive before that advantage expires: “You can’t let these crazy agents run amok.”
Deep dive
1. Cursor’s $60 billion deal remains an option with real closing risk
Harry framed the announcement as a $60 billion acquisition by xAI-SpaceX with a $10 billion break clause, but emphasized that it closes roughly six months later, after SpaceX’s planned IPO. Rory’s cleaner description: SpaceX has an option to acquire Cursor and otherwise pays $10 billion for the work.
Jason’s caution was explicit: “I’m not sure they’re buying them for $60 billion.” Senior engineers had already moved to xAI, Cursor had substantial model-and-compute commitments around Colossus, and its value may depend on hitting a state-of-the-art-model milestone rather than merely owning an IDE.
Those conditions explain why Jason “wouldn’t be surprised if it doesn’t close.” Rory allowed for a “try before you buy” structure but argued that SpaceX would have buried a vendor arrangement; promoting it across X tells the market the intended outcome is an acquisition.
If completed, Rory called it the largest private venture acquisition ever: $60 billion roughly two to three years after founding, versus Wiz at $32 billion and WhatsApp at $16 billion. Jason’s reaction captured the time compression: most funds take 20 years; “this will be three and a half.”
2. Vertical integration repairs complementary weaknesses in Cursor and xAI
Rory reduced the industrial logic to two mismatched balance sheets. Cursor has an exploding coding business, several billion dollars of revenue and potentially $6 billion by year-end, but “shitty gross margins” because it lacks sufficient proprietary models and compute.
xAI has the inverse problem: roughly $20 billion invested in Colossus, “literally hundreds of thousands of GPUs,” substantial ongoing burn and relatively little revenue. It could sell white-label capacity, but Cursor places that infrastructure directly inside “the mother of all AI markets,” coding.
Rory’s stylized combination was a company making $3 billion while consuming $3 billion in gross-margin costs attached to another burning roughly $18 billion. Integration does not cover the xAI cost base, but it converts an awkward frontier-lab story into a revenue-bearing, full-stack AI business.
The IPO sequencing is central. SpaceX can tell public investors that xAI has a remediation plan without delaying the offering: close the flotation, exercise the option and present a $4 billion-$5 billion revenue AI platform whose Claude Code analogue is Cursor.
3. SpaceX’s premium stock turns an unprecedented price into cheap currency
Jason rejected Harry’s demand to name which side won: both did, because future SpaceX shareholders supply the arbitrage. At a $2 trillion valuation near 100X revenue, a $60 billion purchase is approximately 3% of market capitalization for perhaps 15%-20% of total revenue.
Even Jason’s downside case preserves the logic. If SpaceX trades at $1 trillion, roughly 50X revenue, while Cursor reaches $6 billion and sells for 10X, SpaceX is still buying lower-multiple revenue with higher-multiple paper: “It’s a great currency.”
The acquisition also solves Cursor’s buyer scarcity. Only a handful of companies could write a $60 billion check for a roughly break-even-gross-margin business; several would face Department of Justice constraints, while committee-led companies would struggle to approve it. Founder control makes the exceptional check possible.
Rory’s seller-side call was simpler: take the gift. Founder exhaustion becomes visible around years four or five, when leaders must choose another “tour of duty”; Cursor’s founders can avoid a second tour after three years with a $60 billion outcome.
4. Cursor investors may receive spectacular returns wrapped in SpaceX risk
Jason expects Cursor investors to receive SpaceX stock rather than cash. A proposed $75 billion IPO at $2 trillion creates a tiny float, so adding Cursor shares to a market already facing employee liquidity and lockup management could leave holders restricted for 12-18 months.
That exposure matters most to late investors. Jason put the Series B near 20X and the most recent round near 2X; Rory guessed the Series A could be 40X-50X. Jason’s example was that an 80X could become a 40X and still be a strong outcome, while a 2X entry could break even or go down.
Thrive’s construction impressed Rory more than a single headline multiple. It joined the A, led the B and kept deploying until roughly $800 million produced an aggregate 4X-5X outside the early stake — combining a small venture-style outlier with growth-stage dollars at enormous scale.
That illustrates why pure multiple rankings mislead institutional LPs. A small emerging manager might return 16X on a limited allocation, while Thrive can turn billions into several billions; “different products for different folks,” with the latter potentially more consequential to a large endowment.
5. Cursor widened the M&A window even as the panel split on $100 billion
Jason predicts a $100 billion acquisition within 12 months and called Cursor “one of three.” Harry’s premise was that Nvidia, Apple, Meta, Amazon, Alphabet, Microsoft and potentially SpaceX can spend 5% of a $2 trillion market cap to prevent strategic irrelevance.
Rory initially predicted Cursor would remain “the high water mark of private M&A for a decade.” Most plausible buyers trade below 10X revenue, making $100 billion hard to justify unless the target already produces $5 billion-$10 billion; a JPMorgan-Stripe combination made him acknowledge an exception rather than abandon the broader skepticism.
Jason’s boardroom evidence was experiential: senior executives under technological threat repeatedly ask, “Who the hell can we buy to get ahead?” Tuck-ins do not move a $2 trillion company, but a target above the strategic line can justify 5% dilution immediately.
Both agreed Cursor changed corporate psychology. A $10 billion-$20 billion acquisition now looks routine, and corp-dev teams do not treat equity as founders treat personal cash: “What does it take to buy the next Cursor? … Done.”
6. Tim Cook exits at a high while stealth churn threatens incumbents
Apple’s transition earned near-unqualified praise. Cook leaves at 65 for internal successor John Ternus, an Apple veteran of 24 years; despite unexpected timing, the stock moved less than 0.5%, which Rory read as evidence of an “organized, well-managed transition.”
Rory’s scorecard was formidable: revenue and operating income rose roughly 3X-4X, market capitalization climbed from about $350 billion to $4 trillion, and the market cap increased 12X. Because buybacks reduced the share count, he put the stock-price gain near 20X.
Jason nevertheless linked Cook, Reed Hastings and Adobe’s leadership transition to “AI terror.” Rory separated the exposures: Adobe needs an AI strategy existentially, Apple can remain the hardware platform despite weak Siri, and Netflix still faces primarily media challenges rather than immediate AI replacement.
Jason’s counter was “stealth churn.” He still pays Netflix while consuming YouTube, including more AI-generated content; he said Amelia had not used OpenAI in four months despite the subscription still being paid. He now wants MAUs, WAUs and DAUs growing faster than revenue, because billing can conceal behavioral abandonment.
7. Anthropic’s trillion-dollar heat does not settle the model race
Harry’s LP anecdote captured the scarcity: major European families wanted “one thing, Anthropic,” while secondary prices reached $1 trillion after the company rejected funding offers around $800 billion. The market is crediting Anthropic as the enterprise leader.
Jason refused to extrapolate. Codex usage had reportedly risen 50% in one month, OpenAI was launching autonomous agents as they recorded, and Jason had tested both APIs; nevertheless, he would not predict the next 30 or 90 days.
He dismissed stacks of Mac Minis and macros as “performative art” because little had shipped. The durable contest begins when autonomous agents work continuously, and both OpenAI and Anthropic are only entering that phase: “That war’s just started.”
Rory separated company quality, market price and realized return. Anthropic can be an extraordinary business, trade at $1 trillion and deliver a fabulously successful IPO, while buyers at that valuation still regret the position six months later.
8. Peak FOMO makes an Anthropic IPO more rational than another private round
Rory expects Anthropic to go public in October or Q4 “as soon as is humanly possible.” Rejecting $800 billion makes sense if public investors would currently fight for shares at $1 trillion, particularly if a private round carries rights the company no longer needs to grant.
Compute turns timing into strategy. Anthropic’s answer to OpenAI’s infrastructure advantage is better software plus as much capital as possible; if management believes it needs another $200 billion-$300 billion, public status expands access to follow-ons, convertibles, preferred structures and debt.
Jason noted the anomaly that a private round had reached $122 billion while SpaceX’s proposed largest IPO was $75 billion. Rory still favored public markets: one more giant private financing is possible, but deep, repeatable liquidity and lending capacity reside in public markets.
Jason invoked Figma’s collapse as a warning; Rory reframed it. Figma priced near $35, speculative buyers drove it above $100 and it later traded around $20 as enthusiasm rotated from cloud software to AI. Even if Anthropic falls after raising $50 billion, it has cash while private competitors keep losing money: “We win.”
9. Claude Design can maim design incumbents without matching their products
Jason’s most important observation was categorical: “Claude Design is an application.” Anthropic added sharing, users, hierarchy and saved assets, moving beyond prompts and the recognizable Claude-artifact aesthetic of generic websites and purple gradients.
It is not yet equivalent to Figma, much less Illustrator, and Jason rejected claims that it suddenly replaces elite human taste. The threat is that ordinary product teams can create production-ready work themselves rather than waiting weeks for a designer to return a file they must translate into code.
His horizon was deliberately measured: Claude Design may not affect Figma’s next quarter, yet over four, six or eight quarters it can “maim its growth.” Anthropic never needs to build a direct Figma or Adobe clone if each task completed inside Claude removes incremental demand elsewhere.
Canva is less exposed immediately because much of its work involves physical posters, pictures and other outputs decoupled from software. Gamma is closer to the firing line because Claude already makes slides; the application can also import from Figma and export to Canva.
10. Design is collapsing into the same workspace as product and engineering
Jason contrasted the new workflow with his Adobe experience: public-facing design required a ticket, followed 60-90 days later by a PDF that product and engineering spent further months implementing. AI first let product teams prototype in Replit and Lovable, then commit directly alongside engineers.
Claude Design’s export into Claude Code closes the loop. Jason still wants humans for an exceptional homepage or splash screen, but teams shipping daily will use the integrated result now and improve it later: “No one’s saying it’s pixel perfect. Don’t have time.”
Rory compared the attack to Google Workspace gnawing at Microsoft Office. Google could spend $1 billion “yanking Microsoft’s chain” without needing to win; 15 years later Office remained roughly a $40 billion business, illustrating outcomes ranging from minor low-end user loss to 25% revenue impairment.
Bundling makes this instance more credible than forgotten GPT stores or plugins. Design is the front door to software, coding is AI’s enterprise motherlode, and a unified design-product-engineering tool has a “better together” advantage worth sustaining near Claude Code’s core.
11. Mega-growth funds monetize access even as consensus erodes alpha
Accel’s $4 billion leaders fund and Sequoia’s $7 billion growth fund confirm where institutional capital wants exposure. Rory agreed directionally: companies stay private longer and outcomes are larger, so capitalism is raising vehicles capable of writing the required checks.
His caveat was cyclical. Growth produces excess returns when valuations are depressed, as in 2022, or when investors possess an insight the market lacks, such as recognizing ChatGPT’s importance early; plentiful capital and universal belief in AI weaken both sources of advantage.
Jason argued the rounds can physically absorb the funds. At $30 billion or $122 billion, relationship-rich firms can secure allocations even as the fourth name in a release; repeated access to Dario or Sam turns brand and proximity into a scalable distribution advantage.
Harry called some Anthropic SPVs “the most egregious face ripping” he had seen, including 8% charged upfront. Sequoia’s opportunity is straightforward: LPs demand one scarce asset, the company values its name, and the fund can sit between them collecting economics.
12. Rippling proves high-growth SaaS survives, while APIs reshuffle fintech
Rippling reportedly crossed $1 billion ARR at 78% year-over-year growth after sitting below $500 million only 11 months earlier. Jason stressed that it is not merely growing fast but accelerating, calling Parker Conrad a candidate for CEO of the year.
Rory’s verdict on the category was blunt: “The whole SaaS is dead meme is bullshit.” Low-growth SaaS is unattractive; a billion-dollar company accelerating near 78% receives an excellent IPO because investors object to 10% growth and capped markets, not to subscription software itself.
Payroll is unusually durable because errors trigger immediate employee complaints and statutory or even criminal consequences. Customers do not want non-deterministic processes; they want a competent vendor accepting responsibility, making the core proposition largely orthogonal to AI.
Agents can still reorder adjacent winners. Jason’s planned AI VP of Finance will choose collections and card providers by API, not dashboard; after six years on Brex, SaaStr could switch to Ramp in one week if it wins the bake-off. Rory’s distinction: the stack remains, but API-forward vendors take share.
13. Salesforce’s headless move is a bid to govern the enterprise agent layer
Rory explained headless Salesforce as separating its two assets: the human UI and the database-workflow system holding leads, customers and pipeline. If agents replace seats, Salesforce can surrender the interface while retaining the back end those agents require.
Jason argued Salesforce has effectively been headless since launching its enterprise API in 2006. SaaStr’s agents already find it the best API in their stack and are using it to move Marketo data into Salesforce within days, despite the broader product rollout arriving at traditional B2B speed.
The larger bet is “agent fabric,” not simple orchestration: a trusted layer that knows every operation performed by hundreds of agents and sub-agents in real time, supplies context and guardrails, and handles governance, auditability and security before autonomous systems approve orders or alter records.
Rory’s analogy came from early e-commerce analytics. Retail executives once lost the ability to “walk the floor,” creating NetGenesis and Omniture; executives now need visibility into far more powerful, decision-making bots. Salesforce is well placed, but only if it can execute before its installed-base advantage expires.
14. AI M&A is trapped between unaffordable startups and instant obsolescence
Elad Gil’s advice was to discuss exits annually and, where possible, sell AI companies for an easy $1 billion. Jason agreed with the discipline but questioned the buyers: a public-company CEO told him startups with $5 million revenue routinely demand $1 billion after their latest rounds.
HubSpot, valued around $12 billion in the conversation, can risk roughly $50 million but cannot repeatedly spend $1 billion. Rory noted that among approximately 250 AEO/GEO competitors, an incumbent should still find an affordable, capable target somewhere below the first five.
Price is only half the problem. Jason argued HubSpot may have bought a competitive AEO product for $30 million, only to find it stale within months; an acquisition that once allowed a year-long rebuild now risks becoming irrelevant before integration finishes.
Rory sharpened the organizational diagnosis: the challenge is preserving urgency and speed after acquisition. With AI-native products potentially becoming obsolete within weeks, buying talent or code without retaining its operating tempo may destroy the reason for the deal.
15. Cerebras has earned a credible second attempt at the public market
Harry cited $510 million of 2025 revenue, 76% growth and $219 million in 2024, while noting that earlier G42 concentration concerns had been resolved. Rory corrected the profitability narrative: an accounting liability reversal created noise, but operations still lose money.
The venture achievement is a decade-long semiconductor build. Founded in 2016, Cerebras created a “big-ass wafer-scale chip” optimized for fast, low-latency AI inference in a market with few buyers and hyperscalers increasingly designing their own silicon.
Middle Eastern deployments and a cloud inference service proved the chip in use; one Rory-backed company found it genuinely fast. More recently, Cerebras signed deals with AWS and OpenAI; the OpenAI deal was cited at $20 billion of commitments, though Rory cautioned, “Who the hell knows what that means.”
Groq’s $20 billion sale creates one benchmark, but Cerebras is a high-beta public call option. With Nvidia around $5 trillion in the discussion, Rory observed that 1% equals $50 billion; when risk appetite is high, the only other standalone exposure can price far above fundamentals.
16. Selling versus staying independent is only obvious after momentum turns
Jason contrasted Groq’s $20 billion exit with Cerebras enduring a public-company roller coaster for another decade. Harry preferred the SalesLoft path — sell to private equity for $2 billion and “peace out” — because founders also optimize for time, risk and emotional cost.
Rory’s answer resisted a universal rule. Google was glad it did not sell early, Jensen is glad Nvidia stayed independent, and founders enjoying the work may rationally continue; “when it works, you’re glad you didn’t sell, and when it doesn’t work, you wish you had.”
Jason returned to Gil’s governance test: once a year, boards should ask honestly whether they are Nvidia or the company whose momentum has already broken. The danger is that every CEO imagines being Jensen while employee RSUs deteriorate and talent leaves for the rising platform.
17. Jensen Huang’s China argument exposed incompatible starting assumptions
Rory found Huang strongest on the operating facts: Nvidia sells chips to customers issuing purchase orders and manages a grounded relationship with TSMC. On Anthropic, Huang acknowledged he wished Nvidia had invested but said the company lacked capacity then for venture checks on today’s scale.
The China exchange with Dwarkesh failed because the parties never shared two priors: whether China is a normal commercial competitor or a strategic enemy, and whether frontier models are ordinary software or as dangerous as uranium. “Neither of the nouns in the sentence” was defined.
Huang was also unmistakably talking his book. Rory put roughly 30% of Nvidia’s market and $40 billion of revenue in China; after lobbying the president for permission to sell there, no question from a 25-year-old podcaster would make him abandon that position.
Dwarkesh still earned credit for pressing a $5 trillion-company CEO with 30 years of domain knowledge. Rory did not think Huang proved the argument, but he recognized a semiconductor executive who could “hold his corner” through an unusually difficult interview.
18. AI’s Bay Area concentration creates a narrow European counter-position
Jason cited Elon Musk’s reposted claim that 91% of AI unicorns are now in the Bay Area. Harry accepted that most leading minds want Silicon Valley and that power is recentralizing there, while pointing to DeepMind and ElevenLabs as proof that exceptional European companies remain possible.
His investment trade-off is supply. Silicon Valley combines 91% of the companies with 91% of the capital and ferocious competition; as a top-three European brand, Harry prefers a market with perhaps one-tenth the competitive intensity over fighting Benchmark, Founders Fund and Andreessen for every allocation.
Rory translated the 91% into an equilibrium: “Bay Area wins,” but congestion, recruiting cost and scarce talent leave some margin for Europe. The recent advantage was tribal knowledge circulating through San Francisco hacker houses after 2022; as that knowledge disperses, location should become less determinative.