The recent revelation that AI model aggregator OpenRouter was exploring a sale sent shockwaves through Silicon Valley. My phone lit up with messages from bankers, all asking whether I'd heard that as many as nine buyers were circling the company, which helps clients switch seamlessly between different large language models while offering unified billing. I could sense the urgency: at least two people I called about the deal submitted their own acquisition offers immediately after hanging up.

Just a year ago, such a scenario would have been unthinkable. OpenRouter, founded only three years ago, had been growing at a breakneck pace, doubling its valuation to $1.3 billion within a year as its business scaled steadily. Startups at this growth stage typically wouldn't consider an exit via acquisition. But the times are no longer those of 2025.

In the first half of 2026, the industry's dynamics shifted dramatically. Tech giants are now suddenly willing to pay astronomical prices for startups. SpaceX snapped up AI coding giant Cursor, which had reached an annualized revenue of $4 billion in June, in a deal valued at $60 billion. Payment giant Stripe acquired OpenRouter for over $7 billion. Prominent AI model open-source platform Hugging Face is also in talks to sell itself.

Acquirers are opening their wallets because they see a clear opportunity: integrating these startups into their existing operations can unlock substantial revenue streams. Additionally, with the current low cost of capital, the risks associated with acquisitions are relatively manageable. Many companies are willing to pay a premium simply to avoid one risk: missing out on new business avenues if they don't act now. The Trump administration has also not obstructed such mergers and acquisitions.

Silicon Valley veteran entrepreneur and investor Adrien Aoun told me, "Tech giants are paying a hefty premium for opportunity cost, and these acquisition deals are now popping up everywhere." The aggressive offers from giants are convincing founders who never planned to sell to change their minds, and it's astonishing many in Silicon Valley. This reinforces a view I've long held: investors in large tech companies have overlooked a crucial fact — tech giants can generate massive profits by integrating AI technologies into their existing businesses. Startup founders, too, understand the power of scale economies.

Kim Posnett, global co-head of investment banking at Goldman Sachs, who has led several recent major deals including the SpaceX IPO, told me in an interview on Tuesday that several factors are driving the current M&A boom: the AI era brings a notable strategic premium for scale; the accelerating technology cycle raises the opportunity cost of inaction; and a more favorable macro and financing environment emboldens corporate boards to pursue deals.

However, some industry insiders caution that the enthusiasm for acquisitions has its limits. Investors and founders believe that some AI startups with larger revenue bases, such as Vercel, Sierra, and Lovable, are unlikely to be acquired in the short term. To take over such companies, acquirers would need to deploy significantly larger capital. For now, these mega-acquisitions haven't materialized on a large scale.

But I believe this wave of M&A is just getting started. Last year, Meta's $1.4 billion investment in Scale AI marked the beginning of this trend. On one hand, many founders are anxious, worried that the release of the next groundbreaking GPT or Claude model could render their companies obsolete; on the other hand, acquirers' willingness to buy continues to rise, so more acquisition deals are likely on the horizon.