During a Y Combinator event on Tuesday night, Sam Altman had what YC partner Tyler Bosmeny called a “mic drop moment.” Altman offered $2 million worth of OpenAI tokens to every startup in the current class in exchange for equity in the startup. In other words, he promised that OpenAI would invest in the whole class, not with cash but with an allotment of AI tokens that startups can use to build their products.
Y Combinator has about 169 startups in this cohort, according to its directory. The offer came as a surprise to many attendees, who had gathered for a routine demo night. Altman, a former president of Y Combinator, has remained a frequent speaker at YC events since leaving to lead OpenAI. The tokens provided can be used to access OpenAI’s APIs, including GPT-4o, DALL-E, and Whisper, enabling startups to integrate AI capabilities into their products without upfront cash expenditure.
Equity via uncapped SAFE
As for how much equity each startup can expect to give up, that cannot be determined at the time it signs the deal. It will depend on how much the startup is worth when it raises its first priced round — a funding round in which investors assign the company a formal valuation. Y Combinator managing director Jared Friedman tells TechCrunch that the deal will be offered as an “uncapped SAFE,” meaning, “it will convert in the next priced round, which is typically the Series A,” he said.
A SAFE is YC’s standard agreement structure for its early-stage companies that raise money before their first “priced” rounds with valuations involved. An uncapped SAFE doesn’t set a ceiling on that valuation, which can benefit founders because the higher the valuation at conversion, the smaller the slice of the company the investor receives. We’ve seen some discussion on X that this deal could amount to OpenAI holding about 2% equity should a startup hit a $100 million valuation, though without seeing the actual terms, we can’t verify that.
This structure is notable because it ties the equity stake to the startup’s future success. If a startup skyrockets to a unicorn valuation, OpenAI’s share remains relatively small. Conversely, if the startup struggles and has a low valuation, OpenAI could end up with a larger percentage. The risk for founders is that they may give away more equity than if they had simply paid cash for the tokens.
Strategic implications for OpenAI
For OpenAI, the deal works on two levels. Obviously, it gains equity in this crop of early-stage companies, meaning it profits if they succeed. But it also encourages them to build their business on and with OpenAI. Whether this locks them in for the long term or not, it does mean that they won’t default to OpenAI’s competitors, like Anthropic’s Claude Code or Google’s Gemini.
The tokens themselves may sweeten the deal further: As inference costs continue to fall, what OpenAI is giving away today could cost it very little to produce tomorrow — making the equity it receives in return look increasingly cheap. OpenAI has been aggressively reducing its API pricing over the past year, with GPT-4o now costing a fraction of what it did at launch. This trend means that the $2 million token allocation has a lower real cost to OpenAI than it would have had a year ago, while the equity could appreciate significantly if the startups succeed.
Altman’s move also signals a new model for AI companies to invest in the ecosystem. Rather than funding startups through traditional venture arms, they can offer compute credits or API tokens in exchange for equity. This approach has been tried by cloud providers like Amazon Web Services and Microsoft Azure, but never at such a scale and with such favorable terms for the issuer.
Mixed reactions from the startup community
Unsurprisingly, there’s already plenty of commentary on X on why this is and isn’t a good deal for startups. The pro-deal folks believe the deal helps startups eliminate one of their biggest costs — AI infrastructure bills, which can spiral fast and consume a disproportionate share of an early-stage startup’s budget at a time when money, typically, is already scarce. A typical AI-powered startup might spend $50,000 to $100,000 per month on GPU instances and API calls. The $2 million token allocation could cover multiple months of development and deployment, allowing founders to focus on product-market fit rather than fundraising.
The buyer-beware folks have other warnings. Seed investor Jason Calacanis — who has his own competing accelerator and fund — went for the be-afraid-of-Big-Tech warning. “If you take these tokens, there’s a non-zero chance that OpenAI will study exactly what your startup is doing, copy your idea and put your app into their free offering. This is the classic platform playbook — be careful, founders!” he posted. The fear that OpenAI and Anthropic could swallow every good AI startup idea is real.
The truth is, should OpenAI want to do that, it can, even when startups simply pay OpenAI for the tokens. By taking an equity stake, OpenAI may have more incentive for the startup’s success, not less. Plus, as the former head of Y Combinator and a recurring guest speaker, Altman has as much access to every cohort and its ideas as he wants, deal or not. The concern about copycat behavior is not unique to OpenAI; major technology platforms have a long history of embracing and extending features pioneered by smaller startups, from social media to productivity tools.
Trade-offs for founders
The bigger question for this YC batch is whether a budget of tokens from a single AI player is worth giving up additional equity. Y Combinator already takes a 7% stake for a $500,000 cash investment in its standard deal. In exchange, startups get access to YC’s powerful Silicon Valley network of VCs, potential customers, and other founders. But equity is also precious for startups. Seed investors frequently take 20% or so, too. And startups need equity as compensation for their early employees.
The bigger danger is that a startup will blow through its OpenAI token budget without enough to show for it, having surrendered equity in the process. Still, that may be better than paying for the tokens with cash, an even scarcer resource at that stage. Founders must weigh the immediate need for AI resources against the long-term cost of dilution. For bootstrapped or lean startups, the tokens could be a lifeline, but for those with clear revenue models, paying cash might be cheaper.
Altman’s offer also creates a strategic alignment: startups that accept the tokens are more likely to become OpenAI-dependent. If the startup builds its core product around GPT-4o, switching to an alternative model later may be difficult. This lock-in effect is both a benefit and a risk. It ensures deep integration with a leading AI platform, but it also reduces bargaining power when negotiating future pricing or terms.
Historical context and broader industry trends
Altman’s move is reminiscent of a playbook from the early days of cloud computing. Amazon Web Services offered credits to startups to build on its infrastructure, and many of those startups became long-term customers. The difference is that cloud credits were often given as part of an accelerator program with a fixed equity stake, not as a one-off investment. OpenAIs approach is more akin to a convertible note, allowing the valuation to float with the startup’s progress.
This deal also reflects the increasing convergence of AI model providers and venture capital. Anthropic has its own fund, and Google has invested heavily in AI startups. But offering equity for tokens is a novel structure that could be replicated by others. If successful, it could become a standard way for AI companies to secure early access to innovative applications and user data.
For Y Combinator, the deal reinforces its position as a launchpad for transformative technologies. The accelerator has a history of facilitating unique investment structures, including the SAFE itself. By allowing OpenAI to participate in this way, YC is once again at the forefront of experimenting with new funding mechanisms. Whether this experiment benefits founders remains to be seen, but it certainly generates buzz and positions YC as a place where cutting-edge AI startups can thrive.
Source: TechCrunch News