At a Y Combinator event on Tuesday night, Sam Altman made 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 deal is structured as an uncapped SAFE (Simple Agreement for Future Equity), meaning the equity stake each startup gives up will be determined at the time of its first priced round, typically a Series A. An uncapped SAFE does not set a ceiling on the valuation, which can benefit founders because the higher the valuation at conversion, the smaller the slice of the company the investor receives. Some estimates suggest that if a startup reaches a $100 million valuation, OpenAI could hold about 2% equity, though the exact terms remain undisclosed.
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. 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.
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. For many founders, the promise of $2 million in tokens could mean months of free API access, allowing them to focus resources on hiring, marketing, and product development instead of cloud computing fees.
However, 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 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.
To understand the full context, it helps to look at Sam Altman's history with Y Combinator. Altman served as president of Y Combinator from 2014 to 2019, overseeing the accelerator's expansion into new areas like AI and biotech. He has remained a recurring guest speaker and advisor, maintaining close ties with the startup community. His offer to provide tokens to the current batch is reminiscent of his earlier efforts to support YC companies, such as the creation of the YC Continuity fund for later-stage investments. However, this deal is unique because it ties OpenAI directly to the accelerator's portfolio, blurring the lines between investor and platform provider.
OpenAI's move comes at a time when AI startups are increasingly dependent on large language model providers. Companies like Anthropic, Cohere, and Google's DeepMind offer similar API services, but OpenAI's GPT models remain the most widely used. By offering tokens ahead of competitors, OpenAI is essentially capturing the next generation of AI-native companies before they have a chance to experiment with alternatives. This strategy mirrors what Microsoft did with its early investments in OpenAI itself, and more recently with its own AI copilot offerings.
The terms of the deal also raise important questions about valuation and dilution. An uncapped SAFE is typically used in early-stage investing when it's too difficult to determine a company's worth. For startups that achieve high growth quickly, this can be a favorable structure because investors get a smaller percentage at conversion. However, if a startup's valuation grows slowly, the lack of a cap could mean that OpenAI ends up with a larger stake than the founder anticipated. There is also the possibility that the token budget might be used inefficiently, leading to a scenario where the startup burns through the tokens without achieving meaningful traction, thereby surrendering equity for little return.
Industry observers have drawn parallels to other platform plays in tech history. For instance, Amazon Web Services (AWS) offered substantial credits to startups through programs like AWS Activate, which provided free cloud computing resources in exchange for exclusive usage commitments. Similarly, Facebook's FbStart program gave startups free advertising credits and tools in exchange for integrating Facebook's login and sharing features. These programs have been criticized for creating lock-in effects, though they also provided critical resources that helped startups scale. OpenAI's token offer follows a similar pattern, but with the added layer of equity, making it a more direct financial investment.
The timing of the announcement is also notable. With AI inference costs declining rapidly due to improvements in hardware and model efficiency, the actual cost to OpenAI of providing these tokens may be significantly lower than the $2 million face value. This means OpenAI could be acquiring equity in a portfolio of promising startups at a relatively low cost, while the startups benefit from what appears to be a generous package. The deal could thus be a savvy financial move for OpenAI, spreading risk across many companies while securing early access to innovative products built on its platform.
For the startups in the current Y Combinator batch, the decision to accept the offer will depend on their individual circumstances. Those with heavy AI usage may find the tokens a lifeline, allowing them to postpone fundraising and focus on product-market fit. Others, particularly those building applications that are not deeply reliant on large language models, may prefer to conserve equity and pay for tokens out of pocket. Founders must also consider the long-term implications of giving equity to a company that could become a competitor, especially if OpenAI decides to enter their market segment.
Y Combinator managing director Jared Friedman told TechCrunch that the deal will be offered as an uncapped SAFE and will convert in the next priced round. This structure is familiar to YC alumni, as the accelerator has used SAFEs for years to simplify early-stage investments. The key difference here is that the investor is not a traditional VC but a technology platform with its own strategic interests. This could lead to conflicts of interest if, for example, a startup's product competes with an OpenAI feature or if OpenAI's data usage policies change.
In summary, the offer represents a bold experiment in aligning the interests of a foundation model provider with early-stage startups. Whether it becomes a standard practice in the industry or a cautionary tale depends on how the startups fare and how OpenAI manages its growing portfolio of equity holdings. For now, the Silicon Valley gossip mill is churning, with founders weighing the pros and cons of taking Altman's mic drop deal.
Source: TechCrunch News