By Kashmira Konduparty
Sam Altman has sparked debate in the startup world after reportedly offering $2 million worth of OpenAI tokens to every startup in the current Y Combinator batch in exchange for equity. The proposal would provide startups with OpenAI Application Programming Interface (API) credits instead of traditional cash funding. Critics and investors quickly raised concerns about founder control, vendor lock-in and long-term equity dilution.
According to reports, the participating startups would receive a $2 million in OpenAI tokens/ API credits, access to OpenAI infrastructure and support for AI-heavy product development. In return, startups would sign an uncapped Simple Agreement for Future Equity (SAFE) agreement giving OpenAI future equity stakes. The deal reportedly applies to startups in YC’s spring and summer 2026 batches.
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The proposal reflects a growing Silicon Valley trend where AI compute power is increasingly being treated like venture capital. Instead of investing money directly, companies are offering cloud credits, AI tokens and infrastructure access. Some analysts described the move as “compute-for-equity,” signaling a new startup funding model.
Critics warned founders that giving up equity for tokens rather than cash could weaken long-term company ownership. Investor Jason Calacanis cautioned startups to “be careful,” arguing that OpenAI could gain visibility into emerging startup ideas and potentially compete with them directly. Others questioned whether API credits should be valued the same as traditional investment capital.
Some founders and online critics argued that the offer could tie startups too closely to OpenAI’s ecosystem. If startups build products heavily dependent on OpenAI models, switching providers later could become difficult and expensive. Reddit discussions compared the strategy to earlier cloud-computing credit programs used by Amazon and Google to secure long-term customers.
Supporters said AI startups already spend enormous amounts on model usage and infrastructure. Some founders argued the tokens could significantly reduce operational costs during the early stages of development. Others viewed the offer as a practical solution in a tighter venture capital environment where startups are trying to remain lean while scaling AI products.
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The proposal also reflects the rise of “tokenmaxxing,” a term used in startup circles to describe prioritizing AI compute resources over hiring larger teams. AI companies are increasingly operating with smaller workforces, high automation and heavy spending on interface and model costs. Analysts say this could reshape traditional startup economics and venture funding models.
Altman’s proposal highlights how artificial intelligence is rapidly changing not only technology products but also the structure of startup financing itself. As AI infrastructure becomes more valuable, debates over equity, platform dependence and founder independence are likely to grow across Silicon Valley.