Sam Altman offers every YC startup $2M in OpenAI tokens for equity
At a YC event, Sam Altman said OpenAI would invest across the class with $2 million in API tokens per startup, trading usage for cap table.
By Ryan Merket ·
Why it matters
Turning API usage into an investment instrument could reshape early AI financings. If OpenAI can buy cap table slots with tokens, it may lock in a cohort of YC founders and pressure rivals to answer with their own credit-for-equity offers.
Sam Altman (@sama) told founders he would have @OpenAI invest in every startup in the current @ycombinator class with $2 million worth of OpenAI tokens in exchange for equity, a move TechCrunch reported from a YC event on Tuesday night. YC partner Tyler Bosmeny (@bosmeny) called it a "mic drop moment," according to the report. Altman also posted about the offer in a post on X.
What Altman actually offered
Per TechCrunch, the proposal is simple on its face: each startup can take $2 million worth of OpenAI tokens the team can spend to build product, in return for equity in the company. It is not cash; it is usage. For AI-first teams burning capital on inference and fine-tuning, $2 million of model access can be months of runway and a chance to ship faster.
What founders heard in the room
Founders in a batch are used to discounts and credits. This is different. Altman is offering to convert consumption into ownership. It reads like a bet that OpenAI can be both your core infrastructure and a cap table partner from day one. It also signals that Altman is willing to compete with cash investors on the only currency many AI startups value more than dollars right now: compute and model access.
The strategic angle for OpenAI
If even a fraction of a YC class takes the deal, @OpenAI deepens its lock-in with a generation of founders, the way cloud credits did for AWS and GCP. The more code paths and customer workflows that depend on OpenAI models early, the harder it is to rip and replace later. The upside for Altman is not the markups on API usage; it is long-term distribution, data flywheels, and optionality to support breakout companies with more capital later.
Open questions founders will ask next
The headline number is big, but the terms will decide whether this is a no-brainer or a pass. Expect founders and their counsel to focus on:
- How the equity is priced for non-cash consideration, and whether the "$2 million" is list-rate tokens or negotiated usage.
- Whether there are MFN, pro rata, or exclusivity commitments tied to the tokens.
- Any constraints on model choice, data usage, or ability to switch to competitors for certain workloads.
- How the tokens are delivered (credits, prepay, or a spend cap) and what happens if pricing changes.
YC companies have taken infrastructure credits for years. This is the first high-profile attempt to make credits a primary investment instrument across an entire batch. Founders will compare it to a standard pre-seed check on dilution, speed to close, and signaling. If the paperwork is lightweight and the tokens spend like cash on real workloads, many teams will likely opt in. If strings appear around vendor lock-in or governance, some will wait for traditional capital.
The bottom line
Altman is making an aggressive, founder-friendly pitch: trade some equity for a longer runway on the exact resource you need to ship. The move fits the moment, where access to cutting-edge models is often the gating factor for an early AI company. Whether it becomes a template for other platform providers will depend on how the details shake out when term sheets hit inboxes.