Microsoft's GitHub Copilot is moving away from its flat-rate pricing model in favor of charging users per token — a shift significant enough that one Reddit user reported their company has taken to calling it the "Tokenpocalypse." The pricing change, discussed on the latest episode of TechCrunch's Equity podcast by hosts Kirsten Korosec, Sean O'Kane, and Anthony Ha, signals potential turbulence for the broader AI ecosystem as companies wrestle with the true cost of building and running large language models. The discussion centers on a fundamental economic reality: the AI industry has been propped up by massive investor subsidies, masking the enormous expense of providing these tools. As costs begin getting passed to end users, behavior is likely to shift in unpredictable and potentially painful ways. Korosec pointed to the whiplash-inducing speed of the market, noting that companies only recently became obsessed with "tokenmaxxxing" — maximizing token usage — before abruptly turning against the practice once the bills arrived. With Anthropic and other AI labs preparing for public offerings, the hosts questioned how those companies will even document token-related risks in their S-1 filings, given that the landscape is shifting faster than regulators or investors can keep up with. O'Kane drew a parallel to Uber's experience, which in roughly six weeks went from burning through its AI budget far ahead of schedule to imposing internal usage caps and restrictions. That kind of rapid reversal, he suggested, is exactly the kind of risk factor that could dominate the disclosures of any AI company heading to market. He also raised a pointed question for the industry: whether AI labs can drive down costs and advance the technology fast enough to meet consumers' willingness to pay somewhere in the middle. The broader implication, Anthony Ha noted, is that the era of treating AI compute as essentially free is ending. Investors, customers, and companies that built strategies around subsidized pricing now face a reckoning as the true economics of AI catch up with the hype. Whether this transition results in a measured correction or something more disruptive — the "Tokenpocalypse," if you will — remains to be seen, but the pain of adjustment, all three hosts agreed, is coming one way or another.