AI price hikes loom as Anthropic and OpenAI eye IPOs

The first signs of an AI price squeeze are showing up where businesses feel it fastest: coding tools, cloud usage, and enterprise contracts. Microsoft’s recent GitHub Copilot pricing changes were so sharp that one Reddit user coined a new word for the bill shock, “Tokenpocalypse,” a shorthand for what many customers fear next as leading AI vendors push toward public markets.

That pressure is growing as Anthropic and OpenAI move closer to Wall Street scrutiny. Anthropic confidentially filed its IPO prospectus with the SEC, and Reuters reported that the company filed for a U.S. initial public offering, edging ahead of OpenAI in the race to reach public markets. Forbes has noted that once AI companies are public, investors will judge them more directly on profitability, revenue growth, and margins, not just technical breakthroughs.

For customers, that can mean less room for discounting and more incentive for vendors to squeeze more revenue out of the same products. TechCrunch reported that the transition to token-based billing in 2026 has made AI costs far more visible to enterprise users, and companies are beginning to balk at the expense. Uber, for example, reportedly blew through its entire 2026 AI coding budget by April, a sign that usage-based pricing can race far ahead of forecasts.

The products most exposed are the ones companies now depend on to write code, automate support, and power internal workflows. Microsoft, Anthropic, and OpenAI all sit at the center of that market, and each has growing leverage because businesses that have already built operations around their systems may face high switching costs. That leaves customers with a familiar problem: the nominal choice of vendor, but few practical alternatives that offer the same scale, integration, or performance at a lower price.

The broader economic pattern is easy to recognize. The Richmond Fed said in August 2025 that tariff effects can be complex and protracted, with pass-through to prices shaped by competition and uncertainty. The San Francisco Fed estimated in May 2025 that a fully passed-through across-the-board 25% tariff could raise near-term prices about 9.5% for investment goods and 2.2% for consumption goods. AI price hikes are not tariffs, but the market effect can look similar: a one-time increase in the cost base that businesses and consumers experience as a steady climb when vendors with pricing power pass it along.

As Anthropic, OpenAI, and their rivals prepare for public-market pressure, the question is no longer whether AI will get cheaper through scale. It is who will pay more first, how fast the increases spread, and how many customers discover they are already locked into the most expensive ecosystem in the room.