This week, Google lowered the price of its entry-level AI subscription from $7.99 to $4.99 per month. Reuters reported that OpenAI is considering a significant reduction in AI access fees in anticipation of a similar move by Anthropic.
Price war is real, and it’s just reaching American consumers. TechCrunch reports that Google’s move will directly bring the price competition that has been heating up in emerging markets to the US.Google also lowered its top-tier plan from $250 to $200 per month at last month’s I/O conference.
The meta is moving in the opposite direction. According to CNBC, the company first began testing AI paid subscriptions last month, with plans ranging from $7.99 to $19.99 per month.
AI companies spent two years competing on the performance of their models. Now they are competing on price. The change reflects a harsher reality: subscriber growth is slowing and companies are spending more cautiously.
Subsidy for heavy users
Lowering consumer prices goes hand in hand with structural problems. Anthropic’s $200 Claude Code plan gives developers 20x more usage than the base level. Finout found that power users on its plans can access between $600 and $1,500 worth of API-priced compute for a flat monthly fee. AI companies are lowering prices at the consumer level while absorbing the costs of mass usage.
Meta’s entry into paid subscriptions further sharpens the competitive landscape. The company has spent 20 years building an ad-supported free access model. Testing of the paid AI tier shows that even Meta believes there are limits to what advertising alone can fund. PYMNTS reports that Meta is also considering a $199.99 premium tier for its Hatch AI agent, which would put the company at the top of the market alongside Anthropic and OpenAI.
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PYMNTS Intelligence found that more than 6 in 10 U.S. consumers have used a dedicated AI platform in the past year. Among Gen Z and power users, reliance on dedicated AI platforms as the first stop for daily tasks increased by 36% and 28%, respectively, in one month. This acceleration in usage is what makes it difficult to maintain flat rates for consumers.
Nick Turley, head of ChatGPT at OpenAI, told Business Insider that the era of unlimited AI may not last. “There is no world in which pricing will not evolve significantly,” he says. Subscription reductions do not reduce the cost of computing on flat-rate plans.
The company is going against the grain.
The consumer pricing story is in direct opposition to what’s happening in enterprise AI. According to a report by The Next Web, the price per token has fallen by about 98% since 2022. Enterprise AI billings increased an estimated 320% over the same period. The reason is volume. Agentic AI tools double the number of compute units consumed by a single task. According to the report, a simple interaction that cost about $0.04 in 2023 will cost about $1.20 with today’s agent systems.
PYMNTS reported that Uber’s CTO said the company’s AI coding budget was being used up much faster than planned. About 11% of live updates to Uber’s backend systems are now written by AI agents, up from just a few percent three months ago.
TechCrunch reports that Microsoft withdrew its AI coding license months after rolling it out, and JR Storment, executive director of the FinOps Foundation, said in April that he started hearing from companies that were already three times over their full-year AI budgets. One unnamed company racked up $500 million in AI bills in one month after failing to set usage limits.
The difference in the price of consumer and enterprise AI points to the same fundamental problem. This means that usage is increasing faster than economic conditions are improving. On the consumer side, companies are lowering prices to increase subscribers while absorbing the costs of heavy users. On the enterprise side, companies that used to treat AI spending like flat-rate software are finding that their AI bill is now like a utility bill.
