Google has made its affordable AI subscription plans more budget-friendly, bringing the price wars erupting in emerging markets squarely to U.S. consumers.
The company announced Monday that it is cutting the monthly price of Google AI Plus from $7.99 to $4.99, while doubling the storage included in that tier from 200 gigabytes to 400 gigabytes.
Vikas Kansal, product lead for Gemini AI subscriptions, told X that the storage update will be rolled out to users over the next few days.
Google AI Plus launched in January as the most affordable paid AI subscription on the U.S. market, aimed at individual users and students rather than business customers. Apparently it wasn’t cheap enough.
It also includes a great feature set, including video generation with Omni Flash. Creative Studio Google Flow. and NotebookLM, Google’s AI research assistant. For heavier users, Google also offers AI Pro and AI Ultra at higher prices and usage limits.
There’s a reason for this price drop that goes beyond Google’s own product roadmap, and it’s worth indexing. Subscription pricing isn’t yet a major battleground among U.S. AI providers, but that’s changing in real time, suggests Chihua Qian, co-founder and managing partner of consumer-focused venture firm Goodwater Capital. He viewed Monday’s announcement as the next salvo in the age of commoditization of AI infrastructure, noting that Google’s structural advantages such as vertical integration, decentralization, and bundling capabilities are exactly the kinds of forces that can erode the margins of pure AI providers over time.
The historical parallels he reaches are instructive. “If you look at the web era, the infrastructure companies were Microsoft, Cisco, Oracle, Northern Telecom, Lucent, Akamai, Equinix,” he told TechCrunch. “A lot of those companies have been around for a while, but they’re not worth much today.” He said that’s because every time there’s a big technology shift from PC to web to mobile, infrastructure players “commoditize very aggressively, because the end customer doesn’t think, ‘Oh, my bits are running on Cisco networking gear?'” They’re just thinking, ‘How can I move bits as cheaply as possible?’ ”
He sees a similar movement coming to today’s AI infrastructure layers, including frontier model providers themselves, in the not-too-distant future.
“My prediction for a lot of these infrastructure companies, by infrastructure, whether it’s OpenAI or Anthropic or backend components, energy, chips, hosting, there will come a time when these companies will have value,” he said. “But over time, they will become more and more commoditized.”
That’s definitely something more investors will be pondering soon. Both OpenAI and Anthropic have secretly filed to go public, and their ability to achieve premium valuations may soon be tested by the kind of price competition Chien describes.
In markets like India, which has one of the fastest growing AI user bases in the world, this competition has been going on for nearly a year. OpenAI conducted its first blood draw there last August, launching ChatGPT Go for about $4.60 per month. This is part of the standard $20 Plus plan. Google followed suit in December with its own sub-$5 AI Plus plan for users in India.
Monday’s announcement suggests that the same logic that drove these moves in emerging markets — cutting, bundling and acquiring users before rivals — is now reaching the U.S. market.
Notably, anthropology has not followed suit. Unlike OpenAI and Google, the company has not yet introduced localized pricing or lower price points for India, a move that could become more difficult to avoid as rivals continue to lower prices.
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