Gemini app hits 950 million monthly users as Google's AI push accelerates

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Gemini app hits 950 million monthly users as Google's AI push accelerates

Synopsis

Google's Gemini app has hit 950 million monthly active users — with daily users tripling in a year — while AI Mode in Search crossed 1 billion MAUs and Google Cloud posted 82% revenue growth. Sundar Pichai's numbers make the clearest case yet that Google has converted its AI catch-up into a commanding scale advantage.

Key Takeaways

Gemini app has reached 950 million monthly active users , with daily active users tripling over the past year, according to Sundar Pichai .
AI Mode in Google Search has crossed 1 billion monthly active users globally since its rollout in October last year .
Google's AI APIs now process 22 billion tokens per minute , up from 16 billion the previous quarter.
Nearly 90% of Fortune 100 companies are using Gemini Enterprise ; Google Cloud revenue rose 82% year-on-year .
Google Cloud backlog stands at $514 billion , signalling strong multi-year revenue visibility.
Alphabet reported 24% year-on-year revenue growth , with AI cited as the primary driver across all business lines.

Google's Gemini app has crossed 950 million monthly active users (MAUs), with daily active users tripling over the past year, Alphabet Chief Executive Officer Sundar Pichai announced in a blog post on 23 July. The milestone underscores the breakneck pace at which Google is scaling its artificial intelligence offerings across both consumer and enterprise segments.

What Is Driving Gemini's Growth

Pichai attributed the surge to new AI-powered features, including Daily Brief — a personalised news and task digest — and Gemini Spark, a personalised assistant now available in the United States and several international markets. The combination of ambient utility and personalisation appears to be converting casual users into daily habits at a pace few AI products have managed.

Separately, Google's AI Mode in Search has crossed 1 billion monthly active users globally since its broader rollout in October last year. According to Pichai, the feature is not cannibalising the web — it is sending billions of clicks to websites every week, a data point Google has deployed to counter publisher concerns about AI-generated search results reducing referral traffic.

Model Expansion and Developer Adoption

Google has broadened its model portfolio with the launch of Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber, targeting developers who need speed and cost efficiency. Work on Gemini 4, the company's next-generation model, is already under way.

More than 9 million developers now build applications every month using Google's AI models. The company's application programming interfaces (APIs) are processing approximately 22 billion tokens per minute, up from 16 billion in the previous quarter — a 37.5% sequential jump that reflects the rapid scaling of third-party AI workloads on Google's infrastructure.

Enterprise Adoption and Cloud Revenue

On the enterprise front, nearly 90% of Fortune 100 companies are now using Gemini Enterprise, Pichai said. That penetration is feeding directly into Google Cloud, whose revenue surged 82% year-on-year. The Cloud backlog has grown to $514 billion, driven by rising demand for AI infrastructure and enterprise AI solutions — a figure that signals sustained, multi-year revenue visibility.

At the parent company level, Alphabet reported 24% year-on-year revenue growth, with Pichai crediting AI investments for reshaping its businesses across Search, YouTube, Cloud, and developer platforms. This comes amid intensifying competition from OpenAI, Microsoft, and Meta, all of whom are racing to capture enterprise and consumer AI spend.

What This Means for the AI Race

The 950 million MAU figure positions Gemini as one of the fastest-growing AI consumer products globally, trailing only ChatGPT in reported user scale. Notably, Google's advantage lies in distribution — Gemini is embedded across Android, Chrome, Gmail, and Workspace, giving it a structural reach that standalone AI apps must spend heavily to replicate.

With Gemini 4 in development and Cloud bookings at a record backlog, Google appears to be shifting from AI experimentation to AI monetisation at scale. The next test will be whether enterprise customers renew and expand — or consolidate around fewer AI vendors as the market matures.

Point of View

But the more telling figure is the token throughput jump — from 16 billion to 22 billion per minute in a single quarter. That is developer and enterprise demand compounding, not just consumer curiosity. Google's real moat is distribution: Gemini does not need to win a download battle when it ships inside Android and Workspace. The risk is complacency — OpenAI and Anthropic are closing the model-quality gap, and enterprise contracts are up for renewal. The $514 billion Cloud backlog buys time, but not indefinitely.
NationPress
23 Jul 2026

Frequently Asked Questions

How many monthly active users does the Gemini app have?
The Gemini app has reached 950 million monthly active users, with daily active users tripling over the past year, according to Alphabet CEO Sundar Pichai. The growth has been driven by features such as Daily Brief and the personalised Gemini Spark assistant.
What is Google AI Mode and how many users does it have?
Google AI Mode is an AI-powered Search experience that delivers generative answers within Google Search. It has crossed 1 billion monthly active users globally since its broader rollout in October last year, and Pichai says it is sending billions of clicks to websites every week.
How fast is Google Cloud growing?
Google Cloud revenue surged 82% year-on-year, with its backlog growing to $514 billion, driven by enterprise AI adoption. Nearly 90% of Fortune 100 companies are now using Gemini Enterprise.
What new AI models has Google launched?
Google has launched Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber, targeting developers seeking speed and cost efficiency. Work on Gemini 4, the company's next-generation model, has already begun.
How many developers are building on Google's AI platform?
More than 9 million developers build applications every month using Google's AI models. The company's APIs are processing approximately 22 billion tokens per minute, up from 16 billion in the previous quarter.
Nation Press
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