Google on Tuesday unveiled Gemini 3, its most advanced artificial intelligence model yet, positioning the upgrade not merely as a technological milestone but as a revenue-ready engine already embedded across core consumer and enterprise products. The launch signals Google’s push to show investors that AI innovation is moving beyond leaderboard bragging rights to immediate commercial impact.
Arriving 11 months after Gemini 2, the latest model extends Google’s effort to stay ahead in the global AI race. Executives highlighted Gemini 3’s top scores on major industry benchmarks but conceded that Wall Street is now more interested in monetisation than metrics—especially amid anxieties of a potential AI bubble.
CEO Sundar Pichai, describing Gemini 3 as “our most intelligent model”, stressed that unlike previous versions, the new model is live inside Google Search from day one. Earlier rollouts often took weeks or months to reach Google’s mass-use products.
Koray Kavukcuoglu, Google’s chief AI architect, said the company was “setting a new pace” by delivering the model directly into products used by millions. Paying subscribers of Google’s premium AI plan will now access Gemini 3 through AI Mode, which produces computer-generated answers to complex queries without the need for traditional web results.
This time, Google emphasised that Gemini 3 is not launching as a stand-alone model. It is already powering several revenue-generating tools across Search, Cloud and Workspace. Alphabet’s share price this year has been lifted largely by strong AI-driven performance from its cloud computing division.
Yet, amid intense competition from OpenAI and Anthropic, new AI releases have found it harder to stand out—unless something goes wrong, as seen earlier this year when Meta faced criticism for flaws in its AI model. Google is attempting to break that pattern by tying Gemini 3’s debut directly to concrete product improvements.
With enhancements in coding, reasoning and multi-step task execution, Google introduced a suite of new features:
Gemini Agent: A task-handling assistant capable of completing multi-step workflows such as sorting email inboxes or making travel bookings. The tool moves Google closer to AI chief Demis Hassabis’ long-term vision of a “universal assistant”, previously known internally as AlphaAssist.
A redesigned Gemini app: The app now returns results structured like full web pages—complete with visual and interactive elements. For instance, a request such as “create a Van Gogh gallery with life context for each piece” produces an on-demand curated interface. The move is likely to worry publishers who depend on search-driven traffic.
Antigravity for developers: Google previewed Antigravity, a software development platform where AI agents can independently plan and execute coding tasks. The company says this will significantly speed up enterprise workflows.
As Big Tech accelerates its AI deployments, the race is increasingly about who can turn cutting-edge models into sustainable earnings. With Gemini 3, Google is betting that deeper and faster integration across its product ecosystem will help it maintain its lead—and reassure investors that the AI boom still has room to grow.
