A recent Bloomberg‑backed profile argues that Google — long viewed by many as falling behind in the AI arms race — has now re‑emerged as a formidable contender. The company’s new multipurpose model, Gemini 3, has earned praise for its strong reasoning, coding, and general‑purpose capabilities — prompting analysts to call Google a “sleeping giant that is now fully awake.”
Part of Google’s comeback rests on its vertically integrated “full‑stack” approach: it controls not only AI software, but also cloud infrastructure, custom chips (TPUs), and massive troves of data from its search engine, Android ecosystem, and YouTube. This stack gives it advantages in efficiency and long-term scalability that many other firms — reliant on third‑party hardware or external data sources — struggle to match.
The resurgence is also being validated in the markets: the parent company Alphabet is now on the verge of reaching a nearly $4 trillion market capitalization, a milestone that underscores investor confidence in its AI‑driven growth strategy.
That said — while Google appears to have regained momentum — some challenges remain. Its cloud revenue still lags behind top rivals; and despite strong tech credentials, enterprise adoption and real‑world deployment of its AI remains uneven. As one analyst put it: yes, Google is back in the game — but winning will still demand execution, regulatory navigation, and sustained innovation.
