Google AI Labs rolls out new Gemini and AI Mode experiments

Microsoft’s Copilot‑powered “PC Insights” feature is entering a gradual rollout in Windows 11, letting users query real‑time hardware data while keeping personal files out of AI training sets [1].

Expanding the experiment portfolio

Google’s internal “Labs” site now lists a suite of AI experiments that have moved beyond prototype to public preview. The flagship Gemini assistant, described as a “universal AI assistant” that handles text, images and code, debuted in 2023 and now powers features across Search, Chrome, Gmail and Android [5]. Building on Gemini, the AI Mode in Search—launched experimentally in 2025—lets users pose complex, multimodal queries and receive richer answers than a standard search page [5]. Both tools are hosted on the Google Labs portal, which invites users to test early versions and provide feedback [3].

Positioning against rivals

Microsoft’s recent “PC Insights” adds AI‑driven diagnostics to Windows 11, but it remains a hardware‑focused, opt‑in feature that does not automatically resolve issues [1]. In contrast, Google’s experiments aim at broader consumer and developer experiences, from personal assistance (Gemini) to enhanced search (AI Mode) and developer‑centric environments like Gemini API and Google AI Studio [5]. The shift mirrors a market trend where AI is being embedded into core product experiences rather than isolated diagnostics. While Microsoft’s rollout is incremental and limited to a subset of Windows users, Google’s public Labs platform offers immediate access to multiple experiments, potentially accelerating adoption and feedback loops.

What to watch

• Rollout milestones – Track when AI Mode graduates from experimental Labs to default Search, as Google has not announced a full release date.
• Developer uptake – Monitor usage of Gemini API and Google AI Studio (launched 2024) for third‑party app integration, which could signal broader ecosystem adoption.
• Competitive response – Watch for Microsoft’s next Copilot update that might extend AI diagnostics beyond hardware into software productivity, directly competing with Google’s Gemini‑driven productivity tools.

Google’s AI Labs strategy underscores a push to embed generative AI across its product stack, turning experimental features into everyday utilities. The open question remains whether the breadth of these experiments will translate into sustained user engagement or remain limited to early‑adopter niches.