You can now give Gemini 'Extended' thinking time to answer your query

Google is rolling out a new "Thinking level" feature in the Gemini app, letting users choose between "Standard" and "Extended" reasoning for Fast and Pro models. The company also appears set to add Canva, Instacart, and OpenTable integrations soon, expanding Gemini’s utility across design, shopping, and restaurant booking. The changes are positive for Gemini’s product momentum, but the rollout is gradual and not yet broadly available.

Analysis

This is less about a single feature release and more about Google shifting Gemini from a generic chatbot into a higher-frequency transaction layer. The integrations matter because they move the product closer to workflow capture, which is the prerequisite for monetization beyond ads and subscription fees; if users start executing shopping, reservations, and creative tasks inside Gemini, Google can raise switching costs without needing a step-change in model quality. The “thinking level” control is also a subtle product defense: it lets Google segment latency and inference cost by task, which can improve margin while making the product feel more adaptable to power users.

Second-order, the biggest competitive pressure is not on frontier-model benchmarks but on adjacent assistants and vertical SaaS. OpenTable- and Instacart-like workflows inside Gemini threaten the incremental discovery layer that normally accrues to search results, app stores, and standalone consumer apps; over time, that shifts value from intent acquisition to intent execution. The near-term beneficiary is clearly GOOGL, but the longer-term winner may be the ecosystem of merchants and service providers that plug into Gemini early, because distribution inside a default assistant can become cheaper than paid acquisition.

The main risk is execution and trust: if agentic actions are even slightly unreliable, users will sample but not routinize the behavior, which turns this into a headline event rather than a usage inflection. The relevant horizon is months, not days; I/O can re-rate expectations, but retention and monetization will be judged by whether these integrations materially lift daily active use by Q3/Q4. A second risk is regulatory scrutiny if Google appears to preference its own interface over third-party discovery paths, which could invite remedies that slow product rollout or cap default placement advantages.

The market may be underestimating the cost discipline angle. If Gemini can dynamically route lightweight queries to “standard” and reserve “extended” reasoning for high-value prompts, Google can expand engagement without linearly expanding inference cost, which supports gross margin resilience as AI usage scales. That makes this a better long-duration compounder setup than a pure product-launch trade, especially if the company can show that richer usage does not destroy economics.

Key Decisions for Investors

• Add/maintain a tactical long in GOOGL into I/O, with a 1-3 month horizon; upside comes from multiple expansion if Gemini is framed as an execution platform, while downside is limited by the company’s low perceived AI monetization bar.
• Buy GOOGL call spreads 1-2 expiries out to capture event-driven upside while limiting premium burn; best risk/reward if management signals meaningful usage or revenue path from assistant integrations.
• Pair trade: long GOOGL / short a basket of assistant-exposed consumer internet names with high intent-acquisition dependence; thesis is that embedded execution inside Gemini compresses referral value over 6-12 months.
• If post-I/O commentary emphasizes reliability gaps rather than usage growth, fade the move and reduce GOOGL exposure on any post-event pop; this is a product adoption story, not a one-day sentiment trade.
• Monitor for partner announcements in vertical workflows; if third-party integrations broaden quickly, consider increasing the long because network effects and switching costs would likely compound into 2026.