Google unveils biggest update to Search in 25 years, including AI agents

Google unveiled an upgraded Search product with Gemini 3.5 Flash, expanded multimodal search, AI agents, and conversational AI features across Search and the Gemini app. The company also highlighted that AI is driving Search usage to all-time highs, with Q1 Search and other advertising revenue rising 19% year over year to $60.4 billion on total revenue of $109.9 billion. The launch strengthens Google’s core search franchise and reinforces its AI monetization strategy.

Analysis

This is less about a feature refresh and more about Google turning Search into a workflow layer. If the company can reliably convert intent into actions, it raises switching costs and improves monetization quality by capturing users earlier in the funnel, especially in high-consideration verticals like shopping, travel, recruiting, and local services. The second-order effect is defensive: a better AI-driven search experience makes it harder for standalone assistants and vertical AI apps to disintermediate Google at the point of discovery.

The key competitive risk is not query loss, but margin dilution from higher inference costs and product complexity. If agentic behavior meaningfully increases time spent and query count, that’s bullish for revenue, but if the company has to subsidize compute to preserve usage, operating leverage could lag the headline engagement narrative for several quarters. The near-term catalyst is product adoption data into the next 1-2 earnings prints; the medium-term catalyst is whether these tools lift commercial intent and conversion rather than just session length.

Consensus may be underestimating how this changes ad auction economics. More specific searches and embedded follow-up questions should improve intent quality, which can support CPCs and conversion rates even if raw clicks shift toward AI-native interfaces. The contrarian risk is that users increasingly trust Google to do the task rather than click through, which could compress publisher traffic and eventually trigger regulatory scrutiny if Google is seen as keeping more value inside its own walled garden.

Key Decisions for Investors

• Stay long GOOGL/GOOG into the next 1-2 quarters; the setup is favorable if product adoption data confirms AI-driven query growth and higher commercial intent. Risk/reward is asymmetric because downside from compute costs is likely slower than upside from monetization mix improvement.
• Buy GOOGL Jan-2026 calls or call spreads on any post-launch weakness; the market may underprice a 6-12 month re-rating if agentic search lifts conversion rates in shopping and local search. Limit downside to premium while keeping exposure to multiple expansion.
• Pair trade: long GOOGL / short a basket of standalone AI assistant names and search-adjacent disruptors. The thesis is that distribution plus data access matters more than model quality, and Google is using its installed base to defend share.
• Take a tactical short in high-quality publisher/traffic-exposed internet names on strength if Google adoption metrics accelerate; better search answers can reduce outbound clicks and pressure referral traffic over 3-9 months.
• Use earnings as the key catalyst checkpoint: if Search revenue growth stays high while capex/computing intensity is contained, add to longs; if AI engagement rises but monetization stalls, trim because the market will likely rotate from narrative to margin scrutiny.