Will Google I/O 2026 Launch Gemini 4.0? Markets Eye AI Monetization as Alphabet Seeks to Refresh Its AI Narrative

Analysis points out that, following the release cycle of approximately 3-4 months for Gemini models, this I/O conference may see the debut of Gemini 3.2 or 3.5, or possibly Gemini 4.0, though the likelihood of the latter is lower.

Some analysis suggests that Gemini will be the centerpiece of this conference. During "The Android Show | I/O Edition 2026," a dedicated event for the Android ecosystem held by Google on May 13, officials emphasized Gemini integration throughout the session. For instance, the newly introduced Gemini Intelligence integrates Android hardware and software; Google plans to launch Gemini Intelligence this summer, debuting on the latest Samsung Galaxy and Google Pixel phones before expanding to other Android ecosystem devices such as watches, cars, and glasses. Gemini in Chrome is set to arrive on Chrome for Android in late June, and Google's new laptop, the Googlebook, also features an experience built upon Chromebook and Gemini Intelligence.

This I/O conference is expected to feature an even higher "Gemini concentration." Investors should monitor whether the Gemini ecosystem continues to expand into specialized areas such as the interactive world model Genie 3, the open-source and on-device large model Gemma 4, and the embodied AI model Gemini Robotics ER-1.6. Following Gmail and Maps, it remains to be seen whether Gemini will accelerate its penetration into more core services, scenarios, and workflow tools. Additionally, given Gemini's integration with the Android ecosystem, any progress regarding its role as an operating layer warrants attention.

Data shows that as of the end of the first quarter of 2026, paid subscribers for Google services reached 350 million, with growth primarily driven by YouTube Premium and Google One. The Google One premium plan already includes access to Gemini Advanced, reflecting strong market demand for cloud storage services integrated with AI capabilities. On the enterprise side, paid monthly active users for Gemini Enterprise grew 40% quarter-over-quarter. It is worth monitoring whether Gemini features can continue to drive Google’s revenue through service subscription channels.

Currently, search engines remain the core of Google's business. Prior to last year's I/O conference, widespread market concerns that AI chatbots would replace Google's search business caused its stock price to fall significantly. Since the beginning of this year, Google's performance has dispelled these market doubts, but this has also led to higher expectations: How will Google's AI serve search? Can the integration of Google AI and search reshape the advertising system and increase ad revenue?

Google has already demonstrated to the market that AI chatbots cannot replace Google Search, with the latter even maintaining a formidable edge. Google possesses the world's largest real-time web index and Knowledge Graph, offering more authoritative information retrieval capabilities than AI chatbots, while also controlling dominant traffic gateways such as the Chrome browser and the Android operating system.

Its Q1 2026 earnings report shows that Google's Search and other business revenue increased 19.1% year-over-year to $60.399 billion. CEO Sundar Pichai stated that the new AI search experience powered by Gemini has driven total global search volume to record highs. In April this year, Google's global search engine market share stood at 90.0%, up 10 basis points month-over-month, while Chrome's browser market share reached 68.0%, up 130 basis points. As these gateways continue to expand, the foundation for the commercialization of AI search will become even more solid.

As Google integrates AI Overviews (AI-O), AI Mode (AI-M), and Gemini into its search engine, its advertising performance has also improved. Traditional search has a lower conversion rate for commercial intent, with approximately 20% of queries having commercial attributes. Google management noted that longer, more complex queries from AI-O, AI-M, and Gemini provide more intent-based data, capable of converting ordinary searches into high-value commercial scenarios. This improves ad conversion rates and raises the ceiling for search advertising. For advertisers, conversion rate is the top priority. This evolution of Google Search is expected to solidify advertiser stickiness and generate stable, long-term advertising revenue.

Regarding advertising, the AI Max system is expected to fully replace traditional Dynamic Search Ads (DSA) by September this year, signaling Google's definitive departure from keyword-oriented advertising toward an automation and AI-driven model. Simply put, AI Max will leverage Gemini models to interpret real-time user intent signals, enabling precise real-time matching. This shift will reshape the advertising landscape and is expected to enhance click-through and conversion rates, driving sustained growth in advertising revenue.

Google also holds a significant identity as a hyperscale cloud service provider, with Google Cloud now serving as its secondary growth engine. Key interest lies in which products Google will launch at this conference to further solidify its position in the cloud industry. The Google Cloud product portfolio warrants close attention, including Gemini Code Assist, Vertex AI Agent Builder, and Model Garden, as well as the "vibe coding" tools in Google AI Studio that integrate seamlessly with Google Cloud. Furthermore, focus should remain on the TPU sales strategy: whether revenue will be generated via Google Cloud or if it will open its TPU software stack to attract AI enterprises from outside the Google ecosystem.

In a recent research report, Citi analyst Ronald Josey noted that as Gemini models remain at the frontier, AI tools are driving global query growth, and UCP is transforming commerce. Google Cloud's backlog nearly doubled quarter-over-quarter to $462 billion. He maintains a "Buy" rating and a $447 price target. This target is approximately 30 times the projected 2027 GAAP EPS of $14.75; however, with the current share price at about $400, or just 27 times EPS, Citi's valuation target remains above market levels, indicating a lingering gap between Google's AI progress and its objectives.

If the market pins its hopes for a valuation uplift on AI, it means Google must deliver a satisfactory performance at this Google I/O conference: not just a new version of Gemini, but a more detailed roadmap for AI commercialization and an updated AI narrative.

This content was translated using AI and reviewed for clarity. It is for informational purposes only.