Google I/O: Google's Next Big AI Bets in the Post-GPU Era

$Alphabet(GOOGL)$   Google is set to hold its I/O conference on May 19, 2026.

In previous years, the I/O conference has consistently served as Google's premier showcase for unveiling new products. At the 2025 event, Google released the Gemini 2.5 series of models along with its seventh-generation TPU, Ironwood. Earlier this April, at the Cloud Next conference, Google already unveiled the eighth-generation TPUs 8t/8i (codenamed Sunfish/Zebrafish), marking the first time it has separated training and inference into two completely independent architectures. Since I/O focuses more on consumers and developers, Google is likely to introduce the cost and performance metrics of running Agent tasks on TPUs. Beyond that, the market is eagerly anticipating the latest iteration of Gemini.

Models

Although the specific new models to be announced at I/O haven't been explicitly confirmed, the real question is whether the new Gemini model becomes the single system that connects video, images, reasoning, audio, and web actions together. Currently, the evolution of large models is driven by several key directions: faster speeds, lower costs, stronger visual generation capabilities, and long-horizon task execution. Google's models have historically excelled in visual generation. The next generation is expected to solidify Gemini's position in image and video generation, potentially boosting user conversion and payment rates.

Meanwhile, investors will be watching closely to see how ads are embedded into AI Search, the monetization of commercial queries, and the impact of AI Overviews on CPC (Cost Per Click). The market has already begun studying the impact of AI Overviews on publisher traffic, and Google may address questions regarding AI search monetization.

Furthermore, Gemini has previously lacked real-world agent application scenarios. Bridging this gap is crucial for catching up with ChatGPT and Claude models. Google is accelerating the deep integration of agent capabilities, such as Project Astra and Project Mariner, into its ecosystem. Accordingly, attention will be on whether its coding and reasoning benchmarks show improvement.

Hardware

The TPU 8 (8t+8i) is expected to mark a turning point for Google as it shifts from cloud leasing to direct hardware sales, signaling an upgrade in its business model. I/O might further showcase its application within Gemini, Vertex AI, or Google Cloud's supercomputing clusters. In the first quarter of this year, Google disclosed for the first time that it had delivered TPUs to a group of clients in the form of hardware configurations, with relevant agreements already reflected in its $462 billion backlog. CFO Anat Ashkenazi stated that a small portion of TPU sales revenue will begin to be recognized in the second half of 2026, with the majority expected in 2027. Google's Q1 report previously showed its cloud business growing at the fastest rate among major cloud giants. Supplying TPUs externally will open up another high-growth market opportunity.

Additionally, improvements in TPU performance and reduced latency will lower the cost of training Google's models and significantly accelerate training speeds. In contrast, OpenAI and Anthropic currently remain entirely dependent on external suppliers for their chips. Alphabet's full-stack AI capabilities and massive user base will give it a distinct cost advantage and supply chain security.

Whether $Broadcom (AVGO.US)$ continues to benefit is another key point of interest for the US stock market. Broadcom is Google's core ASIC partner for TPUs. If I/O or subsequent technical sessions emphasize TPU deployment, Gemini TPU scaling, or inference expansion, the market will typically interpret this as a continued strengthening of demand for Broadcom's AI ASICs.

Overall, investors will be focused on whether Google can reclaim AI technical leadership, and whether its AI can begin to achieve commercialization at both the software and hardware levels. Over the past two years, OpenAI and Anthropic have hijacked the narrative. I/O is a critical milestone for Google to win back mindshare in the AI space.

@TigerStars  @CaptainTiger  @TigerWire  @Daily_Discussion  @Tiger_chat  @Tiger_comments  @MillionaireTiger