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The direction

Where the AI race is heading

AI competition is moving away from a single frontier race and toward control of the full path from model to deployed workflow. That shift is carried by model makers splitting into distinct lanes, by enterprise adoption being organized through implementation partners and embedded task execution, and by a widening contest over compute capacity from chips to cloud. What is particular now is that these layers are all moving at once, while regulation hardens into a near-term rollout condition beside them.

The move

What actors actually did

Google unveils Gemini 3.5 Flash, Microsoft and EY commit to billion-dollar global AI initiative

The past week saw major moves from both Google and Microsoft’s side of the AI competition. At its annual I/O event on May 20, Google presented Gemini 3.5 Flash, a new high-speed intelligence model, and previewed Gemini Omni, which will start with video generation and supports multiple modes of input. These launches place a spotlight on the rapid evolution of AI models and Google’s ongoing investment in increasing speed and flexibility.

Meanwhile, Microsoft, together with consulting giant EY, announced on May 21 a joint global initiative with more than $1 billion in investment. The partners aim to help enterprises scale up AI adoption, including co-developing industry-specific AI solutions and deploying Microsoft’s Copilot to all EY employees worldwide. This underscores Microsoft’s focus on embedding AI deeper into business services and operations.

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