Google Pushes Deeper Into Enterprise AI With New Chips and Agent Tools

Apr 22, 2026

Google used its Cloud Next conference in Las Vegas to unveil a wider push into enterprise AI, including new generative AI features for its mapping and geospatial tools, new AI agent capabilities for businesses, and two custom chips designed to help customers build and run AI systems.
The company said it is splitting its AI chip strategy into two lines: one chip for training AI models and another for running them, also known as inference. Google said the new chips are meant to offer cost advantages and improved storage functions, as it looks to challenge Nvidia’s dominance in AI hardware.
Alphabet CEO Sundar Pichai also highlighted AI agents as a key part of Google’s plan to make money from artificial intelligence. The company is positioning these digital assistants as a central part of its enterprise software strategy.
Google also said that 75% of its new code is now AI-generated, showing how deeply it is using AI inside its own operations. Separately, reports said a startup founded by former OpenAI executive Mira Murati signed a multi-billion-dollar agreement to expand its use of Google Cloud’s AI infrastructure.

What did Google announce at its Cloud conference?

Google announced new AI tools for enterprise customers, including generative AI features for Maps and geospatial apps, AI agents for businesses, and two custom chips for AI training and inference.

Why are Google’s new chips important?

They are part of Google’s effort to offer its own AI hardware as an alternative to Nvidia’s chips, while aiming for lower costs and better efficiency.

What are AI agents?

AI agents are digital assistants that can help do tasks for users or businesses with less human input.

What does Google’s code statistic mean for investors?

Google said 75% of its new code is AI-generated, which suggests the company is using AI heavily in its own product development and operations.

Sources
Google Maps is about to get a big dose of AI
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Google unveils chips for AI training and inference in latest shot at Nvidia.
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After years of producing chips that can both train artificial intelligence models and handle inference work, Google is separating those tasks into distinct processors, its latest effort to take on Nvidia in AI hardware. CNBC's MacKenzie Sigalos has more.
Google Accelerates Agentic AI Shift With New Enterprise Platform
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Alphabet unveiled new AI chips ahead of Google Cloud Next, continuing its effort to reduce costs and compete with Nvidia in AI infrastructure.
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Google doesn't pay the Nvidia tax. Its new TPUs explain why.
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Every frontier AI lab right now is rationing two things: electricity and compute. Most of them buy their compute for model training from the same supplier, at the steep gross margins that have turned Nvidia into one of the most valuable companies in the world.
Google Cloud launches two new AI chips to compete with Nvidia
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Google Cloud on Wednesday announced that its eighth generation of custom-built AI chips, or tensor processing units (TPUs), will be split in two. One chip, named the TPU 8t, will be geared for model training and another, the TPU 8i, is aimed at inference.
Google Cloud pushes one-stop shop with new platform, agents and chips
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CNBC's MacKenzie Sigalos reports on news regarding Google Cloud.
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Google Cloud Debuts New AI Chips | Bloomberg Tech 4/22/2026
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