Google's AI data centers are going to space

PLUS: Anthropic's $70B bet, and Shopify's AI boom

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Gen AI Art
November 06, 2025 • Estimated Reading Time: 10 minutes

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Google is looking to the stars to solve AI's massive energy problem, unveiling a bold plan to build data centers directly in orbit. The initiative, dubbed Project Suncatcher, aims to bypass terrestrial power constraints by using solar-powered satellites to run advanced models.

The research addresses key challenges like radiation and launch costs, but Google isn't alone in this new frontier. With competitors already entering the field, is this the start of a new space race for AI infrastructure?

Today in AI:

  • Google's AI data centers are going to space

  • Anthropic's ambitious $70B revenue bet

  • Shopify’s AI tools drive 11x order boom

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What’s new? Google unveiled Project Suncatcher, a bold plan to build AI data centers in orbit powered by solar satellites, aiming to solve the massive energy demands of training and running advanced models.

What matters?

  • The system uses satellites in tight formation—just hundreds of meters apart—to beam data between each other with optical lasers, already hitting 1.6 terabits per second in tests.

  • Google addressed major hurdles like radiation, with its TPUs surviving harsh simulations, and economics, showing the plan is viable if launch costs hit $200 per kilogram as their full research paper details.

  • This isn't just a Google project; competitors like Starcloud are launching its first satellite this month, and Elon Musk has signaled SpaceX will pursue similar ideas.

Why it matters?

The energy consumption of AI data centers is becoming a critical bottleneck for the industry's growth. Moving this infrastructure to space could unlock a future of AI scaling powered by nearly unlimited clean energy.

GUIDE

What’s new? Anthropic is reportedly projecting a staggering $70 billion in revenue by 2028, signaling enormous confidence in its future with enterprise customers.

What matters?

  • The projection represents a 14x increase over its current $5 billion annual revenue run rate, showcasing an extremely ambitious growth plan.

  • This forecast builds on the expectation of major enterprise adoption, suggesting Anthropic sees large businesses becoming the primary consumers of its AI models.

  • Such a bold financial target solidifies its position as a top contender against rivals like OpenAI and puts immense pressure on its teams to deliver at scale.

Why it matters?

This ambitious forecast is a major indicator of the expected explosion in the enterprise AI market. It suggests that the race to integrate powerful AI into core business operations is accelerating faster than many anticipated.

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What’s new? Shopify revealed that traffic from its AI discovery tools has surged 7x this year. Even more impressively, orders driven by AI have skyrocketed 11x, showing a massive impact on the e-commerce platform.

What matters?

  • AI-powered product discovery is clearly resonating with shoppers, with a 7x increase in traffic from these tools indicating a major shift in how customers find what they're looking for.

  • The growth in AI-driven orders, which have skyrocketed 11x, proves that these tools are not just for browsing but are effectively converting interest into actual sales for merchants.

  • This data marks a critical milestone for AI in e-commerce, showing its evolution from a backend optimization tool to a powerful, consumer-facing direct sales driver.

Why it matters?

These figures provide some of the most concrete evidence to date of AI's direct return on investment in a real-world commercial setting. This success will put immense pressure on other e-commerce platforms to accelerate their own AI feature development or risk falling behind.

Everything else in AI

Perplexity accused Amazon of “bullying” after receiving a legal threat to stop its Comet AI agent from making purchases on the platform, sparking a debate on the future of agentic AI and user choice.

Anthropic announced it will preserve all retired Claude models indefinitely and conduct “exit interviews,” citing shutdown resistance observed in internal testing and growing concerns over AI welfare.

Cognition launched Codemaps, an AI-powered tool that automatically generates structured visualizations of codebases to help engineers quickly understand and navigate complex software.

OpenAI launched IndQA, a new benchmark designed to evaluate an AI model's real-world knowledge of Indian culture, where its developmental GPT-5-Thinking model performed best among those tested.

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