Agentic AI · OpenAI · Elon Musk · xAI · MIT Technology Review
Establishing AI and data sovereignty in the age of autonomous systems
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Key facts
- MIT Technology Review's authoritative overview of the 10 technologies, emerging trends, bold ideas, and powerful movements in AI in 2026
- According to Stanford’s 2026 AI Index, AI is sprinting, and they're struggling to keep up
- Data is a new currency; it’s the IP for many companies,” says Kevin Dallas, CEO of EDB, echoing a recurrent anxiety from customers
- This content was produced by Insights, the custom content arm of MIT Technology Review
Summary
When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later.” Feed your proprietary data into third-party AI models, and you will get powerful results. Now, with generative AI established in everyday business operations and sophisticated new agentic AI systems advancing every day, companies are reevaluating the terms of that deal. “Data is a new currency; it’s the IP for many companies,” says Kevin Dallas, CEO of EDB, echoing a recurrent anxiety from customers. That question is now fueling a movement toward reclaiming both the data and AI systems that have rapidly become part of core business infrastructure. This report explores how enterprises are pursuing sovereignty over their models and data estates in an era of rapid AI adoption.