Enterprise AI has crossed a structural threshold — not just in Silicon Valley, but across boardrooms from Frankfurt to Singapore. Autonomous AI agents are displacing the co-pilot model as the default paradigm for large organizations.1
Researchers at MIT Technology Review coined the term ABT — Autonomous Business Transformation — to describe what is happening. "Digital transformation was about moving from paper to software," wrote Surojit Chatterjee. "Co-pilot is about AI assisting in various human tasks. But ABT is something categorically different."1
The infrastructure race is global. Snowflake, Dell, and NVIDIA are competing to supply the platform layer — exascale storage, GPU-accelerated compute, and agentic control planes — that makes autonomous AI viable at production scale.
Snowflake's CoCo platform functions as a control plane for enterprise AI workflows, governing data, models, and applications from a single environment.2 Thomson Reuters, a company with operations across 100-plus countries, is among early adopters using it to accelerate AI deployment at scale.2
The technical barrier is architectural, not just computational. Existing enterprise stacks were built for human-operated, application-centric workflows. Agents operating at machine speed across multiple systems require a fundamentally different foundation.1
"Your existing tech stack was designed for human-operated, application-centric workflows," Chatterjee noted. "It needs to be reconsidered when the actor is an AI agent operating at machine speed across multiple systems simultaneously."1
Prasun Shah, in the same MIT analysis, framed AI agents as connective tissue — not a new stack layer but a cross-layer coordinator. "That is where the next battleground will be," Shah wrote.1
Hardware roadmaps extending to 2027–2028 AI chip generations signal sustained capital commitment from manufacturers serving markets from the US to South Korea to the Netherlands. The transition from assisted to autonomous AI is no longer a roadmap item. It is a procurement decision enterprises are making now.
Sources:
1 Surojit Chatterjee and Prasun Shah, MIT Technology Review, May 26, 2026
2 Snowflake, NewsEOD via finance.yahoo.com, June 2, 2026
