MIT Technology Review is a technology publication owned by MIT that covers emerging technologies and their business and social impact. Recent coverage focuses on enterprise AI: it argues advantage is shifting from model choice to the serving harness and to cost per useful outcome; a survey of 300 executives found only 34% of agentic projects reach production; and a report projects $2.5 trillion in global AI investment in 2026. It also covered Ashburn outages and grid architecture, deaths near US-Mexico border surveillance towers, and the EmTech Future 2026 conference.
An MIT Technology Review Insights poll finds every surveyed organization uses AI, yet only 16% extract transformative value; 40% see moderate gains in specific tasks or teams and 23% see minimal or no returns. 38% are still piloting use cases, 35% use AI to assist employees, and only 12% have AI agents in production. Atlan co-founder Prukalpa Sankar says the missing piece is a business context layer.
MIT Technology Review reports that industrial digital twins are shifting from offline simulation to real-time, closed-loop "living" models, with AI and agentic AI letting plants act autonomously and self-adjust. AVEVA chief product officer Rob McGreevy likens these AI-infused twins to organisms that grow and evolve, improving visibility and orchestration while human control is retained.
MIT Technology Review argues that enterprise AI advantage now depends less on model choice and more on the serving harness—the engineering system around the model. As AI moves to production, delivering intelligence reliably, economically, and at scale becomes key, and architecture should be driven by workload constraints, not model benchmarks.
At MIT Technology Review’s EmTech Future conference, Vanguard’s Jing Wang discussed building a foundation for scalable AI in a highly regulated environment, emphasizing convergence of data, engineering, platforms, operating models, and governance, and how responsible implementation can turn AI capabilities into lasting value.
MIT Technology Review argues enterprise AI is shifting from isolated chatbot pilots to a foundational business layer, so the key metric becomes effective cost per useful outcome rather than token or GPU-hour prices. It compares bespoke stacks, on-demand consumption and integrated private platforms, with utilization as the central lever.
Stanford PhD student Samuel King used a generative AI model to propose genetic blueprints for microscopic viruses, not yet AI-generated life but possibly the next step. MIT Technology Review will livestream an interview with King by AI reporter James O'Donnell on Oct 16, discussing his work and his selection as an Innovators Under 35 honoree.
An MIT Technology Review report based on a survey of 300 executives finds that enterprise AI agents struggle to reach production due to a lack of organizational knowledge. On average only 34% of agentic projects make it to production, with data weaknesses, security and privacy concerns, and lack of knowledge as key obstacles. Firms with strong knowledge capabilities are more successful.
MIT Technology Review's EmTech Future 2026 conference focused on AI's intersection with biology, infrastructure, manufacturing, and science. Speakers including Google Research VP Yossi Matias explored how AI's greatest impact may come from convergence with other fields. The full program is now available on demand with a 20% subscriber discount.
A MIT Technology Review report says global AI investment is set to reach $2.5 trillion in 2026, up 44%, yet enterprise intelligence stays fragmented; it urges rebuilding data infrastructure, adopting composable architectures, and resolving AI sovereignty issues.
MIT Technology Review and Times of San Diego spent 15 months investigating deaths near US-Mexico border surveillance towers. The team analyzed cases back to 2015, reviewed thousands of government documents and interviewed over 45 people, producing the first comprehensive map of deaths near the towers. Border Patrol estimates over 10,000 deaths since 2000.
MIT Technology Review will host a Sept 15 online roundtable examining claims that advanced AI could destroy humanity; editors and reporters will analyze the origins, credibility, and possible responses to extinction fears.
MIT Technology Review argues recent Ashburn, Virginia outages show grid architecture—not just generation—is at fault: AI campuses can swing huge loads in milliseconds, and current UPS and power-stack designs may not absorb such volatile gigawatt-scale behavior, threatening grid reliability.
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The A.I. Daily
MIT survey: only 16% of firms extract transformative value from AI