America is building data centers the way it once built shopping malls: quickly, everywhere, and with the unshakable belief that the future will sort out the parking. Except this time the “parking” is electricity—lots of it—delivered with the kind of reliability we typically reserve for oxygen. That brings us to the question posed by Ars…
Inside MIT Technology Review’s “Insiders Panel”: How the newsroom reads 2026’s tech signals (and why you should care)
MIT Technology Review publishes a lot of serious reporting about the future. But every so often, it also does something deceptively simple: it pulls back the curtain and lets readers watch the editors argue (politely) about what matters right now. That’s the basic promise behind the MIT Technology Review Insiders Panel, a recurring format that…
Protesting AI, and What’s Floating in Space: Why 2026 Feels Like a Two-Front Tech War
On March 2, 2026, MIT Technology Review published an edition of its weekday newsletter The Download titled “The Download: protesting AI, and what’s floating in space.” The original item (which you can read here: MIT Technology Review) stitches together two storylines that look unrelated at first glance: the intensifying public pushback against AI, and the…
MIT Technology Review’s ASME Reporting Finalist Nod (2026) Is Really a Story About AI’s Energy Tab
MIT Technology Review doesn’t usually need an award to prove it can do serious journalism. It has been doing that since long before “prompt engineering” became a job title and long before data centers started showing up in local zoning meetings like uninvited wedding guests. Still, awards matter because they signal something that’s easy to…
AI-Fueled Development Is Pushing Open-Source Risk to the Edge (and Security Teams Know It)
AI has done something truly magical for software development: it made “ship it” feel like a reasonable response to “we haven’t read it yet.” According to a new report spotlighted by DevOps.com, the combination of AI-assisted coding and modern dependency-heavy development is driving open-source risk to what can only be described as “this is fine”…
Goldman Sachs and Deutsche Bank Test Agentic AI for Trade Surveillance: From “Rules + Alerts” to Reasoning Systems (and New Risks)
Banks have a long history of buying shiny new technology, bolting it onto a legacy workflow, and then acting surprised when the shiny part doesn’t magically fix the legacy part. Trade surveillance—monitoring orders, executions, and related behaviors for market abuse—has been one of the most stubborn examples. It’s mission critical, massively data-heavy, and famously prone…
Finding Value with AI in an Industry 5.0 Transformation: From ‘Automation for Savings’ to Human-Centric Growth
On February 26, 2026, MIT Technology Review published an item titled “Finding value with AI and Industry 5.0 transformation”. The piece sits in the increasingly crowded intersection of industrial transformation, AI adoption, and that somewhat mischievous phrase executives love: “value realization.” Unfortunately for reporters (and fortunately for paywalls), the full Technology Review page is not…
Salesforce’s “SaaSpocalypse” Moment: Why Marc Benioff Thinks AI Agents Won’t Kill SaaS (and What Actually Might)
On February 25, 2026, Salesforce CEO Marc Benioff did what every seasoned enterprise-software leader eventually learns to do: stare into the camera, acknowledge the panic, and then politely tell the market it’s being dramatic. The panic has a nickname now—“SaaSpocalypse”—a catchy way of describing investor fear that AI agents will make classic software-as-a-service business models…
India’s AI Boom Is a User Land-Grab: Why Firms Are Sacrificing Near-Term Revenue (and What Happens Next)
India has become the world’s most enthusiastic downloader of generative AI apps—and the world’s most stubborn monetization puzzle. If you’re an AI company, the country looks like a dream: hundreds of millions of smartphone users, a young population, and a national ambition to become an AI powerhouse. If you’re a CFO, it looks like a…
AWS Expands Kiro’s Agentic AI: “Design-first” and “Bug Fix” Specs Aim for Higher-Quality Code (and Fewer 2 a.m. Incidents)
Amazon Web Services (AWS) is doubling down on the idea that the best way to make AI-written code less chaotic is to give it fewer excuses to be chaotic. On February 24, 2026, DevOps.com reported that AWS extended its Kiro developer tool with two new capabilities designed to improve software quality: a Design-first specification and…