Tyler Thompson

Business leaders have spent the past two years asking “which jobs will AI replace.” That question was always slightly the wrong one. Jobs are bundles of skills, and different skills within the same role carry very different exposure to automation. McKinsey Global Institute’s new report, Agents, robots, and us: How AI reshapes work and skills … Read more

OpenAI’s latest flagship model promises stronger reasoning, faster execution and better economics. But the early reaction reveals a more important truth: model capability is advancing faster than most organisations’ ability to operationalise it. The launch of a new frontier model usually follows a familiar script. A laboratory publishes benchmark gains. Early adopters declare a paradigm … Read more

Anthropic has extended free subscription access to Claude Fable 5 through July 12, 2026, giving enterprise teams an additional five days to work with the most capable AI model ever released for general use. After this date, access shifts to a pay-per-token model at $10 per million input tokens and $50 per million output tokens, … Read more

What the UNDP’s 26-Country Assessment Reveals About the Real Barriers to Responsible AI Implementation Most organisations are not short on AI ambition. They are short on the institutional, data, and governance foundations required to make that ambition operational. A major new report from the United Nations Development Programme confirms this at country scale, and the … Read more

AI agents are no longer working alone. This week’s stories show multi-agent “swarm” systems outperforming single models, retail trading platforms handing execution to autonomous agents, and new UNDP evidence that AI adoption is now outpacing AI readiness in most countries. Here is what enterprise leaders need to know. What is swarm AI and why does … Read more

Three stories landed this week that matter more than another model release. Here’s what actually happened, and what it means for any business running AI in production. If you only track AI through the headline launches, you missed the more important news this week. Three separate stories, from a Stanford-ADP labour dashboard, a Google UK … Read more

Picture two CEOs in the same industry, with the same budget, reviewing their Q2 results. One is celebrating 45 percent more revenue from digital channels and fielding acquisition interest at a P/E multiple nearly 2.3x higher than her nearest rival. The other is presenting a post-mortem on a failed transformation program that burned 12 percent … Read more

For three years the working assumption in enterprise AI has been simple. Pick the best model, and everything above it is plumbing. That assumption is now wrong, and the cost of holding onto it is measured in quarters, not features. A recent Forward Future analysis by Janakiram MSV, principal analyst at Janakiram & Associates, makes … Read more

A Teraflow perspective on McKinsey’s Quarterly report, May 2026 TL;DR: Nearly 90% of organisations now use AI in at least one business function, and most are deploying the same large language models. A May 2026 McKinsey Quarterly article by Dago Diedrich, Evan Williams, Tanguy Catlin, and Tim Fountaine argues that competitive advantage comes from building … Read more