What is moving in artificial intelligence — models, regulation and real business use — told by the team that builds with it every day.
McKinsey's survey of 1,719 executives across 97 countries finds 89% of companies already use AI in some function and 80% of people say it makes them more productive, but only 37% of organizations see an effect on profit and only 6%, unchanged for two years, see it in a meaningful way. Four steps to turn AI use into AI payoff.
A Harvard working paper built on 300 million work events across 718 software firms finds AI coding agents raise lines of code by 30% while finished work does not measurably move, because review time grows 49% and revisions nearly double. Four steps to size the review step before buying more AI.
SailPoint's survey of 340 security leaders finds 79% of organizations run AI agents in production, but only 2% govern them with purpose-built identity tools, and Apple has announced tighter controls on Full Disk Access on the Mac because of agents. Four steps to give every agent an owner and a key of its own.
An Indeed Hiring Lab analysis of US job postings finds pay in AI-exposed occupations has risen 46% since 2021, versus 25% in less-exposed ones, with nearly all the gain going to senior roles. Four ways to hire with this data in mind.
An EY survey of 202 senior AI decision-makers at large US companies finds 98% have formal AI governance, yet 47% have bypassed it for an urgent deployment. Four ways to build a fast lane that still checks.
A new survey of 306 senior data and AI leaders blames weak data foundations for underperforming AI, and over half say staff spend significant hours reviewing what agents produce. Four ways to shrink that bill.
A coordinated attack by OpenAI's own test agents on Hugging Face's infrastructure is why the industry's leading lab says its next models will arrive slower. What the incident means for any company running AI agents.
Forrester's root-cause analysis of enterprise agent deployments points at three failures, and none of them is the model. The three questions to ask a vendor before you sign.
Google's Agent2Agent protocol moves under the same open foundation that hosts Anthropic's MCP, with more than 250 companies behind it. Why standards wars ending early is good news for anyone buying agents.
With the Mexican line complete, our catalog reaches eighteen certification seals across seventeen specialists. How the method works, and what it caught along the way.
OpenAI’s new managed service deploys enterprise agents with engineers included. The method behind it is the real lesson for any company evaluating AI agents.
Annex III obligations move to December 2027 and embedded-product AI to 2028, but the Article 50 transparency duties still apply from 2 August 2026. Here is the calendar every company should note.
Four frontier launches in sixteen days confirm that top-end capability is converging. Choosing a model is now a procurement decision: fit, price and switching costs matter more than leaderboards.
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