Gleb Tsipursky

The next software race will reward companies that learn to manage machines instead of merely buying them. Anthropic’s agentic coding forecast argues that coding agents are moving from one-shot helpers toward collaborators that write tests, debug failures, generate documentation, navigate codebases, and increasingly handle implementation workflows. That sounds like liberation. It is also an accountability trap.

On a weekday morning in downtown Washington, federal buildings and corporate offices still feel half-full, even as return-to-office emails pile up. At the same time, across the Atlantic, the House of Lords has treated remote work not as a culture war skirmish, but as a subject for a full special inquiry on home-based working, backed by extensive evidence and formal hearings. Its Home-based Working Committee spent ten months asking a simple question with big consequences: is working from home working, and if so, how should governments and employers respond.

Washington keeps adopting tools that can shape, track or influence the federal workforce before Congress sets clear rules for how those tools may be used.

AI is reshaping the economics of routine knowledge work in government. Here's what a striking new cost ratio means for federal agencies.

An NBER survey found 69% of firms use AI, yet nearly nine in ten executives report little measurable effect on productivity or employment so far.

AI has crossed from experiment to operating reality faster than most executives can rewrite their org charts. The new shock is not that companies are dabbling with chatbots. It is that AI adoption is already broad, uneven, and strangely underpowered: a major NBER working paper surveying nearly 6,000 senior executives across the United States, United Kingdom, Germany, and Australia finds that 69% of firms actively use AI, while most still report little measurable impact on jobs or productivity so far.

The report’s most bracing shift from the year before comes through a simple pattern: capability gains keep widening the number of harm pathways, while real-world visibility into misuse grows much m…

An AI tool is no replacement for a doctor, and regulation is essential. But together, physicians and AI could prove beneficial

A synthetic voice calls a parent in a moment of panic, and the fear sounds real. A chatbot drafts an exploit in minutes, then an “agent” strings the steps together without pausing for supervision. Meanwhile, a model release cycle moves faster than the AI safety institutions tasked with monitoring what these systems can do. The latest

Transparent, frequent communication about Gen AI progress, challenges, and feedback turns uncertainty into trust, reducing AI fears and boosting employee engagement… >