Are people using AI, or is the organization learning from it? What changed because we spent those tokens? And who moves discoveries from individuals to teams to organizational capabilities?
Do AI-enabled companies need fewer people? | Seldo.com
AI-native startups are doing more with less — 40% smaller teams, 6x higher revenue per employee — and the data confirms it's not just hype. But the wave of new jobs I predicted hasn't materialized so far. Compute is replacing labor. Will that change?
Knowledge Collapse
AI companies are racing to mechanize mathematics. Where does that leave human understanding?
Companies Are Being Torn Apart by AI "Workslop," Stanford Research Finds
Not only is AI hampering productivity, but it's also blowing up collaboration and souring employee dynamics.
Perspective: AI demand is inflated, and only Anthropic is being realistic
The main usage metric for artificial intelligence, called tokens, looks explosive on paper, but it may be significantly overstated.
From Crutch to Coach?
What a new research study tells us about AI's impact on human learning & skills development
How building software is changing at Anthropic
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic
How teams build – Linear
AI usage patterns in software teams: who is adopting AI, how it reshapes where teams spend their time, and how much more they ship.
Companies That Replaced Humans With AI Are Realizing Their Mistake
As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype.
Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes
Companies that rushed to replace human labor with AI are now shelling out to have IRL workers to fix the technology's screwups.
AI Slop and the End of Knowledge
As an early fan of the internet, I was amazed that all the knowledge of the world was becoming available to everyone, everywhere, all the time. But things have changed.
Bosses Are Blowing More Money on AI Agents Than It'd Cost Them to Just Pay Human Workers
Some organizings are finding themselves spending more on AI token fees than they do paying human salaries.
The AI Roles Continuum: Blurring the Boundary Between Research and...
The rapid scaling of deep neural networks and large language models has collapsed the once-clear divide between "research" and "engineering" in AI organizations. Drawing on a qualitative synthesis...
What we can’t measure about AI – yet | Aeon Essays
The costs of transformative innovations are immediately clear: it’s the longterm gains that are hardest to understand
Cory Doctorow: The people who tell you ‘AI is changing everything’ are lying
It has become impossible to tell managers mesmerised by artificial intelligence that the tools are not, in fact, helpful. So employees just play along with the fiction to keep their jobs, writes our tech columnist
Why AI Makes Things Worse for Enterprise Teams, by Paul Ford
Why are so few engineering teams reaping the benefits of AI? On this week’s episode, Paul presents Rich with the findings from a recent report from CircleCI and
AI Is a Waste of Time
The newest AI tools are accelerating basic research and scaring the general public. But many people are simply using them as toys.
