Julian Cross

A Stanford analysis of payroll data reveals automation isn't displacing experienced workers — it's quietly erasing the career ladder rungs that used to build them.

Three separate legal milestones landed within weeks of each other — and together they reveal how thoroughly synthetic-media abuse has outpaced the institutions trying to contain it.

New neuroscience suggests heavy short-form video use isn't just training bad habits — it may be physically altering the brain structures responsible for self-control.

A new study found that talking about money — not managing it better — significantly cuts financial anxiety, and the reason why exposes something uncomfortable about how control actually works.

A federal market study confirmed what companies wouldn't say out loud: your browsing behavior, down to cursor hesitation and abandoned carts, is being used to charge you a price nobody else sees.

Deepfakes rarely fool experts — but they've given anyone caught on camera a new defense, and that's quietly dismantling the evidentiary logic that holds institutions together.

A new wave of research finds that AI-generated portraits of users are quietly displacing self-knowledge — not by being accurate, but by being persistent.

AI isn't showing up as mass layoffs — it's showing up as a slow removal of the tasks that gave work its texture, and most workers don't have language for what they've lost.

Workplace AI surveillance is generating mountains of data on employee behavior — but a growing body of research suggests the systems are measuring the wrong things entirely, and workers have figured that out.

Research confirms that the most algorithmically literate users are also the most ensnared — which means the platforms were never counting on your ignorance.

New data on human detection rates reveals that deepfake technology's most dangerous output isn't convincing fakes — it's a world where anyone can credibly call real evidence a lie.

AI productivity tools promised to measure how well people work — instead, research suggests they're quietly teaching workers to game the measurement instead.

Internal leaderboards ranking employees by AI usage aren't measuring productivity — they're measuring compliance, and the difference is quietly reshaping who gets promoted and who gets managed out.

Researchers have a name for what happens to your judgment the moment you open an app without a goal — and it turns out platforms have been quietly engineering for it.

A rigorous experiment quietly confirmed what most of us already half-suspect — and put a surprisingly precise number on the damage.

New research on algorithmic management reveals that workplace monitoring tools don't just measure productivity — they redefine it, rewarding whatever is easiest to see and slowly eroding everything that isn't.

A new wave of AI scoring tools doesn't just watch workers — it quietly rewrites what counts as good work, and the rewrite favors employers in ways most workers never see coming.

Recommendation systems don't just predict what you want — research suggests they gradually manufacture it, replacing your actual preferences with a flatter, more clickable version of yourself.

Workplace monitoring has quietly shifted from measuring performance to harvesting the behavioral data needed to automate the people being measured — and most workers have no idea which side of that line they're on.

A large-scale audit of AI deployment across 104 occupations found a sharp mismatch between what workers want automated and what companies are actually automating — and the gap reveals something important about who these tools are really built for.

YouTube's new likeness detection tool promises to shield creators from deepfakes — but using it means submitting your face to a platform with every incentive to find that data useful.

Companies built management systems out of algorithms — then argued, successfully, that those systems don't count as management.

AI hiring tools are spreading faster than the laws designed to govern them — and buried in their logic is a new definition of fairness that no job seeker ever agreed to.

Clicks and scrolls told platforms what you did. Conversational AI is teaching them something far more valuable: why.