#Future of Work

OpenAI's 13-page policy blueprint proposes robot taxes, a public wealth fund, and a four-day workweek. Is this corporate responsibility — or regulatory capture in disguise?

Employment rates are near all-time highs despite AI. But the structure of work is shifting fast. Here's what three new job archetypes tell us about surviving the transition.

Researcher Anne-Laure Le Cunff argues ADHD is best understood as an impulsive drive for novelty, not a deficit. What does this mean for education, work, and how we define normal?

The AI consciousness debate is settled. But the question that actually matters — whether human-AI arrangements grow or erode human judgment — remains almost entirely unasked.

AI companies are hiring actors and writers to generate emotional training data. As creative labor becomes raw material for machine learning, what does that mean for the future of both?

In the 1920s, player pianos made human pianists obsolete. Today, pianists outnumber the machines. What this tells us about AI, jobs, and the enduring economics of the human touch.

Waymo's robotaxi expansion—400,000 rides a week and climbing—is already squeezing Uber and Lyft drivers. What happens when the disruption goes structural?

Lenovo's AI Workmate isn't just another smart device. It signals a fundamental shift in how we think about workplace relationships and human connection in the digital age.

As AI coding agents reshape Silicon Valley, 'high-agency' humans become the new premium talent. But what happens when everyone else becomes obsolete?

Anthropic's enterprise agents program targets entire corporate departments, threatening SaaS companies and reshaping how we think about workplace automation.

Accenture mandates regular AI tool usage for senior staff promotions, affecting associate directors and senior managers. With 550,000 of 780,000 employees already retrained on AI, the company signals a major shift in corporate advancement criteria.

Investor Matt Shumer's viral AI essay garnered 80 million views, warning about AI's disruptive potential. Analysis of what workers are missing about AI's real capabilities.