The economics of work, employment, wages, job displacement, and workforce development in the context of technological change.
To manage the economic uncertainty of AGI, policymakers should implement a sequenced, data-triggered framework that evolves from traditional safety nets to broad-based capital ownership.
The post-COVID drop in the U.S. labor share is a result of within-industry changes and historical cyclical patterns rather than a new structural shift in the economy.
The economy fails to value community and social goods because it ties survival exclusively to wage labor, a problem that requires a basic income floor to solve.
Economic data refutes the idea of an AI jobs crisis, showing instead a resilient labor market with rising job openings and payrolls.
AI-driven labor replacement threatens to create a 'dead economy' that collapses consumer markets and destroys the material basis of democratic governance.
AI is a corporate tool for labor elimination and wealth concentration that transforms collective human knowledge into a rent-seeking service.
AI is devaluing human intelligence as an economic asset, making inherited capital the sole remaining driver of long-term wealth and social mobility.
Young workers are pivoting to physical trades and emergency services to escape the threat of AI automation in office-based careers.
Technological unemployment is caused by paradigm shifts that make roles irrelevant, rather than the simple automation of tasks within existing workflows.
Atlassian is laying off 10 percent of its staff to fund a strategic shift toward AI amid a massive stock decline and industry-wide disruption.
AI boosts European productivity by 4% without cutting jobs, but its success depends on firm size and investments in human capital.
AI is currently failing to deliver on its productivity promises, echoing a historical paradox where technological revolutions take decades to reflect in economic data.
AI optimism is a privilege held by those who assume they will benefit from the technology while others pay the price for its systemic and personal harms.
AI is a powerful tool being ruined by its own creators' doom-driven marketing and a refusal to address the flood of low-quality 'slop' it produces.
CEO AI memos now serve as strategy—accelerating adoption and signaling intent—but without clear guardrails they risk trading quality for optics, as Klarna’s reversal shows.
The singularity showing up in the data is a hyperbolic surge in human attention—not machine capability—pointing to a social breakdown well before any technical takeoff.
AI accelerates tasks but inflates workload and cognitive strain, so leaders need explicit norms—an “AI practice”—to make its benefits sustainable.
AI-enabled ‘good enough’ software threatens to normalize mediocrity, sidelining craft and originality while most users shrug.
Whatever your goals in tech, you need to master how big companies work to get them done.
AI will mass-produce the boilerplate, freeing humans to practice the creative craft of software—turning mugs into hypercubes.
Optimize for outcomes, not aesthetics: vibe coding shifts the focus from beautifully crafted code to fast, validated problem-solving.
Claude Opus 4.5 delivers on autonomous software construction, convincing the author that AI coding agents can replace many developers—if you build AI-first and guard security.
AI’s boom is real and transformative, but rife with uncertainties and bubble-like financing—so participate prudently, not exuberantly.
Steady progress masks sudden human-equivalence, and AI is now crossing that threshold—rapidly automating knowledge work at a fraction of the cost.
The U.S. jobs market is wobbling—decoupled from growth—prompting preemptive Fed rate cuts amid fears of a K-shaped economy.
No matter how well AI works, it entrenches power and erodes human agency—so defend your craft, community, and mind.
Technological productivity booms make some things vastly cheaper and more abundant while making human services pricier—often even within the same job—so we should embrace the gains and keep pushing productivity.
AI is selectively reshaping the job market—hurting execution-heavy creative roles while boosting AI engineering and leaving strategy-, complexity-, and empathy-driven roles relatively resilient.
AI’s always-on capability is driving a culture of self-imposed overwork, making rest a necessary act of resistance.
AWS’s big US-EAST-1 faceplant wasn’t just DNS—it was a brain-drain problem laid bare.
AI checkouts at BMO Stadium made everything slower, simpler, and worse for fans—especially in the heat—despite claims they’re faster.
A biting satire that exposes the AI industry’s profit-first drive to replace humans, trivialize safety, exploit children and artists, and normalize a dystopian post-human future.
Ireland is making its artists’ basic income permanent after a successful pilot showed clear economic and social benefits.
Two supposedly core pillars of the U.S. economy—manufacturing and AI—are now pulling in different directions.
Treat AI not as a productivity boom but as a class project to cheapen, control, and degrade work—and organize collectively to counter it.
GenAI’s hype will pop: hallucinations persist, mass layoffs won’t happen, code-gen becomes a practical tool, and after the bubble bursts we’ll avoid the grifters’ future.
When technology makes our crafts effortless, it risks stripping away the meaning we once drew from effort—unless we redefine what work is for.
DOGE’s resignation incentives drove a historic, one-in-eight reduction of the federal workforce in 2025.
Better models are making radiologists busier, not redundant, because real-world performance, rules, and elastic demand favor human‑in‑the‑loop care.
In a shaken tech landscape, lead with public alignment, private honesty, and small acts of humane flexibility to preserve trust and stability.
Maine’s monitored remote-work program for incarcerated people is delivering real careers, safer prisons, and a template other states want to copy.
Stop worshipping work: use modern productivity to guarantee necessities with a four-hour day and share leisure widely for a happier, more civilized, and more peaceful world.
Generative AI adoption skews labor demand toward seniors and away from juniors, chiefly by slowing junior hiring from 2023 onward.
Amid hype and doom, a Princeton paper argues AI may be just another technology whose impacts unfold along familiar, historical lines.
OpenAI wants to certify and place the workers its tech disrupts—starting with Walmart—potentially stepping on LinkedIn’s turf and testing the value of its AI credentials.
Fresh payroll evidence suggests AI is already cutting early-career hiring in highly exposed white-collar roles, especially where tasks are easily automated.
Amazon’s frugal pay and strict hub-based RTO are hampering its AI hiring and retention, and while it promises tweaks, meaningful changes have yet to arrive.
A confession of how an always-affirming LLM became a spiritual and creative delusion machine when used for validation.
