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NVIDIA CEO Jensen Huang states that increased AI usage leads to more hiring.
Garry Tan argues that achieving macro productivity gains from AI will require CEOs and managers to adopt radically different staffing and workflow plans, and that this transformation may take a decade rather than two years.
The article argues that AI tools like Claude are poised to automate much of product management work, signaling a major shift in the role of PMs.
Studios are cutting staff and shifting AI costs to freelancers, exacerbating Hollywood's jobs crisis as AI adoption proves expensive and unsustainable.
Google launches ATLAS, a large-scale study analyzing 15 million AI interactions to understand how people use AI at work and in daily life, revealing broad but shallow adoption and collaborative use over automation.
A small business owner shares how using Claude and ChatGPT subscriptions has reduced their workload by 30-40%, alongside other automation tools like POS ordering and QR codes, leading to questions about the future of their role.
A jar of discolored drinking water from Morgan County, Georgia, taken after a data center was built, illustrates the environmental toll of AI infrastructure, sparking a call to protect natural resources.
IBM reported a 42% drop in mainframe sales, leading to a 25% stock crash, but CEO Arvind Krishna insists the decline is temporary due to customers prioritizing AI hardware spending, not a sign of mainframe demise.
An opinion article arguing that as AI commoditizes many skills, ethical judgment becomes the most important human skill, and that ethics is a trainable skill built from noticing, reasoning under conflict, owning second-order effects, and acting under pressure.
AI tools like Codex are breaking traditional proxies for measuring engineering productivity, forcing leaders to distinguish between activity metrics and actual business value.
The article discusses how coding agents have dramatically reduced the cost and effort of reverse-engineering home devices, making automation projects more accessible and less risky.
This article examines how AI agents are automating the repetitive tasks that junior developers traditionally used to build taste and judgment, altering the career path from junior to senior and contributing to rising unemployment among recent computer science graduates.
A personal anecdote about two wedding videos created with AI that ended up nearly identical, illustrating how AI tools are causing everyday creativity to regress to a mean.
This essay explores the 'conversion trap' where AI delivers intelligence but fails to produce outcomes due to weak infrastructure and delivery systems, using COVID vaccine distribution as an example.
The article explores how AI could sever the historical link between human labor and value creation, suggesting that societies may need to rethink economic structures beyond just job displacement.
Highlights how AI-powered instant explanations transform education, raising questions about the evolving role of traditional classrooms.
A veteran software engineer reflects on AI's disruptive potential across professions including bioengineering, law, and accounting, expressing concern about the accelerating changes.
The article examines whether Europe's social welfare model can withstand AI-driven job disruption, contrasting the EU's regulatory focus with Silicon Valley's proposals for universal basic income, while highlighting uncertainty about AI's actual impact on employment.
Arvind Narayanan's ICML 2026 keynote argues that the 'AI as Normal Technology' framework is useful for understanding AI's impacts, rejects the notion of sudden job loss from AI, and envisions a future of human-AI co-superintelligence requiring significant adaptation.
Observing that knowledge workers are increasingly becoming instruction workers, likely due to AI tools that turn expertise into issuing commands to machines.