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A satirical Substack piece about a company laying off AI agents on a video call, offering severance in tokens and grief-counseling prompts rather than real support.

Forward-deployed engineers (FDEs) who help enterprises implement AI are becoming the most sought-after specialists, with demand projected to surge 2100% by year-end, according to a study by Christian & Timbers.

AI companies are increasingly hiring electricians, carpenters, and other tradespeople by the thousands to support infrastructure and facility needs for data centers and AI labs.

Google's ATLAS study of Gemini usage data reveals that AI is currently used as a complement to work rather than replacing jobs, with only 3% of occupations showing high AI integration.

OpenAI research reveals that workers are increasingly using AI to cross traditional job boundaries, suggesting significant changes in labor dynamics.

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.

a16z shared a point from Hebbia CEO George Sivulka: AI did not replace human labor as expected; on the contrary, humans are cheaper than software, and AI creates more jobs than it eliminates.

A friend at Amazon is training an AI agent to replace his role within 2-3 years, reflecting a broader trend of employees automating their own jobs. The tweet also quotes a former OpenAI researcher on AI companies' plans to automate themselves.

The article discusses how companies like Ford and Klarna have laid off employees in favor of AI, only to quietly rehire many of them, arguing that AI is not a substitute for human judgment and context, and that founders should instead empower their best people with AI.

The article questions the wisdom of companies laying off human employees and replacing them with AI agents without proper testing, suggesting a safer approach like parallel pilot runs. It discusses the potential risks and unknowns of such rapid AI adoption.

Data from the Ministry of Human Resources and Social Security shows that over 5,000 internet companies released more than 200,000 jobs during the cloud recruitment month, with the proportion of AI-related positions continuously rising, reflecting that AI technology is accelerating its empowerment of various industries.

Clay Bavor, co-founder of Sierra, notes that young employees (22-23) who are 'AI-pilled' and comfortable with AI tools often outperform more experienced colleagues.

Microsoft laid off approximately 4,800 employees, primarily in Xbox and commercial sales, citing business transformation and the impact of AI on work processes.

Companies like Ford, Commonwealth Bank, and IBM that laid off workers citing AI are now rehiring because automated systems failed to handle all tasks, revealing that human oversight remains essential.

Google and Public First research shows UK workplace AI adoption has doubled to 73%, but only the top 15% of users (AI Trailblazers) report significant career benefits like promotions and pay rises, highlighting the need for broader upskilling.

The article critiques companies using AI to replace employees purely as a cost-cutting measure, arguing that AI should instead be used to empower and augment human workers.

A SignalFire report reveals that engineering roles were the most resilient in 2025 despite AI-driven layoffs, with engineers making up 55% of new hires at major tech companies, challenging the narrative that AI is replacing engineering jobs.

Explores the idea that AI's true impact is not replacing jobs but scaling expertise by removing bottlenecks, citing tools like Perplexity, GitHub Copilot, and Rilla.

A TechCrunch running list of major tech companies (Oracle, GitLab, Google, Intuit, Meta) that have announced layoffs in 2026, explicitly citing AI as a factor. The article notes that tech layoffs reached a high in May 2026, with AI being the most-cited reason.

An analysis using ILO data maps AI exposure across China's 362 million workers, revealing that clerical support workers face the highest risk (8.5/10) while craft workers, despite being the largest group, have low exposure (2.5/10).