Insights on AI, automation, and the future of work
Microsoft AI CEO Mustafa Suleyman predicts AI will reach human-level performance on most office tasks within 18 months. Lawyers, accountants, and project managers are on the list. But is the reality matching the hype?
Tristan Harris, co-founder of the Center for Humane Technology, warns that competitive pressure in AI could trigger a global jobs market collapse by 2027. "If you're worried about immigration taking jobs, you should be way more worried about AI."
New Stanford research analyzing ADP payroll data reveals a stark generational divide: workers aged 22-25 face a 16% decline in AI-exposed jobs, while older workers remain stable. Software developers under 25 have seen a 20% drop since 2022.
Onclusive, formerly Kantar Media, has laid off 217 of its 383 employees in Courbevoie, France, to replace them with AI. It is the first mass AI replacement of this scale in France, and it raises urgent questions about regulation and worker protection.
Klarna's CEO boldly cut the workforce from 7,000 to 3,000, crediting AI. Their AI assistant handled the workload of 700 agents. But then came the reversal: they admitted being "too ambitious." What happened, and what can we learn?
Duolingo bet everything on AI: contractor layoffs, AI-generated content, automated hiring. The market responded with a 61% stock crash. Here is what the edtech giant got wrong about going AI-first.
A new term is emerging in corporate discourse: IAwashing. Oxford Economics found that companies are not replacing workers with AI at scale -- they are using the AI narrative to justify pre-planned restructurings.
A January 2026 Harvard Business Review study shows a troubling trend: companies are cutting jobs based on what AI might do in the future, not what it can do today. Some are already quietly rehiring.
January 2026 saw approximately 600,000 jobs suppressed globally, a 15% increase year-over-year. At least 8 companies announced 10,000+ cuts each. Is this cyclical correction or structural AI shift?
A Harvard/HBS survey shows Americans are more open to AI than expected: they accept automating 30% of jobs. But 94% draw a firm line -- AI should augment workers, not replace them.
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