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Explores the concept of a fully automated economy without human participation, arguing that it is technically feasible even if socially and economically challenging.
A closed-door D.C. simulation with 40 economists and policymakers predicts AI will double GDP growth but spike underemployment to 14%, leading to social instability unless radical government interventions are enacted.
A researcher steps outside their Stanford/Google/Waymo bubble and observes that most of the economy cannot be automated by software or AI alone, highlighting the need for a new flexible approach.
This Wired article presents an unscientific quiz based on expert forecasts on how AI might affect various occupations by 2030, particularly white-collar jobs.
Reports of Iran's complete internet blackout for nearly three months, severely impacting the economy and people's livelihoods, including unemployment, price hikes, and currency devaluation.
The article revisits an 11-year-old prediction, comparing mechanical brains replacing mental labor to cars replacing horses. It argues that automation will lead to mass unemployment and that newly created jobs will not be enough to absorb the unemployed, questioning how the current economic system distributes the abundance brought by technology.
The article argues that AI's role in cybersecurity is creating an economic drain by amplifying vulnerabilities and attacks, leading to escalating costs without improving standards of living.
Ex-Google exec Mo Gawdat predicts a trillionaire will emerge before 2030 due to AI investments, leading to mass job displacement by robots and AI.
Poland's economy has grown to become the world's 20th largest, driven by strong institutions and EU membership, with notable advances in AI and quantum computing.
Sam Altman emphasizes that the AI race is shifting from chatbots and image models to robotics, which will determine dominance in manufacturing, logistics, defense, and the broader economy.