"In our current AI hype cycle, there is a feverish hope that AI will save us. The point of view is that AI will make us more efficient, effective, and resilient, and in some instances, this will be true. On the other hand, the pessimist (bearish) point of view is that AI is also reducing human input, eliminating thinking roles, and concentrating wealth and power."
"Fifty years ago, productivity growth in advanced economies began to slow down. Productivity growth - the component of GDP growth that is not due to increases in labor and capital - is the primary driver of rising incomes. When it slows, so does economic growth as a whole. This makes it an urgent trend to understand. Unfortunately, the most popular explanation for why it's happening might be wrong."
"My goal in this essay is to help others make better decisions on a potential hire, business partner, or even life partner as quickly and as accurately as possible. It's made up of suggested action steps and some of the ruminations that underlie them. At the end I include my own assessment of different personality assessments and some of my go-to interview and reference questions."
Current AI hype centers on hopes that AI will increase efficiency, effectiveness, and resilience while opposing views warn it reduces human input, eliminates thinking roles, and concentrates wealth and power. Opinions range from bullish optimism to bearish existential concern depending on perspective. Effective assessment should focus on the mechanisms and human roles that make AI systems function. Designers and makers receive curated resources and editor picks to support critical thinking and practical work. Broader economic concerns include slowing productivity growth and contested explanations for its causes. Practical guidance covers evaluation techniques for hiring and indicators of senior technical competence.
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