Those who argue that AI will not trigger a jobs apocalypse point to historical precedent: technology has consistently created more jobs than it destroyed over time. The recent 140,000 layoffs in US tech, while painful, are a fraction of the 155 million total US jobs. Many cuts are part of normal corporate restructuring, not direct AI replacement. Companies are reallocating resources from legacy operations to AI-driven growth, a shift that often creates new roles in AI development, data analysis, and product management.
Moreover, AI is still in early adoption. Most firms are using it to augment humans, not replace them. A McKinsey study found that less than 5% of occupations can be fully automated with current technology. The Guardian's analysis supports this: it argues the 'AI apocalypse' is hyped. retraining programmes — like those offered by Amazon and Microsoft — can help workers transition to new roles.
The 140,000 figure also masks net hiring. Many of the same companies are adding AI specialists. For example, Amazon has thousands of openings for AI engineers. The overall tech employment in the US has not collapsed; it is shifting. Policymakers should focus on education and social safety nets to ease the transition, not panic about mass unemployment.
In the long run, AI could boost productivity, lower costs, and drive economic growth, generating demand for entirely new kinds of jobs. The key is to manage the transition, not to assume the worst.