This week the WSJ highlighted the latest trends. CEOs proudly announcing layoffs and hiring freezes, only to see their stock price go up in celebration. The AI Superworker era has arrived, and companies are now plowing ahead with automation-induced workforce reductions.
All this is not as simple as it sounds. AI budgets are skyrocketing (EY survey shows that 21% of large companies are spending more than $10M already on AI agents), well before the productivity benefits have occurred. So while many great AI use-cases exist, a lot of the headcount cuts are just budget-reallocation from labor to capital, with hopes for productivity to come.
I have no concerns that massive Superworker productivity is coming, but the process is spotty, messy, and uneven. So in this podcast I discuss our newest research on AI transformation and give you some perspectives on all these announcements. A few nuggets to think about:
- The economy is slowing, so most headcount freezes are not only AI automation bets, they’re also insurance against a slowdown
- Employees and mid-level managers are fearful, causing friction and complexity in automation
- AI strategies that ask “employees to figure out how to become more productive” have some but limited impact, while strategic projects are working better
- The HR focus on “task analysis” is interesting and useful, but not the optimum approach
- Companies are starting to get real about AI spending, so the “blank checkbook” to buy enterprise AI is slowing
- Companies that lay people off have plenty of other issues to consider, including brand, culture, and long term growth.
Additional Information
The Rise of The Superworker: AI Empowers Workers
The Four “New SoftSkills” We Need To Thrive In The Age of AI
A Revolution in Corporate Learning: Save Millions with AI-Native Learning
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