Are We Having the Wrong Conversation on AI and Jobs?
Recent Anthropic research shows AI’s theoretical capabilities far exceed current usage, yet early labor data reveal no sharp increase in job loss, even for roles most exposed. The article argues that the gap stems from tacit, context‑dependent skills—what economists call “practical wisdom”—that large language models cannot capture. It likens today’s AI rollout to inserting a dynamo into a steam‑powered plant, emphasizing that true productivity will only emerge after businesses redesign processes. The author warns that, as with past technologies, the gains may initially accrue to shareholders, risking a modern‑day Engels Pause.
When Efficiency Is Not Enough
The 2011 Tōhoku earthquake and tsunami slashed Toyota’s production by 78% and its quarterly profit by 99%, exposing the fragility of a supply chain built on extreme just‑in‑time efficiency. The disaster forced Toyota to add slack—requiring months of inventory, diversifying...
Using AI to Transform Client Relationships
The article outlines how AI can reshape client relationship management by leveraging persistent knowledge bases, tailored system prompts, and synthetic client personas. It stresses that feeding large language models with structured, contextual data dramatically improves output relevance and strategic insight....
How AI Rewires How We Think
The article examines how AI, since AlphaGo’s 2016 victory, has become indispensable for elite Go players, reshaping training methods and competitive standards. Modern professionals now rely on AI analysis to replicate machine‑generated moves, especially in the game’s middle phase where...
