The AI Bubble Isn’t Really About AI

2026-07-26 · Source: Artificial Intelligence on Medium · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development, Operations & Process Management · Depth: Intermediate, medium

Summary

Chinese technology investor Wang Yuquan predicts an "AI bubble" could burst around 2029, not due to AI's lack of value, but because current valuations price in years of future social and economic change. The article explains that technical capability, organizational adoption, and economic value do not arrive simultaneously. AI is more likely to replace specific tasks, shifting human roles towards defining goals and evaluating results, rather than eliminating entire professions. It also democratizes access to abilities, making skills and professional support more widely available. However, this wider access will not end inequality, as existing advantages may be amplified, and true expertise, built on judgment from practice and feedback, remains crucial. The "bubble" reflects human expectations about the speed of AI's impact, not the technology itself.

Key takeaway

For Directors of AI/ML evaluating investment strategies, recognize that AI's true value unfolds over time, not instantly. Focus your efforts on integrating AI into continuous processes and empowering teams to redefine roles, rather than expecting immediate, widespread professional displacement. Prioritize developing your team's ability to formulate critical questions and exercise judgment, as these human skills will become increasingly valuable amidst democratized AI capabilities.

Key insights

The AI "bubble" reflects human overestimation of adoption speed, not AI's inherent long-term value.

Principles

• Technical capability precedes organizational adoption.
• AI shifts tasks, not entire professions.
• Expertise requires judgment from practice.

In practice

• Use AI to learn new skills.
• Redesign workflows with AI agents.
• Formulate precise questions for AI.

Topics

• AI Bubble
• Economic Impact of AI
• AI Adoption
• Workforce Transformation
• Professional Expertise
• AI Democratization

Best for: Director of AI/ML, Consultant, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence on Medium.