An Engels’ Pause in an AI-Shaped World
What is Engels’ Pause?
- Concept from 19th century Britain: industrial output surged but ordinary living standards stagnated for decades.
- Term coined by economist Robert Allen (after Friedrich Engels).
- Features:
- Wages stagnated.
- Food/essentials consumed most household budgets.
- Inequality widened.
- Only later did reforms, institutions, and redistribution improve welfare.
Why Relevant Today?
- Geoffrey Hinton (AI pioneer, Nobel Laureate): AI will make a few people rich, the rest poorer.
- Raises question: Is AI causing a modern Engels’ pause?
- Evidence:
- Job losses (e.g., Indian software giant cutting 12,000 jobs for AI pivot).
- Stanford study (2023): younger workers more vulnerable to AI shocks.
- MIT study: 95% of AI pilots yield no visible gains yet (due to weak complementary capabilities).
Signs of a Modern Engels’ Pause
- Productivity without wage growth
- Call centres in the Philippines: productivity up 30–50% via AI copilots → firms profit, workers’ wages stagnant, workloads higher.
- Inflation worsens cost-of-living pressures.
- Rising cost of complements
- To stay relevant, workers must pay for coding bootcamps, certifications, reskilling.
- Like 19th century households where wage gains were offset by high food costs.
- Inequality deepens
- PwC: AI could add $15.7 trillion to global GDP by 2030.
- Gains concentrated in U.S., China, and firms controlling foundation models.
- IMF (2024): 40% of jobs exposed to AI; advanced economies see high-skilled substitution, leaving others behind.
- Job/task transformation
- Healthcare: AI assists doctors, even AI-run hospitals (China).
- Education, airports, finance, governance: AI reshaping roles, displacing jobs.
- Even “AI Ministers” (e.g., Albania’s Diella).
Policy Lessons from History
- In the U.S. Gilded Age, inequality rose with productivity → unrest.
- Only after unions, welfare systems, public schooling did benefits reach majority.
- Lesson: Without governance, the Engels’ pause may persist.
What Can Be Done?
- Skilling & Transitions
- Singapore’s SkillsFuture: lifelong learning credits.
- MBZUAI (Abu Dhabi): AI-focused university to build human capital.
- Redistribution of AI Rents
- Robot taxes, Universal Basic Income (UBI).
- UBI pilots in UK, EU.
- Philanthropy (e.g., Chan-Zuckerberg Initiative).
- AI as Public Good
- Make compute + data affordable.
- Support open-source AI models (e.g., UAE’s K2Think.ai, Switzerland’s Apertus).
Counter-View: Why It May Differ from 19th Century
- Stronger welfare systems and democratic institutions today.
- Faster diffusion of technology (e.g., smartphones → billions in a decade).
- AI could lower healthcare, education, clean energy costs if distributed equitably.
- AI’s pause might be shorter if policy keeps pace.
Takeaway
- Engels’ pause is not destiny — it depends on political will + governance.
- Without proactive redistribution and skilling, AI may deepen inequality.
- With the right reforms, AI can shift from being a productivity revolution to a human welfare revolution.
Related Posts
Issue of domestic violence against women
Posted on
Revenue Deficit Grant
Posted on
