๐ฎ Exponential View #591: Never skilling; tricking OpenClaw; screwworm & progress; synth cells, tungsten & AI superforecasters++
Summary
New data from Ramp and Revelio Labs, based on over 21,000 US firms, indicates that companies heavily adopting AI increased employment by approximately 10% over two years, with entry-level roles growing even faster at 12%. This challenges the simplistic "AI replaces jobs" narrative, suggesting AI complements human work, increases demand for supervision, and expands overall task viability. Separately, US chip controls are compelling China to embrace open-source AI as a resilience strategy, evidenced by an 11x higher rate of LLM repository forking among China-linked developers compared to US developers since 2022. Chinese models like Qwen and DeepSeek are gaining global traction, though their use is often undisclosed in US patents. This shift highlights China's increasing self-reliance in scientific research underpinning domestic innovation.
Key takeaway
For Directors of AI/ML evaluating workforce strategies, recognize that AI adoption can increase headcount, particularly for entry-level roles requiring AI proficiency. Your teams should prioritize redesigning workflows to integrate AI, moving beyond individual productivity gains to systemic efficiency. Be mindful of "never skilling" risks in training programs, ensuring new hires develop foundational judgment alongside AI tool use.
Key insights
AI adoption drives job growth and shifts skill demands, while geopolitical tensions foster open-source resilience.
Principles
- AI adoption can increase headcount.
- Geopolitical controls drive open-source use.
- Complementarity boosts worker demand.
In practice
- Focus on AI-literate entry-level hires.
- Redesign workflows around AI capabilities.
- Monitor "never skilling" in training.
Topics
- AI Job Impact
- Workforce Transformation
- Open-Source AI
- Geopolitical Technology
- China AI Strategy
- Skill Development
Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Policy Maker
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Editorial summary, takeaway, and curation by AIssential. Original article published by Exponential View.