Chinese tech workers are starting to train their AI doubles–and pushing back

illuminem summarises for you the essential news of the day. Read the full piece on MIT Technology Review or enjoy below:

🗞️ Driving the news: A viral open-source project on GitHub claiming to clone workers’ skills into reusable AI “doubles” has sparked debate among Chinese tech employees, raising concerns about automation, job security and the ethics of training AI systems to replicate human expertise

🔭 The context: The project proposes capturing a worker’s coding habits, decision-making patterns and technical workflows to create an AI version capable of performing similar tasks autonomously
• While some developers view the idea as a productivity tool, others fear it could enable companies to replace workers with digital replicas of their own skills
• The controversy reflects broader tensions across China’s tech sector, where intense competition and rapid adoption of AI tools are reshaping the future of software development.

🌍 Why it matters for the planet: The rapid expansion of AI-driven automation is increasing demand for energy-intensive computing infrastructure, including large data centers and training systems
• As AI adoption accelerates globally, managing the environmental footprint of digital technologies is becoming a growing sustainability challenge

⏭️ What’s next: Debate is likely to intensify around worker rights, intellectual ownership of skills and ethical AI deployment, as companies experiment with tools that replicate human knowledge in automated systems

💬 One quote: “The idea of turning coworkers into reusable AI skills is forcing developers to confront what automation really means for their jobs.” — MIT Technology Review

📈 One stat: Global data-center electricity consumption, driven partly by AI workloads, could more than double by 2030, according to projections from the International Energy Agency.

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