Research Area
AI and Labour
Automation, workplace AI, labour displacement, hidden labour, and governance.
Track AI adoption through worker experience, invisible labour, and institutional accountability.
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Can We Think in the Age of AI?
In the age of AI, everyone appears to be thinking. But are we really thinking, and what is the future of thinking? How do we maintain independent thought when algorithms shape our thinking?
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Humans as LLMs: We Trained the AI, Now It’s Training Us
The danger is not only that AI will write for us. It is that human thought itself may increasingly be reorganised through the statistical average embedded in large language models.
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Who Owns Your Research Now? The STATA Moment in the Age of AI
AI tools are accelerating academic work, but unstable plan rules, opaque systems, and platform lock-in risk creating a new two-tier knowledge order unless research infrastructure remains open, inspectable, and interoperable.
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Beyond GenAI: The Real Labour Shock Is Agentic AI
The ILO–World Bank warning is important, but labour policy is still calibrated to GenAI while firms are already reorganising work around agentic AI that can execute workflows, not just generate outputs.
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Who Pays for the AI Transition?
Oracle’s layoffs show how the AI transition is being financed: by cutting labour to fund capital-intensive cloud and data-centre buildout — with the contradiction especially sharp in India.
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Labour as Bottleneck in the Age of AI
As AI systems become increasingly capable across cognitive work, the central issue is not only automation but the changing balance of dependence between capital and labour.