Can AI-driven growth be made responsible? An Expert Explains how

📌 Summary:

• AI is increasingly framed as a route to economic growth, strategic autonomy and national power, but the "AI Resist List" project argues the costs fall on largely invisible workers, communities and public resources
• Core argument (Petra Molnar): "AI as development" is a form of narrative power that lets governments skip slow structural reform for the appearance of algorithmic progress, driven by a US-China "AI arms race"
• The project's four pillars are Resist, Refuse, Reclaim and Reimagine; AI power is analysed across labour, infrastructure, surveillance, data and narrative
• India appears across all pillars: it supplies much of the invisible data-labelling labour; data centres are pitched as development anchors while drawing on scarce water and electricity; and facial recognition, networked CCTV and Digital India data reserves raise oversight and consent concerns
• Key question for policymakers: who bears the costs and who receives the benefits? Data centres consume large amounts of water and power at the expense of households, farmers and small businesses, while jobs and tax benefits are unevenly distributed
• Recommended safeguards: make corporate commitments binding, give communities the right to refuse or renegotiate projects, require independent environmental and social impact assessments, and ensure data-governance and technology-transfer terms genuinely benefit local communities

🎯 UPSC Relevance: GS3 — AI adoption, the water and energy footprint of data centres, surveillance technology; GS2 — governance, accountability and digital rights.

📝 Prelims Facts:

• "AI Resist List" four pillars: Resist, Refuse, Reclaim, Reimagine
• Data centres are water-intensive (cooling) and electricity-intensive, straining resource-stressed regions

🔑 Key Term: AI Resist List — a project documenting global efforts to challenge and reshape AI's influence across labour, data, surveillance and infrastructure.