AI Risks, Infrastructure Strain, Education Adoption

Indian business schools are rapidly adopting generative AI for research and teaching, though only about 51% of faculty expect a positive impact and just 7% consider themselves expert users, prompting calls for structured training, ethical frameworks and policy guidance. At the U.N., leaders and Nobel laureates have intensified the “AI Red Lines” campaign urging international guardrails on autonomous weapons, safety risks and unequal access. Environmental analyses say AI expansion is driving sharp increases in emissions and water use—citing, for example, a nearly 48% emissions rise at Google—and raising alarm about data-center impacts. That backlash has become political: Florida Governor Ron DeSantis has pledged to block data centers from passing power and water costs onto residents and is pursuing policy or legislative protections. Ethical and societal concerns—from sexually explicit AI “companions” to invisible algorithmic influences—are growing even as industry highlights AI’s potential in diagnostics and precision medicine amid shifting policy and funding landscapes.