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India’s AI Optimism Outpaces Scrutiny of Climate Risks
Many people in India think artificial intelligence can help fight climate change.
A survey found that 52% of Indian respondents had this positive view.
Only 3% were unsure, which was much lower than in several other countries.
The article says this confidence may come from excitement about new technology.
It may also be linked to limited news coverage about AI’s environmental costs.
India is building many data centres, which use large amounts of electricity.
Some of that electricity may come from coal and natural gas.
AI could still help with weather forecasts, electricity grids and tracking deforestation, but people need better information before deciding whether its overall effect is good or bad.
A Reuters Institute survey found 52% of Indian respondents viewed AI as beneficial in fighting climate change, the highest share among eight countries surveyed.
Only 3% of Indian respondents said they did not know whether AI would help or harm the climate, compared with 21% in the United Kingdom and 28% in Japan.
Researchers suggested India’s optimism may reflect enthusiasm for innovation and limited news coverage of scientific topics, rather than detailed public engagement with AI’s climate risks.
India’s data-centre capacity could grow from about 1.4 gigawatts to as much as 9 gigawatts by 2030, increasing its share of national electricity use to around 3%.
AI can support climate efforts through forecasting, grid management and deforestation monitoring, but the article argues that its environmental costs remain insufficiently scrutinized.
- Who
- Indian respondents, researchers at the Reuters Institute for the Study of Journalism, and developers of AI infrastructure.
- What
- A survey found unusually high Indian optimism about AI’s ability to help fight climate change, while the article questioned whether that optimism reflects enough public scrutiny.
- Where
- India, compared with seven other countries surveyed.
- When
- The survey was recently published by Statista; data-centre projections cited in the article extend through 2030.
- Why
- The article attributes the optimism partly to enthusiasm for innovation, limited coverage of scientific and climate topics, and India’s experience with large-scale digital public infrastructure.
AI Optimism
Climate-Risk Scrutiny
AI’s potential climate benefits
AI Optimism
AI may help address climate problems through forecasting, electricity-grid management and monitoring deforestation.
Climate-Risk Scrutiny
Those possible benefits do not settle whether AI’s overall environmental effect is positive.
Meaning of public confidence
AI Optimism
India’s high confidence may reflect its experience with digital public infrastructure such as UPI, Aadhaar and the India Stack.
Climate-Risk Scrutiny
The article argues that confidence may instead reflect limited public debate and insufficient information about AI’s climate risks.
Expansion of AI infrastructure
AI Optimism
Growing data-centre infrastructure can support the wider deployment of AI and technological innovation.
Climate-Risk Scrutiny
Data centres require increasing amounts of electricity, while coal and natural gas are expected to meet a significant share of additional global demand; this expansion therefore requires greater scrutiny.
Key facts
- Positive view in India
- 52% of respondents said AI would benefit efforts to fight climate change.
- Uncertainty in India
- 3% said they did not know whether AI would help or harm the climate.
- Countries surveyed
- The Reuters Institute survey covered eight countries.
- Projected data-centre capacity
- India’s capacity could rise from about 1.4 gigawatts to as much as 9 gigawatts by 2030.
- Projected electricity share
- Data centres could account for around 3% of India’s national electricity consumption, up from under 1% today.
- Global power sources
- Coal and natural gas are expected to supply more than 40% of additional global data-centre electricity demand through 2030.
- Potential climate applications
- Indian researchers are working on forecasting, grid management and deforestation monitoring.
Sources
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