Kris Gopalakrishnan: The age of AI needs a new growth model—green innovation and entrepreneurship
The world is at an inflection point. We have entered the age of artificial intelligence (AI), an era in which ‘intelligence’ is becoming cheap, fast and widely accessible. This will unlock breakthroughs across sectors: from agriculture to healthcare and manufacturing to education.
But it also forces us to confront a hard truth: the AI revolution has a real physical footprint.Training and running large AI models demands significant energy, compute infrastructure and water for cooling. Scaling AI without rethinking efficiency and energy sources risks building tomorrow’s digital economy on yesterday’s carbon curve. The opportunity—and responsibility—of this moment is clear: the next phase of economic growth must be powered by green innovation and AI must become part of the climate solution, not an accelerant of the problem.That is why ‘green innovation and entrepreneurship’ is vital.
The most competitive economies will be those that combine four must-dos: build and deploy AI; reduce the energy and resource intensity of digital systems; use AI to decarbonize the economy, including agriculture, industry, mobility and power; and build EcoAI literacy at scale. AI’s energy challenge can become an innovation engine: The energy intensity of AI is not just a constraint; it can be a catalyst for innovation. It pushes entrepreneurs towards ‘efficient-by-design’ systems: smaller models where possible, smarter inference, better chips, better cooling, better scheduling of workloads and deeper integration with renewables.
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