Every digital breakthrough currently carries a hidden debt paid in megawatts. As generative models scale, a single query can devour ten times the energy of a standard search, straining local grids and bloating consumer utility costs. This massive appetite threatens to accelerate carbon emissions and deplete vital water resources, yet a paradox exists: this technology is also a potent tool for optimizing crumbling power infrastructure and discovering sustainable materials. We are at a crossroads where AI infrastructure must either fund its own transition to carbon-free power or risk becoming an ecological liability. How do we ensure intelligence doesn’t come at the cost of the planet? Is a truly "green" algorithm even possible?
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Artificial Intelligence & Robotics
Energy & Greentech
Cloud & Infrastructure & Connectivity
Speakers
Nicolas Lefevre-Marton
Group VP Data Center Acceleration and Strategic Partnerships