Will AI Solve Climate Change?

CBS's assessment

AI is emerging as one of the most powerful tools in the fight against climate change — accelerating scientific discovery, optimizing energy systems, and unlocking solutions at a scale and speed no human team could match alone. But the technology is not a silver bullet. This digital story examines the honest case for AI as a climate accelerant: where it's already delivering results, where the hype outruns the evidence, and what it will actually take to move from promising models to planetary impact.

The Accelerant

"While AI is moving fast, the climate transition is moving slowly—and that’s a problem. The scale of technological transformation needed to reach net-zero goals is closer to 50 years than 20. The barriers aren’t just technological—they’re economic, social, and political."
Eric Kutcher
DSS Speaker, McKinsey

Prompt Analysis · Long Read

Slideout Title

A big disconnect exists between where higher ed institutions think they are on AI readiness — and where employers and students actually see them.

Xuelin Li · Assistant Professor, Finance Division · 8 min read

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam ut lacus nibh. Integer hendrerit semper leo, sed dignissim ipsum auctor non. Proin hendrerit leo metus, sit amet volutpat orci fermentum ut. Phasellus convallis quis leo at mattis. Aliquam erat volutpat. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Pellentesque scelerisque sapien sit amet odio fringilla, fringilla suscipit urna feugiat. Vestibulum molestie, nisl vel porta tincidunt, mi velit consectetur dolor, vitae eleifend enim dolor eu libero. Etiam nec tempor odio. Donec tempus, arcu at ullamcorper aliquet, ante orci rutrum eros, interdum dignissim turpis arcu eget sem. Vivamus et ante orci. Aenean egestas nibh neque, vel efficitur eros aliquet fermentum. Sed arcu tortor, eleifend sed sem eget, suscipit hendrerit eros.

View Full Perspective

Energy, Grid, and Infrastructure

"While AI is moving fast, the climate transition is moving slowly—and that’s a problem. The scale of technological transformation needed to reach net-zero goals is closer to 50 years than 20. The barriers aren’t just technological—they’re economic, social, and political."
Eric Kutcher
DSS Speaker, McKinsey

Prompt Analysis · Long Read

Slideout Title

A big disconnect exists between where higher ed institutions think they are on AI readiness — and where employers and students actually see them.

Xuelin Li · Assistant Professor, Finance Division · 8 min read

View Full Perspective

Hype vs. Reality

"While AI is moving fast, the climate transition is moving slowly—and that’s a problem. The scale of technological transformation needed to reach net-zero goals is closer to 50 years than 20. The barriers aren’t just technological—they’re economic, social, and political."
Eric Kutcher
DSS Speaker, McKinsey

Prompt Analysis · Long Read

Slideout Title

A big disconnect exists between where higher ed institutions think they are on AI readiness — and where employers and students actually see them.

Xuelin Li · Assistant Professor, Finance Division · 8 min read

View Full Perspective

The Underlying Data

of companies plan to invest more in AI over the next 3 years

of employees rank training as the most important factor for AI adoption

of companies started investing into AI more than 1 year ago

CBS's assessment

The Accelerant

Slideout Title

Energy, Grid, and Infrastructure

Slideout Title

Hype vs. Reality

Slideout Title

The Underlying Data

External CSS