Is Al Killing Sustainability?

Six tips for your organization to use AI tools to cut corporate GHG footprint and boost sustainability.

- Raju Chellam

The sustainability task force at our MNC decided it was time for IT to “lead by example.” Suddenly every meeting began with someone asking how we could reduce our energy footprint. The infrastructure team, already juggling three outages and a mysterious humming noise from Rack 42, nodded while quietly panicking.

A week later, the facilities team proudly announced a “cost-neutral, eco-positive cooling optimization initiative.” No one knew what that meant but it sounded harmless. Until we walked into the data center and found it warmer than a marketing offsite in Goa. Within hours, dashboards showed our servers running suspiciously cooler, resource usage and energy savings skyrocketing. Sustainability cheered. Finance cheered louder. IT just stared at the temperature gauges which were now in the red zone.

At the next town hall, leadership celebrated our progress with a big, triumphant slide: “Our servers now run at 30% lower energy. Not because of efficiency, but because the cooling budget got cut.”

If that anecdote made you wink, these statistics should make you think: Worldwide spending on AI is set to reach US$2.52 trillion this year, up a sharp 44% over US$1.75 trillion last year and will cross US$3.3 trillion by 2027, according to the latest estimates from Gartner Inc. Building AI foundations alone will drive a 49% increase in spending this year on AI-optimized servers which will account for 17% of the total AI spend. AI infrastructure will add another US$401 billion as a result of technology providers building out AI foundations.

TROUGH OF DISILLUSIONMENT

“AI adoption is fundamentally shaped by the readiness of both human capital and organizational processes, not merely by financial investment,” says John-David Lovelock, a Gartner distinguished vice president. “Organizations with greater experiential maturity and self-awareness are increasingly prioritizing proven outcomes over speculative potential.”