Big tech’s recent embrace of nuclear power highlights a shared strategic challenge between AI firms and energy providers: managing time. As AI-driven data centers send electricity demand soaring, companies like Microsoft, Meta, and Amazon are investing directly in nuclear to ensure a stable, carbon-neutral power supply. Two core timing problems anchor this shift: energy providers struggle to predict when demand will justify massive infrastructure investments, while AI firms need suppliers to meet aggressive build timelines. The article argues that solving both requires rethinking time as a strategic asset. To predict market readiness, energy firms must get closer to customers—via partnerships and physical proximity—to reduce risk and align investment with real demand. To set enforceable deadlines, AI firms must take credible, financial stakes in supply chains, signaling commitment and urgency. The piece offers lessons for other industries: use tools like contracts, integration, and co-creation to align stakeholders; and treat timing not as a constraint, but as a strategic variable critical to delivering the future on schedule.Read More
