If you're wondering why the AI revolution might hit some speed bumps, here's a big one: the American power grid wasn't built for this moment. Alphabet Inc. (GOOG) subsidiary Google just highlighted what might be the most unglamorous constraint on artificial intelligence expansion—you can build all the fancy data centers you want, but good luck plugging them in.

When "Please Hold" Means a Decade

Marsden Hanna, Google's Global Head of Sustainability and Climate Policy, delivered some eye-opening numbers at an American Enterprise Institute event this week. According to Reuters, he told attendees that connecting new facilities to the electrical grid isn't just slow—it's absurdly slow.

"Transmission barriers are the number one challenge we're seeing on the grid," Hanna explained. "We had one utility who told us 12 years to study the interconnection timeline, which is sort of wild, but that's what we're seeing."

Twelve years just to study the connection timeline. Not to actually connect anything—just to figure out if and how it might be possible. That's the kind of delay that makes tech companies rethink their entire infrastructure strategy.

Plan B: Set Up Shop Next Door

Google's solution? If you can't connect to the grid in a reasonable timeframe, skip the grid entirely. The company is exploring colocation arrangements, essentially building data centers right next to power plants. This lets them tap directly into electricity generation without navigating the transmission system's bureaucratic maze.

But Hanna made clear this is meant as a bridge, not a permanent fix. "That's the strategy we're pursuing with colocation and our hope is that these can eventually be grid-connected resources," he said. The endgame still involves proper grid integration—it's just that waiting around for a decade isn't an option when you're racing to deploy AI infrastructure.

The Energy Math Behind AI

Here's why this matters so much: global electricity demand is projected to surge roughly 30% by 2035, and data centers are a major driver. Their slice of total power consumption is expected to jump from about 1.5% today to 3.5% as artificial intelligence applications proliferate.

The urgency isn't lost on others watching this space. Earlier this month, Michael Burry publicly urged President Donald Trump and Vice President JD Vance to fast-track a $1 trillion investment in nuclear energy and grid infrastructure. His argument: meeting AI-driven power demand is crucial for keeping the U.S. competitive with China and sustaining long-term economic growth.

Meanwhile, Tesla Inc. (TSLA) CEO Elon Musk has been championing solar as the future dominant energy source, pointing to data showing solar's growing share of new electricity generation.

Price Action: Alphabet's Class A shares fell 0.15% in after-hours trading, while its Class C shares dipped 0.10%. The stock maintains stronger price trends across short, medium and long-term horizons, though its value ranking remains weak.