AI Is Electricity

AI is electricity.

That framing is not a metaphor for rhetorical effect. It is the clearest way to understand what is actually happening — and the clearest way to stop asking the wrong questions about it.

When electricity arrived, nobody debated whether to adopt it. The debate was about where to wire it first. Factories, streets, homes, hospitals. The question was sequencing and investment, not existence. Organizations that treated electricity as a novelty lost to organizations that treated it as infrastructure. The same thing is happening now.

What the analogy clarifies

Electricity did not eliminate jobs. It eliminated tasks. A factory no longer needed twenty people turning cranks, but it needed electricians, machinists, and operators who understood how to work with power. New roles emerged. Old tasks disappeared. The shape of work changed.

AI follows the same pattern. The leadership question is not "who gets replaced?" — that question keeps organizations paralyzed. The right question is: which tasks in my organization are still being done by hand when power tools exist? Answering that honestly requires looking at every department, every workflow, every repeated process. Most leaders have not done this audit. They are still debating whether to adopt AI while their competitors are wiring the building.

What the analogy warns against

Electricity also introduced risks that did not exist before. Electrocution. Fires. Dependency on a grid that could fail. The response was never to reject electricity. It was to train operators, build codes, install breakers, and design systems that could fail safely.

AI brings its own risks: hallucination, over-reliance, loss of foundational skill, security exposure. These are real. They are also manageable. Leaders who respond by refusing to wire the building are making the same mistake as an executive in 1895 who forbade electric lighting in the factory because somebody might get shocked. The risk is real. The refusal is indefensible.

The novelty test

Here is how to tell whether your organization is treating AI as electricity or as a novelty.

Look around at the systems you already own.

Consider the enterprise platform built to configure, secure, and enforce compliance across thousands of machines at scale — the kind of system that can deploy operating systems, manage patches, and apply security policy centrally across an entire fleet. In most organizations that own one, it is being used to push files. A platform built to run compliant infrastructure at enterprise scale serves as an expensive file delivery system.

Consider the enterprise analytics platform that can model demand, surface anomalies, and run predictive scenarios across millions of records. In most organizations that own one, it is being used to produce pie charts that could have been built in a spreadsheet.

Consider the customer relationship management system that can orchestrate every customer touchpoint, score leads automatically, and drive lifecycle campaigns at scale. In most organizations that own one, it is being used as a contact list with an aging sales pipeline glued to the side.

This is the pattern. Organizations acquire transformative capability and then deploy it to the most trivial subset of what it can do. They buy a power plant and use it to charge a single phone. The gap is almost never the tool. The gap is organizational imagination and leadership attention.

If your AI initiative is still a demo two years in, if it's owned by IT instead of operations, if it's producing impressive pilots that never reach production — you are using electricity to power a novelty lamp. The tool is not the problem.

The leadership frame

You do not need to become an AI expert. You need to ensure the building is wired.

The mistake leaders make is assuming they need to understand the technology before they can direct it. They delegate the whole question to a technical team, wait for recommendations, and then approve whatever comes back. This is how organizations end up with expensive tools being used as file delivery systems. The technical team optimizes locally. The leader who could have asked the strategic question — where should this capability actually be applied? — never enters the conversation.

Your job is not to learn how a generator works. Your job is to decide which rooms need power first, which need it most, and which are still running on candles.

That decision is leadership. The wiring is tactical. Confusing the two is how organizations fall behind.