Norman J Levine

Corporate America has found a new way to signal its ambition: hiring software. Companies are giving artificial intelligence (AI) agents names, titles, and places on the organizational chart, and press releases celebrate the arrival of the “first AI employee” as though a person had walked through the door. According to MIT Technology Review’s James O’Donnell, nearly a third of the 1,261 managers surveyed in a recent Boston University study said their companies already frame AI agents as employees, and 23 percent list them on org charts.

Antimatter propulsion remains far beyond today's engineering reach. But AI may help turn the unknown into a development roadmap. The governance question is whether we can control the research before it outpaces us. A question that sounds like science fiction reveals a very practical governance problem: What happens when artificial intelligence accelerates a high-consequence technology faster than our institutions can regulate it?

It takes about a second. An analyst pastes a contract into a chat box and requests a summary. A recruiter drops a stack of résumés into a tool to rank them. A finance manager uploads a draft board deck and asks for a tighter narrative. The cursor blinks, the answer appears, and everyone moves on. Nothing felt risky. Nothing broke. Yet in that one second, something important happened that almost no one in the building noticed. Information left the organization and went somewhere it had never been.

About a year ago, a risk analyst on one of my client teams told me she had just reviewed a 94-page SOC 2 report in twelve minutes. She used Claude. She did it at her kitchen table at 9 PM because she had two kids and the workday had long since ended.

There is a date that does not yet appear on any calendar. Cybersecurity experts refer to it as Q-Day, the moment when a quantum computer becomes capable of breaking the encryption that protects nearly all sensitive digital communications worldwide. No one knows the precise timing. Estimates vary from a few years to possibly a decade or more.

Imagine a scenario that unfolds hundreds of times daily across organizations of all sizes and sectors. A senior analyst, facing a tight deadline, pastes the text of a confidential vendor contract into an AI-powered tool. She seeks a quick summary, perhaps highlighting key terms or comparing it with a previous agreement. The tool responds promptly. She gets the information she needs in seconds and moves on.

Every time you check your bank balance online, send an email, or make a purchase with a credit card, your information is encrypted, a mathematical shield that keeps your data protected from prying eyes. This encryption has worked extremely well for decades. The algorithms safeguarding your most sensitive data would take today’s most powerful traditional computers millions of years to crack. However, a new typeof machine is emerging that could change everything.