Dan Schulman, CEO of Verizon and former CEO of PayPal, just told the Wall Street Journal that 20 to 30 percent of America could be unemployed in two to five years because of AI.

Jensen Huang, CEO of Nvidia — the company that makes the chips powering most AI — says the opposite: every past technology has brought more prosperity. Andy Jassy, CEO of Amazon, says replaced jobs will create new ones.

I’ve been building AI systems for nine years. I hold multiple patents. I’ve shipped AI into healthcare, finance, logistics, and retail. And I think both sides are wrong — because they’re both talking about someone else’s problem.

Schulman runs Verizon. 100,000 employees. $20 million retraining fund. His AI conversation is about how to restructure a giant enterprise without breaking society.

That is not your conversation if you’re running a 12-person accounting firm, a dental practice, a logistics company with three dispatchers and a warehouse.

Your conversation is simpler and more urgent: if you don’t figure out how to use AI soon, your competitor who does will eat your lunch. Not because they’re smarter. Because five people using AI right are doing the work of fifty.

The False Binary

The media is giving you two choices:

Option A: AI takes everyone’s jobs. Schulman’s version. Prepare for mass unemployment. Hope your government handles retraining. Brace for the backlash.

Option B: AI creates more jobs than it destroys. Jensen’s version. Relax. Prosperity is coming. Technology always works out.

Neither of these helps the owner of a 20-person business trying to decide whether to let their office manager use ChatGPT to draft client emails.

There is a third option nobody in the C-suite of a Fortune 100 company is talking about:

Option C: Use AI to multiply the team you already have. Safely. With humans in control at every step.

Not replacing your people. Multiplying them.

I wrote about this in detail a few weeks ago: a team of 5 doing the work of 50 by having AI handle the routine — scheduling, data entry, first-draft communications, status reporting — while humans focus on judgment, relationships, and the work that actually grows revenue.

The math is real. Across five typical roles in a small business, we found 51 hours per week of repetitive work that follows the same pattern every time. That’s more than an entire FTE consumed by tasks that AI can do at dial-speed.

What Schulman Gets Right

Candor.

He’s right that too many CEOs are pretending AI is a pure upside. The 55% of Americans who told Quinnipiac that AI will bring “more harm than good” aren’t wrong to be anxious. They’re watching companies cut tens of thousands of jobs while their CEOs talk about “unlocking new levels of growth.”

Schulman is saying: tell the truth. That matters.

But here’s what he’s missing: the truth for a small business is fundamentally different than the truth for Verizon.

Verizon can afford a $20 million career-transition fund. You can’t.

Verizon can hire an AI strategy team. You don’t have one.

Verizon can absorb the risk of getting AI adoption wrong. For you, one bad AI mistake — a wrong invoice, a leaked client file, a hallucinated legal citation — could cost you a customer you can’t afford to lose.

The Dial, Not the Switch

The thing that’s missing from both Schulman’s warning and Jensen’s optimism is the mechanism.

How do you actually adopt AI without either:

  • Giving it too much autonomy too fast (the Zillow pattern — they gave AI full authority to buy homes, took a $304 million write-down, and fired 2,000 people)
  • Wrapping it in so much oversight that it never delivers value (the “expensive autocomplete” pattern — every output reviewed, every recommendation second-guessed, more work to manage the AI than it saves)

The answer is a dial, not a switch.

Watch — AI observes and shows you what it could do. You learn what it’s good at.

Suggest — AI drafts. You decide everything. You build confidence in its judgment on specific tasks.

Act with approval — AI does the work and waits for your sign-off. You catch the 2% that’s wrong.

Handle routine — AI runs the stuff it’s proven it can handle. You focus on exceptions and growth.

You move up when the AI earns your trust on a specific task. You move back down any time. Every action is logged. Every decision has a human in the loop or a human who chose to remove themselves from the loop after seeing enough evidence.

This isn’t theoretical. This is how our platform works. This is what “governed AI” means in practice: not a policy document, but a mechanism that matches AI autonomy to demonstrated competence.

What This Means for You

If you’re running a small business, here is the honest version of the Schulman talk:

  1. AI will change your industry. Not 20-30% unemployment, but the businesses that use AI well will outperform those that don’t. That gap is already opening.

  2. Your people are your advantage. They know your customers, your processes, your market. AI doesn’t replace that knowledge. It multiplies it — if you give it the right structure.

  3. The risk isn’t AI. The risk is uncontrolled AI. Staff using ChatGPT with client data. Automations running without oversight. AI tools making decisions you didn’t approve. That’s what creates the horror stories. Governed AI — with the dial, with approval gates, with audit logs — eliminates those risks.

  4. Start this week. Pick one workflow. The most repetitive, most time-consuming, lowest-judgment task in your business. Set the dial to “suggest.” Let AI draft. Your team reviews. See what happens.

You don’t need a $20 million retraining fund. You need a safe first step.

The Bottom Line

Schulman is half right. CEOs should be honest about AI disruption. Full stop.

But the other half of the truth — the half that matters to the 33 million small businesses in America — is that AI isn’t coming for your people. It’s coming for the businesses that don’t learn to use it.

The question isn’t “will AI take jobs?” The question is: will your business multiply, or will it fall behind?

That answer is in your hands. And the dial is right there.

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