The pitch for AI was simple. It would take the busywork off your plate and free you up for the things that actually matter. For a lot of people, in practice, it does the opposite. It drains them.

I've felt it myself, and I think I know why.

Why It Drains You

When you reach for an AI tool, you usually add work instead of removing it. There's more you can do now, which means more output to check and verify. So you spend your energy babysitting the AI instead of being freed by it.

There's a deeper reason, and it's the part I keep coming back to. Most of the work you do well, you do on autopilot. It sits at the bottom of your brain and runs on instinct. You don't think about it, you just do it. The moment you hand that work to a machine, you have to pull all of it up to the front of your mind, because you have to explain every step before the thing can act. Dragging all of that instinct up to your frontal lobe and putting it into words is what wears people out. More energy spent, not less.

Think of it like driving a car. You don't consciously think about steering or braking; you just drive. AI forces you to write a 10-page manual on how to turn the wheel before you can even leave the driveway. This is the 'Cost of Explicit Instruction', and it's the hidden tax we pay for automation.

Here's what it looks like in practice. The AI produces the thing step by step, and it's genuinely helpful. Then you catch the design problems you have to fix. You catch the copy that reads like AI and has to be made human again. You think through the next steps in the process. You review it, you improve it, and the whole time it's more isolating and more draining than just doing the work by instinct would have been.

And the people selling the dream aren't helping. Sam Altman and the other AI executives keep promising liberation from busywork, while the day-to-day reality of using their products points the other way. The dream that gets promised is usually not the thing that's actually happening.

So I stopped fighting it and changed how I work.

How I Work Now

The Intention Principle: AI is a mental game, not just a tool problem. Frustration is almost always a lack of intention. People open a chat, throw a vague prompt at the void, and blame the AI when the output is useless.

The Pre-Mortem Principle: Never let the machine 'start' until you've finished the thinking. Spend real time on a detailed planning session inside the chat. Come with an outlined plan and a clear agenda, not a vague ask.

Stop 'writing' with AI. Drafting forces thinking; AI bypasses it. Use it for execution, not exploration. Give it a brief, not a conversation.

Stake-based standards. Internal work needs utility, not polish. Client-facing work needs human design standards. Know which bar you're clearing before you prompt.

Refresh the context. Past 60% capacity, models lose their edge. When the chat gets muddy, start a fresh one. Use workspaces to keep projects contained.

Enforce 95% confidence. Tell the model: only output if you're 95% certain; otherwise, ask. This forces the machine to clarify your goals instead of guessing at them.

Dial down the effort. Flagship models often have too much 'attitude' at max strength. Running them at medium or low effort often produces more compliant, useful results.

None of this is complicated. It's mostly a matter of going in with a plan and refusing to treat the tool like a coworker who reads your mind. Do that, and the drain eases up. You spend less of the day pulling instinct work to the front of your brain and more of it doing the part you're actually good at.

Where This Goes

We aren't heading toward a world of infinite, automated ease. We are heading toward a world of leverage. The winner won't be the person with the best prompt library. It will be the person who understands the architecture of their own instincts so well that they can clone them into a digital army.

A small team that happens to be mostly machines, pointed at a clear intention and told to ask before it guesses. That's the freedom you build on purpose, not the kind you get handed.

A respected analyst made the case recently: scale doesn't make security companies more efficient. His evidence wasn't a theory. It was the giants themselves, the household names everyone assumes have unbeatable economics.

Getting big and getting a moat are not the same thing.

Cost Diffusion

In monitoring, cost doesn't fall as you scale. It diffuses. You get more accounts. More central stations. More integration debt. More surface area to defend.

The org chart grows faster than the advantage.

True Compounding

Here's what actually compounds: Density. Churn discipline. And a regulated core a competitor can't copy by simply deciding to.

A book losing 3% of its accounts a year and a book losing 9% are not the same company at different sizes. They're different companies. They sell at different multiples. They end in different places.

Earned Moats

Scale you can buy. A moat you have to earn. The most durable moat here isn't a bigger logo or a longer customer list. It's the UL-listed central station.

This thing is hard to earn, expensive to keep, and required for the contracts that actually matter. The barrier that makes it a grind to operate is the same barrier that makes it nearly impossible to attack.

Bigger Defense

Bigger isn't a moat. It's just a bigger thing to defend.

Ultimately, efficiency in security monitoring isn't found in sheer size. Instead, it truly compounds through density, disciplined churn management, and the strength of a regulated core like a UL-listed central station.

You see, scale is something you can acquire. A genuine moat, the durable competitive advantage that offers real protection and value, must be earned through specific and often challenging achievements.

So, are you building a moat, or buying a longer wall?

Accidental Discovery

In 1842, a Scottish cooper named Allan Pinkerton walked into the woods near Chicago looking for timber. He found a band of counterfeiters instead.

He stopped making barrels. He started the first great detective agency in America, and with it the seed of what's now a $263 billion industry.

There are more private security officers on Earth today than there are public police. All of it traces back to one man who happened to be paying attention while everyone around him was merely employed.

What Still Works

I didn't read Legends of the Security Services Industry as a business biography. I read it with a pen, asking one question of every chapter. What still works?

Almost all of it.

The names change. Pinkerton becomes Wackenhut becomes Allied Universal. The technology changes. The night watchman becomes the AI video stream.

The job hasn't changed once in 175 years.

Industrialize Trust

The job is to industrialize trust.

I pulled seven moves out of that book. This week's Mindful Capital walks through all seven.

Final Thoughts

The security industry has evolved from a Scottish barrel maker stumbling upon counterfeiters to a $263 billion global enterprise. But the core mission remains unchanged: industrializing trust.

Whether you're operating in this industry or looking to buy into it, the playbook from 175 years ago still delivers.

If these lessons apply to your work, steal every one.

Product Headlines

The product side gets the headlines.

Smarter VMS, edge analytics, agentic monitoring.

It's important work, and a lot of operators are doing it well.

Phase Two

What I keep coming back to is AI inside the business itself.

At a recent State of the Industry panel, John Petruzzi at Unlimited Technology framed it as Phase 2: agents working inside AP, AR, recruiting, dispatch, and the sales cycle.

Business enablement, not product enablement.

The Gap

McKinsey's 2026 Global Private Markets Report puts a number on it.

Only 6% of GPs say AI delivers high impact in their internal ops today. But 70% expect it within 3 to 5 years.

The same gap shows up at the operator level.

Current Experiments

Here's where we're experimenting right now:

• Service-ticket triage
• RMR collections
• Inbound lead qualification

Some of it works. Some of it's messy. None of it is finished.

The Real Wins

The cameras still get the marketing budget. But the back office is quietly running away with the productivity gains.

The bottom line? AI in security isn't just about smarter surveillance. The operators who focus on business enablement alongside product innovation will pull ahead.

And as more companies move into Phase 2, expect the real ROI stories to come from places you wouldn't expect: AP, AR, dispatch, and sales.

What's working in your business?

What he didn't close: the roughly $11K per year commercial premium reduction his customer's carrier was ready to approve the moment UL-listed monitoring went live.

Nobody asked the broker. Nobody asked the underwriter. Nobody put it on the ROI slide. That's the industry in one story.

Hidden Rewards

Commercial carriers have been quietly rewarding verified security for a decade. UL-listed central station. Video verification. Access control with audit trails. Perimeter plus glass-break.

Filed credits typically run 2% to 15% depending on carrier, vertical, and total insured value. On a $2M commercial property policy, that's real money. And it moves the ROI math on your proposal from "nice to have" to "board-level yes."

The integrator who still sells on features keeps pitching "peace of mind" while the broker in the next room is writing the payback number.

Capture The Arbitrage

Three moves to make this work:

• Ask every commercial prospect who their carrier and broker are, before the proposal
• Build a one-page Insurance ROI add-on for every system quote
• Partner with two brokers willing to write credit-confirmation letters

The Takeaway

Your competitors are quoting boxes. The carriers are underwriting payback. Only one of those sounds like a CFO's language. And only one of those closes faster.

The security integrators who win aren't just selling systems. They're selling ROI that shows up on the insurance line item every single year.

Want the Carrier-Credit Playbook with the broker outreach script and a sample ROI one-pager? Reach out and I'll send it your way.