Is AI Making You Faster But Dumber? The Hidden Cost of Cognitive Offloading | Builders Creed

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Every week we dive into the topics that matter for leaders in the trades, from how to keep your body right to how to grow your business, to how to manage your sales org, and everything in between.

This isn't theory, it's the playbook straight from the people living it.

If you're building something of your own, you're in the right place.

Let's get into it.

Let me ask you something before we even get into today's episode.

When was the last time you looked at a number, a quote, a bid, and actually questioned it, not glanced at it and moved on?

Actually stopped and said, wait, does this make sense?

If you're using AI in your business right now, and most of you are, that question matters more than you think because there's a quiet trade happening.

You're getting faster, but there's a real chance you're getting dumber while you do it.

Not because AI is bad, because of how most people are using it.

That's what we're digging into today.

Welcome back to Builders Creed, the show for the doers, the closers, and the operators building real businesses from the ground up.

Every week we get into what actually matters for people running trades businesses, your body, your crew, your sales org, your bottom line, no theory, just the playbook straight from people living it.

Today's topic comes out of a piece in the Harvard Business Review.

And I want to be upfront, this isn't a robots are coming for your job episode.

You've heard that one enough.

This is something sharper and honestly more useful.

The question isn't whether AI replaces you, it's whether AI quietly strips away the exact skills that made you valuable in the first place while you're too busy enjoying how fast it's making you.

Let's get into it.

Here's the thing about running a business in the trades.

You didn't get good by being handed answers.

You got good by being in it, under a truck, on a roof, in a hard negotiation with a customer who didn't want to pay what the job was worth.

You built instinct, you built judgment.

That instinct is the thing that lets you walk onto a job site and know before anyone tells you that something's off.

Now, AI tools are showing up everywhere in business, estimating software, sales scripts, customer follow-ups, even hiring, and they're genuinely useful.

Nobody on this show is going to tell you not to use them, but researchers looking closely at how people actually use these tools found something worth pausing on.

When people get an answer from AI, they tend to just take it.

They don't push back on it, they don't dig into whether it actually fits the situation in front of them.

There's a term for this cognitive offloading.

Basically, your brain finds a shortcut and it takes it.

That's normal.

That's how brains work.

But if you let that become the default every single time, the muscle you use to build judgment starts to go soft.

And here's the part that should really get your attention if you're a business owner.

This isn't just an individual problem, it becomes an organizational one.

There's an idea in the research called black boxing.

It's when workers start trusting a tool without ever understanding how it actually works or why it's giving them the output it's giving them.

This isn't a brand new problem, by the way.

It showed up years ago in a study of investment bankers who leaned so heavily on their analytical software that they slowly lost the ability to catch its mistakes.

Now think about that in your world.

Say you run an HVAC company or a plumbing outfit or a roofing crew.

You bring in AI to help price jobs or route your text or draft your sales follow-ups, that's smart.

But if your estimator stops understanding why a bid landed at a certain number, if your sales rep stops understanding why a script works, you've built a black box in the middle of your business.

And a black box doesn't just sit there quietly, it fails quietly too.

You won't see the crack until it's already cost you a job or a customer or a reputation.

The article makes a sharp point here.

AI is good at pulling facts, it's good at surfacing data fast, but it doesn't have context.

It's never stood in a customer's kitchen and read the tension in the room.

It's never felt what it's like when a crew is burnt out and the numbers on paper don't match the reality on the ground.

That contextual read, or that's still yours.

That's still human.

And if you stop exercising it, it doesn't just sit there waiting for you to come back to it.

It fades.

Here's another piece of this that hits close to home for anyone building a brand or leading a sales team.

Researchers found that AI tools tend to push people toward the same ideas.

It's not malicious, it's just how the technology works.

These models tend to lock all some to the first strong idea and lean toward the average, the safe answer, the expected response.

Now picture five different companies in your market all leaning on similar AI tools for their marketing, their proposals, their pitch decks.

What happens?

Everybody starts to sound the same, everybody starts pitching the same way.

And in a trades business where the real differentiator is usually you, your story, your crew, your way of doing things, that's dangerous.

Innovation, the stuff that actually makes you stand out, comes from surprise, from noticing something nobody else noticed.

If your whole team is leaning on tools that flatten out surprise, you're not just risking a little sameness.

You're risking your edge.

So here's the real question underneath all of this.

It's not, should I use AI?

Of course you should.

The real question is, are you using it to sharpen your thinking or are you letting it quietly replace your thinking?

All right, this is where it gets useful because the researchers didn't just point out the problem, they found real companies solving it.

And their first fix is one I really like because it's simple to apply in your business starting this week.

They call it turning AI on its head.

Instead of using AI like a vending machine, you put in a question, it spits out an answer, you take it and move on.

Some companies are training their people to use AI the way a good mentor uses questions, not to hand you the answer, but to challenge your thinking and make you dig deeper.

One pharmaceutical company ran a 10-day challenge with over 1,500 employees, teaching them to prompt AI in a way that made them think harder, not less.

People said it surfaced angles they hadn't considered and challenged assumptions they didn't even know they were making.

A year later, that program had spread to over 50 teams across the company.

Here's how you bring that into a trades business.

Next time you use AI to help price a job or write a proposal or plan a sales call, don't just take the output.

Ask it to challenge your assumption.

Ask what's missing.

Ask what a competitor would say is wrong with this plan.

You're not using AI to think for you.

You're using it as a sparring partner.

That's a completely different relationship with the tool, and it keeps your judgment sharp instead of letting it go soft.

The second fix is one that's going to sound counterintuitive coming from a business show, but stick with me.

Some of the smartest companies studied in this research are deliberately building AI free time into their week.

There's precedent for this.

Years back, companies like Intel ran no email days to fight information overload.

Now, some organizations are doing the same thing with AI, blocking out time where people have to think through a problem on their own first before they ever open a chat bot.

One telecom company actually requires its managers to work through strategy sessions without AI, forcing them to lean on their own judgment before bringing in the tool.

Why does this matter to you?

Because your best people, your lead techs, your top closers, your project managers, they need reps, real reps, without a shortcut in the room.

Think about how you trained your best guy in the field.

You didn't hand him the answer every time something went wrong.

You let him work through it, sometimes get it wrong, and build the instinct that makes him valuable today.

That same principle applies here.

If your newer hires never learn to price a job or handle an objection without leaning on AI first, they'll never build the instinct they need for the day the AI gets it wrong, and it will eventually.

So here's a practical move.

Before your team brings AI into a big decision, a bid, a hire, a strategy call, have them write down their own read on it first, their gut call, then bring in the AI and compare.

You'll be amazed how often the gap between those two answers teaches you more than either answer alone.

There's a third approach worth mentioning, and it comes from a design firm that ran an experiment most business owners would find interesting.

They had two teams work the same branding project at the same time, one team leaning heavily on AI, one team working the traditional way, the AI-driven team moved fast, they generated close to 1,700 images and covered a massive amount of ground.

But the human-led team working slower came back with fewer options and stronger ones, sharper story, better judgment about what actually fits the client.

In the end, the human-led proposal won.

The lesson here isn't don't use AI.

The lesson is that AI and your team are good at different things, and the smartest move is knowing which is which.

AI is great for speed, pulling data together, generating options, covering ground fast.

But the judgment call, deciding what actually matters, what fits your customer, what tells the right story, that's still human skill.

If you're running a sales team or managing bids, consider letting AI and your people work a problem separately sometimes, then compare notes.

You'll often get a stronger outcome than if you just handed the whole thing to the tool.

One last point before we wrap, and it's a smaller one, but worth mentioning, a lot of the frustration people feel with AI comes from the interface itself, that chat box, that wall of text you have to dig through to find what you actually need.

Some companies are starting to build different kinds of tools, ones that show the raw data and the competing options side by side instead of just handing you one clean answer.

Google did something similar with a math research tool.

Instead of a simple chatbot, they built something that shows the reasoning step by step so mathematicians can actually check the work instead of just trusting the output.

That's a good model for any of us.

If a tool ever just hands you a clean, confident answer with no visibility into how it got there, that should make you a little more curious, not less.

So here's where I want to leave this.

AI is not the enemy.

Nobody on this show is telling you to slow down or throw out the tools that are genuinely making your business faster.

That would be a bad take, and honestly, it wouldn't survive contact with reality.

The tools are here, they work, and your competitors are using them.

But speed was never the whole game.

The businesses that last aren't just the fastest ones.

They're the ones where the people making the decisions still know why those decisions are right.

Delegating the labor to AI, writing the draft, crunching the numbers, generating the options, that's smart.

Delegating the judgment, deciding what's true, what fits, what your gut is telling you about a customer or crew or deal that's still yours to hold on to.

Ask yourself this the next time you're leaning on one of these tools.

Am I using this to think harder or am I using it so I don't have to think at all?

That one question asked consistently is probably the difference between a business that gets faster and stays sharp, and one that gets faster and slowly forgets how to think.

That's it for this one.

If this hits home, share it with somebody on your team who's leaning a little too hard on the easy button.

We'll see you next week on Builder's Creed.

That's a wrap on this one.

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Until next time, keep building.