Why the 10x Engineer Myth Is Breaking Down

Simon Carver

[calm] Hey everyone, welcome back to The Human Workforce. I’m Simon Carver, and today I want to start with a phrase that used to carry a strange kind of magic in tech: the 10x engineer. Not that long ago, if someone called you that, it meant you were the person who could walk into a mess, sort the signal from the noise, and somehow get the thing shipped without setting the building on fire. It meant mastery. Hard-won instinct. The sort of competence people trusted when everything got wobbly.

Lachlan Reed

[chuckles] Yeah, and it also became a bit of a legend, didn’t it? Like a campfire story for startups. This mythical human who could code faster, think clearer, and survive on two coffees and pure spite. Bit cooked, honestly. But companies bought it. They built hiring plans around it, performance reviews around it, even identity around it.

Simon Carver

[matter-of-fact] Exactly. And now that same high-performing engineer can sit down at a desk, type a prompt, and watch an AI generate in seconds what used to take a morning, or a day, or sometimes a painful week. And underneath the convenience, there’s this very human question that creeps in: if the thing I was praised for can now be produced by a tool, what does that make me?

Lachlan Reed

That’s the bit that sticks in your throat. [sighs] Because this isn’t really a software story. It’s an identity story. If your sense of worth got tied to output, and output suddenly gets cheaper and faster, then the ground shifts. Even a really good operator can feel like a roo on roller skates. Bit unstable.

Simon Carver

And to be fair, the 10x idea was always more myth than measurement. It was a symbol. A way of saying, this person creates unusual leverage. But organizations turned that symbol into a scoreboard. More tickets closed, more features shipped, more visible productivity. Speed became the proof of value.

Lachlan Reed

Then AI turns up, not just as a teammate, but as a multiplier. And here’s the irony: it doesn’t only help the best people. It flattens the curve. A junior engineer with decent prompting can now produce work that, at least on the surface, looks like something that used to need years of experience. So if everyone can appear to be a 10x engineer, well... no one really is. Or at least the old definition falls apart.

Simon Carver

That collapse can feel deeply personal. [softly] Because people don’t just lose a task advantage. They lose a story about themselves. I’m the fastest one. I’m the fixer. I’m the person who always knows what to do. Those identities can be stabilizing. They can also be fragile.

Lachlan Reed

And companies aren’t making that easier. A lot of the message right now is, use AI, be more efficient, do more with less. Which sounds sensible until you ask, more what? More code? More documents? More stuff in motion? If the measure of value stays stuck on volume, then we’re basically putting a jet engine on a shopping trolley and acting surprised when it wobbles.

Simon Carver

That’s such a good image. [warmly] And maybe that’s the uncomfortable truth here: AI didn’t suddenly make humans less capable. It exposed how narrow our definition of value had become. If we only knew how to reward output, then of course a machine that increases output is going to scramble our sense of worth.

Lachlan Reed

Yep. So the real question isn’t, can AI produce? Clearly it can. The real question is, what kind of contribution still matters when production is cheap? That’s where things get serious. Because the old myth is fading, and what replaces it is still being negotiated in real time.

Simon Carver

What I’m hearing from people, across roles really, is not just anxiety about technology. It’s grief. And that might sound dramatic, but I don’t think it is. When your job has taught you to equate speed with worth, the rise of AI can feel like looking in a mirror and not recognizing yourself. You’re still capable, still experienced, still you. But the thing the system celebrated most is no longer scarce.

Lachlan Reed

That’s bang on. And I reckon this is where a lot of leaders miss the plot. They think adoption is the whole game. Get the tool in, train people on prompts, track efficiency, job done. But the harder bit is teaching teams what still matters after the first burst of wow wears off. Because the real value was never just typing speed or raw output. It was judgment.

Simon Carver

Judgment is such an important word here.

Lachlan Reed

[curious] Yeah. Judgment, context, trade-offs, accountability. Knowing when not to build the thing. Knowing that a technically correct answer can still be a terrible business decision. Knowing where the risk sits. AI can generate, no worries. But deciding whether the output should be trusted, whether it fits the situation, whether it creates hidden mess later on, that’s still deeply human territory.

Simon Carver

And that’s where I think some organizations are getting a little hypnotized. They see that AI can assist, and they quietly slide into believing it can decide. That because it sounds confident, it must understand. But productive-looking systems can be incredibly fragile if no one owns the reasoning underneath them.

Lachlan Reed

Exactly. You end up with work that looks polished but has no real spine. No one fully understands it. No one wants to question it because it arrived fast and seemed plausible. And the most important question gets skipped: is this actually correct? Or maybe even more important, is this actually appropriate?

Simon Carver

So maybe the future version of a 10x engineer, or honestly a 10x worker in any field, isn’t the fastest producer. Maybe it’s the person who can use these systems without becoming dependent on their illusions. The person who can ask better questions, validate what comes back, and connect technical choices to human consequences.

Lachlan Reed

I like that. The new 10x is orchestration. Knowing when to trust the machine and when to put the tools down and think. Knowing how to steer, verify, and take responsibility. It’s less lone genius, more systems sense. Less hero coding, more clear-headed control. Not as sexy, maybe, but a whole lot more useful.

Simon Carver

And if you’re listening to this feeling a little obsolete, I really want to say this gently: you’re probably not obsolete. You may just be early to a painful redefinition. Every major shift in technology changes what gets rewarded. It doesn’t erase human value. It forces us to name it more honestly.

Lachlan Reed

Yeah. Don’t race the machine at the one thing it’s built to do. That’s a mug’s game. Learn to direct it. Audit it. Challenge it. Use it without handing over your brain. That’s where the good stuff is gonna live.

Simon Carver

That feels like a good place to leave it. Not with panic, not with hype, just with a better question about what work is for and what people are for inside it.

Lachlan Reed

Beautifully said, mate. Thanks for listening, everyone.

Simon Carver

We’ll keep puzzling through this with you. See you next time. Bye, Lachlan.

Lachlan Reed

Catch you, Simon. Bye all.