The Ghost of GE: How Old-School Rank-and-Yank Still Haunts Work Culture

Simon Carver

Hello and welcome to The Human Workforce podcast series. I'm Simon Carver, and I'm here with Lachlan Reed.

Lachlan Reed

G'day, I'm Lachlan. Good to be with you, Simon. And, look, today's one of those topics that feels weirdly current and weirdly old at the same time. Like finding an old tool in the shed, giving it a shiny new handle, and pretending it's not the same rusty spanner.

Simon Carver

Yeah, that's exactly it. A lot of people talk about AI at work like some totally new force just landed from space. But when you look closely, some of the logic underneath it feels very familiar. Not futuristic, really. More like corporate ideas from the '90s that never actually left the building.

Lachlan Reed

Right. They just got a rebrand. New dashboard, new jargon, same old elbows-out vibe. And if your workplace lately feels more anxious, more measured, more sort of... scored... you're not imagining it.

Simon Carver

The core story today is not, "Here's a shocking new invention." It's more, "Here's an old management instinct coming back in a sharper suit." The ghost in the room is General Electric. More specifically, the GE culture associated with Jack Welch.

Lachlan Reed

Yeah. Welch gets remembered as this legendary CEO, sometimes admired, sometimes absolutely not. And one of the big ideas tied to his era was what people called "rank and yank." Very subtle name there. [dry laugh] You rank your people, reward the stars, manage the middle, and push out the bottom slice.

Simon Carver

It was sold as discipline. As clarity. As a way to keep standards high. And to be fair, I can see why executives found it attractive. It turns a messy human problem into a neat chart. Humans are hard. A spreadsheet is soothing.

Lachlan Reed

That's such a good way to put it. Because in real teams, people are all mixed up. One person's brilliant in a crisis but hopeless in admin. Another one quietly keeps the whole joint from falling apart, but doesn't make a lot of noise. That's messy. But if you're an exec staring at quarterly results, messy can make you itchy.

Simon Carver

So the pitch becomes: let's sort people. Let's identify the top performers, the middle majority, and the bottom group. Then we can say we're running a meritocracy. We're being tough-minded. We're building excellence.

Lachlan Reed

And now, fast-forward to 2026, and some firms are using AI systems to do a version of that with way more data. Slack messages, calendar entries, keystrokes, code commits, all this so-called digital exhaust. That's the phrase. Which, by the way, sounds like your laptop needs a muffler.

Simon Carver

[laughs] It really does. But that's the shift. In the older model, a manager watched, judged, and stacked people up. In the newer model, the ranking can look more objective because it's fed by software and numbers and constant tracking.

Lachlan Reed

And that's where I get a bit skeptical. Because when an old harsh idea comes back wearing the badge of math, people can stop questioning it. They think, "Well, the system says so." But a dressed-up score is still making a call about a human being.

Simon Carver

Exactly. So that's where we're headed today: this feeling that our workplaces aren't becoming entirely new so much as becoming old in a new accent. And the question underneath all of it is pretty simple: if this logic has been hanging around for decades, why are we still so tempted by it?

Lachlan Reed

So let's get into the GE bit. The basic model from Welch's era was the 20/70/10 split. Top 20 percent, reward them. Middle 70 percent, manage them. Bottom 10 percent, out they go. Nice and tidy on paper. Bit brutal in real life.

Simon Carver

Brutal, but also seductive to leaders. Because it promises control. If you're running a huge company, the idea that you can continually upgrade the workforce by cutting the bottom tier sounds efficient. Like pruning a tree. Only, of course, people are not branches.

Lachlan Reed

Yeah, and that analogy matters. Trees don't get stressed, stop sharing knowledge, or start quietly wondering if helping a teammate is gonna tank their own ranking. People do. But executives heard a powerful story: keep only the best, and your company gets stronger.

Simon Carver

It fed a management myth, didn't it? The myth was that internal competition always creates excellence. That if everyone knows someone has to be last, everyone will work harder and the company will become leaner, sharper, more high-performing.

Lachlan Reed

And look, I get why that sounded convincing in a boardroom. If you're chasing output, "talent density," ROI, all that stuff, then forced ranking feels like radical accountability. No ambiguity. No passengers. No coasting.

Simon Carver

Proponents still say similar things today. They argue that in a hyper-competitive economy, meritocracy has to be enforced. They say AI can cut through favoritism, office politics, and managerial bias, and judge people on output and efficiency.

Lachlan Reed

That's the sales pitch: the machine is objective. It doesn't care who plays golf with whom. It just sees results. And if your rank updates every week or every month or quarter, then hey, you always know where you stand. Crystal clear. Like having a leaderboard at work, which sounds fun until you remember it's your rent on the line.

Simon Carver

[softly] Right. Clarity can become pressure very quickly. And today's systems are much more granular than the old GE version. Instead of a manager's annual impression, software can track tiny signals all the time. Your messages, your meeting load, your commits, your visible outputs.

Lachlan Reed

Which means stack ranking can happen in near real time. And that's a massive shift in feel, even if the philosophy is old. Back then, bias might come from one boss. Now the threat is this invisible mathematical score that looks neutral because it's wrapped in data.

Simon Carver

And once a score looks neutral, it gets authority. That's the part I think people underestimate. If your manager says, "I have concerns," you might push back. If a dashboard says you're in the bottom quartile, suddenly it feels like gravity. Harder to argue with, even if the measurement is incomplete.

Lachlan Reed

Or flat-out missing the point. Because what gets measured tends to be what's visible. Fast replies. Countable output. Clear activity trails. But a lot of important work isn't flashy. Mentoring someone. Settling a conflict. Keeping a team calm when everything's gone pear-shaped. That's real work too.

Simon Carver

Still, the old logic survives because it answers an executive craving: tell me who my best people are, tell me who's dragging, and give me a process that looks rigorous. That's why Welch's model became more than a policy. It became a kind of legend.

Lachlan Reed

Yeah, a myth with great branding. Tough leaders making tough calls. But myths can outlive evidence. That's what we're seeing now. Performance reviews, productivity metrics, and AI rankings aren't separate stories. They're chapters in the same book: sort the humans, reward the top, cut the bottom, repeat.

Simon Carver

So why hasn't this changed much? I think one reason is language. Companies rarely say "rank and yank" out loud anymore. It sounds harsh because it is harsh. Now the words are softer: optimization, accountability, performance improvement, inconsistency, resource alignment.

Lachlan Reed

Yeah, same dog, different collar. If a company says it's targeting the bottom 20 or 25 percent for improvement plans or labels like "inconsistently meet" or "need improvement," the effect can be pretty similar. People hear the music. They know what dance this is.

Simon Carver

And on paper, it can look compelling. Higher standards. Better return on salary spend. More efficient teams. A company trimming fat before the bottom line gets hit. That's the clean spreadsheet version.

Lachlan Reed

But the boots-on-the-ground version? Bit uglier. When people know a fixed chunk of the group has to lose, trust starts leaking out of the room. Why would I help you if your success could shove me down the ranking? Why would I share a trick, or mentor a junior, or admit I don't know something?

Simon Carver

That's the destruction of psychological safety. And that phrase can sound fluffy until you've lived the opposite. A safe team is one where you can ask a dumb question, try something uncertain, even fail, without feeling like you've stepped onto a trapdoor.

Lachlan Reed

Exactly. Innovation needs a bit of room to wobble. But if every wobble gets counted, people go short-term. They chase visible metrics. They pick work the AI can see. They avoid risky long-term projects, or the glue work that helps everyone else but doesn't show up as a lovely crisp data point.

Simon Carver

Glue work is the perfect phrase. The colleague who notices tension and calms it down. The person who onboards new hires well. The teammate who prevents a crisis by quietly coordinating. Those contributions can be essential and almost invisible to an algorithm.

Lachlan Reed

And then the algorithm says, "Low-ranked." Which is wild, because maybe that so-called low performer is the one holding morale together with duct tape and good instincts. AI's not great at measuring empathy, leadership, or de-escalation. Hard stuff to count.

Simon Carver

So we end up with a divide. Some lean-and-mean firms, especially in tech and finance by reputation, seem happy to prioritize raw output. Other organizations make the case that you can't build durable innovation without trust, diversity of strengths, and the safety to experiment.

Lachlan Reed

And I reckon that's the real fork in the road. Not, "How much can we trim?" but, "What sort of place are we building?" A company full of high performers who don't trust each other might look deadly on a slide deck and still be less effective than a more mixed team that actually collaborates.

Simon Carver

[pauses] That's the question I keep coming back to. If AI becomes our teammate, as some people hope, do we use it to make work more human and purposeful? Or do we use it to perfect old systems of fear with cleaner numbers?

Lachlan Reed

Yeah. Are we building better workplaces, or just better ways to sort and squeeze people? I might be overcooking it, but that feels like the whole ball game.

Simon Carver

Not overcooking it at all. I think that's exactly the right note to end on: what kind of workplace do we actually want next?

Lachlan Reed

That's it from us for now. Simon, always good to wrestle through the messy stuff with you.

Simon Carver

Likewise, Lachlan. Thanks for listening, everyone. We'll be back soon with another conversation.

Lachlan Reed

See you next time. Bye.

Simon Carver

Goodbye.