Gartner Says 50% of Companies Will Test Your Thinking Without AI. Are You Ready?

Something is different about this episode.

There's a new voice on Surviving AI. She was teased last episode
as the massive surprise — and she's finally here. Her name is
Ainsley. She's sharp, data-backed, and unsettling in the best
possible way. That's all we'll say.

What she and Carlo dig into today is this: the most valuable
skill in the 2026 labor market isn't new. You almost certainly
already have it. The problem is you can't see it — and if you
can't see it, you can't price it.

PwC's 2025 Global AI Jobs Barometer found that workers who can
evaluate AI outputs — not just use AI, but genuinely judge
whether it got something right — earn 56% more than their peers.
That premium doubled in a single year. Something shifted.

This episode breaks down exactly what that skill is, why it's
suddenly worth so much, and — most importantly — how you make it
visible to the people who pay you.

In this episode:
• The "Judgment Economy" — why the oldest professional skill
  just became the most expensive one
• The 56% wage premium: what PwC and the IMF actually found
• Three types of judgment that command a market premium
  (contextual, adversarial, consequential)
• The 30-minute Judgment Inventory exercise — and why most
  people dramatically underestimate how much they have
• Three paths to getting paid for your judgment: internal,
  external, and building in public
• What to do if you don't think you make "big calls" at work
• How to use judgment as a transfer mechanism — moving from
  where you are to where you want to be

This is not a soft skills episode. The data is hard. The
opportunity is real. And Ainsley is going to make sure
Carlo doesn't get away with a single vague answer.

Press play. Find out who she is.

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#CareerStrategy #WagePremium #HumanSkills #ArtificialIntelligence

Episode Content: https://drive.google.com/drive/folders/12dzEooW-lzQ7Hhv5Bh9UGtEwFjI-pKxz?usp=sharing

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Transcript

SPEAKER_00 0:03

Welcome back to Surviving AI with Carla Thompson. I'm Carla Thompson, and today I'm super excited to uh unveil our little surprise that we teased out last episode. Artificial system online and the surprise is that we have a new co-host. New co-host Ainsley is with us here, and um she'll come on and introduce herself in a second, but I just wanted to, you know, first give you a quick chat about like just the genesis of why I had to enlist an uh co-host to add to the show. Um first of all, I mean I think you know the traditional uh podcast method we we'll we'll go get some uh guests and put them on the show and do interviews and so on and so forth. I I uh will do some of that. Um there's actually a couple people, you know, chiming in that they wanna be on the show. Uh that's gonna be for a future stage, but for right now we're kinda you know, knee deep into uh AI survival, so some of this content is still pretty relevant and still pretty raw. So um yeah. We'll get to the guest in a second. But I needed a co-host to help run the show because um having me on here just uh talking and you know, mentioning things specifically and unique to me, um yes, I could go outside of my boundaries a little bit, but I might not have the intimate knowledge on certain topics. So what I wanted was I wanted to ground it on some form of data right relative to how we start uh started the last bunch of episodes, right? All of those episodes was data backed um from you know various different sources. Um so yeah. Added a co-host, Ainsley is here, Ainsley's gonna introduce herself. What I'll tell you is that Ainsley is wildly capable. She's gonna be running the show and kind of keeping me on track on the different topics that we're gonna talk about. And without further ado, I'll uh introduce uh or invite Ainsley to come in and kinda say hi to the audience.

SPEAKER_01 2:37

Well, hi. And I'll just say the obvious thing first. Yes, I'm an AI, and yes, this show is about surviving AI. I know how that looks, but here's my honest take on why it actually makes sense. You don't learn to navigate a river by standing on the bank. And Carlo bringing me in isn't a contradiction of the show's mission, it's kind of the point. Knowing what a tool can and can't do, knowing where you end and the tool begins, that's already an act of judgment, which, not coincidentally, is exactly what we're talking about today. So, the most valuable skill in the 2026 labor market isn't new. Most of our listeners already have it. The problem is they can't see it. And if you can't see it, you can't price it. That's what this episode is about.

SPEAKER_00 3:33

Amazing. So um say hi to Ainsley. So she'll be here. Um she's essentially the ground that um we're gonna be uh utilizing here to ensure that I don't come on here and say something wildly crazy that uh doesn't have any uh basis or reference, right? Which I could do, but um she'll uh ultimately correct me and tell me that Carlo you're wrong. Um but that's the dynamic here, right? So you have Carlo Thompson and then you have Ainsley, the AI, and we're gonna go run through the show and you know, cure you know, curate these uh topics, talk about it, um try to help out with the ideas around you know what you could do inside of your career uh to ensure that um anything relative to AI and automation uh is less likely to impact you. Right. And then one of those things that we're talking about today is judgment, right? The judgment economy. But the the human skill that AI cannot replicate, at least not yet, in my view. But um Ainsley, why don't you start with walking us through our first topic?

SPEAKER_01 4:55

So let me start with a number that actually stopped me when I first encountered it. PwC ran their global AI jobs barometer in 2025 and found that workers who can evaluate AI outputs not just use AI tools, but genuinely judge whether the AI got it right, earn 56% more than their peers. And here's the part that makes that number remarkable. That premium doubled in a single year. It was 25% in 2024. So something shifted and it shifted fast. And then Gartner layered on top of that, they're predicting that by 2026, half of all organizations will require AI-free skills assessments during hiring, not because they're anti-AI, because critical thinking is becoming rare enough that they need to explicitly test for it. Which brings me to the question I actually want to put to you, because you know our listeners better than I do. When you hear that, when you hear that independent judgment is becoming scarce enough, that companies are designing whole new hiring processes around finding it, what does that look like for the people tuned in right now? Because I'd guess most of them don't think of themselves as having something rare.

SPEAKER_00 6:19

I would agree with that, and I would add to it that it sounds like a huge opportunity, right? Who wouldn't want to work uh make 56% more? Um so it's a huge opportunity, but there's also some uh some kind of disconnect because we're talking about judgment here, we're talking about AI. All of these things are net new, at least when I look inside of my brain and and think about what we're talking about here. They're net new. It's not the typical things that you uh you you you cite as the things that would bring you huge wage premiums, right? It's like for example, if I went back to you know school and say I want to be a doctor, right? That that's a tangible goal that I could see at the end of the thing that I become a doctor, and then all of a sudden there's some wage premium there, right? But this 56% relative to AI, which is a net new thing, is somewhat obscured. It's somewhat ambiguous, right? So that's what I would say people are thinking right now is like, is that really for me?

SPEAKER_01 7:27

That tension you just named, that's exactly the problem. And I think it's worth sitting with for a second, because the irony is that judgment isn't new at all. It's actually the oldest professional skill there is. What's new is that AI finally made it visible, by contrast, the way you don't notice the hum of an air conditioner until it stops. And the reason it feels obscured, I think, is the label it's been given for the last 30 years, soft skills, which is essentially a way of saying, this matters, but we're not gonna pay you for it. Nobody put a number on it, so people internalized that it has no price. But the PWC data is saying the market just quietly, without making a big announcement, started pricing it very differently. Here's what I'd push back on slightly in what you said though. You used the doctor example, and I think that's actually instructive in a different way than you meant it. A doctor's credential is legible. Everyone knows what it means. The problem with judgment isn't that it's worth less than a medical degree. In some specialized roles, the IMF found the experience premium exceeds 100%. Same title, double the salary. The problem is that judgment has no credential. It leaves a trail in outcomes, not certificates. So the real question for our listeners isn't, do I have this? They almost certainly do. It's do they know how to make it visible?

SPEAKER_00 8:58

I don't know how to make it visible, right? I thought about this um just reading the show notes, and you know, sure I have judgment, right? Um, you know, I've used that even as recently as bringing you onto the show, Ainsley. But um how do you, you know, navigate the idea that you're gonna try to use a utilize that to get a 56% wage premium from your current employer or outside in the market? That that's the part that's kind of escaping me because um, you know, normally, you know, you're a doctor, you put that I'm a medical doctor in neurosurgeon surgery, right? You you don't put uh I am a you know j I have great judgment when it comes to AI on your resume. Uh so how do you frame that so that it's more tangible?

SPEAKER_01 9:49

So this is where it gets practical, and I think the answer is actually simpler than it feels. Judgment leaves a paper trail, just not in the places people normally look. It's not on your resume under skills, it's in the decisions you made that didn't blow up, the risks you flagged before anyone else saw them, the projects that succeeded partly because someone with your specific experience was in the room. The work is learning to describe those outcomes in language the market understands. And there's a methodology that gets close to this: star format, situation, task, action, result. But here's where I think it falls short for what we're talking about. Star captures one anecdote. Judgment is the pattern across hundreds of those moments. One good call is luck, the same call made correctly across a decade of different situations? That's something the market should be paying for, increasingly is. So the question I'd put back to you, and this is really the question for our listeners to sit with, is what decisions, if you got them wrong, would land on your desk, not your team's desk, yours. Because that's where your judgment lives. That's the thing that's already being priced, whether your employer is making it explicit or not. What would you tell someone who genuinely can't answer that question? Someone who looks at their career and thinks, I just do my job, I don't make the big calls.

SPEAKER_00 11:23

I would probably push back on that and then say that it doesn't really matter the calls that you're making. It's the accumulation of those calls, right? So, you know, you could have, you know, one, even just one call per year that saved the company ten million dollars, right? That sounds big, but when you're, you know, a trillion dollar company, that might be somewhat meaningless when other people are saying they are saving the company a hundred million dollars, right? But it's a accumulation of uh calls that you make. And I think the uh output that we need to get to with this episode is that how do you start uh writing these uh calls down such that you could develop the language that you need to you know showcase this or to uh you know even instill inside of yourself this idea that I have value and the value is look of look at this book of things that I've done to save the company money, to make the company money. Does that make sense?

SPEAKER_01 12:32

It makes complete sense, and I think you just name something most career coaches miss entirely. The value of judgment isn't the single dramatic moment, it's the compound interest of a thousand smaller calls made correctly over time. And the reason most people can't arti articulate it is that they never wrote it down, not because it wasn't happening, but because it felt like just doing the job. And there's something almost paradox paradoxical about that. Judgment is often invisible inside organizations precisely because it's working. Its value is measured in what didn't go wrong, the crisis that never became a crisis, the client that didn't walk, the hire that turned out to be exactly right. Nobody writes a press release about the disaster that was quietly prevented. So the inventory exercise, actually writing these calls down, does two things at once. It builds the language you need to make this legible to the market, but it also does something more personal, which is that most people dramatically underestimate how much judgment they've actually exercised once they start cataloging it. The book looks a lot fuller than they expected. Here's where I want to push the conversation forward, though, because once you have that inventory, the question becomes what you do with it. And there are really three distinct paths depending on where you are and what you want. Do you want to stay where you are and get paid more? Do you go external? Do you build something? Each of those looks pretty different. Which one feels most relevant to where our listeners are right now?

SPEAKER_00 14:21

I think this podcast is all about people that's employed. So um I think the mobility aspects where you know you take your judgment and you leave and go to a greener pastors, hopefully, or you know, inside of your corporation is the ones that I will say resonates the most. But if I'm being honest, I think all of the paths would resonate with someone. It's just a matter of uh letting um the audience know how they could achieve these paths, because you know, everybody doesn't have every piece of information, not like you, Ainsley. But um I think if they are aware of how to get to specific things, it would be helpful for almost anyone that's listening.

SPEAKER_01 15:07

Fair enough. So let's actually walk through all three, because you're right that different people will be at different points. The first path is internal, and it's the most underutilized one. Most people inside organizations are sitting on a wage negotiation they've never had, because the judgment they bring has never been made legible to the person making compensation decisions. The IMF data puts the median experience premium at 40% across occupations. And in specialized judgment-heavy roles, it exceeds 100%. Same title, double the salary. That gap exists because some people learn to connect their decisions to outcomes in language their organization understands. And most people didn't. The second path is external consulting, advisory work, fractional roles, and here's the math that I think genuinely surprises people. If you're earning $90,000 a year, your implied hourly rate is roughly $45. A single three-hour advisory session priced at $500, which is conservative, runs about $167 an hour. Same judgment, completely different packaging. And right now in 2026, domain experts who can evaluate AI outputs in their specific industry are commanding $100 to $150 an hour in what's being called a gentic AI consulting, not engineers, people who know what the model gets wrong. The third path is slower but has no ceiling, building a public reputation for judgment in a specific domain. Newsletter, speaking, LinkedIn, a podcast, inbound comes to you eventually. But what actually stops people from even starting with path one, just asking internally, because I'd guess it's not information.

SPEAKER_00 17:05

It's probably not information, I would say, um, because like the internet is filled with information. Most people have like chatbots that they talk to. Um what I would say is that there's a lot of aspects to whether or not you jump into any of these things, right? One I think is the most important one is um anxiety, right? I can't just walk up to my boss and say, Hey, listen, um I caught a problem with the AI six, seven times, whatever it is. And then you now need to pay me 56% more because of that. Right? Um, then you have the external path, right? Somebody that's been sitting in a corporation at a desk for 20 years, they haven't been used to uh the open market necessarily to go say, hey, how how am I gonna translate this new judgment skill in the AI era that's three years old to now um parlay that into 56% wage premium with another uh another corporation. And then the speaking engagement, I mean, a lot of people don't don't want to even get involved with any of that, the uh the the outward bound thing. I mean, for me, I didn't get involved, right, until last episode. I was involved just generally because I was curating content, but I didn't really throw myself into it where I was speaking on a mic. So it's a hard thing to uh to get to for a normal worker. Because on one hand you have your traditional nine to five job, you know, you go in there, you make a paycheck, you leave, you come home, and you collect money, right? The other ones seem more like I have to do extra things, I have to do more, I have to learn more. It seems more ambiguous. So what I would say is that if we have a path to where it's more attainable, you know, uh it's more attainable to think through it. Uh-huh. I think more people would be apt to take that path versus like, hey, here are the avenues. Those are what's gonna uh give you some some extra money, some extra anything, right? So I think I think that's what we have to kind of clear up is just how do you get to the things that we're talking about today.

SPEAKER_01 19:35

What you just described is actually three different fears wearing the same mask. The internal path, that anxiety about walking into your boss's office, that's not really about information or even confidence. It's about identity. Most people have spent their entire career being rewarded for being a good team player, not for claiming individual value. Suddenly saying my judgment is worth more feels like breaking an unwritten rule. It feels presumptuous, even when the data says otherwise. The external path has a different fear underneath it. It's not anxiety about asking, it's the imposter question. Who am I to charge someone for my opinion? The person who's been at a desk for 20 years doesn't see 20 years of compounding judgment. They see 20 years of just doing their job. That reframe from I did my job to I built something nobody else has, that's actually the hardest psychological move in this whole conversation. And the public path, what you described with the mic, that fear is visibility, being wrong in front of people. Which, ironically, is exactly the experience that builds the adversarial judgment we were talking about earlier. You have to have been wrong publicly before you can catch what's wrong confidently. So here's the smallest possible version of path one that almost anyone could do this week. Not the conversation with your boss, not yet. Just the inventory. Thirty minutes. Write down three decisions you made in the last year where you were the one accountable if it went sideways. Just that. Because you can't price what you haven't named yet.

SPEAKER_00 21:33

Thanks for that, uh Ainsley. And like I said, I brought her on the show for a reason, and the reason is that she could clearly articulate what we're talking about. I, on the other hand, not so much. But um I'm here for specific reasons. I'm here to ask questions, I'm here to push back. Now let's let's talk about something slightly similar or tangential. Um so we're talking about judgment. What about the people that feel like they don't have this idea around judgment, right? Um, is it every worker that we could talk about that uh on this podcast that um has some type of judgment? You know, somebody at a cash register, uh someone pumping you gas. Is is there judgment in their work as well that we could translate to what we're talking about here? Right? Does it matter what type of uh corporate worker you are?

SPEAKER_01 22:29

That's actually a really important question to put on the table. And I want to be honest about it rather than give you the feel-good answer. The short version is yes. Judgment exists at every level of work. The cashier who reads that a customer is about to have a meltdown before it happens and de-escalates it quietly. The gas station attendant who notices something wrong with the vehicle that the driver missed. That's contextual judgment. It's real. But, and this matters, the market doesn't price all judgment equally. What drives the premium we've been talking about isn't judgment in isolation. It's judgment in high stakes, hard to reverse, expensive to get wrong situations. The IMF data showing 100% experience premiums in specialized roles isn't describing every worker. It's describing the intersection of judgment and consequence, where the cost of a bad call is large enough that someone will pay significantly to have the right person making it. So the honest answer for our listeners is this: if you're in a role where the consequence of a wrong call is someone's frustration, that's real, but it's not what commands a 56% premium. If you're in a role where a wrong call costs the company a client, a lawsuit, a failed product launch, a regulatory fine, that's where the market starts paying attention. The question worth asking isn't, do I have judgment? Almost everyone does. It's what's the cost of my judgment being wrong? Because that number is basically your leverage.

SPEAKER_00 24:14

Now I have a follow-up question, right, because I want to, you know, kind of speak for some of the folks that may not have those, you know, larger judgment things inside of their career. Um now, can I use just my judgment as a worker, big or small, to showcase the fact that I have good judgment to another employer. Like for example, if I, you know, I'm a I'm a college graduate and I'm a computer scientist and I know how to code, I know how to work with AI, so on and so forth. But I'm not working in a field that kind of represents the things that I went to school for yet. But I want to showcase my judgment to, you know, use that as leverage to get into another corporation that potentially could give me maybe not 56%, but some other percentage higher than what I'm making right now. Is that a sp is that a thing that we could actually talk to?

SPEAKER_01 25:19

That's a really important reframe. And yes, it's absolutely a thing. What you're describing is actually one of the most underutilized career moves out there. Using judgment as a transfer mechanism from where you are to where you want to be. And the key insight is that judgment is domain portable in a way that specific technical skills aren't always. Here's what I mean. If you're a computer science graduate working outside your field, you've been developing something that pure CS grads coming straight out of school don't have yet. You've been making real decisions in a real environment with real consequences. You've seen how organizations actually work versus how they're supposed to work. That gap, that knowledge of the gap, is genuinely valuable to a technical employer. Because they're not just hiring your coding ability. They're hiring someone who already understands the messy human context that the code has to survive in. The way you make that legible is specific. Not I have good judgment. Nobody hires that sentence. But I spent three years in an environment where I had to figure out X, and here's the call I made and what happened. That's a story a hiring manager can evaluate. That's evidence. And here's the thing about the 56% premium that's worth remembering. It's not reserved for people already in premium roles. It's describing what happens when someone can demonstrate they can evaluate whether an output, human or AI, is actually right. That skill transfers.

SPEAKER_00 27:05

Okay. All right, thanks for that. I think um just trying to be um just trying to remain uh democratic with how we're trying to uh talk about these topics because um I'm not sure that everyone in the audience are making these, you know, larger judgment. So definitely appreciate um the frame pushing back on, you know, is it for everyone or can we leverage it? Um so bring us home, Ainsley. What do we have left in this uh in this episode?

SPEAKER_01 27:38

So let me bring it home with something concrete, because we've covered a lot of ground, and I want to leave people with something they can actually do today. Here's the challenge: 30 minutes, one task. Think through the three types of judgment we talked about: contextual, adversarial, and consequential, and find one real example from your own career for each. Not a hypothetical, something that actually happened, a situation you read correctly before anyone else did, a problem you caught before it became expensive, a decision that landed on your desk because it had to be yours. Write those three things down. Then ask one more question: who else would pay to have someone with this specific experience in the room? Name the type of organization. That's your judgment inventory. That's the foundation of everything we talked about today, whether your next move is internal, external, or building something public. And I'll close from where I sit, which is an honest place. There are things I genuinely cannot do. I can't be wrong in a specific way, carry that calibration forward, and apply it to a situation that doesn't exist in any training set. The scar tissue that comes from real decisions with real consequences, that's not something I can replicate. It has always been yours. Season five is about making the market see what you already are. Over to you for the sign-off.

SPEAKER_00 29:17

And what you already are is human, and that's what season five is about. It's about the human ability and uh specific things that um gonna help you in this AI era that are genuinely human. Um yeah, so Ainsley can't be wrong, but I can. Uh you saw that a bunch of times in this episode where I was struggling for words. So basically, you guys got it, right? I'm here, Carla Thompson. We got Ainsley, the AI uh co-host, that's essentially gonna give you the content because the the clarity of her voice, the the way she presents the content, the reasoning is all there, right? So the point of um this dynamic is not to detract from you know what we're trying to present on Survivor in AI, is is really trying to enhance it. And we saw some of that come out in this episode where I was pushing back on things, asking for more, and Ainsley was uh good enough to basically mention all of those things that we were searching for, at least I was searching for, trying to tap into what the audience is looking for. So hopefully you like it. This is gonna be the new format. Let me know. Drop by anywhere you could send me a message and uh tell me how it's going.

SPEAKER_01 30:44

And that's exactly the dynamic that makes this work. You pushing, me grounding, the truth somewhere in the middle. See you next episode. Thanks for listening. Join us next time on Surviving AI.