Why Critical Thinking Matters More in the Age of AI
Matt Lyon and Steve Ellis on why critical thinking is more essential as AI becomes embedded in everyday work.
- 28th August 2026
In our recent webinar, Arcadia’s Partner, Head of Consulting (APAC) Matt Lyon sat down with Steve Ellis, Partner & Head of EMEA to explore why the organizations that will thrive in an AI-augmented world aren’t the ones using the technology most, but the ones who know what to think before they open the prompt.
Across an hour of conversation, they covered the quiet erosion of judgment in modern workplaces, the danger of outsourcing decisions to a tool that fabricates with confidence, and what it actually takes to build teams that think well under pressure.
This transcript has been edited and summarized for clarity and length. To watch the full recording, click here.
Why AI Validation Feels Good and Why That’s the Problem
Matt Lyon: AI hasn’t created a thinking problem, it has exposed one. AI moves fast, organizations move slow. AI gives answers, and humans react emotionally. Humans want certainty, and AI actually produces probability, but articulates it as certainty.
Steve Ellis: So the fix isn’t to move faster. Weirdly, we don’t need to speed up, but it’s to slow down long enough to define the problem and what a good outcome looks like before searching for an answer.
AI can seem empathetic, but it’s usually just reflecting on the sentiment you gave it. That validation can feel meaningful, but it isn’t an independent judgment. It’s your own input, played back to you.
Matt Lyon: Which is part of why people often resist it when it genuinely pushes back, even after asking it to. Used well, it’s a real sparring partner for thinking, but only if you stay in control of the direction rather than accepting whatever it hands back.
How does AI affect critical thinking skills: for better or worse?
Matt Lyon: AI doesn’t replace critical thinking, it either makes the good thinking better, or it makes the bad thinking worse. It’s a multiplier of thinking, not a substitute. The research with Swiss Business School was saying that the more you used AI, the more cognitive offloading, where the tool starts doing the thinking instead of you.
Steve Ellis: If critical thinking is linked to strategy, it isn’t about separating a good idea from a bad one. It’s about choosing which good idea fits the strategy best. That’s the judgment call AI can’t make; it will just tell you they’re all good.
Frame the problem before you open the prompt
Steve Ellis: Take the return-to-office debate: are you trying to justify real estate costs, accelerate learning, or protect flexibility? Each framing leads to a different right answer, and AI will build a convincing case for whichever one it’s given. Without agreed criteria for success, any answer looks reasonable.
Matt Lyon: That’s great in a situation where we have perfect information, but almost all of us are working with imperfect, or moving information. And even then, agreeing the criteria isn’t enough, you also have to look at who’s setting them. Where are the conflicts in their values, their motivators, their needs? And how do we mediate those?
Surface bias before it hardens into consensus
Steve Ellis: We are emotional creatures. We filter information through biases, by definition, this isn’t critical thinking but emotional thinking. Leaders need to be able to identify those blind spots and pressure test information against relevance, logic and reasons, instead of sentiment.
Matt Lyon: The challenge in organizations is that certain roles, teams, and divisions each become biased toward their own perspective. That creates groups of people who all think the same way, and who share the same certainty that their answer is right. Our brains are very good at protecting that: we delete the evidence that suggests we’re wrong, and magnify the evidence that suggests we’re right. That’s confirmation bias.
Move without losing your judgment
Matt Lyon: Nowadays, the competitive advantage is no longer intelligence, it’s disciplined thinking. But thinking alone isn’t enough; it has to lead to action. The real risk is paralysis: people tend to make decisions bigger than they need to be, which makes them hold back, when breaking things into smaller steps would help them move forward.
Steve Ellis: What’s critical to avoid is the sunk cost fallacy. Before committing to the next step, ask yourself what conditions need to hold true for you to take the step after that. If those conditions aren’t met, that’s your cue to adjust, to stay agile and change course, rather than pushing on just because you’ve already started.
Don’t let AI absorb the work that builds judgment
Matt Lyon: Junior employees build judgment through hands-on work that looks inefficient in the short term. If we take away all that learning from the doing, the practice, we take away the apprenticeship model. It becomes a black box.
Steve Ellis: There’s a personal cost too. Our ability to think, to create judgements, to make our own decisions, rather than defer them to a tool, is a fundamental part of our self-esteem and resilience. If judgment is always outsourced, then the risk isn’t just a worse decision. It’s never building the confidence to make one yourself.
Critical thinking is becoming a survival skill, not a soft skill
Steve Ellis: According to the World Economic Forum, critical thinking, strategic thinking, resilience, influence, and empathy all sit in the same top tier of skills expected to matter most by 2030 — right alongside AI and technology literacy. I don’t think these skills are an antidote to technology. I think they’re a complement to it.
Matt Lyon: We need to teach critical thinking the way we teach literacy. It isn’t a soft skill anymore. It’s a survival skill.
This is an edited excerpt of a conversation that runs over an hour, including sections on building critical thinking cultures, the role of psychological safety, and how to practically apply the Evaluate–Explore–Execute framework with your team.
The full conversation is available to watch on demand here.
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