Life Vocations

I wrote a version of this argument sixteen years ago. I believe it more now than I did then — and AI is the reason.

By Bryan D. Stafford

Years ago, as a Senior Brand Manager at Kimberly-Clark, I spent much of my time on company-level strategy development and on building strategic capability across teams. The people I worked alongside were, by almost any measure, impressive — many of them freshly minted MBAs from strong programs, fluent in every framework you could name. And yet I kept noticing the same thing, and it surprised me every time: they could recite a framework flawlessly but struggled to think with one.

Hand them a SWOT, a Porter’s Five Forces, a positioning statement, and they could fill in the boxes. Ask them to define the actual problem, surface the assumption hiding underneath it, or reason from messy evidence to a conclusion that wasn’t already in the textbook — and the room often went quiet. They had been trained to apply constructs, not to work within them. The credential was real. The thinking was thinner than the credentials implied.

That pattern bothered me enough to go and study the discipline itself rather than just complain about it. Across the 2000s, I became a certified trainer in Edward de Bono’s thinking systems — the lateral-thinking tools, the Six Thinking Hats, the deliberate attention-directing methods he designed to pull people out of their default mental ruts — and I worked through the Foundation for Critical Thinking’s courses in the Paul-Elder approach. Sitting on both sides of that work, first as a student of it and then as a credentialed trainer in it, convinced me of two things. First, thinking really can be taught; it is a discipline, not a gift. Second, almost no one is teaching it.

Those observations became a short piece I wrote about sixteen years ago. I am revisiting it now because the problem has not gone away. It has grown more urgent — and the accelerant is artificial intelligence.

The real crisis sits underneath all the others

Let me say it plainly. The most critical issue facing businesses today is not financial pressure, access to capital, supply-chain fragility, the labor market, or competitive intensity. Those are real, and they demand attention; no responsible leader ignores them. But underneath each of them lies the same quieter problem: a deficit in critical thinking. If you cannot think well, you cannot decide well — and business is, at bottom, a long sequence of decisions made under uncertainty.

Here is my claim about the moment we are in: the biggest issue facing business isn’t AI. It is whether we still have the critical thinking skills to put AI to work for genuine value. AI does not fix weak thinking. It scales it.

First, what critical thinking actually is

“Critical thinking” has become one of those phrases everyone nods at, and no one defines. The most useful definition I know comes from Richard Paul and Linda Elder of the Foundation for Critical Thinking, who describe it simply as the art of analyzing and evaluating thinking with a view to improving it (Paul & Elder, 2010). It is, in other words, thinking about your own thinking while you think — and holding it to a standard.

Their framework gives standard teeth. It has three working parts (University of Louisville, n.d.):

• The elements of reasoning — every act of reasoning has a purpose, a question at issue, assumptions, a point of view, information, concepts, inferences, and implications. Skilled thinkers can name these in their own thinking and in others’.
• The intellectual standards — clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness. These are the questions you press a claim against: Is it accurate? Relevant? Deep enough? Fair?
• The intellectual traits — the dispositions that develop when you apply the standards consistently: intellectual humility, courage, perseverance, and fairmindedness. Critical thinking is not just a skill set; it is a character.

Notice what this is not. It is not cynicism, and it is not raw intelligence. It is a disciplined habit of mind that can be taught, practiced, and — this is the uncomfortable part — lost through disuse.

One clarification from my own training belongs here, because it maps onto the lateral, creative, and critical thinking that schools so rarely cultivate together. The Paul-Elder framework is largely the evaluative half of good thinking — the discipline of judging ideas well. Edward de Bono’s work supplies the generative half — deliberately producing better options and seeing a situation from the angles your default thinking would skip (his Six Thinking Hats and the simple Plus-Minus-Interesting scan are the tools I taught most often). Strong thinkers need both. Train only the creative side, and you get undisciplined imagination; train only the critical side, and you get sharp critique with nothing worth critiquing. The professional who can both generate real alternatives and evaluate them rigorously is the one whose decisions hold up.

Why we have a thinking problem

If critical thinking is so plainly valuable, why is it in short supply? Three forces work against it, and they reinforce one another.

1. Our schools train recall, not reasoning

For most of a student’s life, the rewarded behavior is recall. Curricula and accountability systems lean heavily on standardized, multiple-choice assessments because they are cheap to administer and easy to score — but those formats mostly measure whether a student can store a fact and return it on demand, not whether they can analyze, evaluate, or synthesize (Britannica, 2025). The predictable result is “teaching to the test”: information memorized for an exam and discarded the week after.

We optimize, in short, for a metric that does not drive actual performance — and the gap is widest in exactly the fields I work in and teach marketing, management, strategy, and the creative disciplines. Nobody in a real marketing role is handed four label answer choices. They are handed an ambiguous situation, incomplete data, competing stakeholders, and a deadline. The student who has only ever been rewarded for reciting the construct is unprepared to work within it. Lateral thinking, creative problem definition, and disciplined reasoning are rarely the things being graded, so they are rarely practiced.

Employers feel this directly. In a widely cited survey of business executives, 78% named critical thinking and analytic reasoning the single most important capability they want in employees — yet only about a third judged graduates well prepared in it, the largest readiness gap of any skill measured (Hart Research Associates, 2018). The gap has not closed since. The National Association of Colleges and Employers continues to find a sizable disconnect between how prepared graduates believe they are and how prepared employers find them (NACE, 2025), and a 2024 study of HR leaders found roughly nine in ten rank critical thinking among the traits they most need in new hires while many graduates feel underprepared in precisely those areas (Workplace Intelligence & Hult International Business School, 2025). Tellingly, educators and employers do not even agree on the diagnosis: educators emphasize soft skills, while employers emphasize job-ready capabilities, leaving graduates caught in the middle (Cengage Group, 2025).

2. Our culture rewards speed and certainty, not reflection

School is only part of it. The wider culture does not prize critical thinking either — it prizes speed and certainty. We live inside an attention economy engineered to reward the fast reaction over the considered judgment, the confident hot take over the careful question, the thirty-second clip over the long argument. Platforms optimize for immediate engagement, which nudges all of us toward rapid consumption and away from sustained focus and reflection (Denny Center for Democratic Capitalism, 2025).

Daniel Kahneman gave us the vocabulary for the cost. Most of our mental life runs on “System 1” — fast, intuitive, effortless — while genuine critical thinking lives in “System 2,” which is slow, deliberate, and metabolically expensive (Kahneman, 2011). A culture that conditions us to react in seconds is a culture that quietly trains System 2 out of us. We get very good at having opinions and very bad at examining them. In business, that shows up as decisiveness mistaken for judgment and confidence mistaken for analysis.

3. Our organizations confuse confidence with competence

The third force is the one we build ourselves. Inside companies, we tend to reward the person with the quick, polished, certain answer over the person who asks the better question. Meetings favor the articulate over the accurate. We promote conviction. We are uncomfortable with “let me think about that,” and downright allergic to “I don’t know yet.” Over time, this teaches capable people that the performance of thinking is safer than the work of thinking. It is a cultural habit, and like any habit, it can be unlearned — but only if leaders decide to reward the question, the disconfirming evidence, and the well-defined problem as much as they reward the confident pitch.

AI is an accelerant, not the cause

Which brings me back to the present. When I first made this argument, the threat to critical thinking was mostly passive — a culture and an education system that simply did not cultivate it. Generative AI changes the equation because now we have a tool that will happily do the thinking for us, instantly and fluently, whether or not the thinking is any good.

The early research is sobering. In a study of 319 knowledge workers, researchers at Microsoft and Carnegie Mellon found that the more confidence people placed in a generative AI tool, the less critical thinking they applied to its output — whereas those with greater confidence in their own judgment engaged more critically (Lee et al., 2025). A separate study of 666 participants found a strong negative relationship between heavy AI use and critical thinking, with “cognitive offloading” — the habit of handing mental work to a device — as the mechanism (Gerlich, 2025). And an MIT Media Lab experiment using EEG found that people who wrote with AI assistance showed lower cognitive engagement and then performed worse when later asked to work without it, a pattern the authors called “cognitive debt” (Kosmyna et al., 2025).

This is not a new species of risk; it is an old one at a higher speed. Engineers have long known the “irony of automation”: when you mechanize routine work and leave only the exceptions to humans, you also strip away the daily practice that keeps human judgment sharp — so the operator is least prepared at the moment they are needed most (Bainbridge, 1983). Calculators offloaded arithmetic. GPS offloaded navigation. AI offloads reasoning itself — and reasoning is the thing that separates a professional from a clerk.

This is exactly why, in the talks I give to business owners, I keep returning to one line: AI is the tool; critical thinking is the map. A tool with no map just gets you lost faster. The same framing carries the warnings every operator now needs to internalize — hallucinations, “workslop,” and confidently inaccurate conclusions. Be curious with these tools, lean on them, let them enhance your work — but do not let them replace your thinking, and triple-check the output precisely when it sounds most convincing.

The distinction I draw is between being AI-native and AI-dependent. The AI-native professional brings judgment to the tool and gets leverage; the AI-dependent professional brings the tool in place of judgment and gets exposure. AI does not replace judgment — it enhances it. The orchestra has gotten extraordinary; the owner is still the conductor.

How business should think about critical thinking

Most organizations file critical thinking under “soft skills,” somewhere near “culture fit” and “communication.” That category is part of the problem. Soft skills sound optional and unmeasurable — nice if you have time. Critical thinking is neither optional nor unmeasurable. It is the core operating capability that determines the quality of every decision the business makes, and in an AI-saturated market, it is fast becoming the primary differentiator between firms.

Consider the logic. AI is rapidly commoditizing execution — the drafting, summarizing, and the first-pass analysis. When everyone can generate a competent deck in minutes, competitive advantage shifts upstream, to the quality of the questions asked, the problems defined, the assumptions challenged, and the outputs verified. Those are critical-thinking acts. The firms that win the AI era will not be the ones with the most access to the tools — nearly everyone will have that. They will be the ones whose people can think well enough to point the tools at the right problems and judge the answers that come back.

So I would urge leaders to treat critical thinking the way they treat any other strategic capability: name it, measure it, build it deliberately, and reward it. Make “define the problem before you solve it” a standard. Ask, in reviews, not only “what did the analysis say” but “how did you stress-test it.” Treat the well-framed question as a deliverable. The capability you do not name, and measure is the capability you will not develop.

What I think we should do

None of this is hopeless. Critical thinking is teachable, and the same disuse that erodes it can be reversed by deliberate practice. Here is where I would start.

1. Design educational experiences around an orientation of learning and processing, not retention and recital. Replace as many multiple-choice assessments as we can with case analysis, open-ended problems, structured debate, and projects where the reasoning itself is graded — not just the final answer. Reward students for naming assumptions, defining problems, and showing their work, the way real professional life demands.
2. Make AI a thinking partner, not a thinking substitute. Teach people to use these tools the way the strongest users do — to argue with the output, to ask it for counter-arguments, to verify before they trust. The discipline to engage AI critically is itself a teachable skill, and it is the one that converts the tool from a liability into leverage.
3. Build critical-thinking fluency into onboarding and ongoing development. A practical internal program has three legs: critical-thinking fundamentals, practical AI literacy, and a “still-do-it-without-AI” baseline of skills people keep sharp on their own. Give teams a shared vocabulary — the elements and standards above are a fine place to start — so that “what’s the question at issue here?” becomes a normal thing to say in a meeting.
4. Reward the question, not just the answer. Leaders set the incentives. If we want better thinking, we have to make it safe — and even prestigious — to say “I don’t know yet,” to bring disconfirming evidence, and to slow a decision down long enough to define the problem correctly. Culture follows what we celebrate.
5. Protect the conditions for slow thinking. System 2 needs room. Some of the most valuable work a knowledge worker does is the reflection that an always-on, notification-saturated environment makes nearly impossible. Defending blocks of uninterrupted, screen-light time is not a wellness perk; it is a performance investment.

The bottom line

Sixteen years ago, I worried that we were producing credentialed professionals who could recite frameworks but not reason with them. Today, that worry is sharper because we have handed those same professionals a tool that will do reasoning for them — fluently, instantly, and sometimes wrongly. The danger was never that AI would think for us. The danger is that we would let it and slowly forget how to do it ourselves.

The good news is that this is a choice, not a fate. The organizations and the people who decide to keep thinking — who treat judgment as something to be stewarded rather than outsourced — will not just survive the AI era. They will be the ones who capture its value. The tool is remarkable. But the most critical capability in business is still the one between your ears, and it is worth protecting.

References

Bainbridge, L. (1983). Ironies of automation. Automatica, 19(6), 775–779.

Britannica. (2025). Standardized tests — Top 3 pros and cons. ProCon.org. https://www.britannica.com/procon/standardized-tests-debate

Cengage Group. (2025). 2025 graduate employability report. https://www.cengagegroup.com/news/press-releases/2025/cengage-group-2025-employability-report/

de Bono, E. (1970). Lateral thinking: Creativity step by step. Harper & Row.

de Bono, E. (1985). Six thinking hats. Little, Brown.

Denny Center for Democratic Capitalism. (2025). The attention economy and the collapse of cognitive autonomy. Georgetown Law. https://www.law.georgetown.edu/denny-center/blog/the-attention-economy/

Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1).

Hart Research Associates. (2018). Fulfilling the American dream: Liberal education and the future of work. Association of American Colleges & Universities.

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Kosmyna, N., Hauptmann, E., Yuan, Y. T., et al. (2025). Your brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant for essay writing. MIT Media Lab. https://arxiv.org/abs/2506.08872

Lee, H.-P., Sarkar, A., Tankelevitch, L., et al. (2025). The impact of generative AI on critical thinking: Self-reported reductions in cognitive effort and confidence effects from a survey of knowledge workers. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’25). ACM. https://www.microsoft.com/en-us/research/publication/the-impact-of-generative-ai-on-critical-thinking/

National Association of Colleges and Employers. (2025). The gap in perceptions of new grads’ competency proficiency. https://www.naceweb.org/career-readiness/competencies/the-gap-in-perceptions-of-new-grads-competency-proficiency-and-resources-to-shrink-it

Paul, R., & Elder, L. (2010). The miniature guide to critical thinking concepts and tools (6th ed.). Foundation for Critical Thinking Press.

University of Louisville. (n.d.). Paul-Elder critical thinking framework. Ideas to Action. https://louisville.edu/ideastoaction/programs/about/criticalthinking/framework

Workplace Intelligence & Hult International Business School. (2025). The college graduate skills study. https://workplaceintelligence.com/college-graduate-skills-study/