A Counterintuitive Discovery From Inside the AI Marketplace
When Ademola Odewade began working as a contracted expert evaluator for a frontier AI evaluation marketplace in July 2026, he expected the experience to confirm what most executives already believe: that broad experience and senior judgement carry the most weight in a world increasingly run by algorithms. Instead, the chartered accountant and founder of K-Dems Consulting found the opposite. In the world of AI evaluation, narrow and deep beats broad and senior, almost every time.
Odewade has been promoted across three successive engagements in three months, moving from generalist evaluator to office expert, and earned certification in AI agent evaluation in September 2026. That trajectory gave him a front-row view of how frontier labs actually value professional judgement once it is put to the test against a machine, rather than assumed because of a job title.
Four Rungs in Two Years
According to Odewade, the nature of AI evaluation work has climbed four distinct rungs in roughly two years. It began with straightforward data labelling, moved to grading the output of AI models, then to writing the rubrics that other evaluators use to grade by, and now includes designing the tests these systems are meant to fail. Each rung has demanded a deeper, more specific kind of expertise than the one before it, and each has paid accordingly.
What surprised Odewade was who commands the premium at the top of that ladder. It is not, as conventional career thinking might suggest, the generalist executive with two decades of leadership experience across multiple functions. It is the specialist, someone eight years deep in one narrow domain, who can explain precisely why a plausible-sounding answer is actually wrong. Frontier AI labs are not paying for breadth. They are paying for the kind of judgement that can be defended, line by line, under scrutiny.
“The skill being priced is not what you know,” Odewade has said of the work. “It is whether you can explain why a wrong answer is wrong.” That distinction, between knowing something and being able to prove it under examination, has become the organizing idea behind much of his current thinking about where professional value is headed.
A Warning for Senior Professionals
The implications extend well beyond the AI evaluation marketplace itself. Odewade argues that the same dynamic is beginning to show up across professional services more broadly. As AI systems absorb more of the work that used to be done by junior staff, from research to first-draft analysis to routine reporting, the career ladder that once trained generalist executives is losing its lower rungs. Professionals who spent their careers accumulating broad, shallow oversight experience may find that experience worth less than they expected, while professionals who went deep in a specific, defensible area of expertise may find themselves more valuable than ever.
This is a central theme of Odewade’s second book, The AI-Powered Future of Work, publishing October 2026, which introduces a framework called EXPERT built around six components across three stages: diagnosing expertise and exposure, qualifying it through proof and eligibility, and sustaining it through rate and trust. The framework is designed to give individual professionals, not just organizations, a structured way to figure out where they stand and what to do about it.
Eight Years at PwC and KPMG
Odewade’s own career illustrates the pattern he now writes about. He spent eight years in professional practice, first at PwC and later at KPMG, building the kind of specific, checkable technical expertise in audit and financial controls that underpins his current authority. When he left that world to found K-Dems Consulting in London in 2025, he did not leave the specialization behind. He simply redirected it toward small and mid-sized businesses that need enterprise-grade financial discipline but lack the internal resources to build it themselves.
That grounding is part of why Odewade is cautious about applying his AI evaluation findings too broadly. He is careful to frame his observations as evidence from a specific vantage point rather than sweeping predictions about the entire labor market. But for the finance leaders and senior professionals who make up much of his audience, the core warning holds regardless of industry: generalist seniority is no longer a guaranteed source of value in an AI-saturated market, and the professionals who will come out ahead are the ones who can point to something specific, deep, and verifiable that a machine cannot yet replicate.
Evidence, Not Commentary
What gives Odewade’s perspective weight is that it comes from direct experience rather than outside observation. He is not speculating about how AI labs value expertise. He is one of the professionals being evaluated, promoted, and paid according to that exact standard, in real time, while simultaneously advising his own clients on how to build the same kind of defensible judgement into their businesses.
He also hosts two podcasts, The King Dems Podcast and Diary of a CFO, both ranked in the global top 2 percent on ListenNotes, where guests including Professor Dave Ulrich of the University of Michigan’s Ross School of Business and Dr. David Rock of the NeuroLeadership Institute have explored related questions about leadership and organizational change in an AI-driven era. Across more than 200 combined episodes, the two shows have reached listeners in over 130 countries.
Odewade’s message to senior professionals watching the AI conversation unfold is not to panic, and not to assume seniority alone will protect them. It is to get specific. In a market where fluent, confident content is cheap and increasingly automated, the professionals who thrive will be the ones who can be checked, questioned, and proven right, one narrow, well-defended judgement call at a time.
Follow Ademola Odewade on LinkedIn and Instagram for more on his work at the intersection of AI and finance leadership.