Here is the irony that keeps me up at night. The decade between forty-nine and fifty-eight represents, for most knowledge workers, the peak of what psychologists call crystallised intelligence: the accumulated, pattern-recognising, context-integrating intelligence that only comes from having seen a great deal and thought carefully about what it means. It is precisely the kind of intelligence that the most complex problems require. And it is precisely the kind of intelligence that contemporary hiring systems are structurally designed to miss.
Applicant Tracking Systems, ATS, are now the first filter for the majority of corporate job applications in the developed world. These systems parse CVs for keywords, grade candidates against predefined criteria, and rank applications before a human eye has seen them. They are built on historical data: past hiring decisions made by human beings, encoded into algorithmic rules. The problem is that historical hiring decisions were themselves biased, toward youth, toward recency, toward signals that correlate with age in ways that the system then perpetuates. A CV that lists a degree from the 1990s, or that shows a long tenure at one organisation rather than the rapid job-hopping that characterises younger careers, can disadvantage the candidate algorithmically before any human considers their actual capabilities.
The US Equal Employment Opportunity Commission has raised concerns about this dynamic. Several state-level regulators have begun requiring organisations to audit algorithmic hiring tools for disparate impact on protected categories, including age. The EU's AI Act introduces disclosure requirements for high-risk AI systems used in employment contexts. The regulatory attention is welcome, but it moves slowly. In the meantime, experienced professionals navigating the job market need to understand the environment they are operating in.
Let me say something clearly about crystallised intelligence, because it tends to get lost in conversations about midlife careers. This is not a consolation concept. It is a measurable cognitive capacity that researchers including Raymond Cattell and John Horn spent decades documenting. Fluid intelligence, the ability to solve novel problems quickly and learn entirely new systems from scratch, does peak in early adulthood and declines gradually thereafter. Crystallised intelligence does the opposite. It builds through experience, continues accumulating well into the fifties and sixties, and in many domains does not peak until the mid-fifties. The ability to recognise which of the current problems is actually an old problem in new clothing, and to synthesise across disciplinary boundaries, takes decades to develop. That is not a soft skill. It is genuinely rare.
The practical question is how to communicate that in an environment looking for something different. The most consequential change you can make is to reframe your experience in contemporary language. "Led cross-functional teams" becomes "drove delivery across product, engineering, and commercial teams." The substance is identical. The framing signals currency. Beyond language, removing graduation years from your CV removes one of the most direct age signals a system can parse. And quantifying outcomes wherever possible, "increased customer retention by 23% over two years" rather than "managed customer relationships," makes your record harder to dismiss algorithmically. The two-page CV is not a rule. It is a convention from a time before digital applications. A well-structured three-page document may serve you better than a compressed version that cuts the evidence of what you have actually done.
Beyond tactics, I think there is a more important strategic question: how do midlife professionals position themselves for roles where their particular form of intelligence is genuinely the scarce resource? I think of this as the Synthesiser position, the person who can see across organisational silos, who understands why the technical and the commercial are actually the same problem, who has enough experience from previous failed initiatives to spot what the current one is likely to miss. This is not a function that can be automated or replaced by someone brilliant who has not yet seen the cycle repeat. The strategic task is not to compete on the terrain where youth has the advantage, but to make visible the terrain where experience is irreplaceable.
In the Blobs of Six framework, the years between 49 and 72 carry a particular kind of professional authority. The Autumn phase is not about decline. It is about bringing everything accumulated in Summer to bear on problems that genuinely require it. The hiring system has not caught up with that reality. But the right organisations have.
Experience is worth fighting to communicate, not hiding. The instinct to minimise, to shorten dates, to soften tenure, to present yourself as somehow younger than you are, is understandable but strategically wrong. The organisations that will value what you actually bring are looking for evidence of exactly that. Make it findable.
The algorithm is not the final gatekeeper. Understanding how it works lets you write for both audiences: the machine that filters, and the human who decides. Neither should have to guess what you bring.
When you think about the experience that defines your working life, is it visible on your CV, or have you been editing it out to seem more palatable to a system that was not designed to see it?