The vocabulary of drift versus design, defined by the person who uses it on stage.
Capability debt
Capability debt is the accumulated cost of decisions not made, skills not developed, and judgement not exercised. Like technical debt, it is invisible while the system runs and expensive the moment it is tested, and it accrues in five forms: accountability debt, skill debt, dependency debt, trust debt and culture debt. It comes due when you can least afford it, because the moment that requires human judgement is rarely scheduled. The term was introduced by Rahim Hirji and is developed in SuperSkills (Kogan Page, 2026). Read the full framework.
Drift versus design
Drift versus design is the difference between an organisation that adopts AI through a thousand small decisions nobody quite made, and one that decides in advance where human judgement has to remain. Drift is not incompetence; it is competence with no one behind it, because every individual step is reasonable and only the accumulation is not. Where an organisation sits depends on two things: awareness of what is shaping its choices, and the agency to act on what it sees. The framework was introduced by Rahim Hirji and is developed in SuperSkills (Kogan Page, 2026). The four positions are the Sleepwalkers, the Programmed, the Stuck and the Designers. Read the full article.
The Half-Life of Skills
The half-life of a skill is the time it takes for half of its value to decay. The idea long predates AI in workforce literature, but the interval has compressed to the point where a capability learned at the start of a role can be worth half as much by the end of it. The response is not faster reskilling but building the capabilities that do not decay: the human skills underneath the technical ones. The idea is developed in SuperSkills (Kogan Page, 2026).
The missing rungs
The missing rungs are the junior tasks that used to build senior judgement, removed by automation before anyone noticed they were load-bearing. Every profession has a ladder, and the lower rungs were never really about the output; they were the repetitions that made someone good. Organisations that automate the bottom of the ladder without deliberately building new rungs discover the gap only when they need someone to have climbed it. The term was introduced by Rahim Hirji and is developed in SuperSkills (Kogan Page, 2026). Read the full article.
The Reverse Singularity
The Reverse Singularity is the inversion of the story we were told: not machines becoming human, but humans becoming machine-like. The singularity everyone watched for was the moment AI matched us; the one that actually arrived is the slow standardisation of people into predictable, optimisable, interchangeable units of output. It matters because it is happening in the direction nobody is monitoring, one process at a time, and the people it reshapes are usually the last to notice. The term was introduced by Rahim Hirji in 2025 and is developed in SuperSkills (Kogan Page, 2026).
Synthetic seniority
Synthetic seniority is when a junior professional produces work that looks like it came from someone with ten years of judgement, except the judgement is the model's. The work product is senior; the person is not, because the pattern recognition and contextual wisdom that used to come with producing the work were never built. The organisational consequence is a pipeline that looks productive for three years and produces no senior people in fifteen. The term was introduced by Rahim Hirji and is developed in SuperSkills (Kogan Page, 2026). Read the full article.
The Unclaimed Hour
The Unclaimed Hour is the capacity AI creates that nobody decides how to use. Every automation returns time, and in most organisations no one owns the question of where that time goes, so it is absorbed silently into more of the same. Where nobody decides, drift decides. The question for a leadership team is not how much time AI saves but who has claimed the hour. The term was introduced by Rahim Hirji in 2026. Read the full article.
Usage Theatre
Usage Theatre is what organisations perform when they cannot measure the value of AI and measure its use instead. Adoption dashboards rise, licence counts become KPIs, and employees learn to perform the metric rather than improve the work. Much of the adoption is real; what is being performed is the usage. The measure of an AI programme is whether decisions got better, and that is harder to count, which is exactly why so few organisations count it. The term was introduced by Rahim Hirji in 2026. Read the full article.
The Verifier's Discount
The Verifier's Discount is what happens to the value of human work when the machine produces and the human checks: the accountability stays with the person while the pay and the status are repriced downward. The mechanism is subtle because verifying is real work, often harder than producing, but it is invisible in the output. Organisations that treat verification as residue rather than as the judgement layer end up paying least for the work they depend on most. The term was introduced by Rahim Hirji in 2026. Read the full article.