AI Fluency
Organizations invest in individual training, prompting workshops, capability assessments, tool certifications and still watch adoption stall because a team is not simply a collection of individually fluent people, and no amount of individual coaching resolves what needs to exists between a team.
AI Fluency
Barbra Kingori
Individual Fluency Isn’ t Enough. Marketing Needs Team Fluency!
This third piece in our series on marketing ' s AI transition looks at why a personally AI-fluent marketer still can ' t move a team that hasn ' t changed together.
Two articles ago, we mapped the three stages every marketing team moves through during the AI transition: Emerging Endings, the Messy Middle, and New Beginnings. One article ago, we went deep on the individual capability that determines whether a marketer makes good decisions with AI, drawing on Dr. Elena Alikhachkina ' s research into Digital Decision Fluency and the INFOAI™ and REAL™ frameworks behind it.
Here ' s the uncomfortable question that research raises but doesn ' t answer: what happens when you build real fluency in your best marketers, and the team still doesn ' t move?
It happens more often than most AI rollout plans account for. Organizations invest in individual training, prompting workshops, capability assessments, tool certifications and still watch adoption stall because a team is not simply a collection of individually fluent people, and no amount of individual coaching resolves what needs to exists between a team.
What Individual Fluency Can ' t Fix Alone
Elena ' s research is precise about what it measures: how one person works with information, and how that shows up in one person ' s leadership. That is genuinely
valuable, and our previous piece laid out why. But it has a boundary her research never claimed to cross: a team ' s ability to actually decide together, to trust a colleague ' s judgment call on an AI-generated segment, to agree on what " good enough " looks like before a campaign ships, to move at the same pace once a decision is made is a capability that belongs to the relationships between people, not to any one person inside them.
This is a well-established distinction in organizational coaching more broadly, and one worth taking seriously before the next AI training budget gets spent. Coaching one leader at a time, however skillfully, does not automatically produce a team that trusts each other ' s judgment, shares a standard for what counts as reliable evidence, or moves in step once a call is made. Those are properties of the system the people sit inside, not of the people themselves.
One CEO of a large international organization put this sharply, in an exchange later cited by leadership researcher Peter Hawkins: " Not in the parts or the people, but in the connections."( as recounted in Hawkins( 2017), Tomorrow ' s Leadership and the Necessary Revolution in Today ' s Leadership Development, Henley Business School.)
He was describing organizational challenges generally but it also applies just as precisely to why a marketing team ' s AI transition stalls even after the individuals in it have genuinely changed.
AI adds a specific twist to this. It doesn ' t just sit inside one role, it touches the handoff points directly: the segment a data lead builds, the creative a content lead approves, the recommendation a strategist has to defend to a client. Every one of those handoffs already required trust before AI arrived. AI just made the cost of missing trust visible faster, because there ' s now a machine-generated output sitting in the middle of it that
Organizations invest in individual training, prompting workshops, capability assessments, tool certifications and still watch adoption stall because a team is not simply a collection of individually fluent people, and no amount of individual coaching resolves what needs to exists between a team.
90 MAL74 / 26 ISSUE