In Fortune on 20 May 2026, Karen Kornbluh (Senior Advisor, Milken Institute) and Libby Rodney (Chief Strategy Officer, The Harris Poll) released a survey reading that, taken in isolation, is one of the more uncomfortable workforce numbers of the year. Sixty-eight percent of workers say they feel they are navigating the AI transition entirely alone. Forty-one percent received zero employer AI support in the past year. Eighty percent want their government to start preparing workforce transition programmes now. The line between the people running organisations and the people doing the work has rarely looked further apart.
Stitched onto two other primary sources, the picture sharpens. The IMF estimates that over 60% of jobs in advanced economies are already exposed to AI. A Stanford study, picked up by the same Fortune piece, finds that workers aged 22 to 25 in AI-exposed occupations have already experienced a 16% drop in employment. The transition is not theoretical. It is in the dashboards now, and the conversation about what it means for the person in the chair is largely not happening.
Why It Is A Conversation Gap, Not An AI Gap
The default reading of these numbers is to argue about the technology. Should companies roll out AI faster, slower, more widely. Should governments subsidise. The Milken-Harris finding is more uncomfortable: 88% of business leaders say no single company can solve AI workforce readiness alone, and 68% of leaders expect to be better off in five years, while only 27% of workers do. The leaders know they cannot fix it on their own. The workers feel that. What is missing is the conversation about the part each manager, in each one-to-one, can still own.
That conversation has a behavioural shape. It is not a town hall, and it is not an FAQ. It is the moment a manager sits with a team member whose job has already been partly automated, names that fact, and works out together what the next twelve months looks like. Gallup's 2026 State of the Global Workplace sits next to this directly. Employees whose managers actively support their team's use of AI are 8.7 times as likely to say AI has transformed how work gets done. The manager layer is the lever. The Milken-Harris number is what happens when that lever is not pulled.
Edmondson's 1999 work, in Administrative Science Quarterly, defined psychological safety as the belief that speaking up will not lead to embarrassment, rejection or punishment. In a workplace where 41% can name no AI support and 68% feel alone, the calculus of speaking up about a deskilling job is exactly what Edmondson described. Most people sit on it until they can no longer.
What Most Organisations Try
The default response is policy. An AI use policy, an AI ethics statement, an internal portal full of e-learning modules. The policy goes out. Adoption metrics are tracked. The conversation that would actually move the number, the one between a line manager and a team member about what their job is becoming, does not happen, or happens once badly and is not repeated.
This is a known behavioural pattern, not an HR failure. Roediger and Karpicke (2006), in Psychological Science, showed that being tested on material lifts long-term retention by roughly 50% compared with re-reading. A two-hour AI policy briefing is the re-reading kind. A manager rehearsing the actual sentences they will use with a worried team member, against feedback, is the testing kind. One of them holds under stress. The other does not.
Anders Ericsson's Peak (2016) goes further. The first-reaction behaviours that make a hard one-to-one land, naming the change in plain language, asking what the person is worried about before answering, sitting with the silence that follows, change only with deliberate practice. They do not change with insight.
What Actually Works
In Sidestream's own academic behaviour-change work, building on research from UCL, Cambridge and Bocconi, immersive role-play was roughly 20% more effective than passive modalities at building communication skill, and self-rated confidence did not predict observed performance. We design the self-report out by measuring the behaviour.
Applied to AI-transition conversations, the format is small group, one or two professional actors playing a deskilled administrator, a sceptical engineer, a quietly resentful long-tenure hire. Three or four full conversations, replayed with feedback against named behavioural anchors. By the third rehearsal the manager's first move is to ask the question, name the shift in the role, and stay in the silence. The 68% who feel alone do not feel alone because their manager is not trying. They feel alone because no one has rehearsed the conversation.
What We Do About It
Our immersive simulations and manager workshops are designed for exactly the rooms where the AI conversation has been postponed. Read also our piece on the Gallup 8.7x manager-AI multiplier for the manager-layer angle, or our Microsoft 26% piece for the leadership-alignment angle.
The 68% are not alone because the technology is moving fast. They are alone because the manager conversation has not been rehearsed, and policies are not conversations.
The organisations that hold their workforce through the next eighteen months will not be the ones with the cleverest AI policy. They will be the ones where every manager has rehearsed, out loud, the conversation a worried team member is already trying to start. Book a call to look at what that rehearsal would look like in your organisation.
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