AI Automated the Work. The Talking — and the Unprepared Managers — Are What's Left.
The News
The Predictive Index's 2026 AI and People Leadership Survey, conducted in July 2026 among nearly 400 managers and more than 200 CEOs, found a sharp disconnect in how prepared managers are for the human work AI has left behind. According to the survey reported by Recruiting News Network, 74% of CEOs and business leaders described their managers as 'very confident' handling tough conversations on their own — but only 20% of managers said they would prepare for one without a framework, coaching guide, or HR input. Forty-two per cent said they know what they want to say but struggle with how to say it. Anthony Belluccia, a behavioural scientist at The Predictive Index, said AI has automated 'most of the doing' — dashboards, coding, first drafts — leaving managers with the work AI cannot do: aligning teams, explaining change, giving feedback, and building trust.
Why It Matters
The survey captures a gap that is already reshaping what TA teams should be hiring for and developing in managers. If AI handles the analytical and administrative work, the remaining manager job is conversation — and most managers are not equipped for it. The 74%-versus-20% disconnect between CEO perception and manager self-assessment is the kind of blind spot that shows up in exit interviews, not dashboards. For TA leaders, the implication is twofold: hiring profiles for people managers need to weight conversational and judgement skills more heavily than they did when the job was half admin, and manager development budgets need to shift toward the skills AI does not provide.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your head of learning and development: review whether your manager training programmes spend more time on process and systems than on conversation frameworks, feedback techniques, and change communication. If the balance is wrong, you are training managers for a job AI has already half-emptied. Your head of leadership hiring: check whether your interview rubrics for management roles actually assess conversational skill — or whether they test competencies that an AI assistant could now handle.
Inspect
What to take a closer look at
Pull your most recent manager engagement survey or 360-degree feedback data. Look specifically at items related to 'has effective conversations with team', 'gives clear feedback', and 'explains change well'. If those scores are lower than operational or task-management scores, you have empirical evidence of the gap the Predictive Index survey describes — and your development spend is probably pointing the wrong way.
Reflect
What to think about more deeply
If AI has automated the work but not the conversation, why do most manager development programmes still teach process and almost none teach how to talk to a human being?