AI isn't coming for the CEO role. It's coming for the parts of it that were never really strategic in the first place: report synthesis, scenario modelling, board deck preparation, competitive monitoring. These are tasks that consumed significant executive time and attention. AI handles them faster and often more thoroughly than a team of analysts. What remains is the work that was always the actual job: making judgment calls under uncertainty, building the culture and trust that let an organisation execute, and being accountable when things go wrong. No language model does that.
What's already being automated
Cascade is an AI-powered strategy execution platform used by organisations including PepsiCo and US Bank. It connects strategic plans to operational data, surfaces performance issues before they escalate, and gives leadership teams a live view of how strategy is tracking against reality.
WorkBoard is an enterprise OKR and strategy execution platform that uses AI to align teams, track goal progress, and generate automated summaries for executive review cycles.
Perplexity is used by executives as a real-time research and competitive intelligence layer, providing sourced summaries of market developments, competitor moves, and emerging risks faster than a traditional analyst workflow.
What the research actually says
PwC's 2026 Global AI Jobs Barometer found that companies most exposed to AI have seen 40 percent higher productivity growth than those least exposed since 2022. The same study found that skills like judgment and leadership are increasingly rewarded, with the most AI-exposed roles demanding traditionally senior capabilities at earlier career stages. An NBER study of 6,000 C-suite executives found that while most reported using AI, typical usage was around 1.5 hours per week, suggesting most organisations remain far from capturing available gains.
The companies winning with AI aren't the ones experimenting. They're the ones that stopped experimenting and started building AI into how decisions actually get made.
Two people. Same title. Completely different week.
CEO A spends meaningful hours each week in meetings that exist to surface information they could get from a dashboard, reviewing reports that AI tools could generate automatically, and making decisions that are effectively delayed because the data synthesis hasn't caught up. Their team is busy producing the inputs. The executive is waiting on outputs that could be instant.
CEO B has rebuilt their information environment. Market and competitive data flows in real time. Board and investor reporting is AI-drafted and human-reviewed, not human-built from scratch. The time recovered goes into the work that actually requires the CEO: the calls that need a human voice, the culture decisions that set the organisation's direction, and the external relationships that no platform manages.
The question for any CEO right now is not whether to use AI. It's whether you're using it seriously. Identify the three to five workflows in your week that consume the most time producing information rather than acting on it. Those are the places to start, and the leverage from getting it right is significant.