As AI changes the work, what should change in your leadership team?
How can your CTO lead on AI when they already have a full agenda? How do you determine whether a candidate's AI experience goes beyond a confident interview? And how do you define what you need from a leader when the same title means different things across your portfolio?
These are the kinds of questions JM Search's experts are working through in executive searches and conversations with CEOs, boards, and investors. The details matter: what a leader will own, what they've delivered, and whether their experience fits the work your business needs done.
You may be defining your first AI leadership role, assessing talent across your portfolio, or reconsidering what to expect from your current team. This collection brings together our experts' perspectives on those decisions, from setting a realistic hiring mandate to developing finance talent when technology takes on work that once taught people the business.
Inside the Collection: AI and Executive Leadership
- Before you write the job description.
The decisions about objectives, ownership, and scope that help define a viable role – and why expecting one executive to handle every aspect of AI can complicate your search. - Beyond a confident interview.
How to distinguish hands-on experience from surface-level fluency and assess the judgment to recognize where the technology gets things wrong.
- Around the leadership table.
What AI adoption asks of your CFO, CHRO, legal leader, and CTO, from developing talent and earning employee trust to establishing governance and making time for execution.
- Within your industry.
Perspectives from healthcare, retail, legal services, sports, and fintech on the operating realities that shape technology and talent decisions.
- During your next executive search.
How AI supports research and candidate discovery, alongside the references, assessment, and conversations that help you understand how someone will lead.