The AI Conversation Is the Speed Conversation: How Executive Search Is Evolving

Earlier this year, I participated in Hunt Scanlon’s webinar, “Speed vs. Certainty: How Leading Search Firms Deliver Fast Shortlists Without Increasing Risk,” along with several other leaders in the search industry. During the hour-long session, we went deep into the impact that AI is having on executive search.  

Ultimately, the AI conversation is the speed conversation; AI has made search dramatically faster. A kickoff call can now become a job spec, a target company list, and candidate outreach materials within an hour, work that used to take days. However, this same speed can also increase the risk of making a bad hire. For CEOs and investors, the question isn’t whether your search partner uses AI. It’s whether they use it with judgment. 

Here are the key insights hiring teams need to know on how speed and AI are influencing executive search. 

1. Judge a search partner by its profiles.
   Increasingly, clients expect to see candidate profiles before a contract is signed, but the quality of those profiles varies widely. With AI tools readily available, nearly anyone with a recruiting background can produce a basic profile. A strong one demonstrates that your search partner understands the mandate, including why a particular archetype would or would not be the right fit. If you need a leader for a resource-constrained environment, a capable partner will show you someone with the opposite profile and explain why that person falls short. During the pitch, ask your search partner for sample profiles and why they were chosen. A weak profile is a warning sign, while a thoughtful one is strong evidence of the judgment you are paying for.
   
2. Prioritize speed, but not at the expense of alignment.
   AI compresses research timelines, but it cannot create alignment between the search team and the client. Open questions about must-haves, non-negotiables, and stakeholder expectations still have to be resolved through direct, human conversation. Moving too quickly, or relying too heavily on AI, can produce a lot of activity that feels like progress but ultimately sends both parties back to the table to rework the mandate. Time invested in alignment at the outset pays off, because the rest of the process moves faster.
3. Beware of the obvious and the available.
   When timelines are compressed, it is tempting to lean on candidates who are already visible or actively looking. However, the strongest leaders are often the hardest to reach, and getting in front of them requires relationships built over time. As Sean Bannery of Caldwell Partners put it, “Just because these are the first five people doesn’t mean they’re the five best people.” Investors, executives, and boards should be realistic about timelines and build enough time into the search process to develop a deep candidate bench.
4. Judgement, not just data.
   Given ubiquitous AI access, candidate data is not what differentiates search firms from in-house recruiting. It is judgement. A candidate slate is only valuable if it improves decision-making. A great search partner goes beyond the resume to answer three questions: Can this person do the job? Do they fit the ownership model, board dynamics, and company stage? And do they genuinely want the role? That added layer of expertise and evaluation helps internal hiring teams get to the right decision more quickly. To evaluate whether your search partner is bringing their judgement to the table, ask:
   
   • • Can you show me sample profiles, and explain why you chose each one? 
   • • How will we align on must-haves and non-negotiables before you go to market? 
   • • How are you building a bench beyond the obvious and available candidates? 
   • • How will you assess fit with our ownership structure, board, and stage of company? 
   1. • What governs how AI tools touch our confidential data?

5. Ask how your data is protected.
   Confidentiality, objectivity, and bias are real concerns when a firm handles sensitive client, candidate, and compensation data. Investors, executives, and boards should look for search partners that have been disciplined in how they adopt AI tools. A long and ever-growing list of tools along with a lack of governance can be a warning sign, because unvetted access to AI tools can mean greater risk. The right question is not how many tools a firm uses, but whether each one improves the work and has been thoughtfully implemented to safeguard the data entrusted to it. 

Information and speed are becoming commodities. Judgment is not, and neither are the relationships that get the right person to take your call. The firms that use technology to free up time for the human work, understanding what great looks like, advising on trade-offs, and helping the right leader say yes, will be the leaders.