Director & Head of Tech-Enabled Business
Grassik Search
The way organisations hire is changing fast. Recent industry analysis suggest that a growing share of employers now use AI in some stage of hiring, particularly for sourcing, screening, and communication, with adoption in HR and recruitment tasks increasingly at a fast pace. AI assists in faster screening, easier access to specialised talent, & the ability to handle large volumes of applications with limited manual effort. But as hiring becomes more efficient, an important question emerges: is the process also becoming less authentic, especially at the leadership and C‑suite level?
Where AI really helps
In tech‑driven and product‑led businesses, the demand for specialised talent is constant. Roles such as machine learning, data engineering, cyber security and digital infrastructure require very specific skills that are often time‑consuming to find.
Here, AI tools can add real value:
- They scan thousands of profiles in minutes instead of days
- They recognise related skills and experience, even when candidates use different terminology
- They help recruiters build stronger initial pipelines and reduce time‑to‑hire
For high‑volume or highly specialised searches, AI brings structure and predictability. It can match core competencies to job requirements at a scale no human team can manage manually, allowing recruiters and hiring managers to focus their energies on influencing & assessments.
The “AI vs AI” paradox
However, candidates are no longer passive in this transformation. Many now use generative AI tools to refine resumes, tailor cover letters and even draft responses for assessments and emails. Employers and jobseekers are increasingly using AI in their hiring interactions, from automated screening on the employer side to AI‑assisted CV and content creation on the candidate side. This creates a paradox; an AI‑optimised application goes into an AI‑powered applicant tracking system where both ends are relying on patterns, templates, and keyword logic.
In such a system, telling the difference between genuine depth of experience and a carefully engineered profile becomes harder. Over time, candidate profiles can start to look and sound similar. If organisations rely too heavily on automated filters, they risk missing out on talent that genuinely fits the role.
Why leadership hiring is different
This tension is most visible in leadership and C‑suite hiring. Executive roles differ significantly from volume hiring for junior or mid‑level positions.
For leadership search, AI can be used to aide specific parts of the hiring process:
- Verifying basic credentials and career progression
- Mapping the market for people with specific role titles, team sizes or industry exposure
However, it struggles with the softer aspects of a candidature like behavioural aspects, how they react to a particular situation, are they able to inspire teams or do they purely manage teams? among other things.
Gauging behavioural aspects requires a nuanced understanding of not just what happened, but how and why it happened, as well as the trade‑offs made along the way. Current AI tools are not yet capable of reliably assessing these elements in a way that can replace human evaluation.
There is also a reputational risk. Over‑reliance on automated filters at senior levels can result in unconventional but high‑potential leaders being filtered out early simply because they did not follow a linear path or use the “right” language. The very people who may help an organisation navigate disruption may never make it onto the shortlist.
Blending technology with human judgement
Because of these limitations, the most effective organisations are designing hybrid models that blend the strengths of both. While a large majority now use AI for at least one part of their hiring process, most still view human decision‑making as critical for final selection, especially for senior to leadership roles.
In leadership hiring, human judgement should remain the final filter. Once AI has helped identify a relevant long list, experienced search professionals and business leaders, need to:
- Explore the story behind the CV, including context, failures, and key decisions
- Test strategic thinking and problem‑solving in live, unscripted conversations
- Assess culture fit, values and leadership style over multiple interactions and reference checks
Transparency matters as well. Candidates should know which parts of the process are automated and where humans are actively involved in evaluating them. Clear communication around this helps build digital trust and reinforces the employer brand.
Keeping authenticity at the centre
AI will continue to reshape hiring in the coming years. Adoption is growing, tools are becoming more sophisticated, and the pressure to move faster is not going away. But in leadership recruitment, the real advantage will belong to organisations that understand where automation adds value and where human insight & the capability to bring relevant talent on the table are irreplaceable.
When AI is used to handle scale, clean up information and remove friction from the early stages of hiring, it creates the space for humans to do what only they can do: read context, understand character and judge long‑term potential. Organisations that strike this balance will build leadership teams that are not just high‑performing on paper, but grounded in real values and credibility. In executive search, authenticity is more than a talking point, it is the basis for trust, resilience and sustainable performance in an unpredictable world.
Authored by Sahil Thakur, Director & Head of Tech-Enables Business, Grassik Search