At the very outset, let’s address the elephant in the room. Adopting an industry-agnostic rationale, several companies are unfortunately getting it wrong in terms of AI adoption. AI is being myopically used as an antidote to fallible Natural Intelligence, which is a short-term solution at best. Rather than complementing human expertise, AI is being deployed as a quick-fix to automate experience and independent thinking.
The true prowess of AI can be effectively harnessed if Executive Search firms keep in mind the following key pointers:
Replacing vintage with automation renders AI a likely long term loss
- Short term gain of perceived efficiency will falter in the face of long term loss in terms of definite absence of incisive depth
Time is a rare commodity and learning AI might affect performance benchmarks
- Sales is time-bound and time spared for learning will compete with revenue generating activities
Data quality and strategic implementation directly influences AI efficiency
- GIGO (Garbage In Garbage Out) will dilute the importance of the adoption exercise
Time freed up by AI adoption needs to be properly utilized elsewhere
- Absence of adequately planned business strategy will impair quality growth
Measuring AI’s impact on factors in addition to cost savings is needed
- Simply emphasizing cost savings may lead to other hidden challenges later on
Therefore, it is pertinent to note that AI should always be seen as a competitive advantage and not as a mere replacement tool. AI isn’t here to replace recruiters but to make them more effective.
The future of Executive Search isn’t AI vs Humans but AI + Humans.