Summary based on the article “The human element in hiring” published by Assessio.
Assessio highlights a key reality for talent acquisition. AI can make hiring faster and lighter from an operational standpoint, but when the process starts to feel impersonal, the candidate experience suffers, which, in turn, impacts selection: fewer qualified applications, more dropouts mid-process, and an employer brand that feels harder to trust. In short, efficiency only creates value when the process still feels human.
Efficiency gains are real, but candidate experience shapes selection outcomes
AI can streamline repetitive and time-consuming steps such as scheduling, pre-screening, and reporting. Yet Assessio points to a growing gap between the push for efficiency and what candidates need emotionally during a hiring journey. Many applicants want to feel understood, not reduced to data. Limited space for context, nuance, and explanation can make the process feel cold, and candidates disengage as a result.
Skepticism toward AI can reshape the applicant pool
Assessio cites strong reluctance toward AI-driven hiring, including findings that many people would refrain from applying if AI played a role in decision-making. This reluctance is especially pronounced among those who have not encountered AI in hiring before, suggesting that unfamiliarity fuels doubt. For selection teams, this is not a small issue. Candidates most likely to opt out are often those with options and bargaining power, meaning the process can unintentionally filter out exactly the profiles organizations want most.
The main concern is the “lack of human factor”
According to Assessio, the dominant concern is the perceived absence of a human element. Candidates worry that:
- the “intangibles” that shape success (collaboration, patience, kindness, how someone contributes to a team) will be overlooked
- rigid models or keyword logic will eliminate them before they can be understood
- AI errors or design flaws could create unfair outcomes
In these concerns, the ask is consistent: fairness, transparency, and the feeling of being evaluated as a whole person.
A strong selection design is hybrid, not fully automated
Assessio does not recommend abandoning AI altogether. Instead, it encourages balance. AI should support recruiters, not replace the relationship side of selection. When automation handles repetitive work, recruiters can spend time where it matters most: clarifying expectations, creating meaningful touchpoints, exploring motivation and context, and keeping communication clear and respectful.
There is also an important nuance. Many candidates see a potential upside when AI is used responsibly, especially around fairness and consistency. Skepticism is real, and openness grows when the process is transparent and well-designed.
What this means for talent acquisition teams
Assessio’s takeaway is that AI adoption is not just a technological choice. It is a candidate experience and selection choice. Strong outcomes come from keeping AI in the background and putting human judgment, context, and trust-building at the centre of the journey. When that balance is achieved, the process can become more efficient and more credible, supporting better hires and stronger long-term fit.