Sofia Khaira’s work at the forefront of diversity, equity, and inclusion has given her a unique vantage point on how technology reshapes the relationship between employers and talent. As organizations rush to integrate artificial intelligence into their hiring pipelines, Sofia advocates for a “human-first” approach that ensures no candidate is reduced to a mere data point. In this discussion, we explore the deep-seated skepticism candidates feel toward automated recruitment and the delicate balance required to maintain trust. We delve into the striking similarities in how different generations view AI, the surprising ways candidates are using these tools to their advantage, and the urgent need for transparency in the digital age.
Nearly half of job seekers view automated screening as unfair, with skepticism peaking among those who feel the process lacks a personal touch. What do you think is driving this overwhelming sense of distrust among candidates?
The root of this skepticism lies in a fundamental fear of being reduced to a set of keywords by an algorithm that doesn’t understand context or nuance. When only 22% of people believe it is fair for an employer to use AI for screening and selection, it sends a clear message that job seekers feel the “human” has been taken out of Human Resources. Almost half of candidates—49% to be exact—explicitly view this technology as an unfair barrier rather than an efficiency tool. They worry that their unique stories, soft skills, and career trajectories are being discarded by a cold machine. This creates a psychological gap where candidates feel they aren’t being heard, leading to a sense of frustration that can damage an employer’s brand before a single interview even takes place.
It is quite striking that the youngest workers, who are often labeled as digital natives, share the same level of wariness as those nearing retirement. Why do you think Gen Z is just as skeptical as the over-55 demographic?
It is a fascinating paradox that the most tech-savvy members of our workforce are just as disillusioned as those with decades of experience. While 66% of workers over the age of 55 feel AI screening is unfair, a significant 51% of those aged 18 to 24 feel exactly the same way. For the older generation, the distrust likely stems from a fear of age bias being baked into algorithms. For the younger cohort, many have likely had poor experiences with “black box” application systems where they receive automated rejections without any feedback. This shared skepticism suggests that regardless of how comfortable you are with a smartphone, everyone still craves the validation that comes from a human being reviewing their hard work.
Given that over 40% of people want humans alone to make hiring decisions, how can companies find a middle ground that utilizes technology without alienating their talent pool?
The data shows a clear preference for human intervention, with 41% of respondents stating they want no AI involved in recruitment decisions whatsoever. However, we also see that 32% are open to a hybrid approach where AI supports the process but humans ultimately hold the reins. The key is to move away from the idea of “autonomous hiring” and focus on “augmented hiring.” Only 14% of people are currently happy for AI to make the final call, which means companies must be vocal about where the human touch remains in their process. We need to ensure that 45% of the older workforce and 44% of the younger generation feel confident that their applications are reaching a person who can appreciate their potential.
There seems to be an interesting irony where candidates distrust AI-led hiring but are increasingly using AI themselves to prepare applications. What does this shift in candidate behavior tell us about the current state of job searching?
It shows that candidates are adapting to a system they feel is rigged against them, essentially fighting fire with fire. While 27% of respondents have used AI tools, that number jumps to 32% for the youngest workers who are looking for any edge they can find. Most people—60%—are using it for the practical task of refining their CVs, while 44% use it for interview prep and 34% for drafting application answers. Most concerning for employers is that 22% of candidates admit to using AI during online assessments. This creates a digital arms race where 25% of people are using tech to research the employer, but the core relationship remains built on mutual suspicion rather than genuine connection.
What is your forecast for the future of AI in recruitment?
I believe we are heading toward a “Transparency Era” where the companies that win the talent war will be those that explicitly map out their hiring process for candidates. We will see a shift away from hidden algorithms as employers realize that 49% of their talent pool feels alienated by current practices. My forecast is that “Human-in-the-loop” systems will become the gold standard, where AI handles the heavy lifting of organization, but every candidate who makes it past the initial stage is guaranteed a human review. Success will no longer be measured just by how fast we can screen 1,000 resumes, but by how many of those candidates feel they were treated with dignity and fairness throughout the journey.
