AI in recruitment is growing at a pace that’s hard to ignore. The global AI recruitment market was recently valued at $617.5 million and is expected to exceed $1,053.16 million by 2032.¹ That steady growth shows that more and more companies are starting to use AI every year.
And there are numbers to back it up. About one in four HR professionals of the 2,366 surveyed by The Society for Human Resource Management (SHRM) now use some form of AI in their HR processes.² Whether it’s scanning resumes, scheduling interviews, or using chatbots to answer candidate questions, AI has become a part of hiring everywhere you look. This technology is becoming a mainstay.
What’s Driving This Tech Trend?
It all comes down to efficiency. Companies use technologies like applicant tracking systems, AI-driven interview analyzers, and automated chatbots because they save significant time and money in hiring processes. A popular example is how Hilton cut its average hiring time from 42 days to just 5 days by using video interviews.³ Other organizations also report lower hiring costs and better employee matches as advantages of using automation in recruitment.
Unfortunately, these automated and AI-driven tools aren’t perfect. One primary concern is that it might miss out on great candidates. Sometimes, the most qualified people for a job don’t fit neatly into the criteria an algorithm is looking for, but they bring unique qualities that a machine can’t recognize.⁴
Another issue is diversity. AI has the potential to help companies create more inclusive teams by eliminating bias in the recruitment process. However, it still falls short of making fair decisions about qualified candidates, and these flaws can also be linked to traces of bias in the algorithm. This missed opportunity shows that we have a long way to go in making the most of these tools.
So, while AI is doing great things for hiring, it’s not a perfect solution. Businesses need to strike a balance—using AI to handle repetitive tasks while letting humans bring creativity, judgment, and fairness into the process.
Related Article: The CIO and CTO’s Role in Fostering Generative AI Proficiency
Balancing Automation with Sustainable Hiring Practices in Tech
When embracing digital transformation, the tech industry often leads the way. Statistics show that in 2024, the tech, media, and telecom industries were the top adopters of AI, with around 44% of respondents reporting they used AI in some form within their business operations.⁵
This leadership naturally extends to the use of AI in recruitment, which is why exploring the ethical application of AI in hiring is something that can’t be ignored. With that in mind, let’s examine how to balance automation with sustainable hiring practices in tech.
1. Let Machines Handle the Repetitive Tasks
One of the best uses of automation is to take care of the repetitive, time-consuming parts of hiring. Things like candidate sourcing, scanning resumes, scheduling interviews, and sending follow-up emails don’t require human intuition. HR technology can easily manage them—and they’re all the machines should do. Other tasks like building relationships with candidates and assessing their unique qualities should ideally be left to human judgment.
2. Prioritize Candidate Experience by Adding Human Touch
No one wants to feel like they’re just dealing with a robot. Candidates want to know there’s a real person on the other side who values them. A good practice is to use automation as a tool to enhance—not replace—human interaction. Automated emails and chatbots can answer FAQs or schedule interviews, but when discussing job offers or providing feedback, it’s always better for a person to step in. These human interactions make candidates feel appreciated and help build trust.
3. Audit AI Systems for Bias
One of the biggest challenges of using AI in hiring is the potential for bias. Algorithms are only as good as the data on which they are trained. If that data reflects existing biases (e.g., favoring certain genders, races, or educational backgrounds), the AI will perpetuate them. This can lead to a homogenized workforce and hinder diversity—a significant issue in the tech industry, which already struggles with representation.
What you can do to overcome this issue is to audit your AI systems to identify and eliminate biases regularly. This includes reviewing the datasets used to train algorithms, ensuring diverse representation, and testing for unintended discrimination.
In addition, you can also consider using blind recruitment automation tools designed specifically for unbiased hiring. Examples of this are systems that anonymize resumes by removing names and photos, allowing recruiters to evaluate candidates purely on their qualifications and experience.
4. Focus on Long-Term Fit, Not Just Immediate Needs
Sustainable hiring means looking beyond immediate vacancies to assess candidates’ potential for long-term growth within the company. Automation, while efficient, tends to focus on matching candidates to specific roles based on keywords and predefined criteria. This approach risks overlooking individuals who may not have a perfect resume match but possess transferable skills, adaptability, or high potential.
To address this, consider supplementing automated processes with human judgment. Recruiters can use automation to narrow the pool but then conduct in-depth interviews to evaluate candidates’ values, growth mindset, and alignment with the company’s mission. This ensures new hires contribute to the organization’s success over the long term.
5. Streamline Processes Without Sacrificing Quality
Automation often shines when it comes to eliminating inefficiencies in hiring workflows. However, streamlining processes should never come at the cost of hiring quality. A common mistake is reducing steps so drastically that key evaluation stages are skipped, leading to poor hiring decisions.
You can strike a balance by combining automation with well-defined evaluation criteria. For example, automation can design and deliver coding tests instead of skipping technical assessments while human reviewers evaluate the results. Similarly, video interviews AI analyzes for technical proficiency can be followed by live panel discussions to assess teamwork and problem-solving abilities.
6. Involve Employees in the Recruitment Process
Another sustainable hiring practice is involving current employees in recruitment. Peer interviews, employee referrals, and collaborative hiring panels provide insights that automation cannot. Employees can assess cultural fit, teamwork potential, and other intangible qualities essential in a fast-paced industry like tech.
Automation can support this process by managing logistics—like scheduling panel interviews or tracking referrals—while humans focus on making meaningful evaluations.
7. Embrace Continuous Improvement
No hiring process is perfect, so it’s vital to keep checking what’s working and what’s not. Data analytics tools can help you track things like time-to-hire, cost-per-hire, and employee retention rates. These metrics provide valuable insights into the effectiveness of automation and overall recruitment strategies.
It’s also important to collect feedback from candidates and hiring managers. If candidates feel the process is impersonal or HR managers find the tools ineffective, adjustments can be made to strike a better balance.
8. Be Ready to Adapt
The tech industry moves fast, and so do its hiring needs. You must always stay flexible and ready to adapt your hiring strategies to maintain a competitive edge. But as new technologies emerge, it’s important not to lose sight of fairness and personalization while being open to trying them out.
Read more: Preparing for the Future of Work: 10 Key Trends CIOs Will See Next Year
Let Raso360 help you build a stronger tech team.
At Raso360, we make it easier for businesses to hire the right people by combining smart automation with sustainable recruiting processes. Whether you need staffing solutions locally or globally, we’ll customize our services to meet your needs. We also prioritize diversity, ensuring you get access to top-quality candidates from all backgrounds to build an innovative and inclusive team.
If you’re planning a more considerable tech transformation, don’t miss our guide on S/4HANA migration. Whether you’re moving from SAP ECC to S/4HANA or exploring your options, this resource is packed with practical strategies to make the transition seamless and future-ready. Download the free guide here or contact us to discuss your hiring or IT solutions—we’re here to help your business grow.
References
1. Dhaptel, Aarti. “AI Recruitment Market Research Report” Market Research Future, Jan. 2025, www.marketresearchfuture.com/reports/ai-recruitment-market-8289.
2. Maurer, Roy. “HR Adopts AI” SHRM, 13 April 2024, www.shrm.org/mena/topics-tools/news/all-things-work/ai-hr-challenges-opportunities.
3. McLaren, Samantha. “How Hilton, Google, and More Have Dramatically Reduced Their Time to Hire” LinkedIn, 24 May 2024, www.linkedin.com/business/talent/blog/talent-strategy/how-these-companies-reduced-time-to-hire.
4. Lytton, Charlotte. “AI hiring tools may be filtering out the best job applicants” BBC, 15 Feb. 2024, www.bbc.com/worklife/article/20240214-ai-recruiting-hiring-software-bias-discrimination.
5. Thormundsson, Bergur. “Artificial intelligence (AI) adoption worldwide 2023, by industry and function” Statista, 10 Oct. 2024, www.statista.com/statistics/1464584/ai-adoption-worldwide-industry-function/.
