Like it or loathe it, AI has become an integral part of the professional world. AI impacts how people apply for jobs and how professionals decide how and whom to hire.
Newly reported data shows that 11,000 job applications are submitted on LinkedIn every minute (likely using AI). This has been coined “an AI avalanche” with “some seeking employment sending out as many as 300 to 1,000 applications per year.” The surge of applications can make it overwhelming for human capital management (HCM) professionals to find quality applicants.
Ironically, the way to meet this challenge may be an AI solution.
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Beyond the basics: How AI matches candidates by skills
AI has been evolving to have the intelligence required to make more accurate matching suggestions using hiring automation. This includes predictive models that can infer skills from contextual information related to position needs and determine how successful a candidate may be for a pre-existing or newly created role. Better matching leads to improved performance and increased retention rates, which is beneficial for both business and the bottom line.
Practical uses of skills-matching software
Candidate assessment software can evaluate candidates on their suitability for a position using scientifically validated tests or algorithms to weight the suitability of candidates based on their resumes and cover letters. Many people like testing and sorting programs because they are budget-friendly: you purchase the required program once and then you can continue to use it for various hiring needs, whether it be role-specific testing in areas of programming, software or language proficiency skills or more general corporate culture fit sorting.
Some examples include Prevue (offering assessments for aptitude, personality, culture and skills), Plum (offering assessment management features, automatic grading, candidate comparison, candidate management and online tests), or TalentSorter’s trademarked resume sorter, FitScore.
” Beyond early and optimistic adopters, there are underlying concerns among HCM professionals about some of the less desirable impacts AI is having on hiring practices from both applicants and organizations. ”
Adoption of automated recruiting
Automated recruiting is here! LinkedIn Business reports, “Adoption among recruiting teams is growing, with 37 per cent of organizations now ‘actively integrating’ or ‘experimenting’ with generative AI tools, up from 27 per cent a year ago.”
HCM professionals have high hopes for how AI hiring can improve hiring processes. Some benefits of using AI for skills-based hiring include:
- Increased hiring efficiency;
- More effective job postings;
- Expanded reach to new talent pools;
- Reduced unconscious bias in recruiting;
- The ability to screen high volumes of applicants;
- An increased overall calibre of applicants;
- Improved candidate experiences;
- Scribing for HCM professionals during interviews so they can focus on the conversations they are having with candidates instead of taking notes; and
- Streamlined onboarding.
Some AI concerns loom
Beyond early and optimistic adopters, there are underlying concerns among HCM professionals about some of the less desirable impacts AI is having on hiring practices from both applicants and organizations.
One professional told HCM Dialogue that they routinely see candidates utilizing what they assume to be AI to answer interview questions during virtual interviews. They noted that this practice yields high-level sounding answers that lack concrete information.
Others worry about how AI hiring will impact candidate privacy and security, as well as hiring transparency as the technology evolves faster than regulations can be implemented.
Some results reveal that AI can pick up on previous unconscious biases through algorithm bias, particularly during recruitment, amplifying, for example, gender inequalities when trained on past, biased data.
Zinnya del Villar, a responsible AI subject matter expert, told UN Women, “AI systems, learning from data filled with stereotypes, often reflect and reinforce gender biases. These biases can limit opportunities and diversity, especially in areas like decision-making, hiring, loan approvals and legal judgments.”
Candidates note that recruitment involving too much AI and not enough human touch feels cold, making them feel like “just a number” and see it as a red flag for a potentially toxic corporate culture. This sentiment is highlighted in the TA Trends 2025 report from Korn Ferry, showing that 40 per cent of talent specialists have concerns that too much automation will remove the human touch from the hiring process, making candidates feel less connected to the organizations they are applying for and therefore less likely to accept a role.
Balance is key
Many recommend a slow, cautious approach to AI automation in recruiting, which includes a thorough 360-degree assessment of any new programs to ensure their long-term success. This includes taking the time to select the right software for your organization, ensuring that the data it receives is complete and unbiased, connecting with new hires to evaluate how the recruitment, hiring and onboarding process was for them, and assessing the overall success and tenure of employees hired using AI systems. New systems are exciting, however, continually working on improvements, enhancements and personalized touches will allow organizations to focus on what matters most in hiring – the people.
“Is skills-based hiring using AI the future of recruitment?” ?

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