AI Is Slowing Hiring Processes as Applications Surge

Artificial intelligence is reshaping the job search, but not always in the way people expected. While AI tools can help job seekers create stronger resumes and cover letters more quickly, employers are finding that the same technology is making hiring slower, noisier, and harder to manage. What was supposed to streamline recruiting has instead created a surge of polished, keyword rich applications that often look impressive on paper but do not always reflect a candidate’s real skills or experience. As more applicants use AI to tailor materials at scale, hiring teams are being forced to spend more time figuring out who is genuinely qualified.

For job seekers, the appeal is obvious. AI can help overcome writer’s block, improve wording, mirror language from job postings, research employers, and even prepare for interviews. In a difficult labour market, that can be a major advantage. Some applicants say tasks that once took hours now take a fraction of the time, allowing them to send out more competitive applications. Candidates also know that many employers use automated systems to scan resumes for keywords, so AI has become a practical way to make sure their applications are not filtered out too early in the process. At the same time, some job seekers remain uncomfortable with relying on it too heavily, worrying it creates an uneven playing field for those who still want to write everything themselves.

The problem for employers is that AI is making nearly everyone look better on paper. Recruiters say resumes and cover letters are becoming harder to trust at face value because many are enhanced, embellished, or in some cases even fabricated. Canadian hiring managers have reported heavier workloads, longer hiring timelines, and growing concerns about the authenticity of applications. Many resumes now closely mirror job descriptions, making traditional screening tools less effective and making it harder to separate strong candidates from weaker ones. Career advisers say the signs are often easy to spot, from overly polished language to unnatural phrasing that does not sound like how people actually speak.

Hiring teams are responding by adding more validation steps. That can include reviewing applications more carefully, verifying past roles, checking professional networks, increasing the number of interviews, and asking more detailed behavioural questions. Some employers say interviews that once took about an hour now require at least an hour and a half. Others are updating job descriptions to discourage generic responses or relying on multiple touchpoints with candidates to confirm they are getting an accurate picture of the person behind the application. Rather than saving time, AI has shifted the workload into deeper screening and verification, forcing employers to spend more energy proving what is real.

This shift is especially visible in Metro Vancouver, where HR professionals say a flood of AI polished applications is straining already busy teams. Some employers report receiving more than 200 applications for a single opening, many of them strong in presentation but weaker in substance. Experts say the result is more noise and less signal. In that environment, human connection is becoming more valuable again. Recruiters and HR leaders increasingly favour referrals, LinkedIn outreach, coffee chats, and other forms of direct contact that help put a face to an application. A simple note to a hiring manager or a mutual introduction can now make a bigger difference because it helps candidates stand out from a sea of similar looking submissions.

Even so, few experts believe banning AI is realistic. Instead, the emerging view is that AI should be used as a support tool rather than a replacement for honesty, effort, and genuine self presentation. Candidates can benefit from using it to polish their materials, but they still need to make sure every detail reflects their real background and abilities. Employers, meanwhile, are being pushed back toward first principles such as behavioural fit, conversation, and relationship building. In the end, AI may continue to shape hiring, but the growing consensus is that technology alone cannot create trust. As the application process becomes more automated, the human side of hiring is becoming more important than ever.

Works Cited

Johnson, Andrew. “Why Employers Say AI Is Making Hiring Harder.” CTV News, 14 Mar. 2026, www.ctvnews.ca/sci-tech/article/why-employers-say-ai-is-making-hiring-harder/. 

Lindzon, Jared. “More Job Seekers Are Using AI to Craft Resumes. It’s Slowing the Hiring Process.” The Globe and Mail, 22 Apr. 2026, www.theglobeandmail.com/business/careers/talent/article-more-job-seekers-are-using-ai-to-craft-resumes-its-slowing-the-hiring/. 

Xiong, Daisy. “Flood of AI-Generated Job Applications Straining HR Professionals in Metro Vancouver.” Business in Vancouver, 14 Apr. 2026, www.biv.com/small-business/flood-of-ai-generated-job-applications-straining-hr-professionals-in-metro-vancouver-12127104. 

“Explained: AI Resume Screening & Its Benefits.” Glider AI, by Joseph Cole, 25 Jan. 2024, glider.ai/blog/explained-ai-resume-screening-its-benefits/. 

“Work From Home Human Resources Professional: What Is It? and How to Become One?” ZipRecruiter, www.ziprecruiter.com/career/Work-From-Home-Human-Resources-Professional/What-Is-How-to-Become.