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Brian Westfall

I'm the Principal HR Analyst for Gartner Digital Markets (Capterra, GetApp, Software Advice, & UpCity). Follow me to stay up-to-date on the latest best practices at the intersection of technology and talent management.

Brian Westfall is a Principal Content Analyst at Gartner, specializing in human resources and talent management. He is part of Gartner Digital Markets, which includes platforms like Capterra, GetApp, Software Advice, and UpCity. His role involves conducting primary research to assist HR leaders in making informed decisions regarding talent and technology.13

With over a decade of experience in the field, Westfall focuses on the intersection of technology and human resources, providing insights that help organizations optimize their HR strategies and improve employee engagement.24 He is based in Austin, Texas and actively shares his findings and insights through various platforms, including LinkedIn and Twitter.34

Highlights

Aug 29 · linkedin

Recruiters, have you seen an influx of AI-generated resumes and job applications lately? Welcome to the new normal 😬 .

My latest survey for Capterra of nearly 3,000 job seekers reveals that a majority of job seekers (58%) are now using AI tools to help them in their current job search. And the results speak for themselves:

⌚ AI users complete 41% more job applications on average than non-users (157 vs. 111). 💰 AI users are also 53% more likely to receive a job offer than those who don’t use AI.

On its own, this isn't a bad thing! The most common ways job seekers are using AI are to refine their resume or help them find relevant job openings (see attached chart)--uses most employers would consider acceptable.

But with 83% of AI users also admitting they have leveraged AI to exaggerate or lie about their skills on a resume, cover letter, job application, or skills assessment, it's clear some uses cross the line into devious territory.

So, what can you do to minimize AI cheating and eliminate fraudulent candidates? Here are my recommendations (which you can read more about in my report, I'll 🔗 in the comments):

❌ Make clear to applicants what AI uses are considered unacceptable in your job application.

🤖 Fight AI with your own AI to find the best candidates quickly in a muck of AI-generated slop.

☎ Ditch phone interviews! 28% of AI users are using it to generate answers to interview questions IN REAL TIME. You need to be able to see them to catch them.

📝 Use an AI content checker. Plagiarism checker tools have been leading the way in AI content detection features in recent years.

🕵‍♀️ Lean more on references--they're the best way to confirm if someone really has certain experience or a specific skill.

🕜 Dedicate more time to candidate screening and evaluation. Middle managers spend only 3% of their week, on average, on recruiting and hiring tasks. They're relying too much on easily-fabricated content like resumes and cover letters to evaluate candidates, and it needs to stop.

What have you done to fight back against AI-enabled job applicants? Let me know in the comments.

Jul 8 · linkedin

One of the biggest tasks we're tackling with our research at Capterra these days is separating #AI reality from hype. What AI use cases are actually feasible right now, and which ones are still years down the road from being practical--especially for small businesses?

To that end, I wanted to share a few excellent reports that two of my colleagues - Molly Burke and Olivia Montgomery - have published in recent weeks.

Molly's report on retail AI agents makes it clear that online shopping is broken in its current state (https://lnkd.in/gkPBc2RN):

🔎 84% of global consumers say they encounter issues when using online search filters. 🤢 Over half say dealing with too many sponsored results and bad results when searching for products online is a challenge.

AI agents acting as online personal shoppers can fix these issues in theory, but Molly warns they're not ready for deployment just yet. In her words, "the bottom line is that all-in-one AI agents are currently in a rudimentary phase of development, and still come with significant risks that require human oversight."

Olivia, meanwhile, finds that AI is bringing immediate benefits to project management (https://lnkd.in/gyUjrGRu):

➕ 90% of project managers report a positive ROI on their AI investments in the past 12 months. 📈 63% report increased productivity and efficiency as top benefits of implementing AI.

That being said, Olivia warns that PMs need training to increase their understanding of AI's rate of hallucinations, propensity for biases, and data dependencies. She writes that this education is critical for PMs to "effectively oversee AI implementation projects, make informed decisions, and manage the inherent risks."

Run don't walk to these reports if you're a PM or retailer planning to implement AI anytime soon!

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Austin, Texas, United States