🕵️‍♀️ Think You Can Spot a Fake Resume?

Hey HR Pros!

Whether it’s in the hiring process, where what’s on paper might not be what it seems, or in how HR teams are adapting (or not) to the rise of AI tools, the risks aren’t always obvious — until they are.

In this issue, we’re taking a closer look at what often goes unnoticed: small oversights that can erode trust, gaps in readiness that stall progress, and the habits we may need to unlearn as the pace of change accelerates.

Upcoming In This Issue:

• 🕵️‍♀️ New Data | Think You Can Spot a Fake Resume?

• 💬 AI in the Workplace | What Happens When Managers Use AI to Communicate

• 🎙️ Today’s Featured Podcast: Building Alumni Networks That Work by PMP

• 🤖 What HR Needs to Learn to Survive the Age of AI

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 📰 Latest in HR News

• AI hiring tools elevate bias danger for autistic job applicants

• 1 in 3 companies say AI will run their hiring process by 2026

• TikTok layoffs clear the way for AI moderation despite shifting safety regulations

• Apple defends chief after HR complaints alleging bullying & harassment

🕵️‍♀️ New Data | Think You Can Spot a Fake Resume?

Even seasoned HR professionals aren’t as confident as you’d expect when it comes to spotting fake or misleading application details. With AI-generated resumes and pressure to fill roles quickly, the gaps between what’s claimed and what’s real are getting harder to catch — and easier to overlook.

Key Insights:

• 📉 Just 20% of HR pros feel “very confident” identifying fake candidate info
  Most deceptive claims center around job history, education, and credentials — the areas we often trust too easily.

• 🧾 10% of candidates admit to lying on resumes, and 92% say they were never caught
  Three-quarters of them still landed the job, especially when lying about responsibilities and experience length.

• 🤖 76% of HR leaders use AI to boost hiring efficiency, including verifications
  Automation helps with speed — but lacks the judgment needed to catch subtle resume fraud without human oversight.

• 🔄 Candidates with short job tenures (under 60 days) tend to repeat that pattern
  Equifax data shows this is a key red flag that often gets overlooked in resume reviews.

read the full 391-word article here

💬 AI in the Workplace | What Happens When Managers Use AI to Communicate

As a manager, writing the perfect message — whether it’s praise, feedback, or a tricky update — can take more time than we have. That’s where AI tools have slid into our workflows, promising efficiency without sacrificing connection.

But there's growing concern about what happens when we let them speak for us — and what our employees are hearing (or not hearing) as a result. The impact might be more damaging than a typo or a poorly worded sentence.

Key Insights

• 📉 Only 40% of employees believe managers using high levels of AI in communication are being sincere
  By contrast, 83% feel sincerity from managers who rely less on AI, especially in feedback and praise.

• 🤖 AI-written emails are fine for grammar fixes and routine updates — but not for relationship-building
  Employees expect authenticity in sensitive communications. AI can’t fake emotional nuance or human concern.

• 🛑 Mistakes like leaving in an AI prompt or generic phrasing immediately damage credibility
  Even minor slips make it obvious the message wasn’t genuinely crafted — and employees notice.

• 💡 Employees are okay with AI assistance, but not when it replaces real thought and intention
  Trust erodes when tone and word choice feel “off,” even if the message is technically correct.

read the full 689-word article here

😄 Comic Relief (HR Edition)

🎙️ Today’s Featured Podcast: Building Alumni Networks That Work by PMP

Grab a cup of coffee and plug in to today’s featured podcast:

🤖 What HR Needs to Learn to Survive the Age of AI

As AI tools automate tasks that once defined our day-to-day, HR pros are being called to rethink their role—not just react to it. That means learning how to work with AI, rather than around it, and acquiring both the technical and human skills to stay credible in a rapidly shifting workplace.

Here’s what the article says HR leaders and teams need to know next:

Key Insights for HR Teams Navigating AI

• 📊 Only 30% of HR pros have received formal AI training—yet 82% use the tools daily
  Most are self-taught, which leads to lower confidence and inconsistent application across core HR functions.

• 🧠 Critical skills include prompt engineering, data literacy, and identifying AI bias in algorithms
  These aren’t just technical upgrades—they’re the new baseline for staying effective in HR strategy and execution.

• 🗣️ Soft skills like critical thinking and adaptability are essential where AI lacks nuance and human judgment
  HR’s value increasingly lies in interpreting data, context, and emotion—areas AI still struggles to understand.

• 🛠️ HR must train itself, not just the org—otherwise, AI becomes a tech rollout, not a real transformation
  Internal upskilling is mission-critical for HR to lead, not lag behind, this shift.

read the full 703-word article here