🤖 AI Bots Completing Safety Training Undetected

Hey HR Pros!

AI bots are quietly bypassing online workplace safety training—logging in, completing courses, and generating certificates without any human involvement.

Experts warn: if your platform can’t verify who’s actually taking the training, your company may not meet OSHA or international safety standards.

Upcoming In This Issue:

• 🛑 AI Hazard Alert: When Bots Fake It, Workers Pay the Price

• 🤖 HR Learnings | Klarna’s AI Overdrive Sparks Course Correction

• 🎙️ Today’s Featured Podcast: “How to Build an AI-First People Team” with Brandon Sammut, Chief People Officer at Zapier

• 📊 Report by TestGorilla | The Hidden Weak Links in Your Sourcing Strategy

Picking HR Software Shouldn’t Be This Painful 🤕

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• Microsoft announces phased approach to office return

• The share of workers taking mental health leave is up 300% from pre-pandemic levels

🛑 AI Hazard Alert: When Bots Fake It, Workers Pay the Price

In an era where AI can pass exams and write code, it’s no surprise it's now completing workplace safety training too—only it's not supposed to.

According to a new hazard alert from a workplace safety advocacy group, a quiet but urgent threat has emerged: AI-enabled bots are effortlessly passing online compliance courses meant for human workers.

Key Insights

• ⚠️ AI bots are completing safety training undetected — Platforms are being gamed by bots that finish courses and generate certificates without human input.

• 📉 Training records are now legally indefensible — Unverified online certifications cannot prove due diligence, exposing employers to liability and regulatory action.

• 🤖 AI tools are making “risk-washing” widespread — Employers may falsely believe workers are prepared, while in reality, safety training hasn’t been completed by humans.

• 🔒 Organizations must verify learner identity immediately — The alert recommends authenticating participation and benchmarking systems against current safety and compliance standards.

read the full 366-word article here

🤖 HR Learnings | Klarna’s AI Overdrive Sparks Course Correction

The promise of AI is speed, scale, and savings. But for Klarna, one of Europe’s fintech giants, an aggressive push into AI is now being quietly recalibrated.

What Happened? Klarna reduced its workforce by roughly 40% since 2022, relying heavily on AI to automate operations—especially in customer service.
Revenue per employee soared 152%, but leaders now say they “over-indexed” on AI at the expense of people and broader business goals.

The Fix: The company is back to hiring, re-centering on product development and long-term value for customers. Leadership is also shifting the internal narrative: AI isn't just a cost-saver, it's a tool to improve service and support—not replace it.

💡 What HR Leaders Can Learn From This:

• Balance is non-negotiable. Scaling AI can boost metrics quickly, but without guardrails, it risks talent erosion, morale loss, and shallow gains.

• Communication matters. Klarna openly acknowledged the misstep—transparency goes a long way in rebuilding trust post-transformation.

• Re-skilling is key. Doubling the share of tech roles shows the importance of re-investing in human capital alongside automation.

• Investor ROI ≠ Human ROI. Cost savings may wow finance teams, but sustainable growth demands a people-first perspective.

read the full 487-word article here

😄 Comic Relief (HR Edition)

🎙️ Today’s Featured Podcast: “How to Build an AI-First People Team” with Brandon Sammut, Chief People Officer at Zapier

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

📊 Report by TestGorilla | The Hidden Weak Links in Your Sourcing Strategy

New research reveals a growing disconnect between how important talent teams say sourcing is—and how effectively they execute it.

While 77% of talent professionals believe active sourcing is essential or very important, 73% of teams still source less than half of their hires this way.

Why the gap? Poor tools, skill visibility issues, and unclear metrics are holding teams back.

Here are the key insights from the report:

Key Data Insights

• 🔍 58% of sourcing teams struggle to verify candidate skills — especially in sectors like education (67%), finance (66%), and construction (62%).

• 💡 46% say their sourcing tools are ineffective — yet those using effective tools are 5x more likely to source over 50% of their hires.

• 📉 LinkedIn underwhelms, smaller platforms outperform — 52% of LinkedIn Recruiter users rate it poorly, while niche tools like Viadeo see 72% effectiveness.

• 🔧 50% cite lack of tool integration as a top frustration — outdated info, weak algorithms, and siloed systems derail efficiency.

• 📏 Only 49% of teams feel confident tracking sourcing ROI — yet 94% of confident teams plan to invest more in sourcing tech this year.

• 📈 3 in 5 teams plan to invest in new sourcing tools — driven by the need for AI, automation, and better analytics.

• 🧠 63% don’t feel well prepared for future sourcing trends — but say better measurement, integration, and skill data are the top priorities.

read the full 3,889-word article here