🚨 By 2027, 50% of enterprises without a people-centric AI strategy will lose their top AI talent

Gartner just issued a striking prediction: by 2027, half of enterprises without a people-centric AI strategy will lose their top AI talent to organizations that make workforce enablement a priority.

Only 27% of executives say they have a comprehensive AI strategy today, and only 20% believe their workforce is truly AI-ready.

Coming Up:

• 🚨 50% of enterprises without a people-centric AI strategy are predicted to lose their top AI talent by 2027, per Gartner's survey of 12,004 workers across 40 countries

• 📉 78% of HR leaders report declining communication skills in recent entry-level hires, and 74% have no upskilling plan to replace what AI automation is removing

• 📱 More than half of workers who used AI during open enrollment were Gen Z, and 94% of them trusted what the AI recommended

• 🎯 Referred candidates pass initial screens at 52% vs. 35% overall, and the conversion advantage compounds through every stage of the funnel

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🚨 By 2027, 50% of enterprises without a people-centric AI strategy will lose their top AI talent

Gartner's Global Labor Market Survey, which covered 12,004 employees and managers across 40 countries, finds that most organizations are focused on AI deployment but neglecting the workforce dynamics that determine whether it actually works.

The report identifies four dynamics separating organizations getting real AI ROI from those falling behind: how they measure AI impact, whether shadow AI is creating data and retention risk, how well they support individual contributors versus just managers, and whether psychological safety exists for employees to adopt AI without fear of job loss.

Key insights:

• 🚨 Talent attrition is the projected cost of inaction: By 2027, Gartner predicts half of organizations without a people-centric AI strategy will lose their top AI talent to employers who prioritize workforce enablement over basic adoption

• 📊 Strategy gaps are widespread at the leadership level: Only 27% of executives report having a comprehensive AI strategy, and just 20% believe their workforce is truly AI-ready, per a December 2025 Gartner survey of 197 CxOs

• ⚡ Proficiency across multiple use cases is what drives results: Employees who use AI across multiple use cases are 2x more likely to be highly productive, 2.3x more likely to deliver high-quality work, and 3.2x more likely to drive process improvements

• 🧠 Psychological safety is a hidden adoption driver: Employees with a positive outlook toward AI are 3.4x more likely to be highly productive, making culture and transparent communication as important as technical training

Read more: https://www.gartner.com/en/newsroom/press-releases/2026-05-13-gartner-predicts-by-2027-50-percent-of-enterprises-without-a-people-centric-ai-strategy-will-lose-their-top-ai-talent

📉 78% of HR leaders report declining communication skills in entry-level hires, and 74% have no upskilling plan

D2L's 2026 report with Morning Consult, based on a survey of 546 HR decision-makers in the U.S., finds that AI isn't just changing what entry-level workers do. It's beginning to change what they know how to do.

As organizations automate basic tasks away from junior workers, they're removing the foundational on-the-job learning that builds judgment, communication, and problem-solving over time.

Key insights:

• 📉 Skill gaps in recent hires are already visible: 78% of HR leaders report declining communication skills among recent entry-level hires compared to cohorts from 3-5 years ago, with 76% seeing interpersonal declines and 75% seeing problem-solving declines

• ⚠️ Most organizations have no plan to fill the gap: 74% of HR leaders say they don't yet have active upskilling or development programs to replace the on-the-job learning being lost to AI automation

• 🔮 The risk compounds into a future leadership problem: 58% of respondents are concerned that reducing entry-level roles due to AI could create a shortage of qualified senior leaders within five years

• 🔁 Removing basic tasks removes developmental building blocks: 56% of HR leaders say their organizations are already seeing a reduction in the basic tasks delegated to early-career professionals, the same tasks that historically built expertise and judgment over time

Read more: https://www.prnewswire.com/news-releases/d2l-survey-reveals-how-ai-is-beginning-to-reshape-entry-level-work-and-the-talent-pipeline-302768701.html

Happening This Week: The PeopleOps Huddle

Why attend?

• 🧑‍💼 Hear from industry experts about the latest insights on hiring in 2026

• 🎓 Live attendees can earn up to 3.5 SHRM and HRCI recertification credits across the day.

• 🎁 Loop Earplugs are up for grabs and we'll also have gift cards, a Claude Pro subscription, and more giveaways being announced throughout the afternoon.

• 📘 You can grab a single session or block the full afternoon. If your calendar allows, I'd go for the whole day.

📱 More than half of workers who used AI during benefits enrollment were Gen Z, and 94% trusted what it told them

The Hartford's 2026 Future of Benefits Study, which surveyed 1,000 U.S. workers, finds that AI is becoming a real participant in benefits decision-making, particularly for younger employees trying to navigate rising costs with limited guidance from employers.

For Gen Z, the response has been to seek help from AI tools like ChatGPT. For HR teams, this is a signal worth taking seriously before the next enrollment cycle arrives.

Key insights:

• 📱 Gen Z is already routing around HR for benefits guidance: More than half of workers who used AI during open enrollment were Gen Z, with 94% reporting they trusted the recommendations they received from tools like ChatGPT

• ❓ Benefits confidence is low across every generation: 43% of all U.S. workers say they are never sure they are making the right benefits choices, creating an opening for AI to step in where employer communication falls short

• 💰 Financial pressure is reshaping how workers think about benefits: 44% of workers are more worried about current daily expenses than their long-term financial future, and 38% say their financial situation is affecting their mental health

• 🧾 Supplemental benefits are being used as financial planning tools: 73% of blue-collar workers consider supplemental health benefits part of their overall financial plan, compared to 60% of white-collar workers, signaling a shift in how coverage is valued across the workforce

Read more: https://newsroom.thehartford.com/newsroom-home/news-releases/news-release-details/2026/The-Hartfords-Study-Amid-Rising-Cost-Of-Living-AI-Emerging-As-Benefits-Decision-Making-Tool-For-Gen-Z/default.aspx

🎯 Referred candidates pass initial screens at 52% vs. 35% overall, and the conversion gap compounds through every stage

Ashby's 2026 Talent Trends Report analyzed 54 million applications and 93,000 jobs from January 2021 through March 2026. One of the clearest patterns in the data: where a candidate comes from shapes nearly every outcome downstream, from screening to offer acceptance.

Referred candidates don't just enter the funnel more easily. They move through it more efficiently, convert to hires at higher rates, and accept offers more reliably.

In an environment where recruiting teams are under pressure to improve efficiency, referral quality is one of the highest-signal levers available.

Key insights:

• 🎯 Referrals clear the first filter at a significantly higher rate: 52% of referred candidates pass initial screens compared to 35% overall, giving referral pipelines a built-in efficiency advantage from the very first stage

• 🤝 Offer acceptance is where the referral gap is most pronounced: Referred candidates accept offers at higher rates than both inbound and sourced candidates, with the gap most visible in technical hiring where sourced candidates convert at notably lower rates

• 🔍 Referrer domain alignment is what separates strong referrals from weak ones: Referrals are more likely to result in hires when the referrer works in the same job function as the open role, meaning within-function referrals carry meaningfully more signal than cross-function ones

• ⏱️ Automated scheduling compounds savings across multi-stage processes: Teams using automated scheduling confirm interviews 26% faster than manual methods (3.7 hours vs. 5 hours), a gain that adds up quickly across complex interview loops and high-volume pipelines

Read more: https://www.ashbyhq.com/talent-trends-report/reports/recruiting-operations-benchmarks-talent-trends