HR Curator

AI systems already show technical capability overlap with skills representing 11.7% of total U.S. wage value — roughly $1.2 trillion — according to MIT’s Iceberg Index. While only a small portion of the 1.1 million jobs lost in 2025 were formally “attributed to AI”, people get it: the shift has begun, and the clock is ticking. 36% of companies plan to automate 10% of roles by the end of this year, according to Deloitte. 74% expect to deploy more autonomous AI systems within 24 months.

I became the world’s most aggressive recruiter after learning the huge performance boost that top performers provide. That realization forces you to become aggressive because you simply have no chance of landing these top performers unless you use the most aggressive recruiting tools and strategies. Until recently, I often stood alone as an advocate for placing a dollar value and calculating the ROI of recruiting top performers.

As the CHRO role expands beyond traditional HR boundaries, people leaders are taking on greater influence over workplace strategy, technology decisions, and employee experience. In this special edition of the Data Driven HR Monthly, we explore how leading organisations are rethinking the office as part of the overall employee experience, drawing on new research from JLL and insights from across the field.

In the 12 years I have been publishing what has evolved now into the Data Driven HR Monthly, people analytics has shifted from the periphery to the core of what is required to build a world-class HR function. Back in 2014, it was a challenge to find 20 articles to build a year-end compendium of the best people analytics and data-driven HR articles. Wind forward 12 years, and it is now a Herculean task to prune so many wonderful resources down to a single summary.

👋 Hello Everyone and welcome to the grand finale of 2025! 💥 I’m excited to unveil this Special End‑Year Edition of my newsletter a curated collection of the most influential insights in HR & People Analyticsfrom the past twelve months. If you missed any of my daily or weekly posts this year, don’t worry. This exclusive edition brings everything together, the research, the signals, the shifts, and the surprises that shaped the world of work in 2025.

The way organizations are designed—and redesigned—has become a defining factor in their ability to compete, adapt, and grow, especially in times of exponential change driven by massive demographic shifts, political disruption, economic instability and technology as a powerful driving force of change. Organizational design is about how work flows, how decisions are made, and how people align to deliver business outcomes.

Introduction Total Rewards is the entire value proposition that organizations offer their people in exchange for their time, effort, talents and contribution. In 2025, building an effective total rewards strategy requires moving beyond isolated programs and toward an integrated framework that reflects what people truly need and value. That includes not only fair pay and competitive benefits, but also flexibility, transparency, career mobility, and a sense of purpose and belonging.

The HR technology landscape is undergoing a seismic shift, driven by the rapid evolution of Generative AI (GenAI) and agentic AI. The latest insights from Deloitte’s 2025 HR Tech Predictions (https://www2.deloitte.com/us/en/pages/consulting/articles/latest-hr-technology-trends-influencing-the-way-we-work.html) and a compelling LinkedIn article from DevSkiller paint a picture of an imminent transformation HR professionals must prepare for now.

Having taught and coached thousands of business and HR leaders, I continue to hear this frequent question: How can I have more impact? Increasing impact is not a new question, and “ideas with impact” has been at the heart of my (and many others’) work for generations.

Statistics often reports the mean of survey items, which is often insufficient to guide action. Imagine a survey asking about the impact or quality of HR practices or leadership competencies on a scale of 1 (low) to 5 (high), but it only reported the mean. For example, two items each have a mean of 3.0, but they are not the same. The first item scores 3, 3, 3, 3, 3 (mean of 3), and the second item scores 1, 2, 3, 4, 5 (also mean of 3).