Raise Your Game: HR Trends And Predictions In 2017

When nearly three-quarters of employers admit they can’t find the skills they need, you know something’s off. According to ManpowerGroup, 74% of companies globally struggle with talent shortages. In Germany, that number jumps to 86%. In Ireland, 83%. In Brazil, 81%. And for industries like healthcare and life sciences, 77% report critical skill gaps. It’s no surprise that organisations everywhere are rethinking how they attract, retain, and re-engage talent. The pandemic, automation, and shifting workforce expectations—especially from Gen Z—have rewritten the rules. But the bigger question remains: how do you rebuild your employer brand when it’s been damaged by hiring freezes, turnover spikes, or internal mistrust? This is employer brand recovery. And in 2025, it’s not just about hiring again—it’s about earning back trust.

Is Digital Learning sustainable, or will we be reverting back to what worked before? Nigesh Armon, COO of Leaderonomics’ digital learning experience platform, Necole, sheds some light on the pros and cons as well as the future of digital learning.

Why are so many companies investing heavily in AI, yet still struggling to see real productivity gains? Roshan Thiran explores the powerful metaphor of Jesus Christ “new wine in old wineskins” and applies it to one of the biggest business challenges of our time: AI transformation. AI is the new wine. It is powerful, fast, expanding, and full of potential. But many organisations are still trying to pour it into old wineskins: outdated business models, rigid structures, broken workflows, slow approval systems, legacy KPIs, and cultures built for control rather than learning. That is why AI adoption alone does not guarantee transformation. The real question is not, “Do we have AI tools?” The real question is, “Have we redesigned the organisation to hold the power of AI?” In this video, Roshan unpacks why the AI productivity paradox exists and how leaders can rethink four critical organisational wineskins: 1. Business Model: Are we using AI to create new value or just reduce cost? 2. Structure: Are we organised around silos or outcomes? 3. Processes: Are we automating broken workflows or redesigning work end-to-end? 4. Culture: Are we rewarding experimentation, trust, learning, and voice, or still rewarding busyness and control? The message is simple: AI is not exposing a technology gap. It is exposing an organisational design gap. The new wine is already here. Now leaders must build the wineskins that can hold it.