Insights to make learning work

This guide covers the full employee upskilling journey: what it means, why it matters, how it differs from reskilling, how to build a strategy that scales, and how to close the skills gaps that are holding your organization back.

The workforce skills gap is one of the most pressing challenges facing organisations today, and L&D teams are being asked to close the gap with limited time, budget, and resources. But the skills gap isn't inevitable, and it isn't unsolvable.  In this guide, you'll learn what the workforce skills gap actually is, why it's growing, how it affects organisations, and what L&D and HR leaders can do about it, starting now.

Do your employees need reskilling or upskilling, or both? In this guide, you'll learn what each approach means, how they differ, when to use one over the other, and how forward-thinking organisations are using both to build workforces that can adapt to whatever comes next.

AI training for employees is the systematic process of teaching your workforce how to use AI tools effectively, safely, and confidently in their daily roles. In this complete guide, you'll learn what AI training for employees actually needs to cover, why it's essential in 2026 and beyond, and how to build training programs that scale. Turning AI from buzzword into business advantage. 

The best AI learning solutions for corporate training in 2026 feature curated content libraries, personalized learning paths, and skills tracking, without requiring your L&D team to become AI experts.

The biggest AI adoption challenges have less to do with technology and more to do with people. Many employees are unsure about AI’s impact on their role, lack foundational know-how, and need clarity on expectations, ownership, measurement, and safe use. Addressing these areas with practical training helps teams adopt AI confidently and responsibly.

According to Go1's AI Research Report, the biggest barrier to AI adoption is human understanding. Learn how to improve the level of AI literacy in your workforce in 4 easy steps.

Employees need practical AI ethics training that teaches them how to spot bias, handle sensitive data, and make real-time ethical decisions with AI tools. When people understand the guardrails, they feel safer using AI.