Insights

AI Training & Workforce Readiness

Practical thinking on enterprise AI upskilling, from someone in the trenches.

From Under 20% to 71%: What an Asset Management Firm's Failed Training Programmes Actually Taught Us

A mid-sized asset management firm ran two failed AI training programmes before reaching 71% completion. Here's what changed and what L&D leaders can learn from it.

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Why Most Enterprise AI Training Programmes Fail (And What Actually Works)

Enterprise AI training investments are being wasted on vendor demos and generic workshops. Here's what L&D leaders actually need to do, and what Jay's seen work at the World Bank, Bloomberg, and Adobe.

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AI Skills Gap 2026: What L&D Leaders Need to Know

The AI skills gap is widening faster than most organisations are moving. WEF, McKinsey, and CIPD data on what's at stake in 2026, and a 3-step needs assessment to help L&D leaders close it.

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The ROI of AI Training: What the Data Actually Shows

What does the research actually say about the return on corporate AI training investment? McKinsey, Deloitte, and WEF data on AI upskilling ROI, and what it means for the business case in your organisation.

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How to Build an AI Training Programme for Your Team (Step-by-Step Guide)

A practical step-by-step guide to planning and running corporate AI training: from needs assessment and pilot groups to measuring what actually changes. Based on experience with World Bank, Bloomberg, and Adobe.

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The 5 AI Skills Every Non-Technical Professional Needs in 2026

You don't need to code to be AI-capable. These are the five practical AI skills that non-technical professionals need to stay competitive in 2026, and how to develop them.

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Why Most Enterprise AI Training Programs Fail (And What Actually Works)

Enterprise AI training investments are being wasted on vendor demos and generic workshops. Here's what L&D leaders actually need to do — and what Jay's seen work at the World Bank, Bloomberg, and Adobe.

Read article →