Insights
Practical insights on AI in the workplace, learning strategies, and building AI-ready teams.
91% of customer service leaders are under executive pressure to implement AI, but only 20% have reduced headcount. Here's what Databox, Lightspeed, and the data reveal about building AI-fluent CS teams.
Only 3% of marketers consider themselves AI experts, despite near-universal adoption. Here's what Klarna, Coca-Cola, and the data reveal about closing the marketing AI skills gap.
88% of finance professionals say AI will be the most transformative technology in 12-24 months, but only 8% feel prepared. Here's what Goldman Sachs, the job market, and 1,400 finance leaders reveal about closing the gap.
Energy and utility teams face a growing AI skills gap — 96% of leaders call AI strategic, but 66% say talent is the biggest barrier. Here's how to close the gap with practical AI training.
AI adoption in HR nearly doubled in one year, but 67% of HR professionals say their organisation hasn't prepared employees for AI. Here's what Unilever, SHRM, and the data reveal about closing the gap.
84% of retailers use AI but most teams lack the skills to use it well. Learn how AI training in retail closes the gap — from demand forecasting to personalization — and what skills your team actually needs.
Manufacturing teams face a growing AI skills gap — 68% of manufacturers can't find qualified workers. Learn how daily AI training builds the smart factory skills your workforce needs.
AI training for legal teams is no longer optional. With 69% of legal professionals using AI and 300+ hallucination incidents documented, structured training is the gap between competitive advantage and professional risk.
AI training for healthcare teams is falling behind adoption. With 66% of physicians using AI but only 14% feeling prepared, structured daily training closes the gap between tool access and safe, effective clinical use.
AI training in banking is now mandatory at major institutions. JPMorgan, Citi, and Wells Fargo are upskilling hundreds of thousands of employees. Here's what's working, what's not, and how to close the skills gap.
Companies are spending record amounts on AI tools while cutting training budgets. IDC projects $5.5 trillion in losses from skills shortages by 2026. Here's why more technology won't close the gap — and what will.
Companies spend billions on AI training that employees forget within a week. Research shows microlearning, spaced repetition, and daily practice deliver 3-4x better results than traditional workshops.
AI literacy means understanding what AI is. AI fluency means using it effectively at work. Only 13% of workers are AI fluent — here's what separates them and how to close the gap.
AI fluency is the ability to understand, evaluate, and apply AI tools in your daily work. Learn what it means, why it matters, and how to build it — six minutes at a time.