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"The State of Tech Talent 2026"

The companies surviving and thriving in the AI era aren't the ones hiring the most talent. They're the ones training the people they already have.

In the three years since ChatGPT launched, 96% of HR leaders say filling tech roles has become harder, especially in data analytics, data science, and AI. External talent is scarce and expensive. So companies are looking inward instead.

Organizations that train existing employees keep institutional knowledge, move faster, and build capability that lasts. But most AI training efforts stall. We asked 500 HR leaders what's actually working. The findings show where training succeeds and where it breaks down: leadership buy-in matters more than budget, one-off sessions don't stick, and most companies struggle to measure whether training drives real outcomes.

This report tells you how to design role-specific AI training that connects to daily work, get executives invested in adoption, and track metrics that prove impact. Whether you're scaling AI training across your organization or just getting started, you'll walk away with a plan you can use immediately.

Inside, you’ll find:

• Why 83% of companies now prioritize upskilling over hiring for AI talent and what that means for your L&D strategy.
• The training methods HR leaders say actually work (and the roadblocks preventing scale).
• Four recommendations for designing AI training that drives adoption, not just completion.

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