Key Chapters
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Executive Summary
Research at a glance, Key findings and the emerging AI expectation gap
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Introduction & Scope Of Research
Methodology, context, and research design
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Part I: The Learning Solutions Landscape
Platform selection, satisfaction, platform types and adoption trends
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Part II: AI Importance And Integration
Features, adoption gaps, investment priorities, and feature divergence
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Part III: Learning About AI
Education channels, L&D buyer requests, training formats, content and pricing
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Part IV: Skills For The AI Era
Workforce readiness, critical skills, and human-centered learning
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Part V: L&D Buyer Personas & Decision-Making Dynamics
Target audiences and buying committee dynamics
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Part VI: Measuring Business Impact Of AI
AI success metrics and outcome measurement
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Conclusion, Insights & Recommendations
AI Expectation Gap: Strategies for learning vendors and L&D buyers
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Appendix: Research & Sample Information
Methodology, sample details, and disclaimers