Your Employees Aren’t Ready For AI — And It’s A Problem

2026-03-23 · Source: Featured Blogs - Forrester · Field: Business & Management — Human Resources & Workforce Development, Corporate Strategy & Leadership, Marketing, Branding & Advertising · Depth: Fundamental Awareness, short

Summary

Forrester's AIQ reveals significant gaps in employee readiness for AI, indicating that employers are not adequately preparing their workforce in understanding, skills, and ethics for an AI-driven environment. This unpreparedness is creating bottlenecks that hinder productivity and return on investment. The discussion highlights "AI washing," where companies like Block may attribute layoffs to AI-driven productivity gains, despite other underlying issues such as overhiring during COVID. While AI can enhance productivity, particularly in software development where coding is increasingly AI-generated, a shift in the talent landscape is occurring. Junior developers face challenges, while demand for leading-edge AI experts and those adept at driving business value with AI remains high. Forrester forecasts that AI and automation will displace approximately 10 million jobs in the US economy by 2030, representing about 6.1% of the 160 million jobs, emphasizing augmentation over full replacement.

Key takeaway

For VPs of Engineering or Data evaluating workforce planning, recognize that AI's impact on job displacement is significant but not apocalyptic, with Forrester projecting 10 million US jobs displaced by 2030. Your teams should prioritize upskilling existing employees in AI understanding, skills, and ethics, as a lack of readiness is a major bottleneck to productivity and ROI. Focus hiring efforts on advanced AI experts who can demonstrate tangible business value, rather than solely junior talent.

Key insights

Employee AI readiness is a critical bottleneck for productivity and ROI, despite widespread AI investments.

Principles

• AI often augments rather than fully replaces human roles.
• ROI from AI investments remains largely elusive for most companies.

In practice

• Focus AI hiring on leading-edge experts.
• Prioritize AI skill development for existing staff.

Topics

• AI Washing
• Tech Layoffs
• AI Job Displacement
• Future of Work
• AI ROI

Best for: VP of Engineering/Data, Director of AI/ML, CTO, Executive, HR Professional

Related on AIssential

• The truth about tech layoffs and AI.. — AI proficiency is becoming a critical differentiator, enabling individuals to achieve significantly higher productivity.
• The AI skills gap is here, says AI company, and power users are pulling ahead — AI has not yet caused widespread job displacement, but future impacts and a growing skills gap are evident.
• “About 65% of companies are going to use displacement as a way of making up for productivity gains.” Stanford Professor on AI job displacement — AI's cognitive superiority is driving widespread corporate plans for job displacement to achieve productivity gains.
• Workers Are Afraid AI Will Take Their Jobs. They’re Missing the Bigger Danger. — Worker anxiety over AI job displacement overlooks broader, more significant risks.
• TAI #194: AI Goes Macro; Job Loss Fears, Military Usage, OpenAI $110B Raise — AI's macro impact is accelerating, driving unprecedented investment, geopolitical tensions, and job market shifts.
• Is AI Really Coming For Your Job? (Not What You Think) — AI automates tasks, not jobs, necessitating a shift in professional skill sets.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.