Execs love AI, just not enough to pay for user training

The Register

February 25, 2026

AI-Generated Deep Dive Summary

Executives widely recognize the potential of AI but are failing to prioritize investments in user training and governance frameworks, according to a new study by Economist Impact. While only 4% of businesses have achieved a return on their AI investments, most companies are struggling to embed AI into core processes due to insufficient budget allocation, lack of structured talent development, and weak oversight structures. The research reveals that while senior leaders pay lip service to the importance of AI skills, few organizations provide formal training programs or establish clear governance frameworks to manage AI risks effectively. The study highlights a disconnect between top executives and middle managers when it comes to driving AI strategy. While 38% of companies have dedicated budgets for AI development, only 16% invest in structured internal training and 21% partner with external training bodies. Many organizations rely on informal methods like mentorship or self-directed online courses, which the report suggests are inadequate for building the necessary skills to fully leverage AI's potential. Additionally, while most leaders claim to prioritize responsible AI practices, only 8% have implemented comprehensive governance frameworks, leaving employees to manage AI risks without clear guidelines. The research underscores the critical need for both technological and human investment in AI strategies. Without proper training and oversight, businesses risk underutilizing AI tools and failing to address errors caused by AI systems misinterpreting tasks or lacking context. The report emphasizes that while AI can automate routine work, human judgment remains essential for critical thinking, creativity, and effective oversight of AI-driven decisions. This is particularly concerning as only a third of respondents reported their employees excel in these areas, limiting innovation and potentially inhibiting the safe use of AI. The findings also raise concerns about skill erosion, especially among professionals who may not regularly engage with coding or complex problem-solving tasks. As AI adoption acceler

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Originally published on The Register on 2/25/2026