Pearson CTO has the solution to the AI productivity gap

2026-03-19 · Source: Tech Monitor · Field: Business & Management — Corporate Strategy & Leadership, Human Resources & Workforce Development, Operations & Process Management · Depth: Intermediate, quick

Summary

Pearson CTO Dave Treat argues that the widespread integration of AI tools has not yet translated into significant productivity gains due to a fundamental "learning gap." He contends that access to AI alone is insufficient; true productivity improvements stem from embedding continuous learning directly into daily workflows. Treat highlights that traditional one-off training is ineffective, advocating instead for a system where human judgment, AI assistance, and feedback are continuously reinforced within operational tasks. This approach requires redesigning work at the task level and fostering learning habits, supported by integrated AI guidance and personalized coaching. He emphasizes that organizational leaders, particularly CTOs and CHROs, must collaborate to champion this shift, making learning an integral part of process design from the outset to unlock system-level performance improvements.

Key takeaway

For technology and HR leaders aiming to boost organizational productivity with AI, you must shift from viewing AI as a tool to seeing learning as infrastructure. Redesign your workflows to embed continuous skill development and feedback directly into daily tasks, ensuring human judgment and AI assistance reinforce each other. This collaborative approach between CTO and CHRO will transform AI from experimental initiatives into measurable system-level performance improvements.

Key insights

Learning capacity, not technology access, is the primary constraint on AI-driven productivity gains.

Principles

• Learning must be embedded in the flow of work.
• Human judgment and AI assistance must reinforce each other.
• Learning is an integral process, not an afterthought.

Method

Redesign workflows at the task level to integrate AI assistance, human judgment, and continuous feedback, fostering learning habits through personalized coaching and AI guidance within daily operations.

In practice

• Integrate AI guidance into daily tasks.
• Teach simple learning habits like goal setting.
• CTO and CHRO should co-architect transformation.

Topics

• AI Productivity
• Workforce Learning
• Workflow Redesign
• Continuous Skill Development
• AI Integration Strategy

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

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Monitor.