In this episode, Mark Concannon sits down with AI strategist and technology leader Paul Heard to unpack the rapidly changing relationship between AI, employment, and business value. Paul breaks down how companies can use AI to enhance productivity, why so many AI projects fail to deliver ROI, and what it really takes to prove the value of digital employees inside an organization.

The conversation explores how education and upskilling must evolve, why accountability in AI outputs matters more than ever, and what leaders should understand about integrating AI responsibly. Whether you're an executive, innovator, or curious professional, this episode offers a grounded, practical look at the future of work — and the skills that will define it.

Ideal for listeners interested in AI, employment trends, digital employees, business productivity, technology adoption, innovation, AI strategy, future skills, and proof-of-concept development.

⭐ Key Takeaways

AI is best used as a productivity tool that amplifies human work.

Understanding business value is essential when designing AI solutions.

Many companies hesitate to adopt AI due to regulatory and compliance concerns.

Digital employees will play a growing role in future workforces.

Education must shift toward helping people use AI to boost productivity.

Proof of concepts are critical for demonstrating the real value of AI.

A large percentage of AI projects fail to produce meaningful returns.

Accountability and ownership of AI outputs are required for responsible adoption.

AI can be used to validate other AI systems, creating new quality-control models.

The employment landscape is shifting as AI reshapes job expectations and skills.

I hope you enjoyed this episode! 
- Mark and the People are the Point podcast team

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