In this episode, Ian P. Cook, SVP for AI at Qloo offers one of the clearest and most practical perspectives on AI adoption available today. Rather than getting distracted by AGI hype cycles, billion-dollar valuations, or science-fiction narratives, the discussion focuses on the realities facing organisations right now: how to identify real business problems, where AI can create measurable value, and why speed, experimentation, and change management matter far more than grand strategy documents.

Drawing on experience spanning machine learning, product development, political science, and organisational behaviour, Ian explains why many companies are approaching AI the wrong way. Instead of attempting massive transformations overnight, businesses should focus on solving specific operational friction points with fast, targeted experiments that can prove value quickly.

The conversation also explores how the next generation of AI systems will evolve from standalone tools into agentic environments that adapt to organisational context and workflows. Along the way, it challenges many of the dominant assumptions surrounding AGI, automation, and the future of work, replacing fear and hype with grounded, actionable insight.

Key takeaways from the episode include:

• Why the AGI conversation is often more about valuation narratives than practical business outcomes
• The biggest mistakes organisations make when trying to become “AI-first”
• Why small and medium businesses may actually have structural advantages in AI adoption
• How to approach AI change management by focusing on employee pain points first
• Why rapid experimentation and prototypes matter more than lengthy strategy exercises
• How AI tools are evolving into context-aware agentic systems
• Why philosophy, political science, and human behaviour are becoming increasingly relevant in the AI era
• Practical advice for overwhelmed business leaders trying to navigate constant AI hype cycles
• The real questions employees are asking about automation, job displacement, and trust

This episode is particularly valuable for:
• Business leaders and executives trying to separate signal from noise in AI
• Small and medium business owners looking for practical AI adoption approaches
• Strategy, transformation, and innovation leaders
• Product and technology teams building AI-enabled services
• Change management and people leaders navigating workforce adoption
• Anyone fatigued by AI hype and looking for grounded, intelligent conversation about what actually matters

If you are looking for a discussion focused less on fantasy and more on execution, organisational reality, and practical transformation, this episode delivers exactly that.