From Marble Cake to Long-Distance Calls: Rethinking AI in the Enterprise
The discussion explores the gap between treating AI as a standalone tool and recognising it as something embedded across operations, culture, and decision-making. It highlights why many organisations struggle to move beyond experimentation, often due to weak data, poor governance, and overlooking the human side of change.
It also examines the tension between productivity and over-reliance, alongside the cultural dynamics of adoption and the role of leadership, offering a more realistic perspective on achieving long-term value through an integrated, organisation-wide approach.
Key Takeaways:
Why AI adoption often stalls when treated as a standalone tool rather than an embedded capability
How the “marble cake” concept reframes AI as something integrated across the entire organisation
What drives the high failure rate of AI initiatives and how to recognise these early warning signs
The different employee responses to AI adoption, from enthusiasm to resistance
Why focusing on prompts and demos alone (“prompt theatre”) rarely translates into real value
The critical importance of data, governance, and operating models in scaling AI successfully
How to balance AI adoption with human judgment, decision-making, and organisational culture
Enjoy,
Joshua Rubens 👉 LinkedIn
Tom Leyden 👉 LinkedIn
