The challenge facing most enterprises right now is not a lack of AI investment. It is a lack of coherence.
Organisations have accumulated tools faster than they have built the operational infrastructure to govern, measure, and connect them – and the consequences are showing up in cost overruns, fragmented data, and the inability to translate promising pilots into real competitive advantage.
This is the conversation that Stelia’s VP of Media & Entertainment, Ula Nairne, sat down to have with Simon Spire, Founder of Data Agents, as part of his Precision Brief series. Drawing on more than 15 years at the frontier of AI, Ula brings a level of perspective that cuts through the current noise.
The discussion moves from the shift in enterprise AI maturity – from individual tools to orchestrated operating systems – through to the commercial consequences that boards and leadership teams are only beginning to reckon with. Infrastructure decisions are now marketing costs. Tokens are a unit economics metric. And the organisations that will build durable advantage with AI are those that own their data, have control over the entire AI stack, and can move fast without sacrificing governance, reliability, or cost.
Ahead of Cannes Lions, Ula also uses this conversation to reflect on what she observed at CES and POSSIBLE Miami – and what the consistent gap between impressive tooling demos and robust infrastructure foundations means for brands attempting to make confident, long-term decisions.
The conversation covers:
- From tools to operating systems – why enterprises are reaching the limits of fragmented AI tool adoption, and why unified orchestration across the entire stack is now the critical factor.
- Redesigning operating models, not headcount – what AI adoption actually changes about how organisations are led, and the shift from command-and-control to coordination.
- Tokens as a marketing cost – why infrastructure decisions are becoming CMO territory, and how token economics directly affect margin at scale
- Governance and cost as the twin challenges – why you cannot separate the commercial case for AI from the control mechanisms around it
- The data advantage – why ownership of proprietary data is the defining competitive variable for businesses looking to capitalise on AI capabilities.
- Speed to value – how having the right infrastructure materially compresses deployment timelines, and why that changes board-level conversations.
Learn more about how Stelia AI OS helps business leaders turn AI into revenue, efficiency, and competitive advantage here.
