A conversation with Ian Brown
July 9, 2026
Strategic consultant and board advisor Ian Brown joins RealityMine® CEO Chris Havemann to discuss how AI is reshaping the basis of competition for consumer businesses — from the death of traditional brand marketing to why "splitting the funnel" between human and agent paths is now a strategic priority.
Ian Brown has seen a lot of transformations. From engineering on the London Underground, through fifteen years at Oliver Wyman, to running rentalcars.com at its peak as the world's largest online car rental platform, to leading the UK and Ireland business at Flutter — the parent company of Paddy Power, Betfair, Sky Bet, and PokerStars. He knows what it looks like when industries get remade.
In this episode of After the Download, Ian joins Chris to think through what it means for business leaders — and for consumer behavior — when AI stops being a productivity tool and starts being the decision layer.
Here are the themes that stood out.
Let's talk about what behavioral intelligence can reveal.
Ian's framing of the AI moment is worth holding onto. The internet, he argues, was transformational because it changed distribution — of products, information, services. AI is something different. It's the first technology to impact the cognition and judgment layer.
"You kind of move from humans doing tasks enabled by tools to humans supervising the agents that are doing the tasks."
That shift, he says, will be at least as disruptive as the internet — and probably more so, because it changes which businesses can exist at all, not just how existing businesses operate. Ian's former employers couldn't have been built in a pre-internet world. The same thing will happen again, with AI.
The implication for business leaders is existential. "How can AI help people fundamentally rethink businesses?" is the question Ian keeps coming back to — and in his view, not enough leaders are asking it yet.
A lot of the current conversation about AI in business is, as Ian puts it, "efficiency AI." How do you do the same work with fewer people? How do you take cost out?
That's a legitimate first step. But the more important question is what happens to the basis of competition when everyone in your industry can rent the same frontier AI model.
"If everybody I've been competing against can essentially rent the same frontier AI model capacity that I can — what's the basis of competition now?"
Scale, Ian argues, no longer confers the advantage it once did. Brand will still matter in categories where trust is genuinely high-stakes — healthcare, financial planning, high-consideration purchases — but in plenty of categories, brand as a shortcut for trust erodes when an agent is doing the choosing.
The leaders Ian finds most thoughtful are the ones asking second-order questions: What's my strategic moat in three to five years? What are my real sources of competitive control? And where do I place my chips, given that a lot of what I used to rely on is slowly getting weaker?
Chris raised something that sits at the center of what RealityMine® does: as AI becomes the primary interface for discovery, the data businesses have traditionally relied on starts to break.
Ian put it directly. Attribution in ad platforms is starting to fail. Clicks, sessions, search terms — the "data exhaust" of the pre-AI web — is thinning out or disappearing into black boxes. And as agents take over more of the discovery-to-decision journey, the gap between what brands think consumers are doing and what they're actually doing grows wider.
"How do you distinguish that really valuable, increasingly scarce human signal — from initial intent all the way through to decision and purchase — from all the noise out there?"
This is where Ian expressed genuine excitement about what behavioral intelligence — the kind captured passively and consented to, across real device usage — can offer. As the old digital signals degrade, observed behavioral data becomes more valuable, not less.
One of the most practical frameworks Ian offered was the idea of "splitting the funnel." In an agentic world, businesses will need to serve two fundamentally different journeys: the human path, where users are still making decisions through a UI, and the agent path, where software is navigating on a consumer's behalf.
The businesses that thrive, he argued, will be the ones that optimize explicitly for both — and don't let the two bleed together.
"If you haven't split the path, and you've got one path for your kind of UI, and now you've got humans and agents all interacting in the same place — your metrics are just gonna go haywire."
Optimizing for the agent path looks different from optimizing for humans. It's about well-structured proprietary data, low latency, clean APIs, and differentiated supply. And critically: owning the transaction. Ian was clear that being a thin intermediary — an aggregator that doesn't hold the merchant-of-record relationship — is a vulnerable position in an agentic economy.
One of the more grounded takes in the conversation was on the future of the app ecosystem. Ian doesn't expect apps to disappear overnight. "We've been trained for fifteen or twenty years to use apps," he said. Habits take time to change, and the apps that survive will be the ones that are the experience, not just the interface.
Social apps, gaming, banking, highly regulated categories — these have a durable reason to exist. The more vulnerable tier is what Ian called "thin in the middle" utility apps: aggregators and lightweight retail surfaces that exist primarily as a clean UI shortcut. When an agent can make an API call instead, that shortcut loses its value.
Chris returned to the theme of trust late in the conversation, and Ian drew a distinction worth holding onto. On the business side, trust in an agentic world is about reliability and accountability — will this agent do what I need, and who's responsible when it doesn't?
On the consumer side, it's about representation and alignment. Ian said he'd trust an agent to book his train from Manchester. He wouldn't trust one to make healthcare or financial planning decisions for his family. The category determines the tolerance.
He also pushed back on himself with a useful contrarian observation: trust can matter less than we assume, especially in low-stakes situations. People use tools they don't fully trust all the time, if they're convenient enough. The key variable is what's at stake.
One thing Ian was clear on: whatever gets handed to agents, businesses should not give up the hard emotional moments — refunds, disruptions, when something goes wrong. Those are the moments humans still want to deal with humans.
Chris asked Ian to close by thinking about what the next three to five years look like for a CEO of a consumer business. The challenges he named were familiar — talent, timing, capital allocation — but the framing was specific to the AI moment.
Ian's answer came back to culture. In a world where the technology keeps changing, often discontinuously, where regulatory environments shift without warning, where boards want defensible ROI cases that may take too long to build — the businesses that win will be the fastest learners, not necessarily the ones that get the answer right first.
"The job is no longer to be exactly right. It's getting the culture right, getting the people right, and being able to execute at a pace where you're the fastest to stop being out of date."
He also flagged something quieter but important: anxiety about irrelevance changes how people behave inside organizations. If people fear AI will make their role redundant, candor starts to erode. Leaders who understand that dynamic — and create the conditions for honest, open learning — will have a material advantage.
After the Download is hosted by RealityMine® CEO Chris Havemann. New episodes explore how consumer behavior is changing in the digital economy — and what that means for the businesses competing for attention and share.
Listen to episode 6 on Apple Podcasts | Spotify
