There’s a version of this conversation that the asset management industry has been having with itself for about a decade. It usually starts with something like “digital transformation is coming” and ends with a refreshed website and a new app that nobody uses. The consultants go home, the PowerPoint slides are filed, and the real business (mandate management, fee negotiation, relationship dinners) continues almost entirely as before.
That era is ending. Not gradually. Fast.
The challengers that have spent the last five years building digital infrastructure are now scaling it. The fintech disruptors that were once dismissed as “interesting but not really our market” are now sitting in front of the same clients. And the arrival of genuinely autonomous AI agents, not AI as a feature but as a real layer of investment intelligence, is about to change the way firms compete in this industry in ways that legacy players are structurally unprepared for.
This isn’t a piece about technology adoption. It’s a piece about strategy. Specifically, about why so many traditional asset managers keep making the same category of mistake, and what it reveals about how they think.
Ask the digital or transformation lead at any established asset manager what they’re focused on and you’ll hear a familiar set of themes: operational efficiency, client portal experience, data and analytics, maybe something about AI in the back office. These are real programmes, with real budgets, often led by genuinely capable people.
But they share a defining characteristic: they are defensive. They are designed to protect existing relationships and reduce cost-to-serve, not to fundamentally rethink what the firm offers or how it competes. They treat digital as infrastructure rather than as a strategy.
Challengers don’t make this mistake because they can’t afford to. When you’re building from scratch, with no legacy custody arrangements, no inherited client reporting stack, no 30-year-old model that just needs to be left alone, you must build something that’s better. That necessity produces genuine innovation. At scale, it produces a structural advantage.
The traditional asset manager’s digital budget is almost always a fraction of the technology spend already committed to keeping existing systems running. The challenger’s entire capital base is pointed at building the new thing.
That asymmetry doesn’t resolve itself. It compounds.
The temptation when writing about “fintech disruption” is to focus on the product layer: the slick interface, the lower fees, the frictionless onboarding. These things matter, but they’re downstream of something more fundamental.
What the best challengers have built is a channel model that fits how modern clients behave. They don’t think about digital as a service delivery mechanism, the kind of portal you log into for information that used to arrive in a PDF quarterly report. They consider it the primary relationship. The data model, the communication logic, the investment narrative: all of it is designed around continuous, personalised, multi-channel engagement.
That’s not a UX decision. It’s a strategic one. It requires a clear point of view on your client segments, a distribution model built to serve them at scale, and an operating model that can execute without grinding to a halt every time three people in the relationship team need to sign off on a piece of communication.
Legacy firms tend to have excellent individual client relationships managed by excellent people who are entirely unreplicable at scale. Challengers tend to have scaled relationships that are less warm but far more efficient, and they are closing the quality gap quickly.
The firms genuinely winning in the middle ground, the Schroders, the Nuveens, the Man Groups of the world, are the ones that have figured out how to scale without losing the human element. That’s a hard organisational problem, not a technology one.
The industry conversation about AI in asset management has, until recently, been dominated by two narratives that are both somewhat misleading.
The first is the productivity narrative: AI will help analysts process more data faster, help compliance teams review documents more efficiently, and help client service teams draft communications more quickly. This is true and largely underway. It’s also table stakes. Every firm, legacy or challenger, is doing some version of this.
The second is the risk narrative: AI in investment processes creates model risk, regulatory uncertainty, and fiduciary exposure. Also, true. Also, not the real story.
The real story is AI agents operating as a client-facing intelligence layer, autonomous systems capable of monitoring portfolios, identifying opportunities or risks, generating contextualised commentary, and initiating communication without a human trigger. Several challenger platforms are already deploying early versions of this. The client experience isn’t “you can log in and ask our AI a question.” It’s “our system noticed something relevant to your portfolio this morning and has already surfaced it with context.”
For a traditional asset manager, this creates a genuinely uncomfortable competitive position. Their value proposition, in its simplest form, is that they have smart people who make good decisions about your money. AI agents don’t replace that. But they do make it possible to deliver a version of that proposition at a fraction of the cost, at a speed humans can’t match, and at a level of personalisation that a human-led relationship model can only approximate.
The firms that will lead in five years are those asking right now: what does our value proposition look like when AI agents are a commodity? What are we, specifically, still better at? And how do we build a digital model around the genuine answer to that question, rather than the answer that makes us feel most comfortable?
Those are strategy questions, not technology questions. Very few traditional asset managers are treating them as such.
One of the persistent blind spots in legacy asset management is treating distribution as a separate function from client experience. The distribution team does its thing: managing intermediary relationships, running roadshows, handling institutional sales. The digital team does its thing. Occasionally, they coordinate. Often, they don’t.
The challengers are laughing at this. Not unkindly, but genuinely.
Because what the best digital firms have understood is that distribution and experience are the same thing now. Every touchpoint is a channel moment. The way your investment updates are structured is a distribution strategy. The way your client portal presents performance attribution is the distribution strategy. The way your thought leadership reaches a CIO at a pension fund before anyone from your firm has called them is a distribution strategy.
SEO, content depth, structured data, AI-optimised copy: these aren’t marketing department concerns. They are how your firm’s ideas reach the right people at the right moment in the right context. A well-researched, authoritative piece of content that ranks for the right professional search terms will reach more relevant prospects than a hundred relationship dinners. That’s not speculation; it’s visible in the data for firms that have chosen to look.
Channel optimisation in 2025 means understanding how your ideas travel: through search, through generative AI surfaces, through social distribution among professional communities, through recommendation. Legacy firms typically have one strong channel (the institutional relationship) and a scattering of underinvested ones around it. Challengers are systematically building the architecture to compete across all of them.
The point isn’t that relationships don’t matter. They absolutely do, especially at the institutional end of the market. It’s that they increasingly exist within a competitive context where your digital presence either reinforces or undermines the relationship long before the meeting happens.
There’s a final dynamic worth naming directly.
Many of the large traditional asset managers have spent considerable sums on strategy consulting over the past decade. They have roadmaps, transformation programmes, centres of excellence, and innovation labs. They have done the work on paper.
What they often haven’t done is change.
This isn’t a criticism of the individuals involved. It’s a structural observation. Legacy asset managers are, in many cases, partnership cultures built around investment excellence. The culture is calibrated to protect the alpha generation engine, and rightly so. But it is also often calibrated to kill off transformation at the point where it starts to feel genuinely disruptive.
A challenger doesn’t have that cultural antibody. It has survival pressure. Those are very different operating environments.
The firms that have successfully navigated this (and there are some) have done it by treating digital strategy as a CEO-level priority, not a technology initiative. They’ve accepted that the discomfort is the point. They’ve built external partnerships not to outsource the thinking but to maintain external pressure on a culture that will, left to itself, default to “let’s do this incrementally.”
Incrementalism is a perfectly rational strategy if you have time. The evidence increasingly suggests that traditional asset managers have less of it than they think.
The next 18 months in asset management will be revealing. AI agent capabilities will move from experimental to structural. Challenger platforms with genuine digital maturity will start winning mandates that would previously have been unthinkable for them. Regulatory frameworks around AI in financial services will start to crystallise, reducing uncertainty for firms bold enough to have already built for it.
The firms that enter this period with a genuine digital strategy (not a digital team, not a digital programme, but an actual view on how technology changes their competitive position and a plan to respond to it) will be very well placed. The firms still treating it as a back-office efficiency story will find themselves having a much harder conversation with their boards.
Remarkable is currently conducting a comprehensive analysis of digital maturity across UK and international asset managers, closely examining what the leading firms are doing, where the real gaps are, and what good looks like in this context. It’ll be out shortly, and the findings are starker than the consensus would suggest.
Watch this space.
