At Fundpath, our mission has always been to bridge the Information Disconnect between fund buyers and sellers, making intelligence visible and opportunity possible. But as we move into 2026, “intelligence” is taking on a new, structural dimension.

As Microsoft’s CEO Satya Nadella recently noted on AI, we have moved past the phase of discovery and are entering a phase of widespread diffusion. For the wealth and asset management industry, this is no longer just about “tech upgrades” or efficiency tweaks. It is about a fundamental reshaping of how our firms operate, how we train our future leaders, and how we maintain a competitive edge in a crowded market.

If you are not executing on or planning your AI strategy now, you may risk being left behind.

Below are the five core business shifts we see unfolding over the coming year and what they mean for the future of our industry:

1. Leadership pipelines will begin to lose relevance

A familiar scene is playing out in executive meetings across the City: a manager asks for two new graduates, and the question that comes back is not “Can we afford them?“, but “What would they actually do?”

In 2026, we’ll start to see AI move from being just a productivity enhancer to shaping organisational structure. The shift won’t begin with headline-grabbing reorganisations; it will happen quietly through hiring decisions.

– The Apprenticeship Layer Is Being Questioned: Junior roles in finance, law, accountancy, and consulting have always served two purposes: getting work done and training the next generation. But AI systems now handle much of this “apprenticeship layer”: first drafts, research synthesis, document comparison, and baseline analysis-faster and cheaper.

– The Pipeline Problem: The immediate effect is fewer junior hires. This raises questions about whether traditional leadership pipelines continue to function as they have in the past, and whether they remain the right organising principle over the medium to long term. Organisations may redesign themselves around AI so thoroughly that the traditional concept of a leadership pipeline becomes irrelevant – not because of a lack of succession planning, but as AI works its way up the organisational hierarchy, fewer human leadership roles are going to be required.

– A New Structure: Boards that continue to hire for “leadership pipelines” may soon discover they are optimising for a structure that may no longer exist. This year it’s about graduates, but next year will be about optimising management layers and redesigning organisational structures.

2. A whole range of functions are approaching the “cheaper than a human” line

A whole range of functions are approaching the point where AI can handle them more efficiently than humans and that shift opens up an exciting new chapter. For wealth managers and asset management firms, the key question in 2026 isn’t just what AI can do, but what new possibilities emerge when AI takes on the tasks that are now cheaper and faster to deliver.

With the cost of running GPT‑3.5‑level models dropping by 280× in just two years, we’re entering a world where advanced capability becomes accessible to everyone. That’s not just automation, but a chance to redesign workflows, elevate human talent, and focus people on the work that truly moves the needle.

– Reliability Over Brilliance: Document review, client reporting, compliance checks, and data analysis will need less human-level involvement. But they will increasingly need reliability, speed, and scale. AI can deliver these cost-efficiently, and the economic argument for adoption becomes stronger.

– Redrawing Boundaries: The question for boards is no longer “Can AI do this?” but “Why are we still paying humans to do it?” This shift changes budgets and org design faster than most strategy cycles can handle.

– The Laggard Knock-On Effect: Boards are feeling real pressure, especially as competitors begin rolling out AI systems that meaningfully lower their ‘cost to serve’. As these efficiencies become the new norm, organisations that move more slowly may find themselves at a disadvantage not through dramatic disruption, but through the steady pull of market dynamics.

3. Execution will be everything: The rise of the AI Leader

The real shortage in 2026 isn’t AI tools. It’s people who genuinely understand how to apply them inside a business.

Tools arrive quickly, expectations inflate, and execution often falls apart. Gartner warns that a large share of agentic AI projects may fail due to unclear value and “agent washing.” To win, organisations need a dedicated AI Leadership role.

– Strategic Alignment: An AI leader understands that to win a ball game, you don’t run to where the ball is now; you move to where it’s going to be. With AI capabilities doubling every 6 months, companies must plan for what AI will do for their business in 6-12 months’ time.

– Avoiding the IT Trap: AI plans often get parked with IT teams who are excellent at infrastructure but not at redesigning incentives or decision-making. AI is not a technical mindset problem; it’s a strategic one.

– The Winning Difference: The organisations that win won’t be the ones with the best models. They’ll be the ones with someone in the room who knows what AI is for, where to apply it, and what it should never be allowed to do.

4. “Vibe coding” goes corporate and the developer moat recedes

We are seeing a convergence where software is built through conversation, supervision, and iteration rather than line-by-line coding.  The traditional developer advantage is evaporating.

Specifically, Anthropic’s latest release of Claude Code has been heralded as a complete gamechanger.  Over the past 3 weeks leading developers worldwide are increasingly acknowledging a fundamental shift in how software is produced.  The implications are profound:

– Abundant Throughput: In 2026, software throughput becomes abundant; the scarce resource is judgement (what to build, controls, outcomes).

– New Gatekeepers: People who understand business strategy, operational outcomes, and client needs become the new gatekeepers.

– Outcome-Based KPIs: Success will no longer be measured by deployment frequency, but by business outcomes – reduced cost, increased sales, and lower headcount.

5. The broader economic landscape will be impacted

If you want to understand the future of knowledge work, look at the Philippines. The sector there is being disrupted not because it is low-skill, but because it is structured, repeatable, and language-based.

– The End of Labour Arbitrage: This isn’t the end of offshoring; it’s the end of labour arbitrage as a strategy. When intelligence becomes cheap and abundant, the advantage of having lots of people doing similar knowledge work evaporates.

– Exposure Audits : Companies will look at their organisations, identify where their business relies on repeatable language/process work and what it costs per unit.

– Move Up the Value Chain: Companies will not just “add AI”; they’ll rework the process so automation handles the routine, with humans handling judgement, exceptions, and high-trust client relationships.

Conclusion: The Window for Exploration is Closing

For the wealth and asset management community, 2026 is the year “AI strategy” stops being optional.

If there is one mistake boards will make this year, it is treating AI like a bolt-on productivity tool. It is not. It is a structural change to workflows, how investment decisions are supported, and what it costs to run a company.  This is not a project for your IT department, it is a fundamental shift that will involve bold leadership, strategic AI application and change management skills.

At Fundpath, we’ve seen firsthand how data and intelligence can completely elevate distribution. For the companies ready to embrace it, the opportunities ahead are extraordinary. The gap between early movers and everyone else won’t just widen; it will open up new space for innovation, efficiency, and smarter ways of working. This is a moment where progress accelerates, and those leaning in will shape what comes next.

In 2025, your question may have been: “Can AI help our business?“

In 2026, it must be: “How do we get started, and who is going to own it?”

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