By: Alan Koenigsberg, Founder & CEO, Koenigsberg Insights

Time to hand over the keys….

What we are witnessing is what’s called a generational transfer of wealth. That’s accurate – but it’s not complete. What’s happening here is something much more significant: the simultaneous transfer of wealth, knowledge, judgment, and intellectual capital – all of which will intersect head-to-head with the growth of artificial intelligence. An estimated $124 trillion of economic assets will flow through the US economy over the next quarter century – likely the single largest reallocation of capital in contemporary history.

But if you look at only the money, you miss the real story. Who inherits the wealth is not the real question. It is who inherits the judgment to administer it, and what happens if they don’t.

As I discussed in a recent interview in CEO Weekly, The Ten Forces Reshaping How Money Moves and Why They Matter,” payments have evolved from background infrastructure to the very nucleus of global commerce. They now impact liquidity velocity, operational resilience, market efficiency, and, increasingly, institutional competitiveness. The great transfer marks the confluence of other major shifts driving opportunity and caution.

The ‘Hidden Layer’ of the great transfer.

Financial assets are visible. They are well-monitored, regulated, audited, and measured to the nth degree. But the systems that make those assets productive – the judgment behind decision-making, the relationships that bear fruit and the institutional knowledge that serves both – are far less tangible in this regard.

After 30-plus years working in global payments, banking, and financial infrastructure, I’ve learned a simple truth that organisations are not built on what gets written on them. They are also built from what is learned, absorbed, and experienced over time. Studies reliably document only 20-30% of operational processes formally. The last 70-80% live informally, in habits, instincts, cultural norms, and judgment under pressure. That gap matters. Organisations give documentation of how a loan can be processed, risk calculated, and regulations handled. But the nuance – client relations, decision context, leadership judgment – is often undocumented and, over time, obscured.

The COVID-19 pandemic has only accelerated that loss. A whole generation was deprived of real-world mentorship – the sort that develops intuition, credibility, and trust. That absence still manifests today. We’re not simply moving capital. We are shifting context, and context doesn’t simply shift.

From apprentice to algorithm

Industries such as banking, law and investment management have trained on apprenticeship models for decades. You didn’t learn by doing – you learned by observing. Sitting in meetings. Watching negotiations. Observing how experienced leaders handled ambiguity, conflict, and risk. This model is under pressure again. Remote work has fundamentally altered how people learn.

At the same time, digital-native generations come into it with different expectations about speed, access, and communication. On top of that, the rise of artificial intelligence is now also playing a role. AI is already transforming how work is accomplished, writing code, analysing data, generating insights, and increasingly driving decisions. As McKinsey points out, generative AI alone could bring in $340 billion more dollars per year in banking.

But here’s the reality:

AI compresses years of work into moments of output. It can replicate a process. It cannot replicate intuition. Yet organisations are increasingly training systems using outputs without knowing the human logic behind the outputs.

If the next generation is learning through AI rather than apprenticeship, who is modelling how to make decisions when things don’t go as planned?

Gen X: bridging one generation to young generations

Generation X occupies the centre of this shift. We are the connection between the analogue experience and digital acceleration, between institutional memory and algorithmic decisions.

For the next decade, Gen X will dominate and shape gargantuan capital streams, while also continuing to hold vital leadership roles across industries. But that position is fraught with responsibility. We are not only the recipients of wealth; we also serve as knowledge translators. And the challenge, of course, is that the pace of change is outstripping how organisations convey knowledge. When the speed of knowledge overtakes comprehension, risk increases.

Relationship equity: the most underappreciated asset

Among the capital today that has been overlooked the most is relationship equity. Relationships are like a bank account, to me. Trust, collaboration, and mentorship are deposits. Conflict and stress are withdrawals. The relationship remains in place only if the balance is strong.

In the “old-world”, those deposits were accumulated almost always by proximity – hallway talks, shared business trips, informal opportunities that never showed up on an org chart but dictated the way decisions were made. Today, many of those moments are disappearing. Digital communication is efficient, but often transactional. It can identify the “what,” but not necessarily the “how” or the “why.” Without an equivalent degree of relationship equity, organisations become brittle. Decisions become fragmented. And systems shatter under pressure.

Institutional memory, and the cost of losing it

History is clear. From the 1987 crash to the dot-com bubble to the 2008 financial crisis, periods of rapid innovation tend to be linked to gaps in institutional memory. Mistakes happen if experience isn’t transferred – just in new guises.

Today, we are not short on data. In fact, you could argue that we are overwhelmed by it. But data untethered from context is dangerous. Institutional memory offers a mechanism for that context. When organisations can’t translate experience into what the next generation can comprehend, they don’t just lose knowledge; they lose judgment. And markets don’t forgive that.

New financial behaviours under a new system.

At the same time, financial behaviour is changing. BNPL (Buy Now, Pay Later) models are transforming the way consumers handle general finances – not just discretionary spending. Access is expanding. Flexibility is increasing. But so are the risks. At the level of infrastructure, blockchain, tokenisation, and stablecoins are reshaping how value flows – more rapid settlement, programmable money, more inclusion. These are revolutionary and powerful innovations. But they also create less friction. And the friction – it’s so often inefficient – has, in the past, been useful. It slows decisions down only enough to allow space for reflection. Now we are constructing systems for moving fast. The question is whether they are also becoming more thoughtful.

At the same time, agentic AI – systems that don’t just analyse but also act – is just starting to transform the making of decisions. We are entering a real world where machines are not just supporting choices, they are shaping them. That gives rise to a new type of dependency:

The quality of the results is a function of the quality of inside knowledge in the system. If that knowledge is incomplete, outdated, or out of sync with contemporary, applied judgment, the risks multiply rapidly.

A leadership moment in its purest form

The Great Transfer is an unprecedented opportunity and a profound responsibility. Today’s leaders are managing more than organisations. They are navigating a shift between periods. That takes more than new technology. It takes rethinking knowledge transfer, relationship making, and judgment development in a digital-first world. Because financial systems are not simply technological systems. They are human systems. Their real ability depends on the decision quality taken inside them. The institutions that make it will not be the fastest to digitise. They will be the ones who keep the wisdom while scaling speed.

The way forward

Technology is going to keep developing – that’s going to happen. AI can be the engine boosting productivity, increasing participation, and opening up whole new frontiers of innovation. But there is a need to keep a balance to that progress. Efficiency cannot be achieved at the price of judgment. Understanding cannot be substituted for speed. Access needs to be matched with responsibility.

Because at the end of the day, infrastructure decides who gets to join. And participation decides who prospers. The goal is not just to produce faster systems. It is to construct systems that are inclusive, resilient, and based on both technology and human experience. Because financial systems only work if they work for everyone. And finally, while it does seem obvious, all ecosystem players need to keep the following at the forefront to ensure scale, usability, safety, and cost… Infrastructure determines participation. And participation is the key to prosperity.