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In Great Expectations, Charles Dickens gives us Pip—a young man convinced that wealth will deliver meaning, security, and social legitimacy. His expectations are grand, his assumptions unexamined. Only later does he learn that money can elevate appearances while hollowing out character, and that true worth is revealed not by inheritance, but by integrity.
Two centuries later, financial advisors find themselves guiding modern-day Pips.
We all know clients—friends, colleagues, neighbors—who quietly expect a future inheritance. A family vacation home. An inherited IRA. A liquidity event from a parent’s disciplined saving. Even crypto wallets tucked away and rarely discussed.
And they may be right. America is on the cusp of the largest wealth handoff in history—an estimated $124 trillion expected to transfer between generations by 2045. Advisors have spent years preparing families for this moment: modernizing estate plans, educating heirs, and designing tax-efficient transfer strategies.
But just as assets begin flowing downstream, a new pressure is building upstream.
Artificial intelligence is reshaping careers in ways few retirement projections anticipated—particularly for mid-career professionals who once felt insulated by education, experience, and status. The question advisors must now confront is deceptively simple:
What happens when “great expectations” arrive early—or reverse course altogether?
When Wealth Planning Meets Career Fragility
Traditional retirement planning assumes a familiar arc: peak earnings in the 40s and 50s, followed by gradual deceleration toward retirement. AI complicates that storyline.
What if today’s 45- to 55-year-old clients—prime savers with carefully sequenced plans—face sudden career disruption and struggle to replace income at comparable levels? What if family capital once earmarked for heirs must instead serve as a bridge for parents whose working lives were unexpectedly compressed?
In Dickens’ world, Pip mistakes financial sponsorship for destiny. In ours, many families mistake inheritance expectations for certainty.
For advisors, the implication is profound. The Great Wealth Transfer may not simply unfold on schedule. It may accelerate, fragment, or flow in reverse, forcing families—and their advisors—to rethink how, when, and why capital is deployed.
Managing Expectations Across Generations
In Great Expectations, Dickens repeatedly exposes the danger of unspoken assumptions. Pip believes wealth confers gentility; society reinforces the illusion. Only later does he understand that reputation without integrity is fragile—and often costly.
Modern inheritance expectations suffer from a similar flaw.
Research from Cerulli Associates shows that 56% of affluent investors expect to receive an inheritance or already have. Younger generations, in particular, anchor future security to anticipated family wealth—often without clarity on timing, conditions, or competing demands.
Complementary research from Vanguard suggests that while many investors expect an inheritance, far fewer incorporate it formally into retirement projections—and fewer still discuss contingency scenarios such as delayed transfers, healthcare shocks, or intergenerational support obligations. In short: expectations are high, planning discipline is uneven.
Critically, many of these conversations occur without an advisor present—a missed opportunity with real retention risk. Heirs introduced to an advisor only at the moment of transfer are significantly less likely to maintain that relationship. In a world of AI-driven career uncertainty, that disconnect becomes even more consequential.
The New Risk Isn’t Just Market Volatility—It’s Career Volatility
A December 2025 Microsoft Research paper offers a sobering backdrop. After analyzing millions of interactions with Bing Copilot, researchers identified roles with high “AI applicability”—jobs heavily reliant on information synthesis, drafting, and analysis.
Among those most exposed:
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Journalists
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Sales representatives
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Web developers
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Economists and educators
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Personal finance advisors
The takeaway isn’t that these roles disappear—but that productivity expectations, compensation structures, and career longevity may change faster than most plans assume.
“We’re running more scenarios around job disruption due to AI,” says Aaron Cirksema, CEO of MDRN Capital in Annapolis, MD. “Clients may need larger emergency reserves and more flexible plans because the risk isn’t only market volatility anymore—it’s career volatility.”
For advisors, this reframes the core planning question. It’s no longer simply Will your savings last? Increasingly, it becomes:
Will your career last long enough to build the savings you expected?
When Family Wealth Flows the ‘Wrong’ Way
Dickens forces Pip to confront an uncomfortable truth: the source of his wealth matters. Money received without understanding—or humility—can distort judgment and strain relationships.
The same is true for families navigating unexpected financial dependence.
Younger clients may absorb volatility as opportunity; longer time horizons allow for reinvention. Older clients facing mid-career disruption, however, confront a compressed runway—too young to retire, yet suddenly misaligned with a labor market reshaped by automation.
In these moments, family wealth may shift roles—from legacy asset to intergenerational safety net.
For advisors, this requires a fundamental reframing. Multigenerational planning must become bi-directional. Capital flows are no longer linear. They resemble a circulatory system—adaptive, responsive, and deeply personal.
Handled poorly, these shifts breed resentment and guilt. Handled well, they reinforce trust, transparency, and shared purpose.
AI as an Advisor Multiplier, Not a Moral Substitute
If the narrative feels destabilizing, Steve Gresham, CEO of Next Chapter, urges advisors to zoom out.
“Ditch the dire warnings about AI destroying advisor practices,” Gresham says. “AI’s impact on advice will be far more positive than negative—if advisors use it wisely.”
His view echoes a Dickensian lesson: tools don’t confer character; people do.
AI can democratize information, expand access, and improve efficiency. But it cannot replace judgment—or moral responsibility.
“Use AI to gather information and analyze,” Gresham cautions. “But remember that 70% to 90% of financial decisions are emotional. That’s where advisors remain irreplaceable.”
In Great Expectations, Pip ultimately learns that redemption comes not from status, but from self-awareness, loyalty, and compassion. Advisors face a similar reckoning. AI may optimize inputs—but the advisor remains the fiduciary steward of meaning, context, and values.
The Advisor as Interpreter of Meaning
The advisors who thrive in this next chapter will not merely manage portfolios; they will help clients interpret change.
Alex Kirby, CEO of Total Family, describes the future as belonging to “visionary advisors”—those willing to evolve alongside their clients’ lives.
“The best advisors don’t just help clients make financial decisions,” Kirby says. “They help them make decisions, period.”
That includes preparing clients for uncomfortable possibilities—career disruption, altered retirement timelines, and unexpected dependence. These conversations aren’t about fear. They’re about foresight.
A New Planning Imperative
The Great Wealth Transfer will still arrive. But it will not unfold evenly, predictably, or without moral complexity.
Advisors who prepare families for flexible wealth flows, unpredictable careers, and emotionally charged decisions will do more than survive the AI era—they will lead through it.
As Dickens reminds us, true fulfillment is not found in meeting great expectations of wealth, but in moral growth, clarity of purpose, and human connection.
That, ultimately, remains the advisor’s highest calling.
Final Word
“AI will make good advisors better,” says Next Chapter’s Gresham. “But only if they remember their role isn’t just analytical—it’s ethical. Advisors are the moral compass for family wealth, not just for this generation, but for the ones that follow.”