This article was originally published on Kiplinger.com on August 7, 2026.


Written by:
Chad Waddoups
Vice President of Wealth Management

AI helps clients plan their retirement and have informed conversations with financial pros. It also can rapidly handle piles of technical work, freeing up your time to talk. Isn't that where the opportunity lies?

Three decades ago, buying a stock required a phone call to a broker, a sizeable fee and the confidence to act on limited information.

Today, a client can analyze their portfolio, stress-test retirement plans and execute trades before finishing their morning coffee. I've seen this transformation unfold remarkably quickly over the course of my career in this industry, and it is still accelerating.

But as technology has made financial planning faster, cheaper and more transparent, it has also introduced a new category of risk—the illusion of certainty. More data and authoritative-looking outputs do not always produce better decisions. And in retirement planning, the gap between what technology can model and what it cannot understand is consequential.

From gatekeeping to empowerment
The shift in financial access over the past generation has been profound. High fees and limited platforms once kept most investors dependent on intermediaries for even basic transactions. The emergence of online brokerage accounts, zero-commission trading and real-time data fundamentally changed that dynamic—and the nature of the advisor-client relationship itself.

Clients come to meetings better informed, ask sharper questions and hold advisors to a higher standard of transparency. That accountability is healthy. It pushes advisors to be more rigorous and to communicate with greater clarity.

Technology has freed advisors from operational tasks that once consumed a disproportionate share of the day. Investment selection, trade execution and portfolio rebalancing were painstaking manual processes at one time.

Today, they are largely automated. That shift allows advisors to direct their attention toward the work that matters most: understanding a client's values, goals and concerns in ways that no algorithm can replicate.

The promise—and limits—of artificial intelligence
Artificial intelligence (AI) has become the most discussed tool in financial planning — and with good reason. AI-powered platforms can process vast datasets, generate retirement projections and identify tax-planning opportunities in a fraction of the time it would take a human advisor working manually.

But while I'd recommend using AI tools to prepare for advisory meetings, they can't replace them. When clients arrive having already worked through an initial plan, the conversation moves past the basics to focus on the decisions that are genuinely complex.

• How do we plan for a child with special needs?
• What does retirement look like for someone who intends to keep working part-time?
• How do we balance competing obligations to aging parents and a college-bound teenager?

These are not questions AI can answer without truly knowing the client, and they are often the most significant.

There is also a subtler risk that plays out more than once in any advisory practice. Clients often assume that because a plan was generated by a sophisticated platform, it is fully personalized to their situation.

In reality, AI outputs are only as good as the inputs they receive. A projection built on incomplete or inaccurate information can create overconfidence—a false sense of retirement readiness that goes unexamined because the output looks authoritative. The plan may be technically sound but emotionally incomplete.

It's important to view AI not as a threat but as infrastructure—a foundation that makes advisory work faster and more precise, while leaving the interpretive and relational dimensions of planning firmly in human hands. The financial advisors who thrive in this environment are not those who resist technology, but those who integrate it thoughtfully.

Beyond the headline technology
AI has been behind some of the most consequential improvements in financial planning. Tax planning is a good example. AI-assisted platforms can now model complex strategies around Roth conversion timing, charitable giving and capital gains harvesting—work that previously required hours of manual effort.

Advisors still review and refine these outputs, but the platform does most of the analytical heavy lifting, enabling more sophisticated planning to reach a broader range of clients.

Automation has simplified everyday financial management for clients as well. AI-powered note-taking tools now capture meeting conversations accurately and feed them into client management systems.

Context from one meeting is preserved and accessible in the next, which is incredibly valuable for maintaining continuity in long-term advisory relationships.

Where human judgment remains irreplaceable
Perhaps the clearest illustration of technology's limits can be seen at the transition from accumulation to distribution—the shift from building wealth to drawing it down. This phase involves products and strategies, including certain annuities, long-term care solutions and income-layering approaches that are typically available only through licensed advisors.

A client relying entirely on self-directed digital tools may not know these options exist, let alone understand how to evaluate them. Bridging that gap is what advisors are for.

Then there is behavioral finance. Markets decline. Plans require revision. Life circumstances change in ways no projection anticipated. In these moments, an advisor's role is not primarily analytical—it is steadying.

The conversations that matter during a market downturn, job loss or unexpected health crisis have nothing to do with spreadsheets.

Helping someone hold a long-term perspective when emotion is pulling in another direction is a distinctly human skill, and one with real financial consequences.

Avoiding costly mistakes in times of volatility can impact retirement outcomes as much as years of disciplined saving.

As automation handles more of the technical work, advisors get to focus on the aspects of planning that are most personal, complex and consequential. That is not a smaller role—it is a more meaningful one.

A more useful question
The right question about technology in retirement planning is not whether to use it. The better question is how to use it well and where to recognize its limits.

The clients who navigate this environment most effectively treat digital tools as a starting point, not a final answer. They use AI platforms to build initial frameworks, then bring them to an advisor who can pressure-test the assumptions, account for the intangibles and translate a spreadsheet into a plan that reflects how they want to live. Technology makes that conversation more efficient. It does not eliminate the need for it.

In a world where financial data is more accessible than ever, the scarcest resource in retirement planning is no longer information. It is the discernment to use it wisely—and that is still a very human strength.

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