The wrong way to think about AI

Financial advisors are hearing two very different stories about artificial intelligence. One is that AI is the future of everything, and that anyone not already using it is behind. The other is that it is overhyped, impersonal, risky, and best left alone until the dust settles. Most advisors do not need either version. They need a calmer, more practical way to think about it.

There are now many ways to access AI. ChatGPT is one familiar example, but it is only one option. Advisors may also encounter AI through Microsoft Copilot, Google Gemini, tools built into software they may already use, or platforms approved by their firms. The important thing is not finding the perfect tool on day one. It is choosing one trusted point of entry and using it enough to discover whether it is genuinely useful to the practice.

That is where the exploration and conversations should begin.

A better place to start

For most financial advisors, AI is not the most helpful as a grand strategy. It is most helpful as a response to daily friction.

AI becomes relevant when the work is not especially hard, but higher-volume, tedious, or more draining than it should be. The email that should take five minutes but takes twenty. The concept that makes sense in your head but still sounds too technical when you say it out loud. The meeting deserves better preparation than the time allowed. The process the team “knows,” but only because the same people keep carrying it in memory. The business issue that feels real, but still too muddy to solve.

In these moments, the better question for advisors and the team is to ask: "Where in my day is there unnecessary drag and high volume, low value work that takes too much of my time?"

Once an advisor or team member starts there, AI becomes much less intimidating and much more practical. What follows are scenarios that may help trigger you or your team to think "let's send that over to our AI"....Have fun with it:

Starting with the blank page

One obvious place is writing.

Advisors write constantly, whether they think of themselves as writers or not. They write follow-up emails, meeting summaries, planning explanations, event invitations, client letters, website copy, LinkedIn posts, and delicate notes that get rewritten because tone matters.

In many cases, the challenge is not a lack of knowledge. It is the blank page. Starting takes energy.

Finding the right words takes time. AI can be useful here as a first-draft tool. It can help an advisor get moving, organize a thought, or create a rough version that can then be edited, personalized, corrected, and made fully human. The point is not to let AI speak for the advisor. The point is to avoid wasting good energy on getting started.

Why this matters A surprising amount of drag in an advisory practice comes from communication that is delayed simply because it takes too much effort to begin.

How to use it Use AI for the first pass: the email draft, the event invitation, the client-friendly summary, or the rough paragraph.

Excellent outcome Communication goes out faster, quality becomes more consistent, and the advisor keeps more energy for the part that actually requires judgment.

Use it when a concept feels too technical.

A similar kind of friction shows up whenever an advisor knows a concept well but is not yet able to explain it clearly.

Many advisors have a translation problem. They understand estate planning, retirement income, tax issues, insurance, risk, and market behavior, but clients do not reward complexity. They reward understanding and simplicity.

AI can help reframe a technical explanation in plain English, simplify a paragraph without stripping away meaning, or offer a clearer way to express something accurate but dense.

Why this matters A client does not need to leave a meeting thinking, My advisor is smart. The better outcome is that they leave thinking, I understand what we are doing and why.

How to use it Ask AI to rewrite a concept in simpler language, shorten an explanation, or turn a technical description into something conversational.

Excellent outcome The advisor walks into the meeting better prepared to explain, and the client leaves with more clarity and confidence.

Use it before an important meeting.

Strong meetings are rarely accidental. They are usually the result of preparation: reviewing notes, identifying priorities, clarifying the real issues, and thinking through which questions matter most.

AI can help sharpen that work. Rough notes can become a cleaner agenda. Past conversations can be distilled into a few themes worth revisiting. A broad discussion can be tightened into more thoughtful questions.

Why this matters Better-prepared meetings tend to lead to better conversations, and better conversations tend to lead to better advice.

How to use it Use AI to summarize notes, identify meeting themes, suggest key questions, or organize a pre-meeting plan.

Excellent outcome The advisor enters the meeting more focused and intentional, which usually improves the depth and value of the conversation.

Use it when the team keeps carrying the process in their heads

Then there is the friction inside the business itself. Many advisory firms are more dependent on memory than they realize. A process exists, but loosely. One person handles it one way; another does it differently, and things mostly work because experienced people carry invisible systems in their heads.

That works until it does not. It works until growth exposes the cracks or inconsistency begins to show up in the client experience.

AI can help here as a first-pass operating tool. It can draft a checklist, map out a workflow, outline an onboarding process, or give shape to a recurring handoff that has never been clearly written down.

Why this matters Perfection is not the goal. Visibility is. Once a process becomes visible, the team can improve it.

How to use it Ask AI to draft the first version of a workflow, a handoff checklist, an onboarding sequence, or a review process.

Excellent outcome The team gains greater consistency, fewer items are dropped, and the advisor spends less time serving as the default traffic controller.

Use it when you know what you mean but cannot quite say it

AI can also help when the problem is not a lack of insight, but a lack of expression.

Many advisors have better ideas than their content suggests. They have seen patterns, formed convictions, and developed useful observations, but the gap between knowing what they mean and turning it into a clean paragraph is often wider than it should be.

Why this matters Good ideas have little value if they never make it into a language that other people can understand.

How to use it Use AI to shape a rough paragraph, tighten wording, create headline options, or organize notes into a usable first draft.

Excellent outcome The advisor communicates more consistently without sounding artificial or losing their own voice.

Use it when you are stuck.

Perhaps the most underrated use of AI is when an advisor feels stuck.

Sometimes the real challenge is not solving the problem, but framing it. A team issue feels important, but unclear. A service model feels heavy. A message is not resonating. A business decision has real consequences, but the trade-offs are still blurry.

Why this matters Sometimes the breakthrough is not the answer itself, but the clearer framing that makes the answer easier to see.

How to use it Ask AI to help organize the issue, compare options, identify trade-offs, or sharpen the question you are really trying to answer.

Excellent outcome The advisor moves from vague frustration to clearer thinking and better decision-making.

A simple rule that keeps this grounded

AI can help with the first pass. It should not own the final pass.

It can draft, organize, simplify, and structure. But the part that must be accurate, compliant, personal, wise, and trustworthy still belongs to the advisor.

What AI should never replace

It should not replace suitability. It should not replace compliance. It should not replace confidential judgment. It should not replace empathy. And it should not replace the advisor’s voice in moments that require real care.

Clients do not hire financial advisors because they can produce polished words. They hire them because they need perspective, steadiness, interpretation, and judgment.

The smartest way to begin

Do not start with a grand rollout. Do not start by trying to sound innovative. Start with one ordinary moment in the week where friction shows up.

The next time writing feels slow, try AI. The next time a concept feels too technical, try AI. The next time a meeting deserves better preparation, try AI. The next time a process feels vague, try AI. The next time you know what you mean but cannot quite get the words there, try AI. The next time a business issue feels hard to frame, try AI.

That is the entry point. Not hype. Not panic. Not reinvention. Usefulness.

Final thought

The advisors who benefit most from AI will not necessarily be the most technical. They will be the ones who are clear about where human judgment is irreplaceable, honest about where routine drag is unnecessary, and practical enough to use a better tool when it can make the work lighter, clearer, and better and add more value to the client experience.

Related: If Not You, Who? If Not Now, When? The Moment Advisors Can’t Afford to Miss