In most organizations, AI has already split people into two camps. On one side are the intellectual astronauts—the builders, tinkerers and power users who treat every new tool as an upgrade to the human brain. They live in a world where copilots draft presentations, summarize meetings, write code and create campaigns in minutes. For them, AI is pure upside: more speed, more creativity, more leverage.
On the other side is the steady core of the firm: capable professionals who like their work, know their routines and did not sign up for another revolution. They’re already at redline managing aging parents, tuition bills, health issues and market noise.
For them, AI sounds like one more wave of disruption they didn’t ask for and may not survive. Years ago, as we began the transformation of Fidelity Investments, the boss pulled me aside and warned, “Don’t spook the herd.” The phrase was blunt, but the lesson was right: Move fast, but don’t lose the people who make the place work.
Both groups are right.
The astronauts are correct about the potential. AI will reshape how financial services are designed, delivered and experienced. The core is correct about the risk. Every major technology wave creates winners and losers, and the early messaging around AI has leaned heavily on replacement rather than augmentation.
If you are in the C-suite, your job is not to choose between these two Americas of AI. Your job is to connect them.
AI as the next chapter of enterprise value
Every CEO in financial services is now in the same conversation: How do we grow enterprise value when demographics, fees and talent are all working against us?
You know the list by heart:
- Aging clients withdrawing more than they contribute.
- A Great Wealth Transition that will vaporize assets for firms that don’t have relationships with heirs.
- A looming shortage of advisors just as demand for advice is rising.
- Clients—especially younger ones—who expect digital, on-demand, always-on experiences.
AI doesn’t change any of those realities. It just accelerates them.
The firms that win the next decade will not be those that shout the loudest about AI. They will be the firms that quietly and systematically use AI to:
- Reach and retain more households with the same or fewer people.
- Deliver more consistent, compliant, personalized experiences.
- Reduce the friction that makes advice feel mysterious, adversarial, or slow.
- Equip advisors with better insight at the precise moments clients need help.
In other words, AI is the next chapter of the same enterprise value story: better client outcomes, higher engagement, more scalable profitability.
What AI should actually do in your firm
If you’re unsure how far to lean in, start with a simple test: Can you explain, in one sentence, what AI is supposed to do for your clients and your people?
Here’s a working definition for leadership:
AI should make advice more accessible, more understandable, and more consistent—without diluting human judgment or trust.
From there, think in terms of a few concrete use-cases:
- Client understanding and communication. AI can translate complex concepts into plain language, tailored to a client’s age, literacy, and emotional state. It can summarize meetings, generate follow-ups, and keep everyone aligned on “who said what” without armies of staff.
- Proactive moments, not reactive emergencies AI can scan your book of business for patterns that signal a “moment that matters”: health changes, caregiving stress, liquidity events, or behavior that suggests confusion or fraud. Instead of waiting for clients to call in a panic, advisors can show up early with a plan.
- Mining the forgotten 80. Most firms are still built around the top 10–20% of clients. AI can support lighter-touch, digital-first engagement for the rest of the base—educational journeys, nudges, check-ins—so those relationships don’t drift away until a competitor “discovers” them.
- Advisor leverage and protection. AI can prepare meeting briefs, surface cross-sell opportunities and flag risk, so advisors spend more time with clients and less time drowning in prep and paperwork. It can also provide a documented trail of what was presented and why.
These are not science-fiction scenarios. They’re all possible today. The question is how you introduce them without triggering a quiet mutiny.
Don’t spook the herd
If you lead a firm, you cannot afford to let the astronauts set the tone of your AI story. Unchecked, they will happily announce that “everything changes” and “nothing will ever be the same,” which is exactly what the core hears as: “You are obsolete.”
Here are a few principles to keep your message—and your culture—balanced.
- Lead with outcomes, not algorithms. Clients don’t care about models; employees don’t care about model names. Start every AI conversation with the specific pain you are solving: “Fewer forms.” “Faster answers.” “Less rework.” “More proactive outreach.” When you talk about AI, translate it into time saved or friction removed.
- Make augmentation explicit. Don’t assume people will infer that AI is there to help them. Say it: “We are using AI to remove low-value, repetitive tasks so you can do more of the high-value work only you can do.” Then back it up with the first projects you prioritize. Actions speak louder than words—and everyone is watching.
- Show the controls, not just the dashboard. Fear of AI is often fear of invisible systems. Make your risk and control framework visible: how you test models, monitor output, manage data, protect clients. If people can see the brakes, they are more willing to get in the car.
- Invite participation in design. The fastest way to move someone from the core to the astronaut camp is to give them a say. Create cross-functional “AI pilots” with frontline staff, not just technologists. Ask them to define success, identify failure modes and shape how tools are rolled out. A partner in a national RIA has tasked younger team members with a revolving monthly assignment to educate the firm about uses and applications of AI that are in flight.
- Respect the adoption curve. Every firm has early adopters, fast followers and late adopters. That’s not a bug; that’s how change works. Don’t let the astronauts shame the core. Instead, sequence your rollout so that early wins with willing teams create social proof—and safety—for everyone else. Adoption is the true manifestation of innovation.
The goal is not to convince every employee to become an AI enthusiast. The goal is to make AI so obviously useful in their daily work that enthusiasm becomes optional.
A C-suite playbook for the two Americas of AI
As a CEO or senior leader, you don’t need to be your company’s chief technologist. You do need to be its chief translator. Here’s a practical sequence you can own:
- Declare a simple AI purpose. One sentence that ties AI to your firm’s mission and enterprise value. If you can’t say it simply, you’re not ready to scale it. What is the enduring benefit for both clients and company associates?
- Map AI to your value drivers. Identify where AI can move the levers you already care about: organic growth, client retention, productivity, margin, valuation. Tie every AI initiative to a value driver, not a demo. This is the heart of “AI native”–specific linkage to important KPIs.
- Choose one or two flagship use-cases. Start where the benefit is obvious and shared: speeding service, improving client communication, supporting risk and compliance. Let those wins set the tone. Think small for control and focus, achieve proof of concept and then scale quickly with confidence of objective. Don’t underestimate the power of small wins that scale.
- Stand up a small, empowered AI council. Mix astronauts, core members, risk officers and client-facing leaders. Their job is to vet ideas, prioritize pilots, measure outcomes and keep a running list of “things we will not do.” Seek diversification of role—this is an incubator and a safe forum for all perspectives.
- Communicate like a human, not a press release. Tell the Two Americas story openly. Acknowledge excitement and fear in the same sentence. Explain what you know, what you don’t know, and what will never change: your obligations to clients, your fiduciary duty, your commitment to your people. This should be a storyline already in place across your org—now updated for new potential.
In a decade, we won’t be talking about “AI firms” any more than we talk about “electricity firms.” We’ll just notice which organizations figured out how to let their best people do more of their best work—and which ones “spooked the herd” and stalled out.
Your innovators are right: The potential is unprecedented. Your skeptics are right: The stakes are high. Your job is to make sure both Americas of AI arrive at the same destination—with your enterprise value intact and your clients better served than ever.