Wealth management is now deep into a new phase of AI-driven innovation, with two simultaneous races emerging-one focused on operational efficiency, the other on reinventing advice delivery. The firms that win the second race will create a new kind of advisor, what Hightower calls the Super Advisor, capable of orchestrating comprehensive financial guidance across multiple disciplines.
The advisor technology ecosystem has expanded sharply in recent years. The Kitces/Iskowitz AdvisorTech landscape grew from fewer than 200 firms in 2018 to more than 500 today. Many of the newest entrants are AI-native companies that aim to eliminate entire workflows and the teams that run them, rather than simply automating existing tasks. This growth mirrors the wider trend of AI for Finance, where technology is altering how financial services firms operate and compete.
The operational efficiency race
Across the industry, advisors are adopting AI to summarize client meetings, draft communications, update CRM records, speed up research, and streamline compliance. Hightower, for example, is partnering with AI firms Zocks, Dispatch, and Moment to improve front-office processes, custody operations, and portfolio management.
These tools remove friction from the advisory business, giving advisors more capacity and improving operating leverage. Clients get faster service and more responsive communication. But over time, these capabilities will become expected rather than exceptional. No firm competes today because it has email or a CRM system. AI-powered meeting notes and workflow automation will similarly become the cost of doing business. They are essential but will not define long-term competitive advantage.
Reinventing advice delivery
A more significant race is just beginning. A growing number of companies are using AI to rethink how wealth management itself is delivered. Instead of building another point solution, they are creating AI-native platforms that connect planning, investments, tax strategy, estate planning, lending, compliance, and client engagement into a more integrated advisory experience.
According to Hightower, "AI doesn't respect the traditional boundaries between planning, investments, taxes, insurance, estate strategy, or lending. Instead, it can synthesize information across those domains, helping advisors recognize opportunities, ask better questions, and coordinate more comprehensive recommendations than was previously practical."
This is what creates the Super Advisor-not an advisor who knows everything, but one who can orchestrate expertise across an increasingly complex financial environment while remaining the trusted relationship at the center of the client's financial life. Venture-backed companies are investing in platforms that cross traditional technology and organizational boundaries rather than reinforcing them.
Where advisors create value
As technical expertise becomes more accessible through AI, competitive advantage shifts away from producing analysis and toward interpreting it. Portfolio construction, financial planning, tax optimization, and risk management have already become professionalized through software. AI accelerates that trend.
The advisors who create the greatest value will understand client priorities, coach behavior, navigate uncertainty, coordinate increasingly complex financial decisions, and know when human judgment matters more than algorithmic recommendations. AI doesn't reduce the importance of advisors; it raises the standard for what great advisors can do.
Better data creates better advice
Wealth management has traditionally relied on structured financial information such as investment holdings, transaction data, and tax returns. But clients now generate a much richer digital picture through tax information, held-away assets, banking activity, spending behavior, and even personal email. AI makes it practical to organize and synthesize that information responsibly, helping advisors spot opportunities that might otherwise remain hidden.
At Hightower, work with TaxStatus shows how integrating richer client data into advisory workflows can improve the quality and personalization of advice. Longer term, AI's greatest contribution will be helping advisors develop a far more complete understanding of the people they serve, rather than just writing emails faster or summarizing meetings more efficiently.
Why this matters for management
For managers, the strategic implications of AI for Management are clear. The first race-operational AI-will become table stakes. Competitive pressure will force nearly every firm to adopt these capabilities because the economics demand it. The second race will determine the industry's future.
The firms that lead will treat AI not as another software feature, but as foundational infrastructure for delivering better advice. They will combine AI with integrated technology, high-quality data, strong governance, and thoughtful compliance frameworks. Those that rethink how advice is delivered, how expertise is coordinated, and how client relationships are strengthened through AI will create a different kind of advisory business-one with advisors capable of delivering broader expertise, deeper insights, and more proactive guidance than ever before.
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