Over the past year, it has been nearly impossible to attend an industry event, open LinkedIn or sit through a vendor presentation without hearing about artificial intelligence.

AI is now part of almost every technology conversation in our business. Yet many fnancial advisors still tell me the same thing: They understand that AI matters, but they are not sure how to apply it in their daily work.

And that disconnect is where adoption tends to stall.

I have spent decades watching technology cycles play out across the advisory industry. We saw it with CRM systems, portfolio management software, integrations, robo platforms and even (yes) moving to paperless systems. Each wave begins with excitement and big promises, followed by confusion and feeling overwhelmed as advisors try to determine what is truly useful and what is simply noise.

Eventually, the focus shifts from possibility to practicality. Advisors start asking an essential question: How does this fit into my workflow and help me serve clients better?

I see AI following a path similar to every major technology wave: Interest comes first, but real adoption happens only when advisors can see how a tool fits into their day-to-day work.

Most advisors are not asking for more tools or more theory. They are looking for practical education and real-world use cases that make the technology easier to understand and apply.

This perspective shaped how we approached this year's T3 Conference. Advisors need structured, hands-on guidance that could help them move from experimentation to implementation.

And thus, AI University was born.

Beyond Theory and Hype

Rather than creating another series of high-level panels about the future of AI, we built a full day dedicated to learning by observing, thinking and doing. For AI University — which is being held March 9 in New Orleans — the focus is practical application.

The sessions are designed as tutorials and walkthroughs, with clear examples and demonstrations building on ways that many advisors are already using AI. We want attendees to see not only what is possible, but to understand how to implement it. Whether someone is just getting started or already testing tools, the goal is the same: Leave with something useful and actionable.

From Curiosity to Confidence

Education should reduce uncertainty and give advisors and their teams the confidence to move forward. The success of AI University will be measured by those leaving each session with clarity and a plan.

As AI literacy is quickly becoming part of the advisor skill set, each AI University "professor" has been hand-selected to teach a one-hour segment. Clients expect faster service, more personalization and greater efficiency. Technology can help deliver that, but only when advisors understand how to use it thoughtfully and responsibly.

The objective for AI University is to help advisors work smarter and, ultimately, deliver better outcomes for their clients. Progress depends on practical knowledge, not just awareness. Experimentation is important, but without guidance it can also lead to frustration, wasted time — or worse.

For more than 20 years, T3 has focused on helping advisors evaluate technology in a clear, realistic way. AI University is simply the next step in that mission. If it helps advisors move from curiosity to confidence, then it will have served its purpose.

Editor's note: T3's 2026 technology conference is March 9-12 in New Orleans. AI University is scheduled for March 9 and is available as a day pass. ThinkAdvisor, as an official media partner, has negotiated a special offer for ThinkAdvisor readers. Learn more here: https://t3conferences.com/unlock-your-2026-advisor-tech-advantage/

Joel Bruckenstein, president of Technology Tools for Today, has spent more than two decades helping advisory firms optimize their technology, streamline workflows and drive growth.

Credit: Jason Nuttle Photography

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