T3 Launches AI University To Train Advisors

T3 introduced AI University as a new, full-day immersive track at the 2026 T3 Conference to accelerate AI adoption among financial advisors. Joel Bruckenstein framed the initiative around turning AI conversations into executable practices, saying "we really dedicated this year to making everything we did about AI actionable." Access is included for full-conference registrants and offered standalone for $499, with sessions led by recognized wealthtech practitioners including John O'Connell.

The curriculum emphasizes practical application over theory. Sessions demonstrate large language models and retrieval augmented generation workflows for advisor tasks, and include hands-on build sessions where attendees construct deployable tools. Key classroom elements include:

• •Real case studies from advisor and firm scenarios
• •Live, guided builds of AI-enabled workflows
• •Beginner-to-intermediate tracks

Instructors will show how to apply retrieval augmented generation and LLM techniques to evaluating prospect portfolios and creating client proposals. The program is explicitly nontechnical in prerequisites; no programming experience is required, and more advanced adopters will also find sessions useful.

The launch responds to a recurring industry gap: advisors hear about AI but lack clear, repeatable paths to implementation. T3 positions AI University as an applied bridge between vendor demonstrations and production usage. This is not a research milestone; it is a practitioner-focused intervention that addresses common friction points in wealthtech adoption.

For vendors and integrators, the program raises the bar for product usability and implementation support. Expect vendor booths and sessions to emphasize prebuilt connectors, templated prompts, and workflow engines rather than feature lists alone. For advisory firms, hands-on training shortens the feedback loop from concept to measurable changes in operations, such as proposal turnaround or client communications.

Adoption outcomes will hinge on follow-through. Monitor whether attendees deploy the workflows they build, which vendors provide post-conference support, and how firms handle governance and data segmentation when connecting models to client data. Also watch pricing and packaging: including AI University in the full-conference fee signals T3 expects broad demand, while the standalone $499 price point targets smaller teams and individual advisors.

AI University reframes AI education for wealth management from conference theater to tactical workshops. For practitioners, it is a worthwhile venue to validate vendor claims, prototype integrations with real data, and leave with concrete artifacts to accelerate deployment.