Topics

The ideas shaping the next financial industry.

Artificial intelligence is not changing financial services in isolation. It is changing how companies operate, how advisors grow, how consumers make decisions, how technology connects and how financial businesses compete.

Core Territory The Future of AI in Finance
AI + Future of Finance
AI-Native Financial Company
Advisor Growth
Modern Advisor Marketing
Advisor Sales + Conversion
Building Financial Companies
The thesis

AI will matter most when it stops being another tool and starts changing the architecture of the financial company itself.

Authority Map

Six territories.
One connected thesis.

These are not six unrelated content categories. They are six different ways of examining the same question: what happens when artificial intelligence collides with financial advice, distribution, technology and company building?

Signature Territory

The AI-native financial company.

Most financial companies are approaching artificial intelligence as another software category: buy a tool, give employees access and hope productivity improves.

I think that view is too small.

The more consequential question is what happens when AI becomes part of the operating architecture of the business itself—connecting marketing, sales, operations, compliance, data, advisor workflows and client experience.

Conceptual Operating Architecture
Connected Core Institutional Intelligence
System 01 Marketing Intelligence
System 02 Sales Intelligence
System 03 Operating Intelligence
System 04 Compliance Intelligence
Connected Thinking

The interesting problems exist between the categories.

The financial industry often separates technology, marketing, operations, sales and advice into different departments and different conversations. AI increasingly makes those boundaries artificial.

AI × Marketing

Search, content, personalization, lead qualification and consumer expectations increasingly influence one another.

Marketing × Sales

Lead generation without a disciplined conversion system simply produces more leakage.

Sales × Operations

Every manual handoff between prospecting, meetings, proposals, onboarding and service becomes an operating-design problem.

Data × AI

AI becomes more useful when company knowledge and workflow data can be connected, governed and used with appropriate human supervision.

Technology × Business Model

The largest AI opportunity may not be doing existing work slightly faster. It may be redesigning what the company can economically deliver in the first place.

Building the Knowledge Base

Ideas become more useful when they become research and models.

The goal is not to publish commentary for the sake of publishing. Research and working frameworks will be used to make the ideas easier to test, challenge, explain and apply.

Research in Development

2027 State of AI in Financial Advice

A developing research initiative focused on how artificial intelligence is being adopted across financial advice, workflows, technology, advisor behavior and consumer interaction.

Explore Research
Developing Frameworks

Turning operating ideas into usable models.

Several working frameworks are being developed around AI, advisor growth and company architecture.

AI-Native Financial Company
Advisor Growth Flywheel
Advisor Operating System
Authority Engine
Explore Frameworks
Go Deeper

Different formats for different kinds of thinking.

Use the format that matches what you are trying to understand: written ideas, video, real business problems, research or the work being built inside financial companies.

Written Thinking

Ideas

Explore
Video

Watch

Watch
Real Business Problems

Bring Me Your Biggest Problem

The Show
Operating Build

Building the AI-Native RIA

Follow
Evidence + Analysis

Research

Explore
Working Models

Frameworks

Explore

The point is not to predict the future. It is to build intelligently for where the financial industry is going.

Explore the Ideas