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Mariner is turning an investment in human potential into a new model for growth. Mariner Academy, opening for enrollment in 2027, will help current and future advisors develop the expertise, judgment, and relationship skills the firm’s future requires. Our partnership connects that investment to a change in how the work gets done. Associates are moving from client service toward advisory careers. Their former roles won’t be backfilled; Humanity Labs’ AI Workforce will take on the manual operational work. People get a path to the careers they want. Mariner gains a way to develop more advisory talent from within and bring that expertise to more clients, supported by a different operating model.

“I’m pathologically addicted to starting and building and growing companies.” In our August AMA, Andrei Pop reflects on what he’s learned about himself over the past two decades and the colleagues who humble him every day with their motivation and drive. Between building Humanity Labs AI Workforce and spending time with his kids, he wishes he had more hours to read about everything being figured out.

Bill Gates should know this better than anyone: once a technology becomes ubiquitous, access alone stops being the advantage. Andrei Pop compares AI to electricity. The real edge is what your company figures out how to do with it that others don’t.

The Trust Times is back with a question every firm should ask after something goes wrong: what actually lost credibility? Issue 12 examines three peer-reviewed studies on how people respond when trust is tested. Before trying to repair the whole relationship, figure out what broke.

Most enterprise AI programs do not stall because the model is weak. They stall after the demo, when nobody has defined the body of work, the success standard, or the exception path. Buying an AI agent creates capability. Turning that capability into dependable capacity requires an operating model.

Bill Gates helped change how computing worked. So it’s a little surprising to hear him talk about AI as if jobs are still the center of work. Jobs made sense when capacity came packaged inside people. AI is starting to separate the two. Our latest AI Workforce newsletter explains why.