What’s your half-life in an AI world…Tick…Tock…Boom.

In physics, a half-life measures how long it takes for something to decay. In financial planning, it can be thought of as how long your value proposition remains relevant before it starts to lose its edge.

For a long time, that timeline was measured in decades. Today, it is shrinking. Around 85% of advisers now see AI as a useful tool, up from 65% a year ago, while only a small minority still view it purely as a threat. The shift in sentiment is clear, and it is happening quickly.

The industry is not standing still. The more relevant question is whether you are adapting with it.

The iceberg problem

It is easy to assume AI will mainly affect technical roles or large technology firms. That view only captures what is immediately visible.

Research from MIT suggests a broader impact. Their “Iceberg Index” looks at the overlap between human tasks and what AI can now do. Their modelling indicates that a meaningful portion of white-collar work is exposed, far beyond the obvious cases. This includes areas that rely on analysis, communication, and judgement, not just routine tasks.

Where it is already showing up

For many advisers, the impact is already practical rather than theoretical.

Firms with weaker systems are finding it harder to compete. Inefficiencies that were once tolerated are now more visible to clients. In some cases, this is leading to lost opportunities, while others are winning business simply by offering a smoother, more responsive experience.

A narrow window

There is still time, particularly in the mid-market, where change tends to be slower than at the top and bottom ends of the spectrum. But that window is unlikely to stay open for long.

The advisers who are moving early are not replacing themselves with AI. They are using it to improve how they operate. That includes better preparation, faster turnaround times, and more consistent client communication. Increasingly, it also includes using data more effectively to anticipate client needs rather than just react to them.

Where to start

For most advisers, the shift is less about technology itself and more about how it is used. A few practical starting points:

1. Clear inputs: Being specific about what you want from AI tools, including context and constraints

2. Targeted use: Applying AI to tasks like meeting notes, research, and first drafts of client communication

3. Oversight: Using it in areas where you can review and validate the output with confidence

This is not about handing over responsibility. It is about removing friction.

The role of the licensee

Operating in isolation is becoming harder. The pace of change, combined with regulatory expectations, makes it difficult to manage everything alone.

A strong licensee should provide structure around how AI is used, invest in systems that improve efficiency, and allow advisers to focus on the parts of the role that matter most to clients.

The reality

The role of the adviser is shifting. It is less about processing and more about interpretation, judgement, and guidance.

The question is not whether change is coming. It is whether your current model is set up to handle it.