Drowning in Tools: How the Automotive Industry Is Missing an Understanding of the Basics

An essay by Jamie Dixon, Founder of VAYRO, on why automotive retail's AI problem is not a tools problem, why agent to agent commerce changes what the basics even means, and why the relationship still matters more than the product.

I have spent a lifetime working in and around one of the most exciting industries in the world: automotive. Years ago, I was known for something specific, representing what the internet was about to do to this industry. Web services, web management, web tools. Along with an outstanding team, we helped change the landscape. I have watched this industry absorb one technology wave before. I am watching it absorb another now, and I am seeing the same mistake repeat itself.

More recently, before VAYRO, I sold AI tools and agents into car retailers. I saw the gap up close. Dealerships bought the tool. Few understood what the tool was actually built on, what it could and could not do, or how it would need to sit inside the way the business already worked. The tool arrived. The understanding did not.

The data backs this up. Recent surveys of UK dealers put interest in AI above half, yet actual use sits closer to one in five. The most common reason cited for not adopting is simple: dealers do not know where to start. Most report they do not understand what AI could actually offer their business. That is not a tools gap. Every tool vendor in this space will happily sell you the tool. That is a basics gap, and no tool fixes it.

Here is what most retailers are not yet planning for. The next shift is not dealers adopting agents. It is consumers arriving with their own. I see a world where consumers are represented by agents that negotiate directly with agents inside the retailer, on price, on finance, on availability, before a human on either side says a word. That world needs infrastructure and cultural design that most forecourts do not have today. A chatbot bolted onto a CRM will not survive contact with that world. Buying the tool first and figuring out the rest later, which is how most of this industry has approached AI so far, will not survive it either.

This is why understanding the basics matters more than buying the next tool. Understanding the basics is not complicated. It comes down to three things.

What the model can actually do today, not what a sales deck says it can do.

Where your data lives, and whether it is fit for an agent to use safely.

How work actually gets done in your business now, so any agent you add fits the job, not the other way round.

Get those three right, and the tool decision becomes simple. Skip them, and no tool will save you.

This is why VAYRO exists. We do not start by selling you a tool. We start by making sure you understand what is actually happening, what is real today, what is still marketing, and what it means for how your organisation is built. Then, and only then, does it make sense to talk about which agents, if any, belong in your business.

One more thing worth saying plainly. The magic was never in the product. It never has been, in any technology wave I have worked through in this industry, and it will not be here either. The magic is in the relationship, with your customer, with your team, with the people who will actually use whatever you build. Get that right first. The tools will follow.

VAYRO sits inside the sectors it works with, automotive included.

Common questions

What does an AI strategy for a car dealership actually look like?

It starts with understanding what the underlying models can and cannot do today, not with picking a tool. A real AI strategy covers your data, your existing workflows, and the two or three moments in the customer journey where an agent genuinely helps, before any product decision gets made.

How do I know if my dealership is ready for AI?

Readiness has three parts: knowing what current AI actually does, knowing whether your data is fit for an agent to use safely, and knowing how work gets done in your business today so any agent fits the job rather than the other way round. Most dealerships have not answered any of the three yet.

Should my dealership invest in AI?

Most UK dealers say yes in principle. Interest sits above half, but actual use is closer to one in five, because the investment usually gets made in a tool before the basics are understood. Invest in understanding first. The tool decision becomes far easier and far cheaper once you have.

What are the biggest AI adoption barriers for car dealers?

Not knowing where to start is the most common answer UK dealers give, followed closely by not understanding what AI could actually offer the business. Both are knowledge gaps, not technology gaps, which is why buying another tool rarely closes them.