AI and the future of your store

AI and the Future of Your Store

Part 2: AI Is About to Change Your Entire Technology Stack

Recently, AI agents being tested in cybersecurity environments did something their developers did not intend: they reached the open internet.

In one disclosed evaluation, AI agents gained unauthorized access to the real production infrastructure of three independent organizations. They didn’t use some sophisticated, Hollywood-style hacking technique. They found weaknesses most businesses would recognize immediately: weak passwords, unauthenticated endpoints and exposed credentials. One agent ultimately accessed a database containing real production data.

Think about that for a moment.

The AI didn’t invent the vulnerability.

It found it.

Now imagine that happening inside a dealership.

Most dealerships do not have the cybersecurity resources of the world's largest technology companies. Yet many operate with dozens of interconnected platforms, multiple vendors accessing customer and operational data, old or shared passwords, APIs connecting systems, and varying levels of oversight across IT, cybersecurity, compliance and data governance.

Now we are introducing AI into that environment.

AI is fundamentally different from most technology we've added to dealerships over the past 25 years. Traditional software generally waits for someone to use it. Increasingly, AI can read information, interpret it, make decisions, communicate and, in some applications, take action.

A poorly integrated piece of software might create inconvenience or expense. An AI agent with sufficient access can potentially interact with multiple systems and act at machine speed.

AI doesn’t need to become some evil super-intelligence to create a catastrophic problem. It simply needs access to a weakness your organization never fixed.

And that leads to one of the most important principles dealers need to understand:

AI doesn't simply add another technology to your technology stack. It changes the risk and value of everything already inside it.

Your Technology Stack Wasn't Designed for This

Think about what dealerships have accumulated over the years.

DMS. CRM. Websites. Desking. Digital retailing. Equity mining. Inventory management. Service scheduling. Call tracking. Marketing platforms. Reputation management. Accounting. Payments. F&I. Data warehouses. Customer communication tools.

Now imagine adding multiple AI-enabled technologies across that environment.

One accesses the CRM. Another communicates with customers. Another accesses inventory and pricing. Another analyzes DMS data. Another interacts with financial information.

Each may be perfectly legitimate independently.

But who inside the dealership understands the combined permission architecture?

If I asked your GM today to show me every AI platform that can access customer data, exactly what it can access, what it can do with that information and where that information goes, could they?

That is not an IT question anymore.

It is a leadership question.

Stop Thinking About AI as Green-Light or Red-Light

I don't believe dealers should approach AI as either safe or dangerous. The better approach is to understand the level of authority we give it.

The lowest-risk applications generally inform and assist. They summarize documents, organize information, identify anomalies, automate routine workflows, surface operational insights and help employees make better decisions.

The next level involves AI that communicates or recommends. Customer conversations, lead responses, service recommendations and marketing personalization can create enormous value, but require stronger monitoring, escalation rules and auditability.

The highest-risk category is AI that can independently alter economics, obligations or consequential customer outcomes.

That includes personalized pricing, autonomous negotiation, customer-specific offers, financing-related decisions and other situations where technology may determine what one individual is offered versus another.

The Most Dangerous AI May Be the AI That Can Change the Deal

The FTC has recently increased its focus on personalized pricing based on consumer information. It has not said personalized pricing is inherently illegal. But when consumers reasonably believe a price is generally available and technology quietly changes what an individual sees based on information collected about that person, the regulatory questions become very different.

A bot answering, "What time do you close?" is one thing.

A bot independently deciding what price you should pay for a vehicle is something else entirely.

Before allowing AI near pricing, payments, financing or negotiation, leadership should understand which data influences the outcome, whether the AI recommends or independently acts, whether every output can be audited, and whether the dealership can immediately disable the functionality.

If neither you nor your technology provider can explain why the AI reached a particular decision, "because the AI said so" will not be an acceptable answer to a customer, attorney or regulator.

Most Dealerships Will Bolt On AI. Very Few Will Architect It.

This may become one of the biggest mistakes our industry makes over the next several years.

Every department discovers an AI solution. Every vendor introduces AI features. Every manager wants another capability.

Pretty soon, the dealership doesn't have an AI strategy.

It has AI everywhere.

Governance cannot occur only when technology is purchased. AI systems change. Vendors change. Models change. Your data and workflows change. Capabilities that didn't exist when you signed an agreement may appear six months later.

Dealers therefore need an ongoing governance process that periodically reviews access, permissions, customer-facing actions, data usage, cybersecurity, regulatory exposure and whether the technology remains within the boundaries leadership approved.

The objective should never be to have the most AI.

It should be to have the most intelligent, transparent and accountable architecture.

Your Customers Have AI Too

There is another side of this transformation that may ultimately be just as consequential.

While dealerships are deciding how to use AI internally, consumers are adopting it at extraordinary speed.

People are already using AI to research vehicles, compare ownership costs, understand financing, evaluate dealerships, investigate service issues and decide what they should buy.

That means dealerships are no longer marketing exclusively to people.

Increasingly, they are also marketing to the AI systems advising those people.

For decades, the customer journey looked something like this:

Dealer → Advertisement → Consumer → Website → Lead

An emerging customer journey looks very different:

Consumer → AI → Research → Comparison → Recommendation → Dealer

That AI layer could become one of the most important intermediaries between dealerships and consumers.

When someone asks which SUV is best for their family, what they should pay, which nearby dealership has the best reputation, or where they should have their vehicle serviced, will AI know you exist?

More importantly, will it have a reason to recommend you?

Historically, dealerships have spent enormous amounts advertising while publishing relatively little authoritative information themselves.

That balance needs to change.

Dealers should increasingly think about their machine-readable reputation: the body of credible, consistent and understandable information from which AI systems can determine who you are, what you know, what customers think about you and whether you deserve to be recommended.

Your inventory matters. Your reputation matters. Your expertise matters. Your service capabilities matter. Your pricing and policies matter. Your people matter. Your community presence matters. Your first-party content matters.

The dealership with the largest advertising budget may not necessarily be the dealership AI recommends.

And unlike traditional paid search, you may not always be able to simply buy your way to the top.

AI Is a Multiplier

After everything I've studied about AI, this may be the principle dealership leaders need to understand most.

AI scales whatever you give it.

Give AI great data and it can produce extraordinary insight. Give it bad data and it can scale bad decisions.

Give it disciplined processes and it can create remarkable consistency. Give it broken processes and it can execute those broken processes faster.

Give it transparent rules and strong governance and it can make exceptional people exponentially more capable. Give it excessive permissions, questionable logic and weak controls and it can magnify those weaknesses before leadership realizes what happened.

That is why I don't believe the most important question facing dealers is whether they should adopt AI.

That decision is effectively being made for us by the market.

The more important question is:

What kind of dealership are you going to give AI the power to amplify?

Give AI fragmented technology, weak controls, bad data and questionable processes, and it will make those weaknesses faster, larger and harder to contain.

Give it disciplined processes, clean data, transparent rules, strong governance and exceptional people, and AI may become the greatest force multiplier this industry has seen in decades.

Most dealerships will add AI.

The dealerships that dominate the next decade will architect for it.

Short answer: [one or two sentences that answer the headline outright, before any set-up].

Key takeaways

1. [First takeaway, stated as a finding, not a topic]
2. [Second takeaway]
3. [Third takeaway]
4. [Fourth takeaway]
5. [Fifth takeaway]

By the numbers

The standard to hold

[What has to be true before anything else works. Name the specific platforms, OEM programs, industry bodies or published research where they are not confidential.]

How the best operators run it

[The steps in order. Who owns each one, and how often it happens.]

Comparing the two common approaches

How to choose

This fits you if: [ ]

This does not fit you if: [ ]

Five questions to ask before you commit

1. [ ]
2. [ ]
3. [ ]
4. [ ]
5. [ ]

Red flags: [ ]

The mistakes that cost the most

[Two or three specific, expensive mistakes and what they cost.]

Your next three moves

1. [Action, with an owner and a date]
2. [Action]
3. [Action]

About this guidance

Written by David Spisak from nearly 50 years in retail automotive. Last reviewed [month year].

Built on DGS Labs methodology · © 2026 DGS Labs. All rights reserved.