My competitors aren’t doing much about artificial intelligence (AI). We’re already ahead of them. Why should I hurry?”
A family business owner said this when I raised the urgency of transforming his company around AI. Think of a US logistics business, well positioned in its market, but operating on very tight margins.
My team and I help businesses make this transition to becoming fully “AI-native.” What does this mean? Becoming AI-native means building AI into the everyday running of your business—how work gets done, how information is shared and how decisions are made.
I explained where AI could improve his operations and offered to help. He shrugged off the urgency. He believed his competitors were moving slowly, if at all.
His conclusion was that he had time. This is wrong. I encounter this problem repeatedly in family businesses: There is no structured approach to AI because the owner has not made it a priority.
Your greatest strength = often your greatest weakness
An owner-led business has an enormous advantage. Decisions can be made quickly. But the reverse is equally powerful. If the owner overlooks a threat, the business remains exposed. If the owner sees no urgency, everyone else learns that there is no urgency.
The owner’s blind spots become the company’s blind spots. This is especially dangerous with AI. You can have talented people experimenting in individual departments while the company as a whole continues operating much as it did before. Employees write emails and produce presentations faster. Yet the underlying business has barely changed.
The owner does not need to become an AI engineer. But the owner must understand enough to recognize what is at stake, develop a vision for the business and bring in people who can deliver it. You can delegate the technical work. You cannot delegate the responsibility for giving the business direction.
‘My competitors are slow’ is no reassurance
There are three problems with the logistics owner’s argument. First, if your competitors really are moving slowly, you have an opportunity to get ahead. Why treat their inaction as permission to waste your advantage? In a business with thin margins, even a modest improvement in operating costs can make a meaningful difference to profitability.
Second, how much do you really know about what your competitors are doing? You do not sit in their internal meetings. You cannot see every project they are testing. A competitor has little reason to announce an advantage before it is ready.
By the time its lower prices, faster responses or better service become visible, you may be seeing the outcome of months of work. Starting then means beginning from behind.
Third, your next serious competitor may be a company you do not currently regard as a competitor. A new entrant can build around AI from the start, without having to defend the systems and habits your business has accumulated over decades.
The pace will differ across industries. But assuming that tomorrow’s competition will look like yesterday’s is a poor basis for protecting a family enterprise.
What does ‘AI-native’ actually mean?
It means designing the business so that AI is part of how work gets done, information moves and decisions are supported. Buying subscriptions for employees is only a beginning.
Think about how information travels through a traditional company. A customer raises an issue. Someone writes a report. A manager summarizes it. Another manager presents it. Eventually, the person with authority hears a filtered version and makes a decision.
An AI-native approach asks how much of that delay can be removed. Can relevant information reach the right people sooner? Can routine work happen automatically? Can a team act within clear limits without waiting for every decision to climb the management ladder?
Leaders and human judgment remain essential. But layers that exist mainly to collect, summarize and pass on information deserve a hard look.
This also requires making company knowledge usable by AI. Knowledge trapped in filing cabinets, scattered inboxes or the founder’s head cannot support the whole enterprise. Records need to be accurate, organized and accessible to the appropriate people and systems.
Where appropriate, record and transcribe meetings with participants’ permission and suitable confidentiality controls. Capture decisions, responsibilities and deadlines so they can be found and acted on. Stop valuable knowledge disappearing when a meeting ends.
For a logistics company, opportunities might include checking invoices, flagging suspicious transactions, reducing repetitive back-office work and responding faster to customers. Better information can also support decisions about vehicles, warehouses and other capital spending.
These are opportunities to test, rather than savings to assume. AI requires investment, reliable information and people who understand the business. Its value must show up in performance.
Give urgency a structure
Announcing “we need more AI” will achieve little. Neither will appointing a younger family member simply because he or she uses the latest tools. Knowing the tools does not qualify someone to lead the transformation.
Start by asking where your business loses the most time, money or customers. Where do people repeatedly enter the same information? Which decisions are delayed because nobody has a clear picture?
Choose an important, manageable process. Put a capable person in charge, give that person access to the relevant expertise and agree what success looks like. Measure the starting point: time taken, cost, errors or customer response. Then compare results after the change, including the cost of implementation.
Train the people doing the work. Explain how their roles will change and involve them in improving the process. Their practical knowledge can help prevent an impressive demonstration from becoming an expensive disappointment.
Set clear boundaries as well. Decide which information can be shared, who can access it and which actions require human approval. AI can produce confident mistakes. Faster work is valuable only when the business can trust the result.
Keep the wider vision in view. Use the first project to learn how to improve the next and connect it to the wider business. A collection of isolated experiments is no substitute for a company moving in a clear direction.
Family businesses can move remarkably fast once the owner commits. Use that strength while you still have room to choose the pace.
The three to thrive
1. Lead the urgency. Make AI transformation an owner-level priority. Learn enough to set the direction, then secure the expertise to execute it.
2. Set your own pace. Assess your opportunities and vulnerabilities. A competitor’s apparent inaction is no reason to postpone your own progress.
3. Give ambition a structure. Start with a measurable business problem, appoint an accountable leader, train your people and build toward a connected, AI-native enterprise.
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