The Parallel Path
A two-part series on AI, ownership, and the choices business owners can make now
Part One: Who Keeps the Value When AI Changes the Work?
A business owner doesn't need to settle every argument about artificial intelligence before making a decision about it. The more immediate concern is what happens when a customer begins to expect work sooner, a competitor can deliver it at a lower cost, or a platform changes the terms on which the business reaches its audience. Those pressures arrive as ordinary operating problems. By the time they become part of a broader industry discussion, someone still has to decide what to do on Monday morning.
Much of the public conversation makes that decision harder than it needs to be. One side treats AI as an answer to nearly everything; another treats its shortcomings as evidence that little of lasting value is happening. Both positions leave too little room for the work itself. A system can be unreliable at one task and useful at another. It can help an experienced professional serve more clients while also putting pressure on the price of services that customers regard as interchangeable.
My concern is where the value goes as those relationships change. If a business produces more with the same people, the benefit could support better service, higher wages, lower prices, or a healthier margin. It could also flow mainly to the company supplying the technology or controlling access to customers. Adopting AI doesn't settle that question. The answer depends on the arrangements around it: who owns the customer relationship, who can use the data, and who has a workable alternative when terms change.
The economics deserve a closer look
Consider a routine piece of commercial work, such as a product description or an initial design concept. If software can produce an acceptable starting point quickly, a buyer has a reason to reconsider how much time and money that stage should require. The final result may still need substantial judgment, revision, and approval. But the supplier can no longer assume that the old production process, by itself, justifies the old price.
That distinction matters because the cost of generating something is only part of the cost of using it. Someone has to determine whether the information is accurate, whether the material is appropriate, and whether the result actually serves the customer. Reviewing a flawed draft can take longer than preparing a sound one. A business that measures only how quickly an AI system produces output may overlook the work it has moved onto everyone else.
There is also a difference between automating a task and eliminating an occupation. The International Labour Organization and NASK's 2025 assessment found that one in four jobs worldwide was potentially exposed to generative AI, while emphasizing that exposure was not a prediction of job losses. Their analysis pointed more strongly toward changes within jobs than complete replacement. That leaves plenty of room for disruption, but it doesn't support treating every exposed worker as already obsolete.
For an independent professional, a change in the mix of work can still have serious consequences. If clients stop paying much for a first draft, the professional may need to earn more of the fee through research, interpretation, or responsibility for the finished result. Making that transition takes time, and some clients may simply spend less. It is reasonable to acknowledge that difficulty without assuming the outcome is identical across every occupation.
Ownership affects the terms
The concern becomes sharper when the same company supplies the tools and controls access to the market. A creator may depend on a platform for discovery, payment, and communication with an audience. If that platform can offer competing material or change how work is ranked, the creator's position depends on decisions made elsewhere. Even an excellent product can become harder to sell when its route to the customer belongs to someone else.
Similar dependencies exist deeper in the AI industry. In its January 2025 report on partnerships between major cloud providers and AI developers, Federal Trade Commission staff identified potential restrictions on access to key resources and higher contractual or technical switching costs. The report concerned particular partnerships, not every business using an AI service. Still, it gives substance to a practical concern: dependence can become expensive long before a supplier raises the subscription price.
We don't have to assume that everyone involved shares a hidden agenda to examine those incentives. Companies pursue revenue, protect investments, and try to strengthen their position. Their decisions about pricing, access, and distribution deserve scrutiny on their actual terms. Claims about safety or quality should be evaluated on their merits, including whether the measures work and who bears the cost.
Nor does independence require building every tool yourself. Most businesses will continue to rely on outside technology, just as they rely on other suppliers. The useful question is whether the business understands that dependence well enough to manage it. Being able to retrieve your records, maintain direct customer relationships, and move a critical process gives you options that a cheaper subscription alone cannot provide.
A place for human judgment has to be earned
It is tempting to reassure people that human creativity and relationships will always protect their work. They matter, but reassurance doesn't explain why a particular customer will continue to pay. A professional has a stronger position when the value is concrete: understanding an unusual operating problem, recognizing when information is incomplete, or accepting responsibility for a recommendation that will affect the business.
That kind of knowledge can become more useful when routine preparation takes less time. An adviser who spends fewer hours assembling records may have more time to examine what those records reveal. A small firm may be able to respond more consistently without asking its staff to work longer. Whether those benefits materialize depends on how the work is organized and what happens to the time recovered.
Business owners cannot control the entire market, and individual initiative won't resolve every consequence of technological change. They can, however, become more deliberate about the capabilities and relationships they retain. The practical work begins with understanding where the business creates value today, which parts of that work are becoming easier to reproduce, and what it would take to improve the service without surrendering control of it.