The conversation around artificial intelligence has taken a sharp, somewhat unsettling turn lately. If you have been following the business news this week, you might have noticed a recurring theme: companies are racing to integrate AI, but they are struggling to find the cash to do it. There is a growing trend of organizations looking toward their own payroll to bridge the gap, with some reports suggesting that over half of companies are considering cutting compensation or freezing wages just to stay competitive in the tech race.
This feels like a failure of imagination. We are essentially asking employees to pay for the tools that might eventually change their jobs. But what if the money for that next big AI investment isn’t hidden in your employees’ paychecks? What if it is sitting, completely untouched and largely ignored, in your corporate health plan?
The Fixed Cost Fallacy
For a long time, business leaders have treated healthcare as a fixed cost. You sign the renewal, you accept the inevitable five or ten percent increase, and you move on to more “exciting” parts of the budget. It is seen as a necessary burden of doing business. Jude Odu, Founder of Health Cost IQ and author of the book Model Optimal Care, has spent the last 25 years looking at the data from the inside, and he sees a very different picture.
According to Odu, the current system is built on a structural mountain of waste. When looking at the trillions spent on healthcare annually, a massive chunk of that, somewhere around $1.6 trillion is pure inefficiency. In many private employer plans, nearly half of every dollar is spent on duplicate claims, unbundled charges, or simple billing errors.
When we talk about cutting wages to fund AI, we are ignoring a massive pool of recovered capital. If a company can find and reclaim the waste already present in their health plan, they don’t have to put employee pay on the table. They can fund their future by fixing their present.
Moving Beyond the Provider-Centric Model
The problem is that most of the “solutions” offered to employers are not built for them. We have heard a lot about Value Based Care, which was a great idea in theory. It tried to tie payments to how well a patient did, rather than just how many tests were run. But as Odu points out in his framework, Model Optimal Care, those models were designed by and for hospitals and providers.
Employers fund the vast majority of healthcare in this country, where most workers are covered by self-funded plans, but the employer actually has to handle the bill. Yet, many of these companies act as passive managers. They trust that their vendors are getting the best prices and that every claim is accurate.
History and recent lawsuits suggest that is a risky bet. We are seeing major corporations failing their fiduciary duty to manage these assets properly. The shift we need isn’t smaller paychecks, but a model where the health plan is a managed asset, not a black box of expenses.
Finding the Invisible Savings
So, where is this money hiding? It starts with the principles of transparency and accountability. Most people think of “ancillary benefits” (things like dental, vision, and mental health) as nice-to-have perks. In reality, they are early warning systems. A routine eye exam can catch signs of chronic conditions like diabetes or heart disease months before they turn into a high-cost hospital visit.
By the time someone hits the emergency room, the cost has already spiraled. Integrating real-time data from tools like wearable devices can give employers a clinical intervention opportunity that was previously invisible. If you catch a health spike early, you avoid a catastrophic claim later.
This is where technology actually becomes a hero rather than a cost-center. Instead of using AI as a reason to cut staff, Odu uses AI as a recovery tool. It can audit every single claim in real time, find the errors that human auditors often miss, and help patients find the care they need sooner. It can also spot when a pharmacy is overcharging for a drug.
A More Human Way to Innovate
The choice between investing in technology and investing in people is a false one. If you cut pay to buy AI, you might get the tools, but you will lose the morale and the talent needed to use them effectively.
A far more sustainable approach is to look at inefficiencies that are currently draining the resources. The capital needed to fund innovation and protect compensation is already there, but it is hidden in a broken health plan. By shifting to a results-driven, technology-enabled framework, businesses can stop being passive observers of their own spending.
Odu’s work suggests that the savings patients are looking for are uncovered by expanding pricing oversight. We don’t need to put employee pay on the table. We just need to stop letting half of our healthcare dollars vanish into thin air. If we can solve the waste problem, the AI race becomes a lot easier to win, and we can bring our employees along for the ride.
Last updated: June 2, 2026
