The Most Expensive Assumption in Business

Most business problems are not caused by a lack of intelligence.

The longer I spend building companies, the more convinced I become that assumptions are among the most expensive liabilities an organization can carry. Not because assumptions are inherently bad, but because they often become invisible.

At some point, a decision gets made. A process is established. A workflow is adopted. A belief becomes accepted as truth. Over time, the original reasoning disappears and the assumption remains.

Eventually, nobody questions it.

That's when it becomes dangerous.

Many of the most meaningful opportunities I've encountered throughout my career started with a simple observation: everyone was working incredibly hard to optimize a system built on an assumption that was no longer true.

Years ago, while working in automotive retail, one assumption was that customer retention was largely a marketing problem. The industry invested heavily in campaigns, promotions, and outreach. Yet when we looked more closely, the challenge wasn't simply attracting attention. It was understanding behavior. The assumption had shaped the solution long before the actual problem was fully understood.

Later, while building vehicle inspection technology, I encountered a different version of the same pattern. The industry was focused on improving reporting, workflows, and downstream decision-making. Yet the entire system depended on a much earlier assumption: that the visual evidence entering the process was consistent and reliable.

It wasn't.

Two people could inspect the same vehicle and produce entirely different observations. Different observations produced different conclusions. Different conclusions produced different decisions.

The assumption wasn't creating a small error. It was affecting the entire system.

The same pattern appears repeatedly across industries.

Companies invest millions optimizing processes that were designed around outdated assumptions. Teams spend years improving workflows without questioning the premise behind them. Organizations become experts at solving the wrong problem because nobody revisits the original belief.

Artificial intelligence is making this challenge even more important.

Today, many organizations are rushing to implement AI solutions. Most conversations focus on models, automation, and productivity gains. Yet very few begin with a more fundamental question:

What assumptions are embedded within the data, processes, and observations feeding those systems?

AI doesn't eliminate assumptions.

It often amplifies them.

An incorrect assumption that affects a small workflow can become far more expensive when scaled across an entire organization through automation.

This is why I've come to believe that one of the most valuable skills a founder can develop is the ability to identify assumptions that others have stopped noticing.

Great entrepreneurs are often described as visionaries. In reality, many are simply observers who refuse to accept inherited assumptions without examining them.

They ask questions that sound obvious in hindsight.

Why is this process done this way?

What if this assumption is wrong?

What if we've optimized for the wrong outcome?

What if the constraint we've accepted no longer exists?

Most breakthrough ideas begin there.

Not with an answer.

With a better question.

Looking back, every company I've helped build can be traced to a moment where an accepted assumption no longer made sense.

The opportunity wasn't hidden.

It was sitting in plain sight.

The assumption had simply become invisible to everyone else.

That's why assumptions are so expensive.

Not because they prevent progress.

Because they often prevent us from seeing where progress is possible.