The Most Expensive Software Is the One That Works

There’s a belief in this industry that I used to accept without much thought: offshore development is significantly cheaper than U.S.-based development.

The longer I’ve been in this business, the less that belief has held up.

I’m not here to tell you offshore development is bad. I’m not here to tell you anyone is stupid for choosing it. What I want to do is share something I saw firsthand that changed how I think about the real cost of software, because if you only measure the number on the invoice, you are almost certainly missing where your money is actually going.

The Multi-Billion-Dollar Moment That Changed My Perspective

Years ago, I was working with a multi-billion-dollar enterprise that was running two development teams in parallel on the same type of work. One was our U.S.-based team. The other was an offshore team in the Philippines.

It was a rare setup. We had actual, measurable, side-by-side data. Not theory, not sales pitches, not hypotheticals. Output. Speed. Efficiency. Everything you’d want to evaluate a team on. And the engagement ran for two full years, long enough for patterns to show up clearly and long enough for a comparative analysis to mean something.

The person running that analysis was their own Director of Engineering, the internal leader who owned the entire initiative and was managing both teams day to day. He was the one tracking the metrics across those two years. He was the one who came to us and said, flat out, that our team was roughly 300% more efficient than the Philippines team.

And he was the one who went to bat for us with his own leadership. He pushed hard to keep our team on and wind down the offshore side of the initiative. He had worked closely with both groups for two years. He saw the difference every single day. He was convinced it was the right call for the business, and he said so repeatedly to the people above him.

Then the company chose the offshore team anyway.

In an organization that large, the person closest to the work does not always win the argument. His leadership looked at the rate, not the output. Not because our work was worse. The numbers said the opposite. They chose the offshore team because the hourly rate was about one-third of ours. On paper, that looked like a massive savings. In reality, the math was almost identical. A team that costs one-third as much but takes three times as long to deliver lands in roughly the same place on total spend.

They had the evidence. They had their own Director of Engineering presenting the evidence. They ignored it because the line item was smaller.

Perception won. They didn’t see “same cost, worse outcome.” They saw “cheaper developers.” And that was that.

That was the moment I realized something that has stuck with me ever since: companies do not choose software partners based on what things actually cost. They choose based on what costs look like.

The Bank Friend Who Summed It All Up

Fast forward to a conversation I had recently with a friend of mine who works at a large bank. Her job is in jeopardy. The bank is making two moves at the same time: rolling out AI inside their customer service org, and offshoring a significant portion of what’s left.

Here’s the part that stopped me.

They’ve already tried this before.

The previous offshore rollout failed. Inside of about a year, they had to reverse course. The customer experience degraded, complaints went up, rework went up, and they quietly pulled the work back.

And now they’re doing it again. Same playbook. This time bolted onto an AI initiative.

That’s not a story about offshoring. That’s a story about a pattern.

The Pattern Isn’t About Offshore. It’s About Cost Illusion.

Once you start looking for this, you see it everywhere:

A company chooses the cheaper option.
Results degrade in ways that are hard to measure.
Inefficiency gets normalized as “how things are.”
Everyone forgets the last time this was tried.
The decision repeats.

It shows up in software development. It shows up in customer service. It’s showing up in how a lot of companies are adopting AI right now. The common thread isn’t the tactic. It’s the measurement.

Companies are optimizing for the costs they can see and ignoring the costs they can’t.

What Companies Measure vs. What They Don’t

Here’s what the typical executive dashboard actually tracks:

Hourly rate
Monthly spend
Headcount

Here’s what it almost never tracks:

Time lost
Rework that nobody calls rework
Internal frustration
Workarounds your team built around your own systems
Customer experience degradation

The most important costs in software are the hardest ones to see, so they get ignored. The number on the invoice is concrete. The time your ops team spends re-entering data because the system doesn’t quite do what it’s supposed to? That’s a ghost. Nobody puts it on a spreadsheet. Nobody reports it to the board. It just quietly eats your week, every week, forever.

The “It Works” Trap

Here’s the line I keep coming back to:

The most expensive software is the one that works.

That sounds backwards, so let me explain what I mean.

Software that is completely broken gets fixed or replaced. It has to be. The pain is visible, the cost is obvious, and somebody eventually signs off on fixing it.

Software that works, but barely, is a different animal. It runs. It produces output. Tickets close. Reports generate. From a certain altitude, everything looks fine. But underneath, your team is:

Performing manual steps the system was supposed to eliminate
Maintaining spreadsheets outside the system because the system is too painful to use
Avoiding certain features because they’re slow, unreliable, or confusing
Waiting days or weeks for small changes that should take hours
Training every new hire on workarounds instead of on the product

None of that shows up in a budget line. But it is, without exaggeration, one of the most expensive things a company can carry.

You don’t see awful software immediately. You see it a year later, in the form of a team that’s inexplicably slow, a customer experience that’s inexplicably worse, and a backlog that never seems to shrink.

Time Is the Cost Nobody Prices In

If I could convince every business leader of one thing, it would be this: time is a cost.

Longer timelines don’t just mean more hours billed. They mean:

Business improvements that don’t arrive when they were supposed to
Inefficiencies that get to run for another quarter
Competitors that move while you’re waiting
Revenue opportunities that close before your system is ready

When a project takes three times as long to deliver, the real damage isn’t the billable hours. It’s the three extra quarters you spent running a business that was less capable than it should have been.

Iterations, Not Hours

The cheapest developer in the world is expensive if it takes them five iterations to get something right.

The most useful framing I’ve found for evaluating development cost isn’t hourly rate. It’s this:

How many iterations does it take this team to get something right?

A team with a higher rate that ships the right thing in one pass will consistently beat a team with a lower rate that needs three or four passes. Every redo eats the rate advantage and then some, and that’s before you count the opportunity cost of the delay.

Efficiency is not about cheaper labor. It’s about fewer cycles.

The Hybrid Model Doesn’t Solve It Either

A common compromise I see is the “best of both worlds” model: a U.S.-based agency with offshore developers sitting behind it. The pitch is familiar. You get U.S. communication on the front end and offshore economics on the back end.

In practice, I’ve watched this model produce the worst of both. It’s often more expensive than a true U.S. team once you count the agency markup, and it still runs into the same delivery problems: slower iteration, communication loss through a project manager middle layer, and results that look fine on a status report but don’t translate into velocity. (We’ve written about that pattern in more detail in False-Shoring if you want the longer version.)

Location, it turns out, is not the root issue.

The Real Problem: Execution Capability

After years of watching this play out, I’ve come to believe the cost debate is almost always a misdirection. The real problem isn’t offshore versus onshore. The real problem is this:

Most teams know how to code. Very few know how to deliver.

These are not the same skill.

Coding is writing code and completing tasks. Tickets go in, code comes out.

Engineering is designing systems, making technical decisions, and thinking about how a choice today affects a choice two years from now.

Delivery is the rarest of the three. Delivery is taking a project from a half-formed idea to a working, usable solution, balancing scope, timeline, budget, communication, and quality, all at once, all the way through.

A team that can do all three is uncommon. A team that stops at coding is everywhere.

Why Delivery Is So Rare

The skills required to drive a project from idea to completion (keeping every stakeholder aligned, saying no when you need to, actually finishing) are essentially CTO-level skills. Most development teams, offshore or otherwise, simply don’t have that capability on the ground.

This is the gap most companies don’t realize they’re paying for.

They think they’re hiring developers. What they actually need is delivery leadership. Without it, it doesn’t really matter where the developers sit or what they charge. The project will drift, the iterations will multiply, and the “savings” will disappear into the calendar.

The Reframe

So when I hear a company say “we need cheaper developers,” what I usually hear underneath that is a company that hasn’t diagnosed its actual problem.

You don’t have a cost problem. You have a delivery problem.

Cheaper developers will not fix a delivery problem. They will hide it. And they will make it more expensive over time, not less.

A Short Diagnostic

If you want to sanity-check whether your current setup is as efficient as you think it is, these are the questions I’d sit with honestly.

On internal process:

Does it take longer than expected to make simple changes to your systems?
Do you find yourself explaining the same thing to your team or your vendor more than once?
Are there manual steps your software was supposed to eliminate that your team still performs?
Do your teams work around the system instead of through it?

On project execution:

Does work feel like it’s always in progress but never fully done?
Do features typically require multiple attempts to get right?
Are you managing your developers instead of your developers driving the work?

On customer experience:

Have you rolled out changes that quietly made things worse for your customers?
Have you reversed a cost-saving decision (offshoring, automation, tooling consolidation) within the last few years, and are you considering the same type of move again?

If you answered yes to several of those, the issue is almost certainly not your hourly rate.

Comfort Is Not Efficiency

One last piece of this that’s worth naming: a lot of what keeps companies locked into inefficient setups isn’t cost. It’s comfort.

A known vendor, a familiar process, a team that at least produces something. Those feel safer than the disruption of changing course. Predictability beats performance for most leaders, and I understand why. But predictability of output is not the same as quality of output, and staying with what you know can very easily be the most expensive decision on your balance sheet.

Comfort masks inefficiency. And inefficiency, once it’s normalized, is almost impossible to spot from the inside.

Where I Land

I’m not asking anyone to rip out their offshore team tomorrow. I’m not asking you to agree with my take. I’m asking one honest question:

Is what you have actually as efficient as you think it is?

That’s it. That’s the whole point.

If the answer is yes, great. Keep going. But if there’s a flicker of doubt when you sit with that question, that flicker is worth paying attention to. Because in software, the gap between “it works” and “it works well” is where most of the money goes. And almost nobody is measuring it.

The most expensive software is the one that works. Not because it’s broken. Because it hides everything that is.

The Most Expensive Software Is the One That Works | Active Logic Insights