Speed of execution is the moat now

Over the past two years we have seen the same thing happen at dozens of product teams we work with. A company releases something genuinely new, has a few months with no competition, and then finds three competitors offering a close version of the same thing. The idea was not the hard part. Building it stopped being the hard part too. What is left, once building is cheap, is a simple question: who gets better fastest? Here is what we keep seeing about the moat, meaning the advantage that stops competitors copying a business, and where it is now.

1. Being first gives a lead that competitors can close

For a long time, getting to market first felt like protection. You had the users, the data, and the head start, and catching up looked expensive. That calculation has changed. When a small team with modern tools can rebuild a working version of your product in days, the cost of copying you drops close to zero. The early lead is real, but it now lasts weeks, where it used to last years.

We see this most clearly with early AI features. A clever assistant or a smart workflow that felt new in the spring can be built by one person in a weekend by the fall. The teams that treated their first release as permanent protection were overtaken. The teams that treated it as the first version of something they would rebuild ten times got ahead. Being first got them attention and no lasting protection.

There is a second reason the first version's lead rarely lasts. Your first release is built on guesses about what users want, and most of those guesses are wrong in small ways you cannot see yet. We worked with one team that released an onboarding flow users liked, then learned from real usage that people were leaving at a step they thought was obvious. The version that felt finished was actually the moment they had the least information they would ever have again. A copy of that first version has the same unseen mistakes, so the early lead is smaller than it looks.

What to do: use your lead to learn faster than the people who are about to copy your first version.

2. The real advantage is the speed of your learning cycle

If the code does not protect you, what does? The learning cycle. How quickly can you put a change in front of real users, see what actually happens, and put the next change in front of them? A team that completes that cycle every week works at a different pace from a team that completes it every quarter. Over a year, the weekly team gets fifty tries. The quarterly team gets four.

The benefit adds up over time, and most people expect less than they get. Each cycle is information you now have and your competitor does not. After a year of short cycles, you are ahead because you have run the experiment far more times and you know things about your users that nobody can copy by looking at your product.

Research supports the idea that a faster cycle is a real, measured advantage. Years of DORA research on software delivery found that the highest-performing teams deploy far more often than low performers and also have lower change-failure rates. Speed and stability rose together. So the data does not support the fear that a faster cycle means a less stable product. The teams that learn fastest also tend to break things least.

So the question we ask teams is "how long does it take you, today, to release one change and learn from it." That number is the most useful measure of a team. When it gets smaller, everything that follows gets easier.

3. Speed comes from the way the team works

The word speed makes people picture long nights and skipped steps. Neither lasts. Teams that go fast for one quarter by overworking and skipping tests are slow by the next one, because they spend it fixing their own problems. Real speed is boring. It is small changes, automated checks that catch mistakes before users do, and releases that are routine and calm.

The goal is to make the safe way of working also the fast way. When releasing a small, well-tested change is the easiest thing an engineer can do, they do it constantly, and the product improves steadily in small steps instead of in large, risky jumps. When releasing is scary, people save up their work, releases get large, and every launch becomes a risk. Done right, speed comes from the system you built, and the hours anyone works matter less.

This is also why senior teams tend to move faster over time. They have paid the cost of skipping steps before, so they build the safety checks first and then go fast.

We saw the difference clearly with two teams building similar products. One released in large batches every few weeks, and each release was a tense event that needed the whole team. The other released small changes most days, each one checked by automated tests. When both found a bad bug, the first team spent two days finding which of forty changes caused it. The second team found it in an hour, because the change that broke things was one of only a few released that day. The two teams had similar skill. The way each team worked decided its speed.

4. Decide quickly, then correct

Slow teams are often slow at writing code, but just as often they are slow to decide. They hold a call, then a follow-up call, then wait a week for one more opinion, all for a choice they could reverse in an afternoon. Every day spent waiting to be sure is a day with no new release and nothing learned.

The most useful way of thinking about this that we have found comes from Jeff Bezos. In his 2015 letter to Amazon shareholders, he split decisions into two kinds. He called some of them one-way doors: hard to undo, so they deserve care. He called most of them two-way doors: you can undo them if you were wrong. His point was that teams get slow when they treat every decision that is easy to undo like one that is hard to undo, and spend too long on choices they could simply reverse. Moving and deciding quickly, then correcting, is better than waiting to be sure.

In practice this means sorting your open questions before you debate them. Ask one thing first: if this turns out wrong, how hard is it to reverse? For the reversible ones, and that is most of them, choose in the meeting and release it. You learn more from the version that is live than from the third meeting about it. Save the long, careful process for the few choices you truly cannot take back. A team that decides as fast as it builds will always get ahead of a team that builds fast but decides slowly.

What this means for you

Stop thinking of your product as something to protect. Think of it as a cycle to make shorter. Measure how long it takes to release one change and learn from it, and treat making that number smaller as a real goal. Build the checks that let you move quickly without breaking things, so speed does not turn into weeks of fixing problems. And when you release something that works, keep improving it. Someone is already rebuilding it.

Thanks to the teams we have partnered with who let us see this closely, and who kept releasing while the whole industry changed. The advantage now goes to whoever improves fastest, and keeps improving after the first praise has stopped.

Since the first version of this piece, the industry changed again. Every line of code we deliver is now generated, which took the build step from the largest part of a project to close to the smallest. That made the advantage described here larger, because it removed the last excuse for a slow cycle. When a competitor can produce the same feature in a week, your lead lasts exactly as long as one pass through your learning cycle.

References

• DORA / Accelerate State of DevOps research: multi-year research showing the highest-performing teams deploy far more often and with lower change-failure rates than low performers, so delivery speed and stability rise together.
• Amazon 2015 Shareholder Letter, Jeff Bezos: argues that most decisions are reversible (two-way doors) and should be made quickly, and that slowness comes from over-deliberating choices that could simply be undone.

Related guide: How to build an AI product.