For almost two decades, businesses competed on one defining advantage: their ability to build software faster than everyone else.
The logic was simple. Faster development meant quicker product launches, shorter release cycles, more features and, ultimately, stronger commercial performance. Engineering capability became a competitive advantage because software production itself was the constraint.
Then AI changed the rules.
Today, software can be designed, prototyped and developed at a speed that would have seemed impossible only a few years ago. Development cycles continue to shrink while the cost of producing digital products falls. For many businesses, the question is no longer whether they can build something. It’s whether building it creates any value at all.
That’s where I think many organisations are looking in the wrong place.
Across South Africa’s digital economy, businesses are producing software more efficiently than ever before. Yet many are struggling to convert that increased output into meaningful commercial growth. More features are being released. More products are reaching the market. Faster production, however, is not consistently creating stronger businesses.
The competitive advantage has shifted away from software development itself. Increasingly, it’s the quality of the decisions that happen before development begins that separates businesses that compound growth from those that simply produce more work.
For years, leadership teams focused on expanding engineering capacity, reducing delivery timelines and improving development velocity. Those investments made sense when software production was the bottleneck.
Today, the real constraint often sits much earlier in the process.
Poor prioritisation still produces poor products, regardless of how quickly they’re built. Weak customer validation still leads to unnecessary features. Unclear commercial objectives still result in technically impressive software that fails to deliver meaningful business outcomes.
AI hasn’t made judgement obsolete. If anything, it’s made it more valuable than ever.
Across the product teams we’ve worked alongside, one pattern has emerged time and again. Some of the highest-performing teams ship significantly less software during the Minimum Viable Product stage than many of their peers, yet consistently outperform them commercially. They convert engineering effort into revenue at a substantially higher rate because every feature is treated as a deliberate commercial decision rather than another item on a development roadmap.
That changes the role of leadership.
Instead of asking how quickly something can be built, executives should be asking whether it deserves to be built at all.
As artificial intelligence continues reducing the cost of software production, organisations that fail to strengthen decision-making capabilities risk accelerating the wrong work. Technology can increase efficiency, but it cannot determine whether a business is solving the right problem.
One example illustrates just how quickly the landscape has shifted. One fintech business now runs its software operation using more than 900 AI agents and 173 connected tools, turning a simple voice note into a compliant plugin from an almost empty prompt.
It’s an extraordinary example of how rapidly software production is changing. It also highlights something far more important. If building software is becoming almost effortless, then software itself can no longer be the competitive advantage. The real differentiator is knowing what deserves to be built in the first place.
“The market has become very good at measuring output,” says Joshua Harvey, CEO at Specno. “What many businesses still struggle to measure is whether the systems underneath that output are mature enough to sustain growth effectively over time. The bar for turning product into revenue has risen sharply in the last 24 months. Capital is harder to raise. Compounding it is harder still. The gap between teams that compound their gains and those that stall continues to widen with each passing quarter.”
Much of the conversation around AI still focuses on productivity, automation and cost savings. Those benefits are real, but they also expose something many businesses haven’t fully recognised.
When production becomes easier, weaknesses elsewhere in the organisation become far more visible.
Businesses with disciplined product decision-making become dramatically faster. Those without it simply end up making poor decisions more efficiently.
AI is best understood as an amplifier. It accelerates strong organisations, but it also exposes weak ones. The technology doesn’t fix poor product decisions. It simply helps businesses make them faster.
That’s why operational maturity is becoming more important than technical capability alone.
The organisations that consistently outperform understand that successful digital products are not built through engineering effort alone. They emerge from disciplined decisions about customer value, commercial priorities, sequencing and evidence-based learning. Those capabilities are far harder to replicate than software development itself.
These aren’t theoretical observations. They’re patterns we’ve seen repeatedly across regulated financial institutions, pension funds, fast-growing fintechs, FMCG businesses and enterprise platforms operating across South Africa and the broader African continent.
“We developed this report because we realised there was no structured way for businesses to properly evaluate the maturity of their product environments,” says Harvey. “After working alongside organisations ranging from regulated financial institutions and pension funds to fast-growing fintechs, FMCG businesses and enterprise platforms operating across Africa, the same capability patterns kept emerging. Many tools measure isolated technical outputs, but very few assess whether the wider operational environment supporting a product is actually capable of sustaining long-term growth. Most product teams are operating below the standard the market now demands, and they can feel it without being able to name it.”
Artificial intelligence will continue transforming software development. That much is certain.
The organisations that succeed, however, are unlikely to be the ones producing the greatest quantity of software. They’ll be the businesses making consistently better decisions about where technology creates value, where resources should be invested and which opportunities deserve pursuit.
AI is making software easier to build every month.
The businesses that win won’t be the ones building the most.
They’ll be the ones making the fewest bad decisions before the first line of code is ever written.
“One of the things we realised very quickly is that there is still very little shared industry insight into what operational pressure inside scaling digital businesses actually looks like,” concludes Harvey. “We believe there is real value in consolidating that information in a way that helps businesses better understand the patterns, capability gaps, and operational risks emerging across the market. The teams that win in 2026 are not the ones doing more. They are the ones building the capabilities that matter, and knowing exactly how strong they are.”
By Joshua Harvey, CEO, Specno