The Finite Field Fallacy
Why AI Won’t Make Software Engineers Disappear
(Spanish version here)
In recent years, an idea has become increasingly popular in headlines and technology debates: the notion that new artificial intelligence tools will make software developers less and less necessary. According to this view, the automation of programming will drastically reduce the demand for engineers, because a single person equipped with advanced tools will be able to do the work that previously required many people.
However, this interpretation is based on an oversimplification of the problem. It could be called the “Finite Field Fallacy”—an appealing narrative that ignores how productive systems actually behave when technology increases productivity. To understand why this idea is misleading, it is useful to turn to a simple metaphor.
The Farm and the Miracle Machine
Let us imagine a farm.
The owner of this farm has a group of workers responsible for planting, tending the crops, and harvesting the produce. The work is hard and requires many people. Suppose that, in order to maintain current output, the owner needs ten workers laboring for an entire day.
One day, someone appears and offers him an extraordinary new machine. This machine allows a single worker to do in one hour what previously took ten workers an entire day to accomplish. On top of that, the machine is very cheap and easy to acquire.
At that point, the intuitive reaction seems obvious: if one person with one machine can do the work of ten, the owner of the farm will fire nine workers.
This is exactly the logic many people apply when thinking about artificial intelligence and software development.
But that logic contains a hidden assumption.
Changing a Single Variable: the Infinite Farm
The Infinite Farm
Now let us change the scenario slightly.
Imagine that this farm has no limits. The owner has an infinite amount of arable land. Before the machine arrived, production was constrained by the number of workers available. They could cultivate only a small fraction of the land.
Then the miracle machine arrives.
What would the owner of the farm actually do?
The rational move would not be to fire workers. The rational move would be to buy one machine for each worker and multiply total productivity. Suddenly, every worker could produce ten times more.
But even that would not be enough.
If the land is infinite, the next logical step would be to hire more workers and buy more machines, with the goal of cultivating more and more land and continuously increasing output.
Technology does not reduce the number of workers.
It expands the scale of the system.
The Parallel with Software
The world of software looks much more like the infinite farm than the limited one.
In organizations, there is no point at which software is ever truly “finished.” There are always new processes to optimize, new tools to build, new automations to implement, and new business models that require technological support.
Every improvement opens up new opportunities:
new internal systems
new digital products
better tools for employees
process automation
more advanced data analysis
new customer experiences
An organization’s technological needs are not finite. In fact, they tend to expand as the capacity to build solutions increases.
When development tools become more powerful—as is happening now with artificial intelligence—what normally occurs is not a reduction in the total amount of work, but an expansion of the problem space worth solving.
In other words, more of the farm begins to be cultivated.
The Real Transformation of the Software Engineer
This does not mean that the work of software engineers will remain identical.
On the contrary, the nature of the work is changing.
If automatic tools can generate code faster and faster, the engineer’s value no longer lies solely in writing lines of code. The role evolves toward higher-level functions:
deeply understanding business problems
translating human needs into technical specifications
designing coherent architectures and systems
reviewing and validating automatically generated code
identifying technical risks and trade-offs
guiding the long-term evolution of systems
Pure programming—the manual act of writing code—will tend to become partially automated. But technical judgment, abstraction ability, and understanding of business context will remain fundamental.
In other words, the software engineer increasingly becomes an intelligent intermediary between the human problem and the digital machinery.
From Programmer to Solutions Architect
If we accept the metaphor of the infinite farm, the conclusion is clear: software development does not disappear; it transforms.
The most valuable skills for the engineers of the future will not simply be those related to the efficiency of mastering a programming language or a specific technology stack in order to produce code quickly, but those that make it possible to:
understand complex systems
frame problems correctly
guide automated tools toward useful solutions
validate that systems truly solve the original need
The focus shifts from writing code to directing the creation of software.
Conclusion
The idea that artificial intelligence will drastically reduce the need for developers starts from a mistaken premise: the assumption that software addresses limited needs.
But the digital world looks far more like an infinite farm than a closed plot of land.
When a technology radically increases productivity, the usual result is not a reduction in human work, but an expansion of the productive system. More capacity creates more ambition, more projects, and more opportunities.
Machines can help cultivate faster.
But as long as the farm remains infinite, we will still need farmers.