Software has evolved beyond being merely a support tool and has established itself as the language that structures contemporary society, shaping everything from the most trivial daily actions to the most complex processes of governments, corporations, and institutions. Behind the friendly interface of an application or the precision of an automated system lies an ever-expanding phenomenon where the demand for software is, in essence, infinite. Its ubiquitous presence reveals continuous growth that appears to have no limits, permeating financial markets, corporate networks, and government systems worldwide.
For decades, the creation of digital solutions was restricted to large companies with robust budgets and numerous teams. The prevailing logic was one of scarcity, where every project had to justify high costs and extended timelines. This scenario began to transform with the proliferation of generative artificial intelligence, low-code and no-code platforms, and advanced language models. The barrier between idea and implementation has been drastically reduced, enabling a functional prototype to emerge in days rather than months.
This shift is so significant that the global low-code development platforms market, valued at USD 28.75 billion in 2024, is projected to reach USD 264.40 billion by 2032, growing at a compound annual growth rate of 32%, according to a Fortune Business Insights report. For every problem solved, new contexts emerge, generating new needs. An automated customer service system, for example, quickly reveals the demand for CRM integration, sentiment analysis, and flow personalization.
However, this accelerated pace also raises important challenges. The democratization of development and the growing reliance on AI may generate security risks, technological inequality, and rapid obsolescence for professionals who fail to adapt to new tools. Furthermore, the pressure for quick solutions can compromise the quality and sustainability of critical software, exposing companies and users to technical and ethical vulnerabilities. Exponential growth therefore demands attention to digital governance, talent development, and responsible technology advancement.
In this context, artificial intelligence plays a central role in this movement, as it not only accelerates the development process but redefines the practice of creating software. Tools based on language models are capable of writing code, suggesting architectures, correcting flaws, and even designing interaction flows. This changes the profile of the developer, who now operates in a more strategic and creative capacity, delegating operational activities to intelligent support systems.
By drastically reducing development costs, AI also democratizes access to sophisticated technologies. Resources previously available only to large corporations, such as custom ERPs or recommendation algorithms, become accessible to small businesses, startups, and non-profit organizations. The result is an expansion of the innovator base, capable of launching solutions that were previously economically or technically unviable.
This process reinforces the role of this system as an invisible yet indispensable infrastructure, comparable to electricity and the internet itself. From urban sensors to hospital systems, from social networks to financial platforms, virtually all modern activities depend on the system to function with efficiency, scalability, and security. This means that the technological evolution of emerging sectors, such as biotechnology and robotics, will remain conditioned on the advancement of digital solutions.
This progress generates a virtuous cycle where technology facilitates development, innovation accelerates in turn, and new demands arise sequentially. The speed of this movement creates a spiral of digital abundance, in which human creativity itself, amplified by AI, becomes fuel for software production on an unprecedented scale.
Therefore, the demand for software tends to remain unlimited, because every solution generates new challenges and opportunities. Artificial intelligence does not replace the developer but expands their capacity to create. The horizon that opens up does not represent the end of a cycle, but the beginning of an era in which the limits of digital creation cease to be definitive barriers and become merely starting points, provided we know how to manage risks, train professionals, and maintain technology as an ally of responsible development.

