* By Ricardo Recchi
Software development is undergoing one of the biggest transformations in the technology sector. With the advancement of low-code platforms, application creation has become faster and more robust. The convergence of this tool with generative artificial intelligence (AI) ushers in a new era, profoundly impacting how companies build, use, and evolve their systems.
Both technologies are gaining traction in companies worldwide. The low-code market is expected to grow from US$37.39 billion in 2025 to US$264.40 billion in 2032, exhibiting a compound annual growth rate (CAGR) of 32.21% over the forecast period, according to Fortune Business Insights. McKinsey reports that by 2024, 721% of global companies will have adopted AI in their workplace, a significant increase compared to 551% in 2023.
By combining the technology duo, business and technology areas begin to collaborate more quickly and efficiently, enabling the creation of applications based on natural language descriptions, eliminating the need for manual coding, and enabling companies to quickly transform ideas into functional solutions.
At the same time, systems are becoming more intelligent and intuitive. Instead of requiring users to adapt to interfaces, software now learns to understand user needs through conversational and adaptive interactions. This simultaneous transformation in how we develop software and how we interact with it represents a turning point that empowers digital transformation across all business areas.
This scenario poses a new strategic challenge for CIOs (Chief Information Officers), as we see a demand that involves not only adopting new technologies to innovate, but also completely reprogramming organizations' IT strategies. The role of leaders becomes that of orchestrators of Digital Transformation, responsible for integrating open, flexible, and sustainable systems capable of continuously evolving in an environment of constant innovation.
The convergence of Low-Code and Generative AI requires a complete overhaul of solution architecture. Traditional development, based on manual code writing, gives way to a logic oriented toward knowledge modeling, whose applications are generated automatically, in a coherent and scalable manner. This doesn't mean less control for CIOs, but rather a greater focus on curation and orchestration: defining rules, workflows, and knowledge bases will ensure the consistency and sustainability of systems.
Another critical point is data governance. As Generative AI becomes increasingly strategic in its processes, ensuring the integrity, privacy, and traceability of information becomes essential. CIOs will face the challenge of structuring robust data policies, creating secure environments, and, at the same time, ensuring that the company maintains technological autonomy, avoiding excessive dependence on a single vendor or platform.
More than just a trend, organizations that successfully structure an efficient Low-Code and Generative AI strategy will be better prepared to respond to constant market transformations and explore new growth opportunities.
For CIOs, this is an opportunity to lead the evolution of companies, transforming the IT department into a true engine of innovation, capable of delivering more agile, intelligent solutions aligned with the business's strategic objectives. The future of software development has already begun, and it will be shaped by those who know how to orchestrate knowledge in a scalable and sustainable way.
*Ricardo Recchi is the Brazil-Portugal regional manager at GeneXus, a company specializing in Enterprise Low-Code platforms that simplify software development and evolution through Artificial Intelligence.
Notice: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
EN 
PT 
