The year of 2026 represents the moment when intelligent solutions stop being just support tools and become part of business decisions. Artificial Intelligence (IA) remains one of the main vectors of structural business transformation in the coming years. According to the Digital Trends report 2026, is Softtek, AI based on autonomous agents (Agentic AI) will represent 30% from global enterprise software revenue to 2035. The projection also points to an average annual growth exceeding 40% in this next decade.
Different from traditional AI, that analyzes data or produces content under human command, Agentic AI operates as a system capable of making decisions and executing complete processes. These agents can interpret data, set actions, perform tasks and adjust process steps according to the results obtained. According to the study, 2026 It will be a year of definitive transition for generative AI and its new functions. At the moment, technology and its resources are still very concentrated on productivity and assistance to humans. But, systems will evolve into models capable of planning, execute and adjust complete workflows.
For Jose Marcos Brum, vice president of Business in Strategic Segments at Softtek, the transition is marked by a cultural and operational change, not just technological. “We are moving from the era where AI was a consultation tool to an era where it is a real operational execution force. The role of leaders now evolves from ‘task executors’’ for ‘agent curators’, ensuring that AI autonomy is aligned with the company’s strategy and governance”, it says.
The use of continuous decision systems is growing
The report also shows that companies are migrating from models based on static reports to continuous decision systems. Areas such as finance, supply chain and risk management will benefit most from Personalization Agents, that define the next best offer (Next Best Action) in real time; by Agility Agents, capable of automatically prioritizing complex operational demands; and by Dynamic Agents – who adjust prices and reconfigure logistics chains.
Furthermore, the concept “AI-First by Design” appears in the report showing that products and systems must be built with integrated intelligence from their conception, enabling continuous learning. Although, This advancement will require new control mechanisms. “Without structured governance, autonomy can increase regulatory risks. This is why we propose indicators such as the ‘Autonomous Success Rate’ and the ‘Explanability of Decisions’. Success will not come from technology alone, but the trust we place in it”, reinforces Brum.
