AI Agents in 2026: Trends and Predictions

Summary: Core Thesis, Key Insights and Strategic Recommendations

Core Thesis:
2026 will be the year of agentic consolidation: AI agents advance from generic assistants to autonomous and specialized ecosystems, transforming productivity, automation, customer experience and growing as an absolute priority on the strategic agenda of companies across all sectors.

Key Insights:

• The integration of AI agents in enterprise applications will jump from less than 5% to up to 40%, with growing specialization and multimodal orchestration among multiple agents.
• Sectors such as finance, telecom, retail, and logistics will lead adoption, with automation in complex processes, customer service, sales, and critical operations.
• Personalization and experience redefined: intelligent virtual consultants will replace basic chatbots, promoting hyper-personalized journeys and predictive action.
• AI investments will grow in 92% of companies over the next three years, with agents representing up to 30% of global enterprise software revenue by 2035.
• Strategic training will become a differentiator: half of knowledge professionals will be trained to create, operate, and govern on-demand agents by 2029.

Strategic Recommendations:

• Rapidly establish solid data, governance, and innovation foundations to leverage the use of specialized AI agents.
• Invest in integration between multiple agents, creating robust and resilient collaborative ecosystems.
• Focus on extreme personalization, promoting unique experiences for customers and end-to-end intelligent operations.
• Get ahead of the “new normal” by training teams to design, operate, and supervise AI agents.
• Prepare environments for exponential growth, betting on innovative revenue models and sustainable competitive differentials.

Trends in 2026: Consolidation and Expansion of AI Agents

• Agent Specialization: Transition from simple assistants to advanced autonomous agents, capable of fully executing and deciding complex processes.
• Intelligent Collaboration: Integration between agents creates multimodal digital ecosystems, elevating organizational resilience, adaptability, and performance.
• Leading Sectors: Finance, telecom, retail, and logistics emerge as pioneers in automation and intelligent management, with direct impact on margins and experiences.
• Next-Generation CX: Intelligent agents promote hyper-personalized journeys, anticipating demands, negotiating in real time, and integrating all channels.
• Marketing and Sales Beyond Automation: Autonomous campaign execution, instant offer optimization, and integrated omnichannel customer experience.

Market and Business Predictions

• 92% of companies will increase AI investments by 2029, targeting efficiency, continuous innovation, and new revenue models.
• AI agents are expected to account for up to 30% of global enterprise software and applications revenue by 2035, exceeding US$ 450 billion.
• Future skills: within five years, half of knowledge professionals will be able to create and operate intelligent agents on demand.

Conclusion

2026 marks the transition from traditional digital assistants to autonomous and intelligent agents, taking companies to another level of automation, personalization, and competitiveness. Those who combine innovation, operational speed, and differentiated experience will win; those who fall behind will lose relevance at an accelerated pace.

About the Author

Rodrigo Bornholdt is Co-founder and Chief Technology Officer at Zappts, specialized in Software Architecture and Artificial Intelligence, with solid experience in technology team leadership, complex systems development, and innovation applied to business strategies.

About Zappts

Zappts is a Brazilian technology and innovation company that for over 10 years has been creating, modernizing, and evolving secure and scalable digital solutions for large organizations. Combining practical experience in software engineering, data, and artificial intelligence, it integrates technology, methodology, and processes, accelerating value delivery with efficiency, quality, and governance. Its operations span from strategy to software application and AI development, being a reference in Brazil on intelligent agents and agentic transformation. Click here to learn more.

Sources: 

• NBER (National Bureau of Economic Research), in collaboration with researchers from Stanford and MIT. The Study: “Generative AI at Work” (Brynjolfsson, Li, Raymond – Published/Revised in 2023).
• Bain & Company. The Report: “The State of Generative AI” (Data released in 2024 and applied to regional breakdowns).
• MarketsandMarkets. The Report: “Autonomous AI and Autonomous Agents Market – Global Forecast to 2028”.
• Bain & Company (Brazil Breakdown)
• MIT CISR (Center for Information Systems Research)