2025 marked a pivotal year for AI accelerated adoption across a wide range of industries. From automation and data-driven decision-making to personalized services, AI has reshaped how organizations operate and innovate. Looking ahead in 2026, understanding the emerging trends that will define the next phase of AI’s evolution is essential for businesses who are seeking to remain competitive.

AI agents will increase productivity for employees at all levels 

In 2026, AI agents and agentic workflows will fundamentally reshape how work gets done. Instead of using AI as a reactive tool, employees will increasingly allocate tasks to multiple AI agents that collaborate to achieve defined goals. This shift moves human work away from routine execution and toward strategic oversight, decision-making, and creativity. IDC forecasts that by 2030, 45% of organizations will orchestrate AI agents at scale by embedding them across business functions.
What sets 2026 apart is the rise of multi-agent systems. A multi-agent system (MAS) consists of multiple AI agents working collectively to perform tasks on behalf of a user or another system. This capability goes far beyond traditional chatbots by enabling AI to deliver higher-value, function-specific automation across business operations. Through Multi-Agent Systems (MAS), AI can tackle large-scale, complex tasks by coordinating hundreds or even thousands of specialized agents working together.
Notably, these capabilities have already been applied across industries. In healthcare, MAS can coordinate multiple AI agents to support complex workflows such as patient monitoring, diagnostics, treatment planning, and hospital operations. Each agent can focus on analyzing medical data, managing scheduling, or ensuring compliance. For the insurance industry, FPT implemented a multi-agent AI solution for a leading Canadian insurer using an AI Agent Creator System to develop specialized agents that automated key tasks across the Software Development Life Cycle (SDLC). This approach accelerated delivery with 30% faster sprint velocity and achieved a 200% increase due to reduced defects, expanded test coverage, and more rigorous testing practices. 

Read more about the success stories here: 200% Quality Improvement with AI for a Leading Canadian Insurer

AI infrastructure becomes smarter

As AI models grow more advanced, businesses have traditionally responded by adding more computing power, urging tech companies to build massive data centers to support ever-larger models. By 2026, however, organizations are shifting away from underutilized servers in isolated facilities toward globally interconnected, high-performance systems. This transition moves AI development to a leaner, more optimized approach - an “AI superfactory” designed as a coordinated grid of efficient, scalable production lines. By leveraging cloud-based AI platforms that intelligently distribute workloads to optimal resources, organizations can lower operational costs and minimize energy consumption. Furthermore, the shift towards deploying smaller AI models closer to where data is generated helps reduce latency and data transfer. Looking ahead, IDC forecasts that 70% of organizations will prioritize aligning technology investments with measurable business outcomes, such as return on investment and value creation, when considering new AI infrastructure. And this trend is expected to remain until 2028, where 75% of enterprise AI workloads will operate on tailor-made hybrid infrastructures, enabling faster value realization while balancing performance, cost, and regulatory requirements. In line with this transformation, FPT AI Factory offers scalable GPU infrastructure and comprehensive AI development tools, empowering businesses to accelerate model development, training, and deployment without the need for significant investment in physical infrastructure.

Vertical AI: The industry-specific intelligence

Breakthroughs in healthcare 

By 2026, AI in healthcare is moving beyond experimental use cases into real-world, patient-facing applications at scale. According to Dr. Dominic King, Vice President of Health at Microsoft AI, healthcare AI is expanding past diagnostic support into symptom triage, treatment planning, and clinical decision support. Generative AI innovations are transitioning from controlled research environments to products and services accessible to millions of patients and clinicians worldwide. Specifically, 49% see benefits from tech‑enabled patient engagement and remote monitoring.
AI’s growing role in documentation and care planning offers a scalable way to relieve system pressure while improving access and efficiency. Deloitte revealed that 64% of health system leaders expect AI to reduce costs by standardizing and automating workflows. Indeed, across Microsoft’s AI consumer products like Bing and Copilot, 50 million health-related sessions are conducted every day. From a first-time knee-pain query to a late-night search for an urgent-care clinic, search engines and AI companions are quickly becoming the new front line in healthcare.

See how FPT reduced medical documentation time by 50% with AIScribe: Empowering Patient-Centric Care: Cost Down, Productivity Up and Burden Lifted with AI Solution


Towards enhanced experience for banking and finance 

Finance and banking is one of the fastest-moving adopters of vertical AI, with 85% of institutions already using AI in at least one business area. Industry-specific AI models are reshaping financial services across four key dimensions. In finance, hyper-personalization is becoming the norm, with AI-driven insights enabling fully individualized customer interactions - driving up to 92% higher digital engagement and 10–25% revenue growth from tailored offers.
Human-centered conversational AI is evolving well beyond basic chatbots. By understanding tone, intent, and context, modern AI assistants can deliver more empathetic and personalized support, already resolving up to 80% of customer inquiries in banking. This share is expected to exceed 90% by 2026, significantly reducing wait times while saving financial institutions billions in customer support costs.

Stay ahead of the curve with FPT

Backed by over 20 years of experience and a worldwide network of domain experts, FPT enables enterprises to overcome the fundamental challenges that hinder modernization and achieve tangible business results. To speed up this journey, FPT has launched FleziPT - a flexible, enterprise-grade AI platform that brings together the company’s proven approaches to digital and AI-driven modernization. FleziPT is designed to reduce development cycles by up to 60%, cut rework by 50%, and boost developer productivity by 30%. These capabilities are further enhanced through strategic collaborations with global AI leaders including NVIDIA, Microsoft, SAP, AWS, and Google Cloud, alongside a workforce of more than 25,000 AI-enabled engineers.

Find more about FleziPT here: https://fptsoftware.com/flezipt