2025 marked a pivotal year for accelerated AI adoption across a wide range of industries. From automation and data-driven decision-making to highly personalized services, AI has already reshaped how organizations operate and innovate. Looking ahead to 2026, understanding the emerging trends that will define the next phase of AI's evolution is essential for businesses seeking to remain competitive. 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.
AI agents will increase productivity for employees at all levels
By 2026, AI agents and agentic workflows will fundamentally reshape how work is performed. Instead of relying on AI as a reactive tool, employees will increasingly delegate tasks to multiple AI agents that collaborate to achieve clearly defined goals. This shift allows human workers at all levels to move away from routine execution and focus more on 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.
A key development that distinguishes 2026 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 approach goes far beyond traditional chatbots by enabling higher-value, function-specific automation across business operations. Through MAS, AI can address large-scale and complex tasks by coordinating hundreds or even thousands of specialized agents working together.
These capabilities are already being 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. Individual agents can specialize in analyzing medical data, managing scheduling, or ensuring regulatory compliance, while the overall system keeps the workflow synchronized.
For the insurance industry, FPT implemented a multi-agent AI solution for a leading 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 a 30% increase in sprint velocity and achieved a 200% improvement in quality through reduced defects, expanded test coverage, and more rigorous testing practices.
Read more about this success story here: 200% Quality Improvement with AI for a Leading Insurer.
AI infrastructure becomes smarter
As AI models grow more advanced, many businesses have traditionally responded by simply adding more computing power, pushing technology providers to build massive data centers to support ever-larger models. However, by 2026, organizations are shifting away from underutilized servers in isolated facilities toward globally interconnected, high-performance systems.
This transition moves AI development toward a leaner, more optimized approach, resembling an "AI superfactory" built as a coordinated grid of efficient, scalable production lines. By leveraging cloud-based AI platforms that intelligently distribute workloads to the most suitable resources, organizations can lower operational costs and minimize energy consumption. At the same time, deploying smaller AI models closer to where data is generated helps reduce latency and cut down on data transfer needs.
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. This trend is expected to persist through 2028, when 75% of enterprise AI workloads are projected to run on tailor-made hybrid infrastructures that help accelerate value realization while balancing performance, cost, and regulatory requirements.
In line with this transformation, FPT AI Factory provides scalable GPU infrastructure and comprehensive AI development tools, enabling businesses to speed up model development, training, and deployment without making significant investments in physical infrastructure.
Vertical AI: The industry-specific intelligence
Breakthroughs in healthcare
By 2026, AI in healthcare is moving beyond experimental pilots into large-scale, real-world, patient-facing applications. 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 shifting from controlled research environments into products and services used daily by 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 ease pressure on health systems while improving access and operational efficiency. Deloitte revealed that 64% of health system leaders expect AI to reduce costs by standardizing and automating workflows.
At the same time, AI is rapidly becoming a new front line for everyday health information needs. Across Microsoft's AI consumer products such as Bing and Copilot, 50 million health-related sessions are conducted every day. From a first-time query about knee pain to a late-night search for the nearest urgent-care clinic, search engines and AI companions are increasingly acting as the first point of contact in the healthcare journey.
To see this shift in practice, FPT has helped reduce medical documentation time by 50% with its AIScribe solution: 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 among 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 multiple dimensions, from customer experience to revenue growth and cost optimization.
In finance, hyper-personalization is rapidly becoming the norm. AI-driven insights enable fully individualized customer interactions, which can drive up to 92% higher digital engagement and 10–25% revenue growth through tailored offers and recommendations.
Meanwhile, human-centered conversational AI is evolving far 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 more than 20 years of experience and a global network of domain experts, FPT helps enterprises address the fundamental challenges that slow down modernization and turn transformation initiatives into tangible business outcomes.
To accelerate this journey, FPT has introduced FleziPT – a flexible, enterprise-grade AI platform that unifies the company’s proven approaches to digital and AI-driven modernization. FleziPT is engineered to streamline delivery and significantly improve efficiency:
- Reduce development cycles by up to 60%
- Cut rework by up to 50%
- Increase developer productivity by up to 30%
These capabilities are further strengthened through strategic collaborations with global AI leaders, including NVIDIA, Microsoft, SAP, AWS, and Google Cloud, together with a workforce of more than 25,000 AI-enabled engineers.
Learn more about FleziPT here: FleziPT – FPT's enterprise AI platform.