The year 2025 marked a turning point for artificial intelligence in the enterprise. According to the latest McKinsey State of AI report, 88% of organizations now report regular AI use in at least one business function, up from 78% just a year ago. But beyond adoption numbers, a more profound shift is underway: the rise of AI agents.
AI Agents Enter the Enterprise
AI agents—systems based on foundation models capable of planning and executing multiple steps in a workflow autonomously—are no longer experimental. The research shows that 23% of organizations are now scaling agentic AI systems somewhere in their enterprises, marking the transition from proof-of-concept to production deployment.
Unlike traditional automation that follows predefined rules, AI agents can understand context, make decisions, and adapt in real-time. This capability is transforming everything from customer service to document processing and business process orchestration.
Market Leadership Shifts
The enterprise AI landscape saw a dramatic shift in 2025. Anthropic emerged as the new leader in enterprise LLM spend, capturing an estimated 40% of the market, up from 24% the previous year. Meanwhile, OpenAI's enterprise share declined to 27% from its previous dominant position of 50% in 2023.
This shift reflects enterprises' growing preference for AI systems that prioritize safety, reliability, and seamless integration with existing business processes—qualities essential for mission-critical automation.
Vertical AI: A $3.5 Billion Opportunity
Perhaps the most significant trend is the explosive growth of Vertical AI—industry-specific AI solutions tailored for sectors like healthcare, finance, legal, and manufacturing. This category reached $3.5 billion in 2025, triple the investment from the previous year.
- AI infrastructure investments reached $18 billion in 2025 (2x growth from 2024)
- Vertical AI solutions tripled to $3.5 billion
- 23% of enterprises are scaling AI agent deployments
- 88% of organizations now use AI in at least one business function
Three Keys to Success
Organizations finding success with AI share three common approaches:
- Back-end first: Leading companies are applying AI to internal operations before customer-facing applications, achieving measurable efficiency gains
- People-centric approach: How organizations support and train their workforce directly impacts AI adoption success
- Problem-led, not tech-led: Companies succeed when they start with business problems, not AI capabilities. Technology should serve strategy, not define it
Looking Ahead to 2026
Industry analysts predict 2026 will be the year AI moves from hype to pragmatism. The focus will shift from building ever-larger language models to making AI usable—deploying smaller, fine-tuned models where they fit, embedding intelligence into workflows, and ensuring systems integrate cleanly into human processes.
Fine-tuned small language models (SLMs) will become a staple used by mature AI enterprises in 2026.
— AT&T Chief Data Officer
What This Means for Thai Enterprises
For organizations in Thailand, these global trends present both opportunities and imperatives. As AI agents become mainstream, businesses that integrate intelligent automation into their workflows will gain significant competitive advantages.
WinnerSoft is at the forefront of this transformation, offering AI-powered solutions including LuminexDoc for intelligent document processing and Nintex workflow automation with agentic AI capabilities. Our solutions help Thai enterprises leverage the latest AI innovations while ensuring seamless integration with existing business processes.
Contact WinnerSoft today to explore how AI agents can transform your organization's operations and drive digital transformation in 2026.
