AI Trends 2025–2026

Agent-Based Systems and Autonomy

The most significant trend of 2025–2026 is the shift from individual AI queries to agent systems that execute multi-step tasks autonomously. AI agents can launch tools, read databases, write code, and iterate on their solutions without continuous human guidance. In software development, this is already visible — Claude Code, Cursor Agent, and similar tools build entire features from a single instruction. Organizations must prepare for agents operating in business processes as well, not just development environments.

Multimodal Models and RAG Architectures

Language models are expanding beyond text to process images, audio, and video within the same model. For businesses, this opens new possibilities in automated document processing, technical documentation, and visual quality control. Meanwhile, RAG architectures (Retrieval-Augmented Generation) are maturing to production level, enabling secure integration of language models with an organization's own knowledge base. Softagram closely follows these developments and evaluates their applicability to our clients' use cases.

Model Distillation and Specialization

Another major trend is the growing adoption of model distillation and fine-tuning. Instead of every task requiring the largest possible model, organizations can train smaller, specialized models for their specific use case. This improves performance, cost efficiency, and security, as data can remain entirely within the organization's own environment. In software development, specialized code models are already competitive with general-purpose models for specific tasks, and this trend continues to strengthen.