Trend Self-working AI agents reshape the future through collaboration and automation
Summary
Where earlier generative AI mainly answered user requests, the report sees AI evolving into action-oriented systems that set their own plans and complete tasks. Better reasoning and planning give generative models the capacity to act as the brain of AI agents. Agents are expanding into the role of digital employees that carry out whole processes such as data collection, analysis and report writing on their own. Unlike rule-based process automation and simple chatbots, they can handle unstructured data and decisions, automating entire workflows. Multi-agent systems in which several small agents divide complex work are rising, and orchestration platforms that manage them are expected to grow quickly.
Classification
Evidence 1
- 한국지능정보사회진흥원(NIA) NIA가 전망한 2026년 12대 AI·디지털 트렌드 한국지능정보사회진흥원(NIA) no link — bibliographic entry p. 16 2025-12-31 accessed 2026-09-30
Observed signals 5
- SignalAI agent market projected to grow from 7.6 billion dollars in 2025 to 139.1 billion in 2033
- SignalAI and big-data-as-a-service markets projected to grow roughly 28 to 39 percent a year
- SignalCognition's Devin illustrates agents that autonomously run whole software projects
- SignalGartner expects 40 percent of enterprise applications to integrate task-specific AI agents by end of 2026
- SignalShanghai AI Lab quietly ships 744B-parameter agentic model Atria Dawn Preview
Part of issues 2
- IssueAI-driven labour market upheaval and deepening polarisation2 trends · 1 signals
- IssueProductivity gaps from uneven AI agent adoption and Korea's agent ecosystem policy1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-00b6fb51e3ae
