Glossary

AI Trends

What is AI Trends?

As of October 2026. Technically, the focus is moving from chatbots to AI agents that handle multi-step tasks and use tools via standards such as the Model Context Protocol. According to Crunchbase data, around 64% of global venture funding in Q3 2026 went to AI start-ups. In the EU, obligations for general-purpose AI models have applied since August 2025; deadlines for high-risk systems were postponed to December 2027 and August 2028.

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Trends
Market
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Related terms

AI Adoption Rate

The AI adoption rate indicates what share of companies, employees or households use AI and serves as a measure of how widely the technology has spread. According to Germany's Federal Statistical Office (Destatis), 20% of German companies with ten or more employees used AI in 2024 (2023: 12%). The digital association Bitkom found a share of 36% in 2025 among companies with 20 or more employees. Differing definitions and samples mean studies are only partly comparable.

Statistics
Uptake
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AI Regulatory Framework

An AI regulatory framework comprises the laws, standards and oversight structures governing how AI is developed and used. In the EU, the central law is the AI Act (Regulation (EU) 2024/1689), which takes a risk-based approach: prohibitions have applied since February 2025, obligations for general-purpose AI models since August 2025 and transparency duties since August 2026. Following the “Digital Omnibus” (Regulation (EU) 2026/1744), high-risk obligations apply from 2 December 2027 or 2 August 2028 (as of October 2026; not legal advice).

Regulation
EU AI Act
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Agentic

“Agentic” describes AI systems that do more than answer a single question: they pursue a goal over several steps, plan, use tools such as web search or APIs, check intermediate results and decide what to do next. An example is an assistant that categorises a request, looks up information and prepares a draft reply. Clear boundaries, logging and human approval at critical points are essential.

AI agents
Automation
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Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard that lets AI applications access external tools, data sources and services in a uniform way. An MCP server provides functions, and an MCP client, such as an AI assistant, can call them. Anthropic introduced MCP in November 2024; since December 2025 it has been developed under the Agentic AI Foundation of the Linux Foundation (as of October 2026). This avoids building every integration separately.

interface
standard
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