Скачать или смотреть Agentic AI in 2026: What Enterprises Are Actually Using vs the Promises

Agentic AI promises systems that could act, plan, and manage workflows autonomously, but enterprises are scaling these systems back. Only about 9% of organizations have agentic AI fully in production, with most projects remaining pilots or being constrained due to trust, integration, and governance challenges.

In this video, we explore the gap between hype and reality, showing how AI is being deployed today, why human oversight remains essential, and how workflow design, infrastructure, and monitoring shape adoption. This is a practical reality check for developers, businesses, and investors navigating AI in 2026.

Key Topics Covered:

Agentic AI vs traditional AI assistants
The gap between promises and enterprise adoption
Why AI autonomy is limited in real workflows
Human-in-the-loop and accountability in AI systems
Infrastructure, data quality, and integration challenges
Measuring progress beyond hype
What the next phase of AI adoption looks like

Chapters:
00:00 Introduction: Agentic AI promises vs reality
01:25 What agentic AI is supposed to do
01:50 Why enterprises limit AI autonomy
03:07 Risk, failure modes, and oversight
04:50 How developers design constrained AI agents
06:00 Infrastructure and hybrid approaches
07:03 Measuring enterprise AI success
07:33 The future of agentic AI adoption

Agentic AI, AI digital agents, enterprise AI 2026, AI workflow automation, AI in business, autonomous AI systems, AI integration, AI governance, AI risk management, AI trends 2026

Credits: Illustrations from Vecteezy.com