The AI value gap: why AI works but doesn’t always create value
Artificial intelligence works. It analyzes documents, generates content, synthesizes information, detects anomalies, automates certain tasks and is now beginning to act through agentic systems capable of chaining multiple operations. Yet as these capabilities advance, another question becomes central: Why do companies with high-performing AI technologies not always manage to transform this technological power into measurable...
Customer service: the real question is no longer how much to automate, but where to stop
Companies are seeking to automate their customer relationships more and more. Yet, the automation rate should not be an objective in itself. As artificial intelligence absorbs simple requests, it concentrates complex situations in human hands. The real challenge is therefore no longer just knowing what technology can automate, but deciding where automation should stop. This...
AI Agents: The Great Industrial Shift Is Underway
Report "AI Agent Trends To Watch in 2025" — CB Insights The Age of Autonomous Agents Has Begun 2025 marks a strategic turning point in the recent history of artificial intelligence. Following the first generation of generative "copilots," AI agents are taking over: systems capable of carrying out complex tasks autonomously, with minimal human intervention....
McKinsey and Its 25,000 AI Agents: Hybrid Workforce or PR Operation?
A Figure That Demands Clarification McKinsey claims "60,000 employees," including "25,000 AI agents." This formulation, reported by LeMagIT (study: "McKinsey: 60,000 employees, including 25,000 AI agents"), doesn't merely describe technological adoption. It stages a change in scale and status of AI within the organization. Speaking of "agents" as a segment of "employees" shifts AI from...