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...
Not All Data Is Created Equal: Artificial Intelligence Is No Excuse for Mediocrity
The observation is now shared by data departments, business units, and software vendors: the era of massive accumulation is over. In AI systems, raw data no longer has value in itself. It must be structured, qualified, governed, and situated within a precise context of use. Two converging perspectives demonstrate this: the DQE white paper on...
Satya Nadella Warns of an AI Bubble: An Economic Issue, Not a Technological One
A Structural Warning, Not a Technical One At Davos in January 2026, Satya Nadella issued a warning that contrasts sharply with the prevailing enthusiasm surrounding AI. According to him, the real risk of a bubble lies not in the models themselves, but in the concentration of benefits within a few dominant players. What's at stake...
Artificial Intelligence: French Leaders Face ROI Disillusionment
81% of French leaders declare that artificial intelligence has had no effect on their company's revenue in 2025. This figure, drawn from PwC's latest global survey (Global CEO Survey 2026), sounds like a wake-up call. Not about the technology itself, but about the ability of French companies to extract measurable value from it. Beyond the...
AI Slop: When Algorithmic Overproduction Saturates the Information Space
The term AI Slop has become established in public discourse within just a few months, to the point of being named Merriam-Webster's "word of the year" for 2025. It describes a phenomenon now visible at scale: the proliferation of AI-generated content, mass-produced, of mediocre quality, and massively disseminated by digital platforms. Spectacular yet interchangeable images,...
When humans meet AI: what do usage patterns really reveal?
By Pascale Caron — for EntrepreneurIA Analysis of the HBR study « Making Sense of Research on How People Use AI », published in November 2025 A quiet but profound turning point What are users actually doing with AI? That's the question Marc Zao-Sanders raises in a recent op-ed published by the Harvard Business Review....