Tag: AI and work
Communicating AI to employees: the problem isn’t resistance, it’s how it’s introduced
65% of employees are enthusiastic about using AI at work. Only 3% actively avoid it. Yet 37% don't use it because their colleagues don't. The problem isn't worker resistance: it's the urgency of executives that leads to rushed implementations without considering workforce implications.
Managers and employees don’t use AI the same way
Managers who use AI daily are 3.6 times more productive than their peers. Employees, on the other hand, receive no guidance or support. The AI productivity gap is not a technology problem.
Putting AI on the org chart is a costly mistake
Organizations that place AI agents on the org chart see 15% lower employee engagement. Gartner data on why treating AI as a colleague is a counterproductive strategy.
Your company wants to create a digital copy of you
By 2028, at least one major company will claim the right to create and maintain AI avatars of all its employees. What they are, how they work, and why employment contracts are not yet ready.
They fired them for AI, then called them back
By 2029, 30% of companies that replaced employees with AI will rehire them, often at a higher cost. Gartner data on a strategic mistake that is spreading.
Using too much AI weakens your cognitive abilities
Cognitive offloading through generative AI increases efficiency but reduces working memory, decision-making abilities, and professional identity. Gartner data on a risk that few organizations are managing.
Technical skills have an expiration date
By 2030, the useful life of a technical skill will drop to two years. What changes in the way companies hire, train, and organize work in the age of AI.
