Employees work faster with AI, but the company may not earn more. The link between personal time savings and business results is missing Higher individual productivity does not automatically mean higher company performance. Data cited by Forbes show a substantial gap between people who perceive…
Manager assessment may change: knowing how to use AI will not be enough; what matters will be how leaders design work with it Knowledge of AI tools is quickly becoming a basic expectation. For company…
Bad data are not an IT department problem. The error often begins in the process that creates the information Most leaders approached at an INSEAD forum refused to bet their own bonus…
Companies are finding that AI will not fix a bad process. Automation can simply accelerate a problem that already exists in the organization When a company adds AI to an outdated process, it may not achieve a more…
Employees do not want promises that AI will threaten no one. Leadership should say precisely what it knows and what it does not yet know Uncertainty around AI cannot be removed by a presentation about…
AI is accelerating work faster than companies are changing their organizations. The result can be more output but worse decision-making A company can give employees access to ever more capable AI and still fail…
A manager who lets AI write everyday communication can save time while weakening their own credibility AI can quickly prepare an email, announcement or feedback. For a manager,…
AI can already recommend firing an employee. But responsibility cannot be hidden behind an algorithm’s decision An AI system can monitor attendance, allocate shifts or recommend personnel…
Technology does not just automate tasks. It can change the number of managers, the distribution of decisions and the shape of the company The impact of technology on company management cannot be measured only by…
AI can flatten the corporate hierarchy. At the same time, it can remove the work on which future managers learned to make decisions When AI systems take over data gathering, report preparation and part of…
AI can crowd important context out of decision-making. People then supervise the system less than they realize Combining human judgment with AI does not automatically produce better…
The office-work debate is settling around hybrid models, but companies have different operational reasons for using them Business leaders have not converged on either full office attendance or…
Delegating work to AI requires the same discipline as delegating to people, plus risk-based controls AI use in companies is moving from simple text generation toward analysis…
