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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 measures. Once its…

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 the number of automated…

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 routine coordination,…

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 decisions. Research described…

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 fully remote work as the…

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 and decision support. A…

AI saves time on individual tasks, but companies often fill it immediately with more work

Faster analysis, summaries and communication can raise output, but they can also raise expectations…

Middle management is shrinking and the same role may not return; experience needs to be used differently

Automation of coordination work and flatter structures are changing traditional management…

Hybrid work does not reduce engagement by itself; the problem is often rules designed for the traditional office

Hybrid employees combine work and personal responsibilities differently from people in a traditional…