AI in Management: Replacing Humans or Transforming How We Work?

Every time new technology arrives, an old fear always resurfaces: will machines take over human jobs? That question has now returned with a new face called artificial intelligence (AI). The difference this time is that the discussion is not just about factory workers or shop cashiers, but also managers and organisational leaders. A space once considered the exclusive domain of humans is now being touched by algorithms.

Data shows how rapidly this change is occurring. The PwC Workforce Hopes and Fears 2025 survey for Indonesia noted that the majority of workers in the country have used AI in the past year. The Cisco AI Readiness Index even states that almost all companies in Indonesia have made AI a strategic priority, with the main impetus coming from the board of directors and management level, not the technical level. A Microsoft survey also found that almost all business leaders in Indonesia are considering new roles related to AI, a figure higher than the Asia Pacific average. This data confirms one thing: AI in management is no longer a future discourse, but a reality unfolding today.

Its connection to management science is fundamental. In classical theory, a manager performs three groups of roles simultaneously: interpersonal roles such as leading and motivating, informational roles such as gathering and disseminating data, and decisional roles such as allocating resources. AI, with its ability to process vast amounts of data, is essentially invading the second domain, the informational roles that have long consumed much of a manager’s time. It sifts through thousands of job applications in minutes, predicts which employees are at risk of leaving, compiles the most efficient work schedules, and even recommends promotions based on past performance patterns. What remains for humans are the interpersonal roles and some decisional roles involving values and risk.

A concrete example can be seen in Indonesia’s banking sector. Bank Central Asia (BCA) is noted as the first bank in Southeast Asia to achieve ISO/IEC 42001 certification for its AI management system, an international standard governing the responsible use of AI. BCA’s management asserts that its AI applications, from credit reviews to data annotation, still place humans as the final decision-makers, an approach known as human-in-the-loop. Bank Jago similarly emphasises that all its AI initiatives comply with the guidelines of the Financial Services Authority (OJK). These examples illustrate a common pattern: AI takes over data processing, while decisions affecting people’s fates remain in human hands.

It is natural for anxiety to arise amid this trend. If machines can screen applicants, arrange schedules, and assess performance, what need is there for human managers? Some global technology companies have even announced the downsizing of middle management layers alongside the adoption of AI-based automation. For many, this feels like the beginning of the end for the management profession, replaced by dashboards and algorithms that work tirelessly, without leave, and without emotion.

However, in my observation, that picture is too simplistic. AI indeed excels at processing large amounts of data, but management is not merely about processing data and making number-based decisions. Management is about humans managing other humans, complete with complexities, motivations, and emotions that cannot always be summarised into variables in a model. Imagine an employee whose performance declines not because of laziness, but because they are facing a serious family problem. The performance data might show a drop in productivity, and an algorithm might recommend a warning or even termination. Yet a perceptive manager will look beyond the numbers, asking questions, listening, and considering context that no system can capture. It is at this point that human empathy and ethical judgement are difficult for machines to replace, and indeed, I believe, this is where the true value of a leader lies.

I personally believe that excessive worry about AI in management often stems from a framing error. We tend to compare AI to an ideal, all-knowing, and tireless manager, when in reality many managerial decisions have long been far from perfect, full of bias, and reliant on sometimes flawed intuition. If used wisely, AI can actually serve as a mirror showing the weaknesses in how we manage organisations, rather than just an external threat.

What is more realistically happening is not total replacement, but a change in the division of roles. Administrative and repetitive tasks, such as scheduling or compiling routine reports, are gradually being taken over by AI. However, this opens up space for managers to focus on things that demand full human presence: guiding, motivating, resolving conflicts, and building a healthy work culture. Microsoft even refers to this phenomenon as the birth of the ‘Frontier Firm’.