By David De Cremer
AI's impact on organisational leadership
Subject
Themes
The rise of artificial intelligence presents one of the most significant challenges to organisational leadership in modern history. Since AI's formal inception at the 1956 Dartmouth conference, expectations about machine capabilities have oscillated between wild optimism and profound disillusionment. The field stalled for decades until deep learning produced a breakthrough: in 2016, Google DeepMind's AlphaGo defeated the world champion at Go, a game long considered beyond the reach of machines. That victory signalled a new era in which algorithms could outperform humans in tasks previously thought to require uniquely human intelligence.
The rise of artificial intelligence presents one of the most significant challenges to organisational leadership in modern history. Since AI's formal inception at the 1956 Dartmouth conference, expectations about machine capabilities have oscillated between wild optimism and profound…
Published in 2020 by Harriman House, Leadership by Algorithm arrived at a pivotal moment in the discourse surrounding artificial intelligence and organisational management. David De Cremer, a behavioural scientist and management scholar based at the National University of Singapore, brought an…
One of the most consequential arguments concerns the fundamental difference between management and leadership, and why this distinction determines where algorithms can and cannot contribute to organisational life. Management and leadership are routinely conflated in business discourse, but they…
Trust is identified as a non-negotiable precondition for effective leadership. People voluntarily engage in open, co-operative relationships only with leaders whose identity they can trust, and without that trust, no genuine leadership influence can develop. This requirement creates one of the most…
Rather than framing the relationship between humans and algorithms as a zero-sum competition where one side wins and the other loses, a co-creation model proposes that both can work together to achieve outcomes neither could reach independently. This model represents a fundamental shift from the…
A recurring argument positions ethical judgment as the quality that most decisively separates human leadership from algorithmic management. Algorithms excel at optimisation, identifying the most efficient path to a predefined goal. But optimisation without ethical awareness can produce outcomes that…
Running beneath the practical arguments about management, leadership and organisational structure is a deeper existential question: what happens to human identity when machines can do everything humans can, only better and faster? René Descartes' distinction between body and mind provides a…
Artificial intelligence is not a new phenomenon. The concept first appeared in 1956 at the Dartmouth Summer Research Project in New Hampshire, where pioneers such as Marvin Minsky, John McCarthy and Nathaniel Rochester laid the intellectual foundations for the field. Early optimism ran high. Herbert…
If machines are to become leaders, they need followers. Naqvi observes that "the need of the machine could not be fulfilled without getting the followers to co-operate." Humans, with their obsession to maximise the potential of technology, are the most likely candidates to fill that follower role.…
Algorithms already drive the machines used in daily routines, from ordinary computers to complex autonomous systems, yet many people have no clear understanding of what algorithms actually are. This gap in knowledge is deeply problematic, because businesses are rushing to embrace algorithmic…
Management and leadership are routinely used interchangeably in business, but they could not be more different in function. Understanding this distinction is essential to identifying where algorithms fit within organisational hierarchies and where they do not. Management is fundamentally about…
Data has become the new oil for organisations. Companies have amassed enormous quantities of employee and operational data, and business strategies now centre on data management combined with evidence-based execution. Employees spend increasing amounts of time managing their own data files,…
Data is king in organisations, but data alone cannot lead. Algorithms can create transparency by identifying trends and patterns that inform strategic decisions, and they can serve capably as advisors. However, interpreting that information in line with human values and priorities is a fundamentally…
Empowerment takes on entirely new dimensions when algorithms enter the workplace. Traditionally, empowerment has meant leaders enabling others to perform at their best, making the world go round by developing people's capabilities and confidence. In the AI era, this concept splits into two…
Modern organisations increasingly structure work around networks of teams. In an interconnected world, people collaborate in virtual groups to achieve goals they cannot reach alone. Teams bring diversity of ideas, respond quickly to complex challenges and distribute ownership across multiple people.…
Leadership is the currency that makes organisations survive over time, and data has become a second currency driving organisational success. As algorithms grow more capable, the risk intensifies that humans become too dependent on algorithmic advice, potentially ending up led by algorithms rather…
AI has been elevated to near god-like status. Lloyd Blankfein, chairman and chief executive of Goldman Sachs, once said that bankers do the work of God. Now algorithms seem to be taking over that role too. They process vast data at high speed, reveal hidden trends and make decisions void of…
By David De Cremer
Subject
Themes
The rise of artificial intelligence presents one of the most significant challenges to organisational leadership in modern history. Since AI's formal inception at the 1956 Dartmouth conference, expectations about machine capabilities have oscillated between wild optimism and profound disillusionment. The field stalled for decades until deep learning produced a breakthrough: in 2016, Google DeepMind's AlphaGo defeated the world champion at Go, a game long considered beyond the reach of machines. That victory signalled a new era in which algorithms could outperform humans in tasks previously thought to require uniquely human intelligence.