Leadership did not begin with AI, and neither did the argument about what leaders are for. A board member, a chief executive, a regional director or a team lead who asks what AI does to the role inherits a century of answers to an earlier question: how should people who answer for an organisation organise themselves to do it? This chapter sets out those answers as the baseline against which Chapters 5 to 12 measure change. It concerns all five leadership functions defined in Chapter 4: L1 Orient, L2 Decide, L3 Organise, L4 Enable and L5 Answer. Each of the models below was, among other things, a theory about one or more of them, and each was shaped by something that was scarce at the time.
The chapter makes one argument that the rest of the book relies on. Every model of leadership is a response to a scarcity: of predictability, of efficient effort, of motivation, of information, of coordination, of trust. When AI makes a scarcity cheaper, the part of the role that existed to relieve it is the part that changes. The parts that answered to something else stay, and may weigh more because they are what is left.
Three reasons make the history useful here, and none of them is completeness. The first is that the fears and hopes attached to AI in leadership repeat older ones. Claims that software will replace managers echo claims about the scientific manager and the flat organisation, and the earlier outcomes are evidence, even where they are weaker than the stories told about them. The second is that the existing structure of an organisation is a fossil record. A delegation order, an authority matrix, a span of control or a job description carries the assumptions of the model that produced it, and an organisation cannot redesign what it cannot read. The third is that the history shows which of a leader's tasks were always bundled by accident. When a task was done by the manager only because nobody else could route the information, it can be unbundled. When it was done because a person had to answer for it, it cannot.
Primary topics explored
- Why start with the past
- A lineage of leadership models
- The scarcity behind the shape
- What managers actually do
- Self-managing teams and flat experiments
- A pre-AI role description and a charter as code
About AI Leader
AI Leader is Book 11 of The Transformed Architecture. It takes leadership as its subject and asks what happens when AI is used broadly: the five leadership functions (orient, decide, organise, enable, answer), the delegation ladder and the Level 4 prohibitions, the answerability principle (name, explain, reach), the span and the middle layer, human-agent work, the board and the management body, change and adoption as claims that need evidence, regulation (the AI Act, DORA, NIS 2, the GDPR), ethics and sovereignty, and the leader as a person, for European enterprises and public authorities.
It builds on the conclusions of Architecture as Code, AI Governance, AI Platform and Security, AI Red Team, AI Threat, The Transformed Security Architect, AI Boss, AI Blue, AI Purple and AI Operations.
chairs and members of boards, chief executives and executive teams, the changing C-suite, middle managers and first-line leaders, heads of public authorities and the politicians who oversee them, HR specialists, works councils and unions, architects who advise leaders, and supervisors and auditors.
Gunnar Nordqvist
Conceived, directed and published the books of The Transformed Architecture.
Continue with the full chapter
Chapter 2: What Leaders Did Before: Hierarchy, Management Science, Agile and Servant Leadership in AI Leader gives the detailed explanations, practical examples and implementation patterns behind this summary.
This whitepaper belongs to “The Leadership Role in Question” and is one of 37 drawn from the manuscript.