Jurisdictional Settlement

In the AI Story

Settlements take many forms. One profession may win full jurisdiction over a domain, excluding others entirely. Two professions may divide a domain along functional lines, with one controlling diagnosis and another controlling treatment. A profession may accept subordinate jurisdiction—performing the work under the supervision of another profession that retains ultimate authority. A profession may accept advisory jurisdiction—providing consultation to the profession that holds the operational authority. Each form represents a different resolution of the competitive pressure, and each creates different institutional dynamics for the practitioners who live within it.

The settlement emerging from the AI transition in software engineering resembles a division along the boundary between execution and judgment. AI-augmented practitioners—including those without traditional technical training—are being granted jurisdiction over implementation tasks that previously required specialized expertise. Established developers are retaining jurisdiction over architecture, evaluation, and the judgment-intensive decisions about what should be built and whether it has been built well. This is not the settlement any party would have chosen through professional negotiation. It is the settlement that organizational demand is producing through the aggregate effect of millions of hiring and deployment decisions.

The velocity of this settlement distinguishes it from previous jurisdictional resolutions. Historical settlements typically emerged over decades of gradual accommodation, giving professions time to develop new credentialing paths, revise curricula, and construct the institutional infrastructure that stabilizes the new arrangement. The AI settlement is emerging in months rather than decades, and the institutional infrastructure that would normally stabilize it—educational institutions, regulatory bodies, professional associations—is lagging badly behind the workplace reality. Practitioners are being asked to adapt to a settlement that has not yet been formally recognized.

Abbott's framework insists that settlements are not endpoints but temporary equilibria. The settlement that emerges from the current disruption will itself be subject to future disruptions, as new technologies alter the scarcity landscape and new organizational configurations create new arbitration dynamics. The practitioners who understand this are better positioned than those who treat the current moment as the final resolution of professional evolution. The work of navigating professional transitions is continuous, not episodic.

Origin

The concept of jurisdictional settlement is developed most fully in The System of Professions, where Abbott uses it to analyze the resolution of dozens of historical disputes: between physicians and midwives over childbirth, between psychiatrists and psychologists over talk therapy, between lawyers and accountants over tax work. In each case, the settlement reflected the institutional dynamics of the arbitration process rather than the abstract merits of either profession's claim.

Key Ideas

Multiple settlement forms. Full jurisdiction, division by function, subordinate jurisdiction, and advisory jurisdiction represent distinct resolutions of professional competition.

Institutional arbitration. Settlements are produced by the organizations, states, and courts that decide disputes, not by negotiation between the professions.

Velocity matters. The AI settlement is emerging faster than institutional infrastructure can support, creating adaptation challenges without historical precedent.

Temporary equilibria. Settlements are not endpoints but stable-for-now configurations subject to future disruption.