The Acceleration of Artificial Intelligence
Rethinking Organisation and Work in an Era of Rapid Technological Change
Key Finding
The pace of AI advancement has outstripped existing organizational theories, requiring a fundamental rethinking of how we conceptualize work, roles, and institutional design.
Overview
This paper addresses the unprecedented acceleration of artificial intelligence and its implications for how we understand organization and work. As AI capabilities advance at a pace that outstrips existing theoretical frameworks, the paper argues for a fundamental rethinking of core assumptions about the relationship between technology, human labor, and institutional design.
Contribution to the Research Program
Within the Cyborg Entrepreneurship framework, this work provides the macro-institutional context for understanding why the human-AI boundary is dissolving. While much of the lab's research examines entrepreneurial decision-making at the individual or firm level, this paper steps back to examine the systemic forces driving the acceleration — and why existing organizational theories are insufficient to explain what is emerging. It connects directly to the lab's interest in how AI transforms not just entrepreneurial reasoning, but the very structures within which entrepreneurship occurs.
Key Insights
- The acceleration of AI is not merely incremental improvement but represents a qualitative shift in the nature of technological change
- Existing frameworks for understanding technology-organization relationships were built for slower, more predictable patterns of change
- New theoretical approaches are needed that can account for the speed, scope, and unpredictability of AI-driven transformation
- The implications extend beyond efficiency gains to fundamental questions about what constitutes meaningful work and effective organization