Technology Bubble Dynamics

This interactive causal loop diagram models the feedback loops that drive technology bubble formation and collapse, with specific examples drawn from quantum computing investment. Each node represents a key variable in the bubble dynamics system, and directed edges show causal relationships with polarity indicators showing whether one variable reinforces (+) or dampens (-) another.

Understanding Bubble Feedback Loops

Technology bubbles are not random events. They follow predictable patterns driven by reinforcing loops that inflate expectations and balancing loops that eventually bring reality back into focus. The challenge for investors and policymakers is that the reinforcing loops operate quickly and visibly, while the balancing loops operate slowly and are often dismissed until it is too late.

View Technology Bubble Dynamics MicroSim Fullscreen

Click any node to highlight its direct causal connections and see a quantum-computing-specific example in the right panel. Hover over edges to reveal the causal mechanism labels. Use the filter buttons at the bottom to isolate reinforcing loops (which accelerate the bubble) or balancing loops (which eventually correct it). The six node colors represent different categories: triggers (blue), amplifiers (orange), financial dynamics (green), resource effects (purple), risk factors (red), and outcomes (gray).