Overlapping Transitions

In the AI Story

Bridges anticipated overlapping transitions in his late-career writing but did not develop the concept systematically, because the business environment he studied rarely produced them. Most organizations in the 1980s and 1990s experienced significant changes every few years — sufficient time for one transition to complete before the next began. The exception was merger-intensive industries, where firms underwent multiple acquisitions in quick succession. Bridges observed that workers in these environments exhibited a syndrome he called 'transition exhaustion': the capacity for adaptation was depleted not by any single transition but by the accumulation of transitions whose psychological demands exceeded the available recovery time. The workers became numb, cynical, unable to invest emotionally in any organizational change because emotional investment had repeatedly been punished by the next destabilization.

The AI industry is producing overlapping transitions as the default condition, not the exception. A developer who begins adapting to Claude Code's capabilities in December 2025 is still forming a provisional identity around those capabilities when new model releases in March 2026 expand what the tool can do, destabilizing the identity that was beginning to coalesce. The cycle repeats. Each model improvement, each new capability, each organizational restructuring to leverage the new capabilities initiates a new ending-neutral-zone-new-beginning cycle while the previous cycle is still in progress. The developer is juggling four or five simultaneous transitions at different stages of completion. Some days she is in the ending phase for one identity, the neutral zone for another, and a premature new beginning for a third. The psychological load is not additive but multiplicative, because each unfinished transition contaminates the others. The grief from one ending spills into the neutral zone of another. The ambiguity of one neutral zone amplifies the anxiety of the next. The result is what the Berkeley researchers documented: intensification without depth, productivity without meaning, engagement that looks real on dashboards while the person inside the engagement is slowly disappearing.

Origin

The concept is implicit in Bridges's framework but was never fully theorized because the environmental conditions did not require it. The William Bridges — On AI simulation extends the framework into territory Bridges himself did not map, asking what happens when the baseline assumption (transitions are discrete and sequential) no longer holds. The answer, derived from Bridges's principles, is that overlapping transitions produce a chronic form of the neutral zone — permanent liminality — which the human psyche can sustain only with institutional support that current organizations are not providing.

Key Ideas

The AI era initiates transitions faster than they can complete. Each capability advance destabilizes the identity formed in response to the previous advance, producing a cascade of unfinished psychological processes.

Incomplete transitions compound. Each unfinished ending, each abandoned neutral zone, each shallow new beginning increases the psychological load of the next transition, producing exponential rather than linear growth in transition deficit.

The symptom is chronic neutral zone. Workers are perpetually between identities, always uncertain, always exploring, never arriving at the stable self-concept that provides psychological rest and recovery.

Adaptive capacity is finite. The human psychological system can sustain a bounded number of simultaneous transitions; beyond that threshold, the system does not adapt but depletes, producing the grey flattening characteristic of burnout.

Permanent transition infrastructure is required. Organizations cannot resolve overlapping transitions through discrete interventions; they must build continuous support structures that assume transition is the ongoing condition rather than the occasional disruption.