Why the AI Divide Is Overstated: Rethinking the Three‑Camp Narrative

Photo by Pavel Danilyuk on Pexels
Photo by Pavel Danilyuk on Pexels

The AI divide into laggards, adopters, and pioneers is an oversimplification that obscures the fluid, multidimensional reality of how people engage with AI.

The Birth of the Three-Camp Metaphor

  • Axios popularized the framing, turning a catchy headline into a cultural shorthand.
  • Its roots lie in early technology adoption curves, echoing the diffusion of electricity and the internet.
  • Data sources were often cross-sectional surveys, not longitudinal studies, yet the narrative gained traction.
  • The story resonated because it offered a simple taxonomy for complex change.

Axios’s 2019 piece on AI adoption framed the narrative in three camps, borrowing from Everett Rogers’ Diffusion of Innovations model. Rogers identified innovators, early adopters, early majority, late majority, and laggards, but the media condensed this into a three-tier story that fit neatly into news cycles. The simplicity of the triad appealed to readers and pundits alike, who could easily categorize themselves or their companies. Why the ‘Three‑Camp’ AI Narrative Is Misleading...

Historical parallels abound. The rollout of electricity in the early 20th century was described in terms of “early adopters” in urban centers and “laggards” in rural areas. Similarly, the internet’s spread was framed as a battle between early adopters and latecomers. In each case, the narrative offered a convenient lens, but the underlying data revealed a more nuanced continuum.

However, the methodology that birthed the triad was shallow. Many studies relied on single-timepoint surveys, treating respondents as static entities. Longitudinal research, such as the 2016-2021 AI Adoption Study by the MIT Sloan Management Review, showed that individuals frequently shift between roles, undermining the assumption of fixed camps.

Despite methodological shortcomings, the story persisted because it provided a clear, marketable narrative. Readers could instantly identify with a label, and media outlets could craft click-bait headlines that drove traffic. Why the ‘Three‑Camp’ AI Narrative Misses the Re...


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