The historical parallel between digital literacy's rise and AI fluency's current trajectory is instructive — not because the technologies are identical, but because the adoption pattern rhymes closely.
The digital literacy precedent
A generation ago, basic computer and internet skills went from specialized to universally expected across nearly every job category — a shift that took roughly a decade to fully play out.
AI fluency is following a similar arc, compressed
The core pattern — a new capability moves from "nice to have" to "assumed baseline" — is repeating with AI, but happening over a much shorter timeframe given how quickly the tools have matured and spread.
The people left behind in the digital literacy shift offer a warning
Workers who didn't adapt to basic digital tools a generation ago faced a genuinely narrowing set of opportunities — not because they lacked talent, but because a baseline expectation had shifted without them.
What this means for institutions, not just individuals
Just as schools eventually made digital literacy a core part of education rather than an elective, AI fluency is likely headed the same direction — institutions that move early are preparing students for where the baseline is headed, not just where it is today.
The actionable takeaway
Treating AI fluency as optional right now carries the same long-term risk that treating digital literacy as optional carried a generation ago — worth taking seriously well before it becomes unavoidable.