Digital literacy did not begin as a single idea, definition, or policy framework. Long before the phrase became institutionalized and standardized in education, people were already learning how to operate computers, retrieve electronic information, interpret screen-based media, participate in Internet-connected networks, and understand/use automated systems.
What emerged in the late 1990s and the aughts was not the activity itself, but a new way of classifying heterogeneous practices as a general, teachable, assessable form of skill. The decisive historical change was this: Computing ceased to be treated only as specialist occupational knowledge and began to be treated as a normal condition of education, employment, citizenship, and everyday life.
Increasingly, routine participation in society presupposes some level of digital competence: paying taxes, driving a vehicle, receiving retirement benefits, or accessing health care now often requires navigating online portals, verifying identity through digital systems, or submitting forms electronically. When was the last time you applied to a job using a paper application and pencil? Even disability services and insurance claims increasingly mandate some level of digital interaction, from uploading documentation to managing accounts through web-based platforms.
Calling the resulting competencies a “literacy” gave them the status of a social minimum—something institutions (whether government or for-profit firms) could reasonably expect everyone to acquire. But labeling and schematizing something as a literacy is itself an exercise of cultural and institutional power: it defines which competencies count as basic, who is judged deficient, and who must adapt. In the workplace, the steadily rising baseline of technological competence has repeatedly forced workers to re-skill simply to remain employable, transferring much of the burden of technological change from institutions onto individuals and unpaid labors.
Community colleges also increasingly function as flexible training infrastructures for rapidly shifting labor markets. As employers and industries redefine “entry-level” expectations around digital proficiency, community colleges are tasked with remediating skill gaps or recalibrating to new skill demands as the schematizing cycle now repeats itself with “AI literacy.” Witnessing this repetition makes visible how quickly “literacy” becomes a moving target rather than a stable foundation, as each new technological layer reclassifies prior competencies as insufficient or obsolete. In this sense, AI literacy does not break the pattern of digital literacy so much as intensify it, extending the same logic of continual adaptation into yet another domain of everyday life.
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