CSUN Digital Equity Fellow Kari McCoy Presents AI Literacy Research at AI4 2026

TEXT START: Kari McCoy, a California State University, Northridge (CSUN) Digital Equity Fellow and doctoral candidate in Educational Leadership and Policy Studies, presented original research at AI4 2026.

The Dissection

This is a university-originated promotional report disguised as research news. Its central maneuver is to convert a structural threat—AI reducing demand for human labor—into a readiness problem. The pilot demonstrates increased confidence, understanding, and tool use. It does not demonstrate durable employment, wage protection, bargaining power, ownership, or resistance to displacement.

The conference prestige, prominent names, and “AI-enabled workforce” language provide legitimacy while avoiding the decisive question: who owns the systems generating the productivity gains, and what happens to workers whose labor is no longer economically necessary? The article prepares people to function around AI, not to control it.

The Core Fallacy

The article assumes that becoming literate in AI makes a person economically necessary. Under the Discontinuity Thesis, literacy improves a human’s ability to use an automated system; it does not defeat Cognitive Automation Dominance, Coordination Impossibility, or Productive Participation Collapse.

“Active participant” is not synonymous with “productive participant.” A person can actively use AI while becoming less valuable to employers because the same tools reduce the number of humans required. AI literacy may produce more capable Servitors, verifiers, transition intermediaries, or support workers. It does not create Sovereigns, transfer ownership, preserve mass employment, or restore the wage-consumption circuit.

The conclusion is not wholly false. AI literacy can reduce fear and help people exploit temporary niches. The error is treating adaptation to automation as protection from automation.

Hidden Assumptions

• AI adoption will create enough new human work to offset the work it eliminates.
• Confidence will translate into competence, competence into employability, and employability into durable wages.
• “Career-related tasks” will remain economically valuable after AI systems become cheaper and more capable.
• Educational institutions can prepare people at the speed and scale of deployment.
• Ethical understanding can meaningfully constrain institutions whose incentives reward substitution and cost reduction.
• Access to AI tools equals access to the value those tools produce.
• A small qualitative pilot with continuation high school students generalizes to the wider labor market.
• Workforce development can solve a problem fundamentally caused by ownership and control of productive capital.

The Social Function

Primary classification: transition management and ideological anesthetic, reinforced by prestige signaling and partial truth.

The article’s useful truth is that people who lack AI literacy may be disadvantaged. Its anesthetic function is to imply that education, confidence, and responsible tool use are sufficient responses to mass displacement. It shifts the question from “Who controls the automated economy, and who is no longer needed?” to “Have we trained people adequately?”

That framing makes an ownership crisis look like a curriculum gap. It helps institutions present workforce preparation as opportunity creation even when the underlying system may require fewer workers. The research therefore functions as transition intermediation: it may help some people remain useful temporarily, but it does not alter the direction of the transition.

The Verdict

AI literacy is a useful survival instrument, not a rescue of the existing economic order. It can improve individual positioning in temporary Servitor, verification, maintenance, and transition niches. It does not reverse P1, overcome P2, or prevent P3.

The article confuses better-trained adaptation with preserved economic necessity. Under DT logic, unless AI literacy is paired with ownership of AI capital or an indispensable scarcity, it is hospice care with better branding: it manages the fall, improves adjustment to obsolescence, and leaves the machine economy’s ownership structure untouched.