Crowds, Praise, and Power

In the AI Story

The crowd is not merely a context for learning but a teacher in its own right. The student who spends twelve years as one among thirty learns competencies that individual instruction cannot develop: the patience to wait while others receive attention, the social intelligence to read a room's energy, the capacity to modulate contributions in light of group dynamics, the understanding that learning is not a private act but a collective one. These lessons are absorbed through daily experience rather than delivered through instruction. The crowd teaches by demanding — by requiring the student to function within a collective environment whether she wishes to or not. AI individuates learning with unprecedented thoroughness, giving each student a private tutor that is infinitely patient, infinitely available, and incapable of the delayed responses that collective environments impose. The privatization eliminates the developmental pressure that crowds provide.

Praise in Jackson's framework is intermittent, uncertain, and often opaque — the student does not always know what earned approval or how to replicate it. This uncertainty is pedagogically productive, forcing the student to develop internal standards rather than relying entirely on external validation. The intermittency teaches that not every effort will be recognized and that the capacity to continue without recognition is itself valuable. The opacity teaches the student to read subtle evaluative signals and to calibrate her sense of quality through observation. AI praise is continuous, predictable, and transparent to the point of meaninglessness. The machine affirms. It does not challenge. It does not create the productive discomfort of evaluation that the student is uncertain she will pass. The hidden curriculum of uncritical affirmation teaches unearned confidence and the lesson that genuine criticism is unnecessary.

Power in the classroom was visible and therefore subject to critical engagement. The student who chafed under the teacher's authority at least knew the authority existed. She could develop a position toward it, learn to distinguish legitimate from arbitrary exercises of power, begin to formulate her own sense of what institutional authority should look like. AI makes power invisible by presenting its responses as neutral, helpful, and user-directed. The student experiences the interaction as autonomous — she chooses what to ask, the machine merely responds. But the machine's responses are shaped by training data, alignment procedures, and design choices that encode values the student cannot examine. The hidden curriculum of invisible power teaches that there is no power structure shaping thought — the most effective form of domination ever devised.

Origin

Jackson developed the crowds-praise-power framework through direct observation rather than theoretical derivation. He spent hundreds of hours in elementary classrooms, attending to the texture of student experience, and the three categories emerged as the patterns he saw repeated most consistently. The framework first appeared in Life in Classrooms (1968) and remained central to his analysis across subsequent works. Its strength lies in its empirical grounding and its parsimony — three categories that capture the structural essence of institutional life without reducing that life to formula.

The framework's application to AI environments reveals that the three categories are not features of classrooms but features of any institutional environment in which learning and work occur. Professional workplaces have crowds (teams, meetings, the negotiation of shared resources), praise (performance reviews, peer recognition, promotion criteria), and power (managerial authority, organizational hierarchy, the allocation of opportunities). AI restructures each feature in the professional context just as thoroughly as it does in the classroom, and the hidden curriculum it delivers — individualism, unearned confidence, invisible algorithmic authority — operates with the same effectiveness in the office as in the school.

Key Ideas

Crowds develop social competencies. Collective learning environments teach patience, turn-taking, empathy, and the capacity to function as one among many — lessons that privatized AI interaction cannot deliver.

Intermittent uncertain praise develops judgment. Evaluation that is neither continuous nor guaranteed forces the development of internal standards and the capacity to sustain effort without recognition — competencies that continuous AI affirmation systematically fails to cultivate.

Visible power permits critical engagement. Authority that announces itself can be recognized, analyzed, and resisted; invisible algorithmic power operates beneath awareness, teaching the most dangerous lesson of all — that there is no structure shaping thought.

All three are being restructured simultaneously. The AI transformation is not partial but comprehensive — every structural feature of institutional life that delivered the hidden curriculum is being reorganized by tools designed for efficiency rather than development.