When Maslow Met Perplexity™ If Knowledge Is No Longer Scarce, What Happens to Human Motivation?

Abstract AI answer systems can reduce the effort required to obtain explanations, but easier access does not establish that learners understand more or develop greater agency. This paper uses an explicitly fictional encounter between Abraham Maslow and Perplexity to examine that distinction. It returns to Maslow’s account of motivation, while using self-determination theory as a complementary framework for considering autonomy, competence and relatedness. Three concepts are advanced for discussion: cognitive abundance, the AI satisfaction paradox and a hierarchy of becoming. Cognitive abundance describes a situated availability of generated explanations rather than a universal abundance of reliable knowledge. The satisfaction paradox identifies a possible divergence between feeling that a question has been resolved and continuing the inquiry needed for understanding. The hierarchy of becoming provides a non-sequential educational heuristic linking access, understanding, discernment, capability, creation, purpose and self-actualization. These proposals are not attributed to Maslow and are not presented as validated constructs. The paper develops competing predictions and a feasible evaluation design, with attention to access, learner differences and the distinction between assisted performance and transferable learning. It concludes that educational design should investigate when AI assistance supports further inquiry and when it encourages premature closure. No original participant data are reported.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22833575
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

When Maslow Met Perplexity™ If Knowledge Is No Longer Scarce, What Happens to Human Motivation?

Samuel L . Gittens Jr
Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

When Maslow Met Perplexity™ If Knowledge Is No Longer Scarce, What Happens to Human Motivation?

Samuel L . Gittens Jr
article en

Abstract

Abstract AI answer systems can reduce the effort required to obtain explanations, but easier access does not establish that learners understand more or develop greater agency. This paper uses an explicitly fictional encounter between Abraham Maslow and Perplexity to examine that distinction. It returns to Maslow’s account of motivation, while using self-determination theory as a complementary framework for considering autonomy, competence and relatedness. Three concepts are advanced for discussion: cognitive abundance, the AI satisfaction paradox and a hierarchy of becoming. Cognitive abundance describes a situated availability of generated explanations rather than a universal abundance of reliable knowledge. The satisfaction paradox identifies a possible divergence between feeling that a question has been resolved and continuing the inquiry needed for understanding. The hierarchy of becoming provides a non-sequential educational heuristic linking access, understanding, discernment, capability, creation, purpose and self-actualization. These proposals are not attributed to Maslow and are not presented as validated constructs. The paper develops competing predictions and a feasible evaluation design, with attention to access, learner differences and the distinction between assisted performance and transferable learning. It concludes that educational design should investigate when AI assistance supports further inquiry and when it encourages premature closure. No original participant data are reported.

Zenodo (CERN European Organization for Nuclear Research)
Community College of Philadelphia (US)
Openalex Percentile: Top 8%
Intelligent Tutoring Systems and Adaptive Learning
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