Abstract
This working paper argues that education remains a scalable route to middle-class stability as AI changes the labor market. It contrasts broad human-capital pathways with highly concentrated platform success, and proposes foundational skills, AI and data literacy, and lifelong re-skilling as forms of economic infrastructure.
What the paper examines
- The paper distinguishes repeatable education and capability pathways from exceptional creator or platform outcomes that are difficult for most people to reproduce.
- AI is framed as an amplifier of existing human capability rather than a substitute for the institutions that build judgment, competence, and opportunity.
- Its policy proposals connect schooling, adult learning, employment, and tax design to the question of whether technological change expands practical agency.
Publication boundary
This document is presented as a public reading copy connected to the Independent Observer program. Its source trail and status remain visible so readers can distinguish a working preprint from a released publication.
This Volume IV entry connects AI to the social infrastructure needed to use it. The site publishes the public synopsis and SSRN link, not the matching source PDF or manuscript text.
The public SSRN record lists 40 downloads and 202 abstract views in the indexed snapshot checked on 30 August 2026. The title's claim that education is the only scalable path is the paper's thesis, not an established universal law; education quality, labor markets, disability, geography, family resources, and other pathways also require analysis.
References
- SSRN Harsh Wardhan, Siddhartha, The Lottery of Luck: Why Education Remains the Only Scalable Path to Middle-Class Stability in the AI Economy (2025), SSRN abstract 5663111.Open source ↗
Source notes
- Matched to a Volume IV working paper and its public SSRN record.
- The catalogue keeps the paper's strong thesis visible while labeling it as an argument open to testing.
Limitations and unresolved boundaries
- The paper is a working paper, not a forecast of every worker's outcome in an AI economy.
- Education effects vary with field, quality, cost, labor demand, geography, and access to complementary support.
- Usage metrics are not peer review or a measure of social impact.
Suggested citation
Siddhartha Harsh Wardhan. “The Lottery of Luck: Why Education Remains the Only Scalable Path to Middle-Class Stability in the AI Economy.” Independent Observer, 1 December 2025.