Tech Industries is a 300-person enterprise workflow and software company whose competitive advantage has historically depended on both technical product capability and the implementation work required to help customers adopt and use its systems. As artificial intelligence (AI) reshapes the relative value of different forms of expertise, founder and CEO Jim Reynolds must decide how to allocate $2 million in protected AI capacity over 18 months. One proposal concentrates investment among a smaller group of technical employees to accelerate product differentiation; the other distributes AI capability more broadly to strengthen implementation, adoption, and workforce adaptability. The decision is complicated by existing functional differences in status and influence and uncertainty about which capabilities will create durable advantage. It also raises questions about opportunity: who gains access to consequential AI work, how much developmental depth that access provides, and how today’s allocation choices may shape future expertise, advancement, workforce composition, and organizational identity. Students evaluate these tradeoffs and justify a consequential leadership decision under incomplete evidence and competing conceptions of fairness.
Tech Industries: AI, Equitable Opportunity, and the Future of Work
by: Ahmmad Brown, Amie Ninh, Christopher I. Rider
Publication Date: October 21, 2026
Length: 22 pages
Product ID#: 7-291-115
Core Disciplines: Information - Technology & Management, Leadership/Organizational Behavior, Strategy & Management
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Description
Teaching Objectives
After reading and discussing the material, students should:
- Analyze how technological change can reshape organizational structures, workforce needs, and the relative value of different forms of expertise.
- Assess how organizational identity, leadership assumptions, and institutional history shape strategic choices under technological change.
- Examine how organizational structures, routines, and resource allocation decisions can unintentionally create unequal patterns of opportunity and influence.
- Evaluate competing conceptions of fairness in organizational decision making, including tensions among equal treatment, equal opportunity, strategic investment, and organizational performance.
- Make and justify leadership decisions under conditions of ambiguity in which evidence is incomplete, and available options involve meaningful tradeoffs.