WHEN AI MAKES WORK FASTER, LEADERS MUST PROTECT HOW PEOPLE GROW

Abstract The author, an alum of Carnegie Mellon University and IIT BHU, is a software engineer at Amazon, where he works on AI‐enabled shopping experiences for Alexa users. While noting the benefits of artificial intelligence, he believes that leaders should ask questions like “When AI can help people draft, analyze, decide, and build faster, what is a leader's responsibility toward the people who are still learning? How do leaders embrace acceleration without weakening the experiences through which people develop judgment?” If leaders overly value speed, he believes that “they may unintentionally weaken the capabilities that make a human valuable in the first place: the ability to understand why a solution works, recognize when it is brittle, reason through trade‐offs, and judge whether code is ready to support real users.” Finally, he writes that “leadership is measured by stewardship: of decisions, of standards, and of people. When AI speeds up work, the leaders who matter most will be those who protect how people grow.”

Authors

Publication Details

Journal
Leader to Leader
Published
2026-07-28
DOI
https://doi.org/10.1002/ltl.70083
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

WHEN AI MAKES WORK FASTER, LEADERS MUST PROTECT HOW PEOPLE GROW

Ronith Reddy
Leader to Leader
Ethics and Social Impacts of AI
article

WHEN AI MAKES WORK FASTER, LEADERS MUST PROTECT HOW PEOPLE GROW

Ronith Reddy
article en

Abstract

Abstract The author, an alum of Carnegie Mellon University and IIT BHU, is a software engineer at Amazon, where he works on AI‐enabled shopping experiences for Alexa users. While noting the benefits of artificial intelligence, he believes that leaders should ask questions like “When AI can help people draft, analyze, decide, and build faster, what is a leader's responsibility toward the people who are still learning? How do leaders embrace acceleration without weakening the experiences through which people develop judgment?” If leaders overly value speed, he believes that “they may unintentionally weaken the capabilities that make a human valuable in the first place: the ability to understand why a solution works, recognize when it is brittle, reason through trade‐offs, and judge whether code is ready to support real users.” Finally, he writes that “leadership is measured by stewardship: of decisions, of standards, and of people. When AI speeds up work, the leaders who matter most will be those who protect how people grow.”

Leader to Leader
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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