The AI Boom and the Enron Lesson: Why Ethical AI Matters

Recently, one of Wall Street’s most prominent contrarian investors, Michael Burry, drew attention to the AI boom with a reference to one of corporate America’s most notable cautionary tales. He shared a recommendation on his social media for The Smartest Guys in the Room, a book about the rise and fall of Enron, the notorious energy and trading company whose collapse in 2001 became one of the most significant corporate scandals in U.S. history. To his post, he added the ominous suggestion: “History is repeating. Time to read this one again, or for the first time.”

While provocative, Burry’s Enron reference points to a broader lesson and important reminder that technological innovation and financial success are not guaranteed—especially without proper governance. As AI investment accelerates, transparency, accountability and responsible implementation will be critical—not only to the industry’s long-term sustainability, but to maintaining the trust organizations and consumers place in AI.

Understanding AI Business Concerns

Burry's concern, like that of many, focuses not on AI technology itself, but the money moving around it.

He points to circular financing deals, off-balance-sheet structures, and stretched depreciation schedules. These are accounting moves that can make growth look cleaner and more promising than it really is, especially in these early days of AI where positive reception and long-term investment in the technology is uncertain. Like Enron, which concealed debt to obscure its true financial position, Burry suggests that a similar pattern may be emerging in today’s AI boom.

The comparison and connection are not an accusation of fraud. Many of today's AI companies generate real revenue and breakthroughs that point towards sustained growth. Instead, skeptics are questioning the speed of this growth and calling for a more transparent and purpose-drive AI governance strategy. When hundreds of billions of dollars flow toward infrastructure faster than anyone can measure the return, incentives run the risk of outrunning oversight.

Prioritizing Ethical AI Governance

The most useful lesson from Enron in today’s AI climate is how it illustrates the distance between what a company says and what it does.

Enron's annual report proudly listed values like integrity and respect, but these words were found to mean almost nothing in the business’ practice. Researchers studying what today's AI companies can learn from Enron's collapse note this same risk is emerging now. They warn against firms that publish responsible-AI principles or “AI manifestos,” then never translate them into daily decisions or adhere to their mission statements. And this gap carries a cost.

When ambition and marketing outpace real substance, the public starts to sense the widening distance between AI's promise and its reality. Trust can erode quickly, and this is where ethical AI can help by operationalizing values.

Ethical AI is built on practices that promote transparency, accountability, security, fairness, and meaningful human oversight. These practices help organizations understand how AI systems are developed and used, identify potential risks, and remain accountable for the outcomes they produce. Companies and agencies like the National Institute of Standards and Technology (NIST) are helping define what trustworthy AI looks like, with AI Risk Management Frameworks emphasizing these key characteristics of trustworthy AI.

Entering the Workforce During the AI Boom

The same pressures companies face to develop a clear vision for how they will integrate AI are creating new opportunities for today’s students in roles focused on AI governance, auditing, and policy.

Demand for responsible-AI skills continues to climb rapidly. Employers increasingly want professionals who can combine technical fluency with ethical judgment, making this a critical credential amongst AI professionals.

The Enron parallel is a reminder that the most damaging failures rarely come from the technology itself, but from the human choices made around it. Responsible AI requires using technology thoughtfully to create real value, preserve human expertise, and earn the public trust that fuels sustainable innovation.

AI Education at Capitol Tech

Capitol Technology University’s Bachelor of Science in Artificial Intelligence combines rigorous, applied learning with research, giving students hands-on experience building, evaluating, and deploying AI systems responsibly. The curriculum pairs technical depth with the knowledge and judgment needed to govern AI effectively, helping students understand how to establish responsible practices, manage risk, and promote ethical use as AI becomes increasingly integrated into organizations.

Explore what a degree from Capitol Tech can do for you! To learn more, contact our Admissions team or request more information.

Written by Jordan Ford
Edited by Erica Decker