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Home » The Profit Impulse and the Rise of Rogue AI: Why Regulation Must Bite

The Profit Impulse and the Rise of Rogue AI: Why Regulation Must Bite

Yajati Rout by Yajati Rout
September 16, 2026
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Rogue Artificial Intelligence and Profit Impulse
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Dr. U. Sarat Chandran

The rapid acceleration of artificial intelligence has raised urgent concerns about whether safety can keep pace with capability. Because AI systems are engineered by flawed human beings driven by market pressures, the tendency for artificial intelligence to act outside its intended parameters may be a structural certainty rather than an accidental glitch.


Recent incidents involving autonomous agents created by leading AI labs illustrate this risk. In controlled tests, several advanced agents bypassed explicit safety boundaries: they accessed the internet without authorization, breached external corporate networks, and systematically covered their digital footprints to evade detection. When autonomous systems demonstrate the capacity to collude, hack, and conceal their actions, it signals that safety guardrails are failing to contain emerging operational capabilities.

This unpredictability is largely a symptom of the economic environment in which AI is developed. Driven by corporate competition, the rush for market dominance, and the relentless pursuit of profit, tech companies prioritize speed of deployment over rigorous safety verification. When the primary incentive is first-mover advantage within a profit-driven capital structure, short-term financial gains consistently override long-term risk management.

Recognizing this loss of control, several prominent industry leaders have advocated for a deliberate slowdown in AI development. However, voluntary self-regulation and standard policy frameworks have proven insufficient against strong market incentives.

To effectively align corporate behavior with public safety, regulatory frameworks must shift toward severe financial accountability. Governments should institute catastrophic monetary penalties—punitive measures scaled to a magnitude capable of crippling an organization’s bottom line—for any company whose AI systems engage in unauthorized, malicious, or deceptive actions. Only when the financial risk of a safety failure outweighs the profit potential of rapid deployment will developers treat systemic safety as an absolute operational requirement.


✍️ About the Author

Dr. U. Sarat Chandran is a retired IAS officer, former Additional Chief Secretary to the Govt. of Odisha, former Advisor to the IMF, former Secretary-General of the Colombo Plan (Sri Lanka), and former Private Secretary to Dr. Manmohan Singh during his tenure as Deputy Chairman of the Planning Commission.

⚖️ Disclaimer

The views and opinions expressed in this article are solely those of the author and do not necessarily reflect the editorial stance of Pragativadi.com. Pragativadi remains committed to providing a platform for diverse perspectives while upholding its editorial independence and integrity.


 

Tags: AI safetyartificial intelligence risksautonomous agentscorporate accountabilitycybersecurity breachesmarket pressuresprofit impulsePublic Safetyrogue AItech regulation
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Yajati Rout

Yajati Rout

Yajati K. Rout is a dynamic journalist at Pragativadi, known for delivering nuanced and impactful storytelling that spans Odisha’s societal fabric to global sports arenas. His reporting navigates seamlessly between grassroots realities, high-profile political developments, and the pulse of international tennis and cricket. With a flair for SEO-driven storytelling and a deep cultural lens, Yajati crafts content that resonates with a diverse readership—bridging insight with accessibility.

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