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When AI Owns the Company: A Compliance Nightmare Behind Innovation

  • Jun 14
  • 2 min read


Argentina recently proposed a legal framework for so-called "non-human corporations", which are basically entities operated by AI agents.



This created a massive fear amongst global compliance professionals.



You cannot expect to innovate at the top while leaving the financial infrastructure behind. Every business still depends on payments and banking which are all run buy already complicated compliance rules and regulations. If the foundation is weak, the entire structure eventually collapses.



Today, every AML framework, sanctions programme, source of wealth and source of funds verification relies on one a simple principle: there is always a human being behind the activity who can be punished if things go south.



Banks therefore are obligated to investigate the directors (who control) and the owners (who earn and pay taxes) because financial institutions need to understand who carry responsibility. The entire compliance framework was built around this assumption.



This is where Argentina is coming in, and breaking it all down.



If an AI company makes decisions but receiving related funds without direct human involvement, banks and payment providers still carry responsibility financial crime investigations have to identify the exact individuals responsible for misconduct and punish them accordingly.



But when the activity is driven by autonomous systems the effectiveness of the entire compliance framework becomes much harder to maintain. Criminals are experts at exploiting gaps in regulation and enforcement, and when significant profits can be generated with limited personal consequences, they have little to lose and will flood an already overloaded system with new ways of testing their luck.



Taxation also becomes extremely difficult. Every country applies different tax rules and rates, currently based on tax residency. AI, however, operates globally from cloud infrastructure and might not belong to a single location.



AI extends far beyond technology, and payment and banking education can no longer be treated as a niche topic.



The people designing the future of AI, regulation, business, and finance need to understand how the financial system actually works. Otherwise, we risk creating innovations that look exciting on paper but create consequences that nobody fully understands until it is too late.



 
 
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