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AI-Generated Code Sparks Legal Chaos in Software Development

From Microsoft to Meta, AI now writes nearly half of all code—but who owns it? Legal gaps put billions in software at risk.

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1 min read
The image shows a computer generated painting of a blue and black abstract design with a black and...
The image shows a computer generated painting of a blue and black abstract design with a black and white background. The painting is composed of a combination of blue, black, and white colors, creating a unique and captivating visual.

AI-generated code is reshaping software development, but its legal status remains unclear. Major tech firms now rely on AI for large portions of their infrastructure, raising questions about copyright and liability. Without clear rules, companies face potential risks when using machine-assisted programming tools. Tech giants are increasingly turning to AI for coding tasks. Microsoft's engineering teams already use generative AI for 30% of their code. Meta expects nearly half of its codebase to be AI-generated by the end of the year.

Yet, not all AI-assisted work qualifies for copyright protection. The U.S. Copyright Office ruled that Kristina Kashtanova's graphic novel *Zarya of the Dawn* could protect its human-written text but not its AI-generated images. Similarly, code produced by AI—sometimes called 'vibe coding'—lacks protection unless a human contributes significant creative input. The legal test for authorship, known as the 'master mind' test, checks whether a human guided the creative process. If AI merely assists rather than replaces human decision-making, the work may still qualify for copyright. However, purely AI-generated code, even if not copyrightable, can still trigger legal issues if it violates existing software licences. Global teams face further complications due to differing international rules. Stan Misiurev, Head of Technology at Clutch, notes that many non-tech companies have yet to establish clear policies for securing AI-generated code. Without structured guidelines, businesses risk unintended legal exposure.

The shift toward AI-assisted development is accelerating, but legal frameworks struggle to keep up. Companies relying on AI-generated code must navigate unclear copyright rules and potential licence violations. As adoption grows, clearer policies will be essential to avoid legal pitfalls in software creation.

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