When AI Floods the System: The Hidden Business Cost of Low-Barrier Generative AI

Australia's Fair Work Commission just issued a warning that reaches far beyond courtrooms: when AI makes filing a complaint nearly free, filings surge — and the humans who review them pay the price. The commission reported a 70% increase in claims over three years, partly attributed to AI tools that eliminated the cost barrier of hiring a lawyer.

This is the economics of AI democratization playing out in a high-stakes environment. And the same dynamic is present wherever AI removes friction from a previously gatekept process.

Key Takeaways

• AI-generated legal filings tend to be longer and sound more polished, but contain generic content, missing details, and hallucinations — making them slower to process than lawyer-drafted submissions
• The commission is now considering an AI voice agent to triage its helpline — using AI to manage the AI-driven backlog
• AEI researchers propose a "Penny Black" model: a small filing fee refunded if the case is accepted, creating a price signal that discourages low-value AI-generated submissions — similar to how email spam is managed

The broader lesson for business and AI strategy is this: every time AI eliminates a cost barrier, it shifts the scarce resource to human review time. Organizations deploying AI at scale need to anticipate where volume surges will appear — and build either human review capacity or AI triage systems to absorb them.

The commission's experience is a preview. As AI tools become cheaper and more capable, any process that used to require expensive expertise will face this surge. Whether it's customer service, legal, compliance, or procurement, the pattern holds.

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