AI agent platforms could push down SaaS license costs, report argues

"AI makes it dramatically easier to write software. It does not make it easier to run enterprise software. Those are two very different problems, and most of the cost lives in the latter. The moment you internalize building software, you also inherit security, compliance, uptime, integrations, and 24/7 support."

"OpenClaw went from zero to 135,000 exposed instances in weeks because it executes workflows fast. It does not produce audit evidence, satisfy license obligations, or generate the compliance documentation that a regulator demands before that code ships."

While AI significantly reduces the effort required to write software code, it does not address the substantial challenges of running and maintaining enterprise software systems. The true costs and complexity emerge during operational phases, including security management, regulatory compliance, system uptime, third-party integrations, and continuous support requirements. Organizations that internalize software development must also assume responsibility for these operational burdens. Additionally, AI-generated code raises reliability concerns, as rapid code execution does not guarantee production of necessary audit evidence, license compliance documentation, or regulatory documentation required before deployment. These operational and compliance gaps represent significant hidden costs that impact enterprise bottom lines.

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