How To Keep Control As ​AI Accelerates Entropy

InnovationHow To Keep Control As ​AI Accelerates EntropyByFrancis Dinha,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 03, 2026, 10:00am EDT--:-- / --:--This voice experience is generated by AI. Learn more.This voice experience is generated by AI. Learn more.Francis Dinha is CEO and cofounder of OpenVPN Inc., a leading enterprise network security company. getty​There is a concept in thermodynamics called entropy. Engineers think about it constantly. Business leaders almost never do. Entropy states that, if left unmanaged, complex systems naturally drift toward disorder. Energy disperses. Structure degrades. The conditions that made a system functional gradually work against it.AI is an entropy accelerator. The more aggressively organizations adopt it, the more code gets written, the faster iterations compound and the less human scrutiny applies to each layer of the stack. That is no reason to slow down. It is, however, a reason to think carefully about how control gets exercised in a world where the output of AI systems is increasingly embedded in critical infrastructure, and where the humans responsible for that infrastructure are further and further from the details.The Fragility Problem A Runtime ProblemWhen organizations talk about the risks of AI-generated code, the conversation tends to gravitate toward build-time concerns: who reviewed the pull request, whether the model hallucinated a dependency, how thoroughly the output was tested before it shipped. These are reasonable questions, but they are also increasingly inadequate ones.The real exposure is not in what gets written, it is in what gets executed. Research from Apiiro found that AI-assisted developers produce three to four times more code than their peers, and ten times more security findings. As development velocity accelerates, codebases grow faster,...