A vision paper separates access from control and argues AI concentrates software power rather than democratizing it
Grounded in an expert panel, the paper distinguishes access, meaning more people can generate code-like artifacts with AI, from control, meaning the capacity to inspect, evaluate, integrate, maintain and govern those artifacts as dependable software. The claim is that AI broadens the first while concentrating the second among whoever owns the infrastructure, evaluation practice and deployment pipelines. It does not predict the end of software engineering expertise but relocates it toward intent specification, orchestrating and governing AI behaviour, and system integration, then lists research openings for education, tooling and policy. It reads as the direct counter-argument to the Paul Dix essay above.
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