Expand human agency and shared prosperity through evidence-led skills, durable R&D capacity, universal connectivity, and accountable deployment that shares technological gains.
Verification Status
AI-researched, unverifiedLast Reviewed
Jul 12, 2026
Cited Sources
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A position worth holding should survive its strongest good-faith objection and name who bears the burden.
The best good-faith case against this position, followed by why the party still lands where it does.
The strongest good-faith objection to Proposal 5: rebalancing toward trades risks reading as this platform second-guessing the value of coding and software education generally, when the AI-11 finding is much narrower: a specific, measured decline concentrated in entry-level roles in the most AI-exposed occupations, not a broad indictment of software careers. A critic could reasonably argue this plank overcorrects on the strength of a single, still-developing evidence base (AI-11 itself flags its own data as thinner than most of this platform's other findings), and that steering young people away from software education broadly, on the basis of one entry-level labor study, risks being just as evidence-light as the assumption it's replacing. Proposal 5 answers this by being additive, not subtractive, and that's the commitment that keeps it honest: new trades funding alongside existing coding and software investment, not funding moved out of one to cover the other. A budget process that turned "rebalance" into "cut" would be violating this issue's own explicit proposal, which gives future implementation a clear standard to be held to. That's a safeguard, not just a hope that translation goes well.
The people, institutions, and tradeoffs most likely to bear the burden of this choice.
Young people currently being counseled into entry-level coding careers on the strength of the 2024 plank's original framing bear the most direct cost of not updating it. They're the population AI-11's own data says is already seeing measurable effects. Coding-bootcamp and computer-science-education providers whose business model depends on the current STEM emphasis bear an economic cost if funding rebalances toward trades. Communities with acute skilled-trades shortages bear an ongoing cost from under-investment in that pipeline for as long as this plank's rebalancing goes unimplemented. The overcorrection risk this issue's own Steelman raises (cutting software funding instead of adding trades funding alongside it) is exactly what Proposal 5's explicit additive framing is built to prevent, which is why that framing is stated as a requirement in the proposal itself, not left as an aspiration for whoever eventually writes the budget.
Turn frustration into useful pressure.
If this position misses evidence or a lived consequence, challenge it. If it holds up, help test it locally and connect it to the issues around it.