AI won’t empty the software factory: Why the new engineers act like foremen
Software engineers aren't disappearing. They're becoming foremen.
Why it matters
As AI accelerates code production, the bottleneck shifts from writing to quality control and architectural judgment. Engineers who can set standards, validate AI output, and steward code to production will see demand rise, not fall — but only if organizations invest in their problem-solving skills rather than treat AI as a headcount play.
The key facts
10 to knowBLS projects 267,700 new software developer jobs by 2034 (15.8% growth), accounting for AI spread
GitHub 2025 Octoverse: ~1 billion commits pushed, 25.1% YoY rise
Gearset research: 82% of Salesforce teams trust AI in build stage; 58% trust it at release
Faros AI finding: AI speeds individual coders, but review and rework swallow productivity gains before reaching team
Author argues junior engineers must shift from ticket-churning to architectural participation and organizational problem-solving
U.S. Bureau of Labor Statistics projects 15.8% software developer job growth from 2024 to 2034, adding 267,700 jobs despite AI adoption
GitHub 2025 Octoverse: nearly 1 billion commits pushed, 25.1% year-on-year rise, driven by lower development costs enabling higher output
Gearset research: 82% of Salesforce teams trust AI in build stage; drops to 58% at release, signaling quality control as primary differentiator
Faros AI finding: AI speeds individual coders, but review and rework consume gains before reaching team
Role evolution framed as 'foreman' model: engineers set intent, enforce standards, manage agent delegation, and ensure production readiness
Go to the source
CIOcio.com
Publisher excerpt: Human work has gone through several revolutions over the past few decades, each of them bringing a start to new careers and an end to others. Software careers, which seemed virtually untouchable a short while ago, have been touted as among the most prominent victims of artificial intelligence. On…