Contrary to the dominant job-loss narrative, a Vanguard study reveals that occupations highly exposed to AI are experiencing faster growth in both jobs and wages. This suggests AI is currently acting as a productivity tool that increases the value of labor rather than replacing it.
Contrary to fears of job replacement, AI coding systems expand what software can achieve, fueling a surge in project complexity and ambition. This trend increases the overall volume of code and the need for high-level human oversight, resulting in continued growth for developer roles rather than a reduction.
Despite AI's narrative as a labor-replacement technology, NVIDIA's booming chip sales are occurring alongside strong job growth. This suggests that, for now, AI is acting as a productivity tool that is creating economic expansion and new roles faster than it is causing net job destruction.
Increased developer productivity from AI won't lead to fewer jobs. Instead, it mirrors the Jevons paradox seen with electricity: as building software becomes cheaper and faster, the demand for it will dramatically increase. This boosts investment in new projects and ultimately grows the entire software engineering industry.
Don't view AI through a cost-cutting lens. If AI makes a single software developer 10x more productive—generating $5M in value instead of $500k—the rational business decision is to hire more developers to scale that value creation, not fewer.
AI makes tasks cheaper and faster. This increased efficiency doesn't reduce the need for workers; instead, it increases the demand for their work, as companies can now afford to do more of it. This creates a positive feedback loop that may lead to more hiring, not less.
AI will primarily threaten purely cognitive jobs, but roles combining thought with physical dexterity—like master electricians or plumbers—will thrive. The AI-driven infrastructure boom is increasing demand and pushing their salaries above even those of some Silicon Valley engineers.
The narrative of AI destroying jobs misses a key point: AI allows companies to 'hire software for a dollar' for tasks that were never economical to assign to humans. This will unlock new services and expand the economy, creating demand in areas that previously didn't exist.
Instead of fearing job loss, focus on skills in industries with elastic demand. When AI makes workers 10x more productive in these fields (e.g., software), the market will demand 100x more output, increasing the need for skilled humans who can leverage AI.
To prepare for AI's career impact, Vanguard's chief economist advises using it as much as possible now. This not only increases your immediate productivity and value but also acts as an early warning system, revealing if your role is truly vulnerable to automation and giving you time to adapt.
A new MIT model assesses AI's economic impact by measuring the share of a job's wage value linked to skills AI can perform. This reframes the debate from outright job displacement to the economic exposure of specific skills within roles, providing a more nuanced view for policymakers.