Former Oracle Engineer on H-1B Visa Shares How He's Adapting to AI

TEXT START: When Ayush Raj Jha moved from India to Illinois in 2018 to pursue a master's degree in computer science, he was optimistic about the future of software engineering.

THE DISSECTION

This piece turns a systemic labor-market rupture into a biography of adaptation. It accurately records the pressure: AI increases individual productivity while layoffs and H-1B dependence make unemployment existential. But it centers worker behavior—courses, open-source work, seniority, and interview readiness—instead of ownership of the systems capturing productivity. The move to a staff role at a private company is repositioning inside the same machine, not escape from it.

THE CORE FALLACY

The article assumes improved individual capability preserves individual economic necessity. Under the Discontinuity Thesis, AI skills can make one engineer more productive while reducing the number of engineers required. When those tools become standard, upskilling becomes an arms race that raises the employability threshold without restoring mass demand or bargaining power. “Be prepared for the next job” manages the queue; it does not restore the wage-consumption circuit.

HIDDEN ASSUMPTIONS

• Firms will use AI to create more engineering roles rather than eliminate them.
• Productivity gains will produce job security instead of headcount reduction.
• Ten hours of weekly learning can outrun AI improvement and global competition.
• A staff title, private ownership, and an appealing engineering culture provide durable protection.
• Experience converts into control over AI capital. It does not.
• The visa transfer will proceed smoothly, despite the narrow legal window that magnifies every employment shock.

SOCIAL FUNCTION

Primary classification: transition management. Secondary classifications: partial truth and ideological anesthetic.

The article is truthful that AI fluency may improve an individual’s short-term odds and that visa holders face a sharper cliff. Its anesthetic function is framing survival as personal preparedness. If workers become obsolete, the implied explanation is inadequate adaptation—not a system manufacturing replaceability faster than credentials can provide protection.

THE VERDICT

This is evidence of P1 arriving before P2 and P3 are complete. Jha’s successful job move does not refute the thesis; it shows the narrowing funnel. He is a conditional Servitor: valuable while his judgment, verification, context, and AI leverage exceed his cost, but disposable when that ratio changes. Continuous learning and a better title buy time, not sovereignty. The old promise of software engineering—skill guarantees durable participation—is already being dismantled.