Trump’s $100,000 H-1B Strengthens the Case for AI Agents

By Siva Surendira, Founder & CEO of Lyzr

By Siva Surendira, Founder & CEO of Lyzr

What's inside

When a work visa costs as much as a senior engineer’s salary, the spreadsheet starts hiring agents.

Donald Trump says he’ll slap a $100,000 annual fee on every H-1B visa starting September 2025 – a price that dwarfs the sub-$2,000 filing costs that used to be rounding errors. That turns the H-1B from a staffing lever into a budget event.

System integrators have long run a tight equation: a small onsite pod of H-1Bs anchors a $1M time-and-materials deal; offshore delivery does the heavy lift. If each onsite H-1B now removes roughly 10 percentage points of gross margin, the old model collapses. The only way out is price hikes, fewer onsite bodies, or a different way to deliver.

And at $100k a head, “different” looks a lot like agents. A $100k budget can power roughly 100 capable AI agents for a year – units that don’t sleep, don’t churn, and can be scripted to company standards.

What’s New

  • $100,000 annual fee per H-1B worker announced, effective September 2025; prior costs were typically under $2,000 for initial applications.
  • Fee applies every year per worker, not just at filing.
  • A $1M U.S. T&M deal usually includes ~1–3 onsite H-1B FTEs, with the rest offshore.
  • Each onsite H-1B would shave ~10 percentage points off project gross margin; a standard mix (≈1.5–2.5 onsite) means a ~15–25 point margin hit unless pricing or delivery changes.

Here’s how the salary band and the onset billing art table looks like before the $100,000 annual fee.

h1b siva salary

And here’s how it looks after the $100,000 annual H-1B visa fee is applied.

h1b visa basesalary

Why Agents Win at This Price Onsite

H-1Bs have served as glue: translating requirements, stewarding delivery, and handling predictable build-and-run tasks. That glue now costs six figures before salary. Agents, once a novelty, are crossing into “good enough” for repeatable workstreams when wrapped with guardrails, repos, and playbooks.

The margin math forces speed. Raise client rates double digits and deals stall; eat the cost and projects bleed. Shift delivery to agent-led pods, and you can cut onsite headcount while improving responsiveness – especially for toil-heavy activities like QA triage, runbook execution, L2/L3 support, report generation, and routine data workflows.

A $100,000 budget can fund about 100 capable AI agents doing programming, SRE, project management, and data analysis/reporting – the roles often filled by H-1B staff.

From recent deployments (including Lyzr-backed pilots), buyers are pragmatic: they’ll pay for agents when they hit SLAs and show up in dashboards. Not hype – proof. The $100k fee doesn’t invent this shift; it accelerates it.

Strategic Implications

  • Bold pricing reset. Rate cards must change or scope must shrink. Expect SIs to introduce “agent-backed delivery” SKUs with outcome-based pricing: per incident resolved, per feature completed, per test suite passed. Clients will accept it if they see faster cycle time and transparent audit trails.
  • Agent-led delivery pods. Replace a portion of onsite roles with pods of 5–10 agents overseen by an Agent Architect. Think code generation, test automation, SRE runbooks, data pulls, and PM hygiene handled by agents; humans handle design, client navigation, exceptions, and sign-off.
  • Onsite footprint shrinks. Reserve onsite for true client-facing roles: product owners, solution architects, compliance leads – ideally already authorized to work without visas. Everything else becomes remote and agent-assisted, collapsing handoffs and shortening feedback loops.
  • Governance becomes the product. The win isn’t just lower cost; it’s reliable output. Expect hardened pipelines: policy-as-code, red teaming of prompts, PII filters, change windows, and immutable logs. Vendors that ship dashboards showing agent activity, error budgets, and rollback paths will win RFPs. A responsible AI becomes the most sought-after agent feature.

If visas become toll roads, the smartest move is to skip the tollbooth and send agents across the wire.

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Siva Surendira, Founder & CEO of Lyzr, shares his unique insights and perspectives on Lyzr and the future of AI agents. Dive in as he explores everything from building reliable AI agents to the evolution of Organizational General Intelligence (OGI) and the balance between automation, trust, and user experience.

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