There's a sales pitch that gets repeated in AI startup land: "replace your $4,800/month virtual assistant with a $97/month AI agent stack." It's not wrong. But it's also not the full picture.
Most people making that pitch are selling you the optimistic scenario. I wanted to see the actual numbers with my own inputs, so I built a free calculator that takes your real VA costs, your billable rate, and which tasks you actually delegate — and gives you a per-task replaceability breakdown instead of a single headline number.
What the calculator does
You plug in three things:
- Your VA's monthly cost
- How many hours/week you use them
- Which tasks they handle (email triage, calendar, research, content, support, bookkeeping, data entry, lead research)
It then applies 2026-realistic replaceability percentages per task type and spits out a monthly savings estimate and an estimated AI stack cost for your specific mix.
Here's a real output for a $4,800/month VA working 30 hours/week across email, calendar, and research:
- Estimated replaceable portion: ~87% of tasks
- Recommended AI stack cost for those tasks: ~$50/month
- Monthly savings estimate: ~$4,163/month
- Payback period on a $497 done-for-you setup: roughly 4 days
The numbers behind the percentages
Each task type has a replaceability weight based on how repeatable, specifiable, and low-judgment the work is in 2026:
- Email triage: 90% replaceable
- Calendar/scheduling: 95% replaceable
- Research: 80% replaceable
- Content/social: 70% replaceable
- Customer support: 75% replaceable
- Bookkeeping: 60% replaceable
- Data entry: 95% replaceable
- Lead research: 90% replaceable
These aren't my opinion — they're drawn from 2026 benchmarking across Wishup, AI Magicx, and CodeMind's agent-replacement studies. The weights skew high for repeatable, well-specified work and deliberately stay below 80% for tasks where the cost of a wrong answer is high.
What AI still can't replace (and the calculator reflects this)
The tool deliberately scores tasks below 80% replaceability when judgment or context matters. Sensitive client conversations, judgment calls under ambiguity, anything where the cost of a wrong answer is non-trivial — the calculator keeps a human in the loop for those.
The goal isn't to replace humans. It's to make the replacement math explicit instead of guessing.
Why a calculator instead of a sales page
If the number this calculator produces is small for your situation, the right answer is to not buy anything. I wanted to build something that gives you the math first, then lets you decide — rather than starting from the product and working backward to justify it.
If the number is big and you want someone to actually install the stack for you, there's a $497 done-for-you option. But you should run the calculator first.
The calculator is free, browser-only, no signup required.
The 63% failure problem that changes the calculus
There's a number that doesn't show up in most AI-vs-VA comparisons: 63% of complex AI agent tasks in production fail silently. No error message. No crash. The task just quietly doesn't complete correctly, and you find out from a customer complaint or a missed deadline.
That's the other half of the math. AI is cheaper per task, but if you're running agents on complex, multi-step work without replay fixtures or failure ledgers, the silent failure rate can cost more than you're saving in tokens.
The calculator gives you the cost side of the equation. The failure forensics sprint gives you the reliability side. Running both together is where the actual ROI picture emerges.
Run the calculator →
See the AI Agent Failure Forensics Sprint →
Top comments (0)