Honest Comparison

Moshi vs. Hiring a Developer

You need AI automation. Should you hire someone full-time or work with a studio like us? Here's the real math — including when we're not the right choice.

The Comparison

Side by side, no spin

We're biased — obviously. So we'll show the numbers and let you decide. Where hiring wins, we'll say so.

Factor Hiring a Developer Working with Moshi
Upfront cost $8k–$15k recruiting + onboarding High $0 — pay per project Low
Monthly cost $8k–$15k/mo salary + benefits Ongoing $0 between projects As-needed
Time to first output 4–8 weeks (hiring + ramp-up) Slow 1–2 weeks Fast
AI/ML expertise Varies — hard to assess in interviews Risk Core competency, battle-tested Built-in
Scope flexibility Can pivot freely Flexible Fixed per engagement Scoped
Long-term capacity Full-time, always available Dedicated Project-based availability Shared
Institutional knowledge Accumulates over time Grows Documented in handoff Transferred
Risk if it doesn't work $50k–$100k+ sunk before you know High $2.5k–$7.5k for first project Low
Maintenance & support Ongoing (their job) Included 30-day support window, then retainer or handoff Defined
Breadth of skills One person's stack Limited Full AI/automation stack Broad
The Math

First-year cost comparison

For a typical AI automation project — one workflow automated, maintained, and iterated on for 12 months.

💰 12-Month Total Cost of Ownership

Hiring a Developer

Recruiting & onboarding $12,000
Salary (12 months × $10k) $120,000
Benefits & overhead (20%) $24,000
Tools & infrastructure $6,000
Management time $8,000
Total $170,000

Working with Moshi

Initial project (Growth tier) $7,500
Second automation $2,500
Third automation $2,500
Quarterly maintenance retainer $6,000
Management time $1,500
Total $20,000

*Based on US market mid-level AI/ML developer salary. Moshi column assumes 3 workflow automations + ongoing support. Numbers will vary by market, complexity, and scope.

Real Talk

When each option makes sense

We'd rather lose a deal than give bad advice. Here's when hiring is genuinely the better move — and when it's not.

🏗️

"We need AI embedded in our core product"

If AI is your product — not just a workflow tool — you need in-house talent who lives and breathes your codebase daily.

→ Hire a developer

"We want to automate 2–3 workflows this quarter"

Discrete, well-scoped automation projects with clear ROI. This is exactly what studios like Moshi are built for — fast, fixed-price, no overhead.

→ Work with Moshi
🔬

"We need ongoing R&D and experimentation"

If you're exploring novel AI applications that require months of iteration and research, a full-time hire gives you dedicated capacity.

→ Hire a developer
🚀

"We're not sure what to automate yet"

A discovery engagement helps you figure out the highest-leverage opportunity without committing to a $120k/year salary before you know what you need.

→ Start with Moshi
📈

"We need AI work now, but might hire later"

Start with a studio to get quick wins and learn what good AI implementation looks like. Then hire with clarity about exactly what skills you need.

→ Moshi now, hire later
🏢

"We have 20+ workflows to transform"

At scale, a dedicated team makes sense. But even then, starting with a studio for the first 3–5 automations gives you proven patterns your hire can replicate.

→ Both (Moshi first, then hire)

The bottom line

Not sure which path fits?

Tell us what you're trying to automate. We'll give you an honest recommendation — even if it's "you should hire someone instead of working with us."

Get honest advice → Run the ROI math first