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

Related Reading

Moshi vs. Zapier & Make
When no-code works and when it doesn't.
Moshi vs. Internal Team
Build or buy? Cost math and scenarios.
In-House vs. Studio Decision
An honest 5-signal framework.
Automation Maturity Ladder
5-level framework for where you are.
Industry Solutions
See what we build for your industry.

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."

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