Pricing Your AI Services After a Tech Layoff: What the Market Actually Pays
One of the biggest mistakes newly independent AI professionals make is pricing based on their old salary. Here's how the freelance AI market actually works — and what clients are paying right now.
Coming out of a layoff at a major tech company with the intention of going independent, most people face the same early confusion: what do I charge?
The instinct is to work backward from the salary. If you were making $180,000 a year, that's roughly $87 an hour. So charge $90 an hour? Maybe $100 to account for benefits you're no longer getting?
This logic produces prices that are simultaneously too low for the value you're delivering and too high for how clients think about small projects. Here's a more useful framework.
How clients actually think about price
Business owners don't think in hourly rates. They think in outcomes and total cost. When a business owner is considering hiring an AI specialist, they're asking: what will this cost me in total, and is that less than what the problem is currently costing me?
A workflow automation that takes you six hours to build might save the client's team fifteen hours a week. At $25/hour for that team's time, that's $375 a week — over $19,000 a year in recovered labor. A project fee of $2,500 for that automation is a two-month payback. That's a straightforward yes for most business owners.
Price the outcome, not the hours.
What AI projects actually sell for right now
Based on current market rates for independent AI practitioners in North America:
Simple automations (single-workflow, using existing tools like Zapier, Make, or n8n): $500–$1,500
Custom chatbots and AI assistants (built on GPT or Claude APIs, integrated with a client's systems): $1,500–$4,000
Full AI-enhanced website or application builds: $3,000–$8,000
Ongoing retainer work (monthly maintenance, iteration, new features): $500–$2,000/month
Hourly consulting for strategy or advisory: $100–$200/hour for practitioners with verifiable enterprise experience
These ranges assume North American clients. International clients typically pay somewhat less.
The mistake that keeps prices too low
The most common pricing mistake among newly independent tech workers: undercharging for the first few projects out of uncertainty, then feeling stuck at that rate because it's what they told clients to expect.
Set your rate at what you want to sustain, not at what feels safest. A client who pays $500 for something worth $2,500 is not a good client. A client who pays $2,500 for something worth $2,500 is a client you want more of.
JustListAI lets you display your price range directly on your listing, so clients self-select before they reach out. List what you actually want to earn.
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