Artificial intelligence is transforming businesses and entire industries. As AI capabilities grow, so do the opportunities to leverage it to make money. Here are 7 proven business models to monetize AI:

1. AI Consulting

Provide consulting to help businesses implement AI. Services include:

  • AI readiness assessments
  • Data strategy planning
  • Building data pipelines
  • Project management of AI deployments
  • Training and change management

Requirements are AI knowledge and business experience.

2. AI Development

Build custom AI products and solutions for clients. Offerings include:

  • Custom machine learning models
  • Natural language processing systems
  • Computer vision systems
  • Predictive analytics and forecasting
  • Chatbots and voice assistants

Requires deep expertise in AI development and data science.

3. AI-Enhanced SaaS

Incorporate AI into software-as-a-service products. AI can power features like:

  • Personalization
  • Predictive capabilities
  • Sentiment analysis
  • Image recognition
  • Language translation
  • Intelligent workflows

Leverage AI to enhance your SaaS products.

4. AI Skills Training

Offer AI training for organizations looking to upskill employees. Courses can focus on:

  • Fundamentals of AI
  • Applications of AI in business
  • Using AI development platforms
  • Building machine learning models
  • Managing AI ethics and governance

Requires expertise in AI and teaching skills.

5. AI Data Services

Provide services to prepare data for AI applications:

  • Data collection
  • Data labeling
  • Data annotation
  • Data validation
  • Data transformation
  • Data governance

Must have data engineering and data quality skills.

6. AI Freelance Services

Offer AI services like machine learning, NLP, data scraping, or analytics as a freelancer. Platforms like Upwork let you sell AI skills remotely.

Requires expertise in AI disciplines like data science or machine learning engineering.

7. AI Products/SaaS

Build your own AI software products or SaaS to sell, such as:

  • NLP APIs
  • Chatbots
  • Computer vision APIs
  • Predictive analytics tools
  • Data labeling platforms

SaaS models require handling the infrastructure. APIs simplify to just the AI service.

FAQs About Making Money with AI

What skills are required to offer AI services?

Technical skills in AI disciplines like machine learning, data science, and natural language processing. Business skills also essential.

What is the demand for AI skills?

Demand grows rapidly as companies apply AI. Shortage of AI talent creates opportunities for skilled individuals.

What are examples of successful AI startups and businesses?

Sentient, DataRobot, Scale,, NetBase Quid, Veritone, Gamaya, and Appen among others.

What is the best way to get AI experience?

Get hands-on with online courses, tutorials, and open datasets. Contribute to open source AI projects. Complete AI certifications.

Is a background in software engineering required?

Not necessarily but useful. Some ways to make money with AI rely more on strategic understanding than coding.

The growth of AI creates exciting entrepreneurial and freelance opportunities. With both business and technical know-how, you can capitalize on this promising field.


  • Gio Watts

    Gio Watts brings over 10 years of digital marketing experience to his role as marketing manager at Walletminded. In his current position, Gio oversees brand marketing, campaign management, and audience growth initiatives. Prior to joining Walletminded, Gio held marketing roles at several ecommerce and SaaS startups, most recently serving as senior marketing manager at CloudTable Inc. There, he specialized in paid social advertising and content marketing. Gio holds a bachelor’s degree in business marketing from the University of Oregon. He is a certified content marketing specialist and frequently guest lectures at his alma mater. When he's not devising omni-channel marketing campaigns, you can find Gio coaching youth basketball and indulging his passion for live music.

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