Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A company is considering monetizing a generative AI-powered product. Which two business models are most common and viable?
⚠ Common exam trap
Google Cloud often tests the misconception that one-time licensing (Option B) is viable for AI models, but candidates must recognize that generative AI models are not static software—they require ongoing compute, updates, and scaling, making subscription or pay-per-use models the only sustainable approaches.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Pay-per-use based on tokens consumed.
Pay-per-use based on tokens consumed aligns directly with the operational cost structure of generative AI models, where each inference incurs compute and memory costs proportional to the number of tokens processed. This model allows customers to pay only for what they use, making it viable for variable workloads and avoiding upfront commitment, while providers can scale revenue with usage. It is the most common monetization strategy for API-based generative AI services, such as OpenAI's GPT-4 or Anthropic's Claude, where pricing is explicitly tied to token counts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Free with advertising.
Why it's wrong here
Ad-supported models are rare for specialized AI tools and may not generate sufficient revenue.
- ✗
One-time license fee for the model.
Why it's wrong here
One-time fees are uncommon for cloud-hosted AI; ongoing costs for inference and maintenance require recurring revenue.
- ✓
Pay-per-use based on tokens consumed.
Why this is correct
Pay-per-use matches costs to usage, common in cloud API services.
- ✓
Subscription tiered by usage.
Why this is correct
Subscription provides predictable recurring revenue and aligns with user consumption.
- ✗
Selling user data collected from interactions.
Why it's wrong here
Selling user data raises privacy concerns and is illegal in many jurisdictions.
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