Pricing by Value and Services
For Model Providers: - Pricing is driven by token count, model usage, and infrastructure costs. As AI workloads scale, operational expenses push providers to adjust usage-based pricing.
For Enterprise Solutions: AI-powered features are now premium add-ons, with rising prices for AI services like Microsoft Copilot. These are strategically packaged to monetize AI as a high-value layer on top of existing products.
For Customers: They experience improved productivity but face significantly higher costs, especially in enterprise subscriptions where AI is bundled as an extra.
Key USP: The core value proposition is positioning AI as a high-value productivity tool that enhances workflows, automates tasks, and unlocks efficiency gains.
What’s coming next:
Expect tiered AI feature offerings across products to maximize adoption while segmenting the market:- 🟢 Basic: Entry-level, limited AI capabilities (possibly free or low-cost).
- 🟡 Premium: Advanced features focused on team productivity.
- 🔵 Professional: Full-featured AI, enterprise-grade tools, customization, and priority performance.
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