The author also criticizes the "one-size fits all" approach of most Voice AI platforms and their lack of customization options. They suggest that instead of focusing solely on competitive pricing, these platforms should aim to amass a substantial user base and gain insights into real-world use cases. This could enable them to develop more tailored functionalities and better products, and position themselves as prime acquisition targets for enterprises. The author advocates for a more sustainable approach of exploring creative monetization models and refining products based on user feedback and emerging trends.
Key takeaways:
- The Voice AI landscape is rapidly evolving, but there is a concerning trend of a race to the bottom driven by pricing, leading to commoditization of these platforms.
- Most voice AI platforms follow a 'one-size fits all' approach, lacking customization and leading to potential issues and limitations in long-term use.
- Despite the initial attraction of competitive pricing, platforms could gain a substantial user base and valuable insights into real-world use cases, enabling them to develop more tailored functionalities and better products.
- A more sustainable approach for these platforms would be to leverage the volume of users to explore creative monetization models and continuously refine their products based on user feedback and emerging trends.