Product-Led AI: Unlocking Opportunities and Selling Work

Kazuki Nakayashiki

Hatched by Kazuki Nakayashiki

Sep 11, 2023

3 min read

1

Product-Led AI: Unlocking Opportunities and Selling Work

In today's era of advanced technology, the possibilities for building AI companies have expanded significantly. With the advent of foundation models, anyone can now venture into the world of artificial intelligence. However, amidst this incredible potential, it is crucial to understand the strategic advantage that applications bring to the table.

One of the most significant benefits of applications is their ability to coexist with multiple systems of record and collect valuable data. This data, which flows through the product, provides a wealth of insights and opportunities. Previously, networks connected people, and algorithms connected people to content. Now, algorithms are replacing people altogether, creating AI-powered networks where personalized content is generated for each individual.

The impact of AI extends far beyond social networks. It will revolutionize various "bits only" networks, including dating apps, gaming platforms, labor marketplaces, and specialized skill marketplaces. Such platform shifts often create windows of opportunity to rebuild entire software categories. Let's take the example of productivity and the shift to cloud-based solutions. Despite Microsoft's dominant position with Microsoft Office and Azure, they left a massive gap in the market for collaborative software. This gap was skillfully filled by products like GSuite and Figma, showcasing the potential for startups to disrupt established categories by finding unique angles where incumbents cannot compete.

Another intriguing aspect of AI startups lies in their ability to sell work rather than just software. By focusing on selling outcomes rather than productivity, these startups open up new vertical opportunities that would otherwise not have supported a software-based business model. This approach changes the dynamics of the sales cycle, pricing, and competition. Work is priced relative to the cost of a human performing the task, and the competition extends beyond traditional software companies to outsourced groups internationally.

This shift in approach not only expands the market for AI startups but also allows them to tap into untapped niches and industries. These startups can offer specialized services that require human-like coordination and personalized interactions. For example, branded salespeople like wealth managers, insurance brokers, and mortgage brokers are ideal candidates for AI co-pilots. Their roles involve extensive text-based coordination across multiple applications, making increased efficiency and personalized interactions crucial for their success. In fact, according to Morgan Stanley, client retention for wealth managers is more influenced by consistent personalized interactions than portfolio performance.

Now that we have explored the potential of product-led AI and the opportunities in selling work, let's delve into three actionable pieces of advice for AI startups:

  1. Embrace the power of data: As an AI startup, your product is fueled by data. Make sure to leverage the data passing through your product to its fullest potential. Collect and analyze valuable insights to improve your algorithms and generate personalized content for your users.

  2. Identify untapped verticals: Look beyond the obvious industries and niches. Consider selling work instead of software and explore verticals that may not have been traditional targets for AI startups. By identifying unique angles and opportunities, you can tap into new markets and establish a competitive advantage.

  3. Focus on personalized interactions: In the era of AI, personalized interactions are more important than ever. Whether you're targeting wealth managers or other professionals, prioritize providing consistent, personalized experiences. Invest in AI co-pilots that can enhance coordination and efficiency in text-based workflows, ultimately leading to increased client satisfaction and retention.

In conclusion, product-led AI opens up a world of opportunities for startups. By leveraging the power of applications and data, AI companies can revolutionize various industries and disrupt established software categories. Moreover, by focusing on selling work and embracing personalized interactions, these startups can tap into untapped verticals and create a niche for themselves. The future of AI is bright, and those who embrace its potential and adapt to the evolving landscape will undoubtedly thrive in this exciting era of technological advancement.

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Kazuki Nakayashiki
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