The Smallest Viable Audience and the Early Days of AI: Creating Value and Finding Success

The Smallest Viable Audience and the Early Days of AI: Creating Value and Finding Success

In the ever-evolving landscape of technology and business, two distinct concepts have emerged as crucial factors for success: the idea of the smallest viable audience and the rapid advancements in artificial intelligence (AI). While these may seem like unrelated topics, upon closer examination, we can find common points that connect them in a natural and meaningful way.

The concept of the smallest viable audience emphasizes the importance of focusing on a specific group of individuals who truly value and appreciate what you have to offer. It is about creating a product, service, or content that resonates deeply with a select group of people rather than trying to cater to everyone. By doing so, you become an indispensable provider in their lives, someone they would truly miss if you were gone.

This approach requires a shift in mindset. Instead of waiting for random individuals to stumble upon your offerings, you actively choose your customers. You define who your product or service is for and what purpose it serves. Once you have identified your target audience, the key lies in creating an experience that delights and connects with them on a profound level. It is through this connection that they will willingly spread the word to like-minded peers, further amplifying your reach.

Specificity is the pathway to success in this context. It is not about achieving absolute scale; rather, it is about being crystal clear about the unique value proposition that sets you apart. By focusing on a specific hook and setting a high standard for the quality of your work, you will attract people who are not only drawn to what you offer but are also transformed by it.

Now, let's turn our attention to the early days of AI. Many business professionals mistakenly view recent advancements in AI, such as LLMs, Transformers, and diffusion models, as mere extensions of previous AI capabilities. However, it is essential to recognize that we are entering an entirely new era, marked by a significant discontinuity from the past.

The value generated by earlier waves of AI predominantly favored established companies over startups. The capabilities were not advanced enough to create new market openings, resulting in limited opportunities for newcomers. However, the current wave of AI represents a step function in terms of capabilities and products. The launch of ChatGPT served as a catalyst, heralding the mainstream recognition of AI's vast potential.

Despite this milestone, we are still in the early stages of AI adoption. Large enterprises typically operate on long planning cycles, and the process of prototyping and building AI-powered products can take up to a year. Therefore, we have yet to witness the peak of AI usage or the peak of AI hype. In fact, we can anticipate at least four distinct waves of AI in the coming years.

Wave 1 primarily consists of companies native to the GenAI era. These early adopters, such as ChatGPT, Midjourney, and Stable Diffusion, have already gained significant revenue and user traction. In Wave 2, we see the emergence of early startup adopters and fast mid-market incumbents who are leveraging technologies like GPT-3.5/4 to create innovative products. Founders of multi-billion-dollar companies, such as Navan, Notion, Quora, Replit, and Zapier, are also at the forefront of this wave.

Looking ahead, Wave 3 holds great promise as the next wave of startups is being founded. This phase may introduce new formats like voice and video, as well as explore the use of natural language in various verticals and applications. Additionally, advancements in infrastructure will unlock incremental experiences, paving the way for companies like Eleven Labs, LMNT, LFG Labs, and Braintrust to contribute to the evolving AI landscape.

As for Wave 4, we can expect the first significant enterprise adopters to enter the scene around 2024 or 2025. Given the lengthy planning and build cycles of larger companies, it will take some time for truly impactful AI-powered products to materialize. However, once these products hit the market, they are likely to redefine industries and revolutionize the way we work and live.

In conclusion, the concepts of the smallest viable audience and the early days of AI intersect in their emphasis on creating value and finding success. By focusing on a specific audience and delivering exceptional experiences, businesses can become indispensable providers in their customers' lives. Simultaneously, the ongoing advancements in AI present unprecedented opportunities for startups and established companies alike. To capitalize on this potential, it is crucial to stay informed, embrace innovation, and continuously push the boundaries of what AI can achieve.

Actionable Advice:

1. Embrace specificity: Identify your smallest viable audience and tailor your product or service to their unique needs and desires. By focusing on a niche market, you can create a profound impact and cultivate loyal customers who will champion your brand.

2. Stay ahead of the curve: Keep a pulse on the latest developments in AI and explore how they can enhance your offerings. Whether it's leveraging language models or adopting new AI-powered technologies, embracing innovation will give you a competitive edge in this rapidly evolving landscape.

3. Foster a culture of experimentation: Encourage your team to explore new ideas and approaches. The early days of AI are characterized by rapid advancements and evolving possibilities. By fostering a culture that embraces experimentation and continuous learning, you can position your company at the forefront of change.

By following these actionable advice and understanding the intersection between the smallest viable audience and the early days of AI, you can pave the way for success in an increasingly dynamic and transformative business landscape.