"3 Waves of Successful Generative Tech Startups: From AI Wrappers to Visionary Innovations"

"3 Waves of Successful Generative Tech Startups: From AI Wrappers to Visionary Innovations"

In the world of technology startups, there are distinct waves that mark the evolution of a particular technology or concept. When it comes to generative tech startups, we can identify three waves that have shaped the industry and paved the way for success.

The first wave of generative tech startups can be characterized by the emergence of companies that wrapped AI models around their products or services. During this wave, there was a general acceptance and understanding of AI technology, which led to a flood of competition from startups, established players, and major platforms like Google and Microsoft. The key to success in this wave was speed, sales, customer understanding, and exceptional service. These companies didn't focus solely on having a better AI, but rather on providing a superior sales and onboarding experience.

As the industry moved forward, the second wave of generative tech startups emerged. In this wave, companies were not pitching AI as the main selling point but instead using it internally to enhance their businesses. These startups leveraged AI to make their processes faster, cheaper, and of higher quality compared to their competitors. For example, companies in the real estate industry used AI to streamline the apartment renovation process, while security companies employed AI to conduct efficient background checks on vendors. The key to success in this wave was not selling AI as a product but rather offering something better than existing solutions.

Now, we find ourselves on the cusp of the third wave of generative tech startups. This wave represents the visionary and non-obvious applications of AI. These companies are built by individuals who possess a unique ability to reinvent existing industries and practices using AI. The third wave is characterized by the creation of products and services that we can't even imagine yet. Visionaries in this wave are not afraid to push the boundaries of what AI can do and are driven by the desire to build something truly groundbreaking.

It's important to note that the window of opportunity for creating new startups in these waves is typically limited to a few years. Therefore, being part of this transition is a privilege. Not only do we have the opportunity to witness the evolution of generative tech, but we also have the chance to actively contribute and shape its future.

Now, let's shift gears and explore a different perspective on success and motivation. In a Japanese article titled "The Mechanism of Sense: Transforming Effort into Entertainment," the author highlights the idea that when we develop a liking or passion for something, the effort we put into it doesn't feel like effort at all. Even though outsiders may perceive our endeavors as requiring significant effort, we ourselves see it as a form of entertainment. This mindset allows us to sustain our efforts and continuously refine our skills. In essence, the saying "practice makes perfect" holds true. It is crucial to enjoy what we do because when we genuinely love something, the process itself becomes rewarding.

In the context of work, where results are often the primary measure of success, those who genuinely enjoy their work find fulfillment not only in the outcomes but also in the process. This lack of aversion towards work is a significant advantage. Passion and enjoyment cannot be forced or imposed upon someone. They cannot be achieved by setting goals or adhering to deadlines. Ultimately, the most valuable things in life are those that money cannot buy.

Combining these two perspectives, we can extract three actionable pieces of advice for aspiring generative tech startup founders:

1. Focus on the customer experience: Rather than solely emphasizing the technical superiority of your AI, prioritize delivering a seamless and enjoyable experience for your customers. Understand their pain points and design your sales and onboarding processes to address them effectively.

2. Look beyond AI as a product: Instead of selling AI as the main offering, explore how you can leverage AI internally to enhance your business processes and gain a competitive edge. By focusing on offering something better than existing solutions, you can differentiate yourself in the market.

3. Embrace the visionary mindset: As we enter the third wave of generative tech startups, be open to reinventing industries and practices using AI. Don't be afraid to think outside the box and push the boundaries of what AI can do. Be a visionary and strive to create something truly groundbreaking.

In conclusion, the evolution of generative tech startups can be observed through three distinct waves: from AI wrappers to internal applications, and now towards visionary and non-obvious innovations. Each wave brings its own set of challenges and opportunities. By understanding these waves and incorporating the advice provided, aspiring founders can navigate the generative tech landscape and position themselves for success. So, let's embrace the future of AI and build something extraordinary.