Every enterprise needs an AI strategy, how to build yours? The rise of artificial intelligence has had a profound impact on various industries, revolutionizing the way businesses operate and interact with their customers. One of the most notable developments in AI is the success of ChatGPT, which recently reached an astounding milestone of 100 million sign-ups. This unprecedented achievement has not only captured the attention of the tech world but has also had unexpected consequences for other platforms.

Every enterprise needs an AI strategy, how to build yours? The rise of artificial intelligence has had a profound impact on various industries, revolutionizing the way businesses operate and interact with their customers. One of the most notable developments in AI is the success of ChatGPT, which recently reached an astounding milestone of 100 million sign-ups. This unprecedented achievement has not only captured the attention of the tech world but has also had unexpected consequences for other platforms.

For instance, the popularity of ChatGPT has led to a decline in the usage of academic assistance websites like Chegg. Students are now relying less on Chegg for homework help, opting instead to utilize the capabilities of ChatGPT. This shift in user behavior was highlighted by Chegg's CEO during the company's Q1 2023 earnings call, which resulted in a significant drop in the company's stock value by 40%.

Similarly, developers have also experienced a decrease in their reliance on StackOverflow, a popular platform for programming assistance. In the same quarter, the traffic for StackOverflow decreased by 14%, signaling a shift in the developer community's preferences. These examples illustrate the transformative power of AI and the need for businesses to adapt and embrace this technology to stay competitive.

To effectively build an AI strategy for your enterprise, it is essential to understand the key components and jobs to be done. Just like making a cup of tea requires tea leaves, hot water, and a mechanism for heating, businesses must break down their value chain to identify the necessary elements for success. This process of elaboration and analysis enables organizations to identify areas for improvement and optimization.

In his book "Hard Things About Hard Things," Ben Horowitz emphasizes the importance of differentiating between peacetime CEOs and wartime CEOs. During times of platform shifts and technological advancements, it is crucial to bring in leaders who can navigate the challenges and uncertainties associated with such transitions. This often involves phasing out peacetime leaders and embracing the mindset of a war-time leader. The ability to remove the focus on aesthetics (Sundar) and prioritize truth (Satya) within the organization is vital for successfully implementing an AI strategy.

While many startups are eager to capitalize on the AI trend, it is important to note that investors may not always be the best source of funding for AI startups. The recent surge of interest in AI has led to a wave of rebranding, with startups adding ".ai" to their names to signal their alignment with the AI industry. However, this surface-level change does not necessarily indicate any significant technological advancements or unique value proposition.

When seeking funding for an AI startup, it is advisable to consider alternative options and strategies. Here are three actionable pieces of advice to help navigate the funding landscape:

1. Talk to Gen Z investors or those who approach investments with a beginner's mindset. These individuals may have a fresh perspective and a willingness to take risks, making them more receptive to innovative AI solutions.

2. Look for investors who are not constrained by the pressure of a 10-year window or career risks associated with early-stage investing. Seek out individuals who have the structural flexibility to support a long-term vision and understand the complexities of the AI industry.

3. Differentiate between novice investors and seasoned investors by evaluating the quality of their questions regarding defensibility and moats. Seasoned investors will have a deeper understanding of the challenges and opportunities in the AI landscape.

Lastly, it is essential to assess the AI capabilities of potential investors. If they do not have an AI sidecar or a vested interest in the AI industry, it may be challenging to have meaningful conversations and align interests effectively.

In conclusion, building an AI strategy is a crucial step for every enterprise in today's rapidly evolving business landscape. The success of AI platforms like ChatGPT has demonstrated the transformative power of this technology. However, organizations must be mindful of the potential impact on existing platforms and user behaviors. By breaking down the value chain, embracing war-time leadership, and seeking alternative funding strategies, businesses can navigate the AI landscape effectively and harness its full potential.