AI in 2023: The Application Layer Has Arrived - Building Customer Experiences

AI in 2023: The Application Layer Has Arrived - Building Customer Experiences

In the rapidly evolving landscape of AI, it is becoming increasingly clear that the application layer has arrived. The potential use cases for AI can be broadly categorized into two buckets: creativity and productivity. While we are still in the early stages of exploring its applications, one thing is certain - AI has the power to revolutionize industries across the board.

When it comes to creativity, AI has already made significant strides. For example, Copilot, an AI-powered tool, is now capable of generating about 40% of the code in projects where it is installed, with expectations of reaching 80% within the next five years. This level of automation has the potential to transform the way software development is approached, allowing developers to focus on higher-level tasks and problem-solving.

However, the question of how companies can build competitive moats in this new AI landscape remains. True tech differentiation is rare, and companies will need to find ways to stay ahead of the competition. One possible solution is through the creation of network effects or iterative loops of user engagement and product refinement. This means that companies must continuously innovate and improve their AI offerings to maintain a competitive edge.

Interestingly, many of the best AI startups are likely to be SaaS companies. The SaaS business model has proven to be highly desirable in the tech industry, and AI startups are no exception. However, in an increasingly crowded enterprise SaaS market, AI SaaS companies will need to develop best-in-class products to stand out from the competition.

The integration of AI into our daily lives also raises important questions about education. Today's children will grow up in a world where AI is ubiquitous, and it is crucial that they understand how to navigate this new reality. Rather than banning AI tools, as some suggest, it is important to find ways to adjust to these tools and leverage them for positive outcomes. AI has the potential to amplify creativity and productivity, making it a powerful and humanistic force.

Transitioning to the realm of customer experiences, Airbnb's Global Product Lead emphasizes the importance of understanding user behavior. When building any feature, functionality, or product, the goal is to change the behavior of customers. In order to do so effectively, it is crucial to question why users behave the way they do and what motivates them. User research and understanding their needs and psyche are essential in creating meaningful and impactful experiences.

Timelines play a critical role in product development, but it is equally important to focus on the overall shipping goal. By working backward from the desired outcome, it becomes easier to prioritize and deprioritize features and functionalities. This approach ensures that the most essential aspects are included in the first iteration of a product launch.

While AI can be a powerful tool in predicting user behavior, it is also important to think beyond machine learning models. If a product can successfully change user behavior without relying on AI predictions, it is a testament to its effectiveness. The ultimate goal for a product manager should be to solve user problems and drive meaningful outcomes, rather than getting caught up in features and projects.

Continuous learning and improvement are crucial for product managers. Participating in open discussions, seeking out mentorship, and staying informed through webinars can provide valuable insights into identifying metrics that truly matter. Reading books like "Measure What Matters" by John Doerr can also provide guidance on setting and achieving meaningful goals.

In conclusion, the application layer of AI has arrived, and its potential in both creativity and productivity is immense. As companies navigate this new landscape, it is important to find ways to build competitive moats, leverage network effects, and continuously innovate. Simultaneously, product managers should focus on understanding user behavior, solving their problems, and driving meaningful outcomes. By embracing AI and constantly learning, we can harness its power to create transformative customer experiences.

Three actionable advice:

1. Embrace AI as a tool for amplifying creativity and productivity, rather than fearing its potential.
2. Prioritize understanding user behavior and needs to create meaningful and impactful experiences.
3. Continuously learn and improve through participation in discussions, seeking mentorship, and staying informed on industry trends.