The author emphasizes that successful system-of-intelligence products will deeply integrate with company workflows, effectively characterize and digest data, and create data feedback loops. These products must provide enduring value to survive budget cuts and competition from incumbents integrating generative AI into their products. The rapid transformation of the AI space, proliferation of open source models, and evolution of proprietary models present opportunities for founders to build enduring system-of-intelligence products with significant impact on enterprises.
Key takeaways:
- Generative AI is causing a paradigm shift in technology, leading to a massive shift in enterprise spend and transforming the layers of the enterprise technology stack.
- As generative AI shapes the next generation of application products, a more sweeping evolution can be expected, with the emergence of 'system of intelligence' layer.
- These 'system of intelligence' products will need to have deep integration with company workflows, be sophisticated around the characterization and digestion of data, and create data feedback loops to enhance the product experience.
- The transformation of the AI space has accelerated over the last 12 months, and it's up to founders to build enduring system-of-intelligence products atop this rapidly shifting landscape.