The early winners in the AI space may be general-purpose solutions, but vertical AI agents will emerge as industries develop and require more specialized tools.

The future of AI involves a collaboration between humans and AI, where both can leverage each other's strengths to create value.

To succeed in AI, startups should focus on vertical-specific and function-specific solutions that address complex problems requiring human involvement.

The future landscape of AI may involve a combination of large models and smaller, specialized models that work in parallel, leveraging different areas of expertise.

Evidence shows that vertical agents can outperform human experts in specific tasks, such as security and DevOps, indicating a promising future for AI in specialized roles.

The development of AI models should include layers of specialization for industries and specific companies to meet unique needs.

Leaders of nations should focus on developing a local talent pool that understands AI and creating the necessary infrastructure to support specialized AI systems.

AI will lead to more verticalization of software, allowing for precise configurations tailored to specific industries and needs.

The future of AI in enterprises will likely involve a mix of homegrown algorithms for unique applications and external solutions for standard operational needs. The opportunity lies in developing infrastructure and developer tools that enable internal IT or AI teams to operate efficiently and create tailored solutions for their businesses.