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.

AI is considered core to many businesses, leading them to prefer open-source models and tools to maintain control over their implementations.

The applied AI market will manifest as agents tailored for specific industries, such as legal or customer service, representing a new form of software as a service.

While AI's current applications may not seem groundbreaking, they are already changing things behind the scenes, particularly in developer productivity and customer support.

Successful AI implementations in enterprises involve collaboration between business users and IT, ensuring that both the technical and operational aspects are addressed effectively.

Most AI applications today, particularly those labeled as AI agents, often have low operational costs due to their reliance on software and LLMs, which are becoming cheaper over time.

Companies that sell AI solutions to enterprises can command higher budgets when they position themselves as replacements for traditional roles, like customer support or analytics teams.

We're rolling out various AI technologies to enhance productivity, including external AI solutions.

Business users are increasingly taking ownership of AI tools, monitoring their performance and ensuring they align with business processes, rather than relying solely on IT departments.