The building block for the next generation of applications is data, which will differentiate future technologies just as code did in the past.

Most AI applications in businesses will come from external software providers rather than being built in-house, as many functions are considered context rather than core to the business.

Our business evolved to include AI-based applications and agentic workflows for enterprises and government customers, moving beyond just data production.

The application layer is where value will ultimately accrue in AI, as companies create customer-focused solutions that leverage foundational models.

AI is fundamentally changing the accessibility, speed, and economics of software creation, making it easier for both experienced and novice coders to develop applications.

Software engineering costs are expected to plummet due to advancements in AI, leading to a shift in market dynamics where companies can rapidly develop their own business logic without relying on platform SaaS, while building custom-tailored solutions can significantly enhance business efficiency by avoiding the complications of poorly functioning SaaS platforms.

The trajectory of AI development is likely to mirror the internet's evolution, where initially, building a single app seemed daunting, but new applications emerged that didn't rely on existing platforms.

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

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