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.

Successful vertical SaaS companies often emerge from founders' personal experiences with tedious tasks, leading to innovative AI solutions.

The trend of AI decreasing the cost of creation is enabling more people to experiment with their ideas, indicating a growing untapped market for coding and app development.

Full stack companies can now operate like software companies, leveraging AI to reduce the need for large operational teams and improve gross margins.

AI is driving unprecedented growth in startups, allowing small teams to achieve significant revenue milestones quickly, sometimes reaching $10 million a year within 12 months.

In the early 2010s, many software businesses transitioned to the cloud, creating numerous opportunities for founders to replace outdated software. We are currently experiencing a similar moment with AI, where existing software can be rebuilt from scratch to integrate AI effectively.

As the cost of software development decreases due to AI, the demand for software will likely increase, leading to a scenario where fewer human engineers are needed to meet that demand.

Investors are now more willing to fund AI-driven companies that compete with established players like Salesforce, indicating a significant shift in the market landscape.

Many startup founders are already using AI coding tools, with a significant increase in adoption from 0% to about 25-50% in just a few months, indicating a shift in how software is developed.