While AI has been discussed for many years, its adoption outside consumer software remains limited, with most value still concentrated in areas like advertising and web search.

Innovations in AI take time to develop and often require entrepreneurs to build upon initial ideas, as many use cases have yet to be invented.

As we approach mid-2027, the key factors in AI research will be the taste of AI agents and the amount of compute available for experiments, as these will determine the effectiveness of automated AI research.

The period of AI development has been long, starting around 2012-2013, but gained visibility in the last three to four years.

The timeline for building a commercial-grade AI system typically ranges from six to twelve months, depending on the complexity of the project.

The last two years have seen a massive rush of consumer AI technologies, marking an exciting moment in the field.

The introduction of AI in various sectors is creating new market opportunities, especially in consumer technology, which is experiencing a significant product cycle.

Many startups are still unaware of the transformative potential of AI, with only a few exploring its capabilities deeply within their organizations.

We're in an 'okay, let's see' phase with AI technology, as opposed to being ten years into B2B SaaS where we had seen many forms of it.