very interested to see this unfolding

me too. Because there are more than 100 new AI tools / day published and I personally don’t think it is helpful to compile them without having a specific use case in mind.
But to create a value and guide people to get started it is helpful to ask the 2 main questions:
What AI technologies will have a significant impact on the future of my business?
How can my businesses prepare for this?

In my opinion, there are mainly two directions for deploying/monetizing AI:
a) AI-driven automation combined with robotics to enhance efficiency, and
b) unbiased data creation to train algorithms on unique datasets for new breakthrough products and services.

And because no one can learn 100 new tools a day – and it doesn’t really make any sense either – my advice is to stay cool and ignore the noise. Don’t feel overwhelmed. Focus on your specific niche and use case, the specific problem you want to solve. Then – instead of learning all these tools and apply it – businesses need to invest in AI talent, manage data quality, and prioritize ethical AI practices.
It is better to consider hiring an AI strategist and a COO-type project manager to analyze processes, gradually implementing improvements. Focus on niche markets, identify pain points, and design data collection accordingly.

Also: AI is a team sport.
Understand that collaboration through blockchain tech and quantum computing is crucial for both a) and b). This integrated strategy, combining automation, ethics, innovation, and collaboration, maximizes customer experience and value generation.