There is a learning curve with new technologies, but overcoming it is essential to fully utilize their potential.

The future of AI will depend on societal acceptance and the ability to build a comprehensive ecosystem that meets modern needs.

AI technology enables change but requires human involvement to implement and teach new skills effectively.

When evaluating new technologies, it's important to consider their long-term viability rather than just their initial hype.

As with any new technology, it takes time for people to become comfortable with agentic AI, similar to how we adapted to online transactions.

As technology evolves, the ability to write effective system prompts will become more accessible, similar to how computer usage has become commonplace for everyone, but not everyone will want to or have the initiative to do so.

Early adopters are typically open to using new software, even if it doesn't work perfectly at first, because they have real problems that need solving.

Understanding the different levels of comfort with technology among users is vital for product design, especially for late adopters.

To induce market acceptance of a major innovation, design and market it in a way that makes its adoption non-disruptive and easy to integrate with existing systems.