As more companies begin to adopt AI into their workforce and day-to-day processes, it will be interesting to watch how their learning curve is spread across knowledge workers.

SHOW: 920

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SHOW NOTES:

AI Horseless Carriages (AI user-experiences)

HOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “USERS”

The low-hanging fruit, simple on-ramp is the key to early AI adoption
Google and Microsoft are already showing revenue increases, likely through the productivity apps bundling
Expect prices to increase slowly, but frequently as adoption happens and companies get used to the knowledge worker productivity increases (or expectations)
Curious how knowledge workers are adopting, sharing, increasing their learning curve
Sharing still seems to be lacking within the AI tools. Not just sharing of an individual task, but sharing of learning curves, best practices, datasets
Is there a dataset collection opportunity? This feels like Big Data or Data Lake 5.0.

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The Early AI Journey and Learning Curve

The Reasoning Show