AI implementation fails not because of the technology itself, but because companies treat AI as a plug-and-play solution without clear vision, using brittle static workflows that cannot adapt to organizational context, and having misaligned expectations about what AI can achieve.
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going to integrate it.
So, think about this. Generic tools like ChatGPT, Excel for individuals because they're flexible.
And they're adaptable.
You know, how these How are these companies attempt to deploy it AI in the scale?
They often use brittle, static workflows that can't learn or adapt to their organizational context or culture.
It's like trying to fit a square peg in a round hole and then wonder why it doesn't work. It's just a crazy methodology.
And the second is misaligned expectations and poor integration, which is this is the root cause and reason for failure.
Again, don't blame AI and the technology.
It's misaligned expectations and poor integration.
You know, here's why visionary thinking becomes so critical to the success of a technology like AI. Most companies are making poor decisions, not about which technology to use, but about how to integrate it into their operations without having a clear direction and vision and step process to how to execute it. They're treating AI like a plug-and-play solution.
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