AI began as a software story. Algorithms. Neural networks.
AI began as a software story.
Algorithms.
Neural networks.
Models.
Applications.
But that description is becoming incomplete.
AI is increasingly an industrial technology.
Software sits at the top
The model is what users see.
You type a question.
You receive an answer.
You ask for an image.
It appears.
You give an AI an instruction.
It performs a task.
But underneath the interface are physical systems.
Servers.
Accelerators.
Memory.
Networking.
Cooling.
Data centers.
Electricity.
Then AI enters the physical world
The distinction becomes even clearer with robotics.
An AI generating text is software.
An AI controlling a warehouse robot is software operating through hardware.
An AI managing a factory is software interacting with machinery.
An autonomous vehicle is software controlling a physical object.
Now errors have physical consequences.
Latency matters.
Sensors matter.
Power matters.
Reliability matters.
The AI economy starts touching manufacturing directly.
That's why the AI market is bigger than AI companies
The opportunity includes:
chips
robotics
energy
cloud
networking
industrial automation
data centers
cybersecurity
software
logistics
manufacturing
AI isn't simply creating another software category.
It may become a general-purpose technology layer underneath many industries.
And when that happens, the companies benefiting from it won't all call themselves AI companies.
What this means
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AI Is Not Just a Software Revolution
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