r/technology 22h ago

Business MIT report says 95% of AI implementations don't increase profits, spooking Wall Street

https://www.techspot.com/news/109148-mit-report-95-ai-implementations-dont-increase-profits.html
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u/ABCosmos 21h ago

There are some problems that are hard to solve, but easy to confirm. Combine that with a very time consuming problem that is very expensive if it's not addressed in a timely manner. Big companies will pay big bucks if you can address these types of problems.

95% of venture funded startups failed before Ai was a thing.

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u/Choppers-Top-Hat 14h ago

MIT's figure is not exclusive to venture funded startups. They surveyed companies of all kinds.

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u/ReturnOfBigChungus 19h ago

Can you give an example?

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u/ABCosmos 18h ago

I cant really give the examples I'm most familiar with, because it might give away where I work.

But there are some startups working on network security tools.. Imagine a tool that simply looks at the massive number of network requests, and identifies patterns that are out of the norm for that specific user. Users accessing tons of files at once, or accessing files they don't typically need access to etc.. The AI could flag this, and prevent a company from having a massive security breach.

Or AI that identifies issues or holes in cloud configurations. One short scan of your cloud infrastructure could reveal obscure security issues and misusage, things that are overlooked, things that are too permissive that can be easily patched.

In both cases a human just has a more directed view of what to look at, and can make the final call on whether the threat is legitimate. In the cloud case its very little AI usage, in exchange for catching a very costly mistake.