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ZDNET's key takeaways
Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure.
Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI solutions.
Businesses that successfully implement AI are 85% more likely to have worked with third-party AI providers.
When it comes to AI, most people fit in one of three camps: They are enthusiastic supporters of AI who believe it will rapidly transform everything, or they are still -- somehow -- oblivious to AI, or they are skeptics who find most AI promises are overblown and unrealistic, and that many AI solutions today are broken and unimpressive.
Also: Gen AI disillusionment looms, according to Gartner's 2025 Hype Cycle report
I tend to sit somewhere between an enthusiast and a skeptic. I am extremely skeptical about most of the futuristic claims that tend to come from generative AI's biggest supporters, and I find the tendency of current AI models to make major (even catastrophic) mistakes a reason to pull back on the use of AI in most critical use cases.
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