AI Not Doing It? The Answer Is Simple, Dead Simple
February 4, 2026
Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.
Is AI failure easy to avoid? With hallucinations, incorrect output, and outright inability to follow a prompt, I think some of the AI outfits have a bit of work to do. Others see AI as the greatest thing since sliced bread.
“AI Projects Worldwide Are Failing in Businesses Because of This Simple Reason” suggests that a solution is close to hand and simple. People, especially those responsible for failing projects, like simple. Complex takes time, and a person piloting an airplane with no fuel does not have a great deal of time.
Solving AI related management and deployment issues is dead easy. Thanks, Venice.ai. Good enough.
The write up says that when it comes to AI:
CEOs often focus on ambition and opportunity, while IT leaders focus on practicality and feasibility.
One key to bridging the gap between leadership and workers is having a shared language. The AI is that employees know what the boss means when he / she says, “AI.” (To be frank, I am not sure what AI means. I have a hunch consultants shape “AI” into whatever it takes to sell an engagement.
There are a couple of other “simple” things to do. Are you ready?
Simple thing A: Whip up a practical AI road map. The bean counter knows where AI is heading: Cost reduction efficiencies. Other employees may have different thoughts.
Simple thing B: Align cultures. The idea makes sense in a high tech outfit where the profile of employees is similar to the differences among Oreo cookies in a shrink wrapped package. For humans is a company trying to pay staff and the bills, I am not sure about the alignment idea.
What’s the wrap up to this “AI is simple” analysis? Here you go:
Bridging the divide requires commitment, communication and clarity. It requires executives to appreciate technical realities and IT leaders to think strategically about business impact.
Like most consulting type output, the idea is to sound informed yet stick with ideas that encourage head nodding.
Several observations:
- With data that suggest AI is not the home run some said it would be, the fancy talk has to find a way to navigate to success. But will fancy talk result in a winning AI application?
- Will consulting speak, analytics to figure out what went wrong and why, and alignment deliver a competitive advantage? How is that working out for underwater outfits like OpenAI and its tether to the USS Microsoft?
- Have truisms that make the complex simple resolved the numerous problems AI seems to produce: Staff resistance, CEO belief, and mid level employee confusion?
Net net: AI has moved from its hype phase into its “how do we make this work?” There is, in my opinion, no simple solution.
Stephen E Arnold, February 4, 2026
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