Author's): Luca Derumier
Originally published in Towards Artificial Intelligence.
Why 95% of AI automation projects fail
As CTO in KodikaI spend a lot of time talking to business leaders about automation. These conversations have been following a predictable pattern lately. They start with excitement – “2025 is the year of AI agents!” — and end with frustration: “We tried to automate X, but it didn't work.”

The article discusses the alarming failure rate in AI automation projects, attributing the 95% failure rate primarily to underlying issues rather than superficial challenges such as data quality or integration complexity. It highlights the paradox that, despite the market recognizing the potential of artificial intelligence, most companies have difficulty turning automation ideas into successful implementations. The author highlights that the real challenge is the “translation barrier”, where the original business requirements are blurred by layers of technical translations, ultimately hindering project success.
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