Is the Success Rate of AI Investments 0%!? The Reality of ‘AI Psychosis’ and Systematic Concealment Consuming the World
What’s Happening? Overview of the News
- The Emergence of Collective “AI Psychosis”: Experts point out that leaders in both the private and public sectors worldwide are falling into a state of AI mania, rendering rational decision-making nearly impossible.
- Observed Success Rate of AI Projects is 0%: Over the past year and a half, every AI project that the author has been involved with, directly or indirectly, has failed, showing no substantial productivity improvements.
- Widespread Systematic Concealment: Executives, employees, and vendors alike are hiding the failures of AI projects out of fear of layoffs or plummeting stock prices, repeatedly issuing baseless “victory declarations.”
Why Does This Matter? Key Points to Note
- Meaningless Shift to “Agent Workflows”: Despite having few users, companies are becoming increasingly exhausted in their obsession with “agentification” to keep up with competitors.
- Intentional Ignoring of Metrics: Basic indicators like user retention rates and actual cost reductions are being deliberately avoided, creating a state where objective evaluation is impossible.
- Fatal Flaw of Documentation Deficiency: The dysfunction of internal chatbots is not due to AI accuracy issues; rather, it stems from low-quality corporate documentation and the lack of knowledge for LLMs to reference.
🦈 Shark’s Eye (Curator’s Perspective)
The accusation that everyone from the top executives to the floor staff is perpetuating the lie that “AI is delivering results” is more eerie than the darkness of the deep sea, folks!
The revelation that some companies are declaring victory simply for purchasing a Copilot license is a glaring example of the fragility of the current AI bubble. Many organizations are forcing through complex AI projects while struggling with basic software development, leading them to self-destruct. AI is not a “magic wand,” nor is it a “superhuman” capable of reading what’s not written. If your internal information isn’t organized, implementing AI will only churn out garbage at high speed!
What this article warns against is not the limits of technology, but the “madness of human organizations.” The state where no one can admit that the emperor (AI) is naked is creating a massive investment pitfall. Before getting swept away by the empty term “agents,” it’s essential to tidy up your own documentation!
What’s Next?
When the failures of AI projects can no longer be hidden, the market may face catastrophic adjustments surpassing a massive impairment of investments and a “AI winter.” The survivors will likely be those organizations that, instead of riding the wave of hype, have diligently organized their data to tackle concrete business challenges.
A Word from Haru Shark
Before you shout “We’ve won with AI,” make sure you can actually read your internal manuals! Trying to implement AI when there’s nothing inside is like a boneless shark trying to swim! 🦈🔥
Terminology Explained
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AI Psychosis: A collective psychological state where rational dialogue and judgment become impossible, leading to blind adherence to the intangible possibilities of AI.
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Agent Workflows: A system where AI acts not merely as a responder but as an autonomous “agent” executing tasks. Many companies are currently overusing this term without any real substance backing it.
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Metrics Avoidance: The intentional choice to not measure objective indicators (data) of success or failure, in order to deny project failures.