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The AI Productivity Paradox: Why is AI visible everywhere except in your Organization’s P&L? And Why History, Not Technology, Holds The Key To Your ROI
We are in the middle of a multi-billion dollar contradiction. Companies are pouring capital into AI, but over 80% are reporting no significant impact on the bottom line. It’s the ghost in the machine: AI is everywhere, except in the productivity statistics.
Why? A staggering report reveals that while AI is 90 times faster than a human expert at a raw task, that advantage plummets to a mere 12% net gain in a real-world workflow, eaten alive by the "hidden taxes" of human oversight.
In this episode, we argue this isn't a failure of technology—it's a crisis of strategy. We’re making the same mistake factory owners made with the electric dynamo a century ago: plugging 21st-century tech into 20th-century workflows.
We’ll break down the "unit drive" for the modern age, the critical 1-to-9 investment rule, and how to master the craft of "agent engineering" to triple your gains now. This isn't about task substitution; it's about system-level reinvention.
This is the AI Productivity Paradox, explained.
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By Asif HasanWe are in the middle of a multi-billion dollar contradiction. Companies are pouring capital into AI, but over 80% are reporting no significant impact on the bottom line. It’s the ghost in the machine: AI is everywhere, except in the productivity statistics.
Why? A staggering report reveals that while AI is 90 times faster than a human expert at a raw task, that advantage plummets to a mere 12% net gain in a real-world workflow, eaten alive by the "hidden taxes" of human oversight.
In this episode, we argue this isn't a failure of technology—it's a crisis of strategy. We’re making the same mistake factory owners made with the electric dynamo a century ago: plugging 21st-century tech into 20th-century workflows.
We’ll break down the "unit drive" for the modern age, the critical 1-to-9 investment rule, and how to master the craft of "agent engineering" to triple your gains now. This isn't about task substitution; it's about system-level reinvention.
This is the AI Productivity Paradox, explained.