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      • Profile photo of Sinchana Adiga

        Sinchana Adiga posted an update

        4 hours ago

        Newsletter

        Digital Storm Newsletter

        AI is already boosting productivity at a macro (economy-wide) level, but many companies cannot yet see ROI internally.

        This is not a failure of AI—it reflects a normal phase called the productivity J-curve.

        What is the AI Productivity J-Curve?

        • When a major technology is introduced:

          • Short term: Productivity appears to drop or stagnate

          • Long term: Productivity rises significantly

        • The initial dip happens due to:

          • Learning curves

          • Inefficient early implementations

          • Existing workflows not being redesigned

        Real gains emerge only when organizations restructure how work is done, rather than layering AI onto old systems.

        Why AI ROI Feels “Invisible” in Companies

        Even with rising AI adoption:

        • It is often applied to isolated tasks, not entire workflows

        • Organizations continue using legacy processes

        • Benefits are fragmented and difficult to measure

        • Employees are experimenting rather than transforming operations

        As a result, ROI exists but is delayed and not immediately visible.

        Why Productivity Gains Are Visible at the Macro Level

        • Early adopters and tech-driven firms are scaling AI effectively

        • Small improvements accumulate across the economy

        • Some sectors have already integrated AI deeply, showing measurable gains

        How to Know If You’re Climbing the J-Curve

        Instead of relying only on traditional ROI metrics, track:

        • Faster task completion

        • Increased output per employee

        • Reduced cycle times

        • Growth in automation

        • Transition from manual to AI-assisted workflows

        These are leading indicators of future ROI.

        Key Takeaway

        AI does not create value on its own.
        Value comes from redesigning workflows, roles, and operating systems around AI.

        What CEOs Should Do

        1. Move from experimentation to full workflow redesign

        2. Focus on end-to-end transformation, not isolated tools

        3. Redefine roles and responsibilities

        4. Track new productivity metrics beyond traditional ROI

        5. Integrate AI into the core operating model

        Bottom Line

        AI ROI is real but delayed.
        Organizations that treat AI as a simple tool will struggle to see results.
        Those that treat it as a system-level transformation will unlock significant productivity gains.

        https://drstorm.substack.com/p/the-ai-productivity-j-curve-ceos?utm_campaign=email-half-post&r=5xcpdm&utm_source=substack&utm_medium=email

        drstorm.substack.com

        The AI Productivity J-Curve CEOs Must Understand Before It’s Too Late #154b

        Join the community seeking facts, not opinions. Over 570.000 people have chosen "DIGITAL STORM weekly" for unlocking unbiased AI knowledge.

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