- A report by the Hana Institute of Finance points out the “AI productivity paradox”: individual efficiency increases, but overall business performance does not improve proportionately.
- AI has proven its ability to significantly boost productivity in fields such as programming, legal, and marketing, helping speed up work and improve quality.
- Agentic AI is going further, capable of planning and executing complex workflows, raising high expectations for economic impact.
- PwC forecasts that AI could help global GDP increase by up to 15% by 2035.
- However, many businesses have not yet converted AI investments into actual revenue or labor productivity.
- The main reason is that businesses implement AI without redesigning workflows, organizational systems, or strategies.
- Leaders often prioritize “flashy” AI projects for demonstration rather than deep integration into operations.
- AI tools are not customized to fit practical needs, making it difficult for employees to apply them effectively.
- “Shadow AI” occurs when employees use unauthorized external AI tools, posing security risks.
- Even when AI saves time, businesses fail to increase productivity if they do not reallocate resources to higher-value work.
- The report emphasizes the need to view AI as a core component, requiring organizational restructuring, infrastructure upgrades, and workforce retraining.
📌 Conclusion: AI is creating a major paradox: individual productivity is surging, but business efficiency is failing to keep pace. Despite the potential to boost global GDP by 15% by 2035, superficial implementation, lack of restructuring, and missing strategies prevent many companies from reaping true benefits. The key lies in deep operational integration, resource reallocation, and long-term investment instead of just following short-term trends.
