AI has fixed my productivity (blog.dmcc.io)

A recent Fortune survey revealed that thousands of CEOs believe AI has not improved productivity or employment, a sentiment being used by skeptics as a sign of AI's failure. However, the author argues that the lack of measurable impact stems from organizations mismanaging AI deployment rather than the technology itself being ineffective. The author shares personal productivity enhancements achieved through AI tools like Claude for coding assistance, Granola for meeting transcriptions, and other applications that streamline tasks. This highlights the importance of granular, targeted AI integrations rather than generic usage. The key takeaway is that many companies have not invested the necessary time in understanding how AI can fit into specific workflows, with CEOs measuring productivity on a macro level rather than recognizing the individual benefits. The survey results may overlook the significant, cumulative effects of AI on personal productivity—time reclaimed and enhanced focus. Additionally, the author addresses the tension between productivity gains and privacy concerns, emphasizing the need for better data governance in organizations that adopt AI tools. Ultimately, while AI tools are capable of improving individual productivity, their benefits depend on intentional and informed deployment.