6 ways to stop cleaning up after AI - and keep your productivity gains (www.zdnet.com)

A recent survey by Workday reveals a crucial challenge in the AI/ML landscape: while employees report productivity gains from AI, over a third of those benefits are lost due to the time spent correcting low-quality outputs. Out of 3,200 respondents, the survey indicated that an average employee loses approximately 1.5 weeks yearly to reworking AI-generated content, with only 14% achieving consistent positive outcomes from AI use. The paradox highlights how the rapid adoption of AI often leads to increased workloads and inadequate skill adaptations within organizations, resulting in a cycle of fixing instead of enhancing productivity. To mitigate these losses and better harness AI's potential, the survey authors advocate for several strategies. Companies should invest in employee development and skills training, reassess job roles to incorporate AI capabilities, and measure productivity based on value created rather than just time saved. Furthermore, leaders should encourage the use of saved time for enhancing collaboration and strategic thinking, rather than merely increasing task volume. By treating saved time as a strategic asset, organizations can optimize their AI investments, foster effective AI usage, and ultimately achieve sustainable value from their technology integrations.