Companies are increasingly investing in autonomous systems powered by artificial intelligence, yet many expect to incur significant “AI debt” due to poor implementation practices, as revealed in Asana’s recent report. A staggering 79% of global firms anticipate financial and resource costs stemming from inadequate infrastructure and oversight. This “AI debt” includes security risks, poor data quality, and wasted time for employees, amounting to a productivity loss of $9 million annually. Experts emphasize the importance of a structured approach to AI adoption, advocating for pilot testing and proper training rather than rushing deployments. Digital burnout among workers has also surged, highlighting the need for clear use cases. Without thoughtful integration and guidelines, AI tools can lead to “workslop,” further complicating teamwork. Companies should focus on investing wisely in AI infrastructure and employee education to realize potential benefits without incurring substantial costs or operational disruptions.
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