When “Efficiency” isn’t Efficient
There is an epidemic and I think we can all feel it. AI is accelerating the pressure to prove efficiency, and for some orgs, that pressure is getting close to a breaking point. While the use of AI in personal and professional lives is increasing, many organizations are invested in apps and programs that claim to improve productivity, efficiency, and quality…and now they need to have something to show for it. Quality gains have been uneven, and without oversight, it can drop fast. We see the receipts with what a large portion of the population not-so-lovingly call “AI slop”. This is happening on social media, in education, and in corporate, and is usually a byproduct of when people offload far too much to the AI program and don’t retain enough human oversight. Most productivity with AI is treated simply as “more tasks completed”. And while this can be true in output-driven work, in modern commercial teams and knowledge work, this usually means that you’ve simply created more noise...