Why Rushing AI Adoption Leads to Low-Quality ‘Workslop’

New AI solutions continue to emerge, and models are steadily improving. Yet, despite the rapid pace of AI innovation, the technology still isn’t as advanced as many people believe. This gap is often due to misleading marketing, particularly around “agentic AI” operations, as well as human error and limited technical expertise.

Either way, we’re not quite yet at a place where AI can be trusted to run fully autonomously, making decisions or developing code independent of humanoversight.As the technology currently stands, human…