It’s likely that many enterprises have created — or are at least considering — AI policies that clearly lay out approved AI tools and their uses, set up training programs for employees to help them use the tools in their jobs, and establish guardrails around those systems to avoid issues such as security vulnerabilities and data bias.
But how many of these policies have received the blessing of employees? It’s a key question, because many workers are highly wary of AI.
They worry that it will cost them their jobs, either by taking over their work or because companies will cut jobs and use the savings to fund investments in AI research and infrastructure. They worry about AI-powered performance tracking software impacting raises and promotions. They worry about AI screening of job applications for future roles.
Even employees who have embraced AI to assist their work have reason to worry. Many say that using generative AI tools saves them time, but the time savings are eroded by “botsitting” — having to check and recheck output, provide missing context, fix errors, and go through multiple iterations before the desired outcome is achieved. They may also have to wade through “workslop,” low-quality genAI output that hasn’t been properly vetted by co-workers.
