While many companies are experimenting with replacing human workers using AI, real-world outcomes suggest mixed results. Studies show that a large percentage of businesses adopting AI tools have not achieved meaningful revenue growth, and some have had to rehire employees after automation failed to meet expectations.

One key issue is the rise of low-quality AI-generated output that requires significant human correction, creating inefficiencies rather than reducing workload. As companies continue to invest in automation, the gap between AI capabilities and real-world job requirements remains a central challenge in determining how much work can realistically be replaced.