Forbes discusses how enterprise AI spending can avoid automation pitfalls

On November 9, 2026, Forbes Innovation published an article examining enterprise AI spending strategies, with a particular focus on how organizations can avoid the error-prone stages of automation. The piece argues that one useful indicator for judging whether a redesign has succeeded is whether the time humans spend checking the work of AI agents is steadily decreasing. In the article's framing, a company should track how long it takes a person to review the output of an AI agent, and if that figure trends downward over time, the redesign can be considered working. The article is framed as a practical observation point for businesses that are trying to assess the payoff of their AI deployment efforts. At present, this is the only report available on the topic, and there are no further developments to report. Notably, the piece approaches the subject from the angle of measurement and evaluation rather than announcing a new product, funding round, or policy change. It also does not single out a specific company, sector, or AI model. Instead, its guidance is general in nature and intended to be applicable across different organizations that are deploying AI agents. The article's core suggestion, tracking human review time as a success metric, is a concrete, actionable idea for ops teams and business leaders who want to gauge whether their AI investments are actually reducing overhead rather than simply adding another layer of tasks. Beyond that one recommendation, however, the article does not detail additional metrics, cost figures, or case studies.