According to Ethan Mollick on X, citing the GDPval benchmark for GPT-5.4, the new model ties or beats human experts on professional tasks 82% of the time, as judged by independent experts, and can save an average of 4 hours 38 minutes on a 7-hour task after accounting for retries and one hour of human review (as reported by Ethan Mollick). According to Mollick, OpenAI did not update Figure 7 from GDPval for GPT-5.2 long-form task success, so he used GPT-5.2 Pro to extrapolate and update the chart showing operational time savings and expert-judged performance (according to Ethan Mollick). For businesses, this implies immediate ROI opportunities in knowledge work automation—delegating long-form tasks to GPT-5.4 with structured evaluation loops can compress cycle times, reduce expert billable hours, and expand throughput while maintaining expert-level quality on most tasks (as reported by Ethan Mollick).