Three-quarters of AI's economic gains are captured by just 20 percent of companies, according to PwC's 2026 AI Performance Study — and OpenAI's release of GPT-5.5 on 23 April suggests the gap is about to widen further, as the model introduces efficiency and capability advantages that will take most organizations months to deploy meaningfully.
GPT-5.5 arrived with a headline metric that matters to developers and enterprises more than benchmark scores: it completes equivalent Codex tasks using 40 percent fewer tokens than its predecessor, GPT-5.4. That efficiency gain translates directly into operating cost. For companies running thousands of automated code reviews, test generation runs, or document analysis pipelines daily, 40 percent fewer tokens means roughly 40 percent lower inference bills at the same output quality — or the same budget buying substantially more throughput.
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