The travel industry is currently divided on whether to publicly disclose the percentage of their software code generated by artificial intelligence, despite major tech companies touting this metric to show productivity and profitability gains. Critics argue that quantifying AI-generated code is a fundamentally flawed metricbecause it does not measure crucial factors like code quality, long-term maintainability, or efficiency, and it may even introduce testing overhead. Furthermore, revealing a high dependence on AI code could be interpreted by investors or competitors as a business weakness and raises serious intellectual property concerns regarding the AI model’s training data and potential copyright infringement. Experts suggest that travel companies should instead focus on measuring success through metrics like feature throughput, application scalability, or the percentage of the end-to-end engineering process that is autonomously handled or significantly accelerated by AI.
