The effectiveness of turning technological achievements into real-world results doesn’t just rely on R&D investment; it also depends on how well different steps like identification, evaluation, pricing, and financing work together. Right now, AI is upgrading from a helpful tool to a key infrastructure in the tech service industry. By lowering information costs, accurately profiling results, and optimizing supply-demand matching, it’s helping achievements move from being “just presentable” to “tradeable, fundable, and industrializable.” Its real power lies in building a collaborative system of “data foundation, scenario validation, professional services, and governance,” rather than replacing experts. To make this happen, we need to speed up setting standards for achievement data, open up proof of-concept and pilot scenarios, improve AI-assisted evaluation and accountability mechanisms, and nurture multi skilled service providers to truly boost the impact and industrial contribution of these achievements.