2026全球人工智能效能研究中国报告

PwC Global AI Performance Study China Report Foreword As the integration of Artificial Intelligence (AI) with the real economy deepens, AI has emerged asa pivotal engine driving the transformation of the digital economy and a cornerstone for buildingcore corporate competitiveness. It also serves as a vital catalyst for enterprises to acceleratetechnological self-reliance and drive sustainable growth. According to PwC’s 2026 AI Performance Study, intense AI adoption has not yet translated intomeasurable returns for many enterprises. At this stage, value remains highly concentratedamongst a select few. Of the 1,217 global companies surveyed, only 20% of “AI leaders” captured74% of the economic gains driven by AI technology. What sets these AI leaders apart from other businesses, and where do Chinese enterprises standregarding their AI maturity? We conducted a comprehensive evaluationutilisingthe AI FitnessIndex, to measure the performance of each enterprise. Our research reveals that successful AIleaders are able to precisely pinpoint pain points, construct tailor-made infrastructure, and deeplyembed AI into theirorganisationalDNA. Bolstered by a strategic, national emphasis andsubstantial public-private investment, the AI capabilities of Chinese enterprises are advancingrapidly, narrowing the gap with global leaders and successfully securing a position within theworld’s first-tier echelon. By benchmarking the AI fitness indices of AI leaders, Chinese enterprises, and others, this reportexamines how leading companies translate AI development into performance growth. It alsoanalyses the competitive strengths and structural bottlenecks shaping the AI development ofChinese enterprises. Drawing upon the winning strategies of global leaders, the report offersactionable recommendations to help enterprises harness AI for sustainable revenue growth. “ Artificial intelligence is reshaping the global businesslandscape. Our 2026 Global AI Performance Studyclearly shows that systematic AI deployment candeliver significant value for enterprises. China’s AIapplication ecosystem is vibrant and dynamic,demonstrating remarkable progress in cross-industryintegration, with implementation practices that rankamongst the most advanced globally. As China’s AImarket continues to develop, it is giving rise to a widerange of innovative models that can offer valuableinsights for the global AI industry, support the digitaltransformation of the real economy, and contribute tothe development of the global digital economy. Hemione HudsonChair and CEO, PwC China KeyfindingsforChineseenterprises 1.Chinese enterprises1lead the world in AI fitness, surpassing the median values of global AIleaders across the majority of metrics. 2.Strong advantage in industry convergence: Chinese enterprises exhibit significantly higherpenetration of AI applications related to sector convergence—including cross-enterprisecollaboration, responsiveness to shifts in customer needs, and unlocking new value fromcross-sector ecosystems—than global AI leaders. In particular, the penetration rate of cross-sector collaboration is approximately2.3times higher than that of other companies globally. 3.Superior execution-layer implementation efficiency: Execution-oriented AI applications, suchas process automation and replacement of standardised operations, slightly outperform thoseof global AI leaders. Chinese enterprises demonstrate faster AI deployment and strongerexecution capabilities in scaling and rollout. 4.Gaps remain in closing the value loop: Although most enterprises have begun to focus on theactual business value of AI and have established strategic plans that combine short-and long-term horizons, their capabilities in systematically tracking AI’s business impact and executingstrategy still lag significantly behind global AI leaders. 5.Lower efficiency in converting innovation into value: Investment in innovation experimentationinfrastructure exceeds that of global AI leaders, yet there is a lack of mechanisms to expandfrom individual pilots to large-scale rollout. As a result, innovation outcomes tend to remainconfined to the pilot stage, limiting the long-term compounding returns on investment. Thephenomenon of “pilots are easy, while scaling and full implementation are hard” continues tobe widespread. 6.Trust and governance require further strengthening: The foundation of enterprise trust in AIremains relatively weak. Employees generally remain cautious about acting on AI-generatedinsights and have not yet integrated them into day-to-day decision-making to the same extentas global AI leaders. At the same time, most enterprises have yet to meet the regulatorystandards and compliance frameworks demonstrated by industry benchmarks. Clear room forimprovement exists in both willingness to apply AI and compliance capabilities. Contents 01AIperformancestudy forglobalenterprises05 I.Themost AI-fitcompanies aregetting a 7.2times AI-drivenperformance