en.Wedoany.com Reported - Domestic AI industry support policies are undergoing a comprehensive shift from technology R&D-driven to scenario implementation-driven, with multiple regions recently rolling out a new wave of measures. The Beijing Municipal Bureau of Economy and Information Technology has initiated the public solicitation for the third batch of 2026 Artificial Intelligence empowering new industrialization high-quality dataset construction units, while the Shanghai Zhangjiang Science City Management Committee has also opened the application channel for the second quarter special voucher policy for the Zhangjiang AI Innovation Town.
Since the beginning of this year, AI industry support policies across various regions have exhibited three major characteristics: a shift from technology R&D-driven to scenario implementation-driven, a transition from universal support to targeted guidance, and a continuous strengthening of market orientation in policy support. Song Xiangqing, Vice President of the China Society of Commercial Economics, told reporters that this evolution not only reflects the phased characteristics of the AI industry moving from technological breakthroughs to value realization but also provides clear guidance for enterprises' strategic layout in different regions and fields.
Market orientation is accelerating the replacement of traditional subsidy models. A review of local detailed rules by reporters reveals that scenario application incentives have become the fastest-growing type of subsidy, with individual project support amounts generally ranging from 1 million to 20 million yuan, and allocation ratios maintained between 15% and 30%, covering vertical fields such as industrial manufacturing, government services, finance, and healthcare. Policy support is shifting from "broad-spectrum" general technology support to "precise drip irrigation" targeting specific vertical domains. For example, in May, Shanghai issued the "Several Measures to Accelerate the High-Quality Development of AI-Empowered Micro-Dramas in Shanghai," offering up to 3 million yuan in rewards for outstanding AI micro-drama projects. Notably, the "Several Measures to Support the Improvement of Quality and Efficiency of Industrial Enterprises in Beijing" issued in June proposed supporting enterprises in purchasing and consuming tokens for AI applications, providing financial support to eligible enterprises based on their actual token usage.
Support methods are transitioning from pre-project direct allocation to "rewards instead of subsidies" and "post-project subsidies" models, deeply tied to enterprises' actual market performance. For instance, for high-quality solutions that are the first to apply and implement industry-specific vertical large models, Beijing provides support at 15% of the actual non-hardware portion of the recovered payment, with a cap of 30 million yuan per enterprise. Fu Yifu, a special researcher at SuShang Bank, believes that this market-oriented, post-hoc incentive mechanism abandons the drawbacks of traditional subsidies that "emphasize project approval over implementation," using market revenue and industrial empowerment as evaluation criteria, thereby making enterprises more focused on real needs.
Tax invoice data from the State Taxation Administration shows that from January to May this year, sales revenue from robots and intelligent in-vehicle equipment manufacturing increased by 27.7% and 46.3% year-on-year, respectively, indicating a continuous improvement in the level of AI-empowered industrial intelligence. Experts predict that future policy directions will include: a rapid shift in subsidy focus towards implementation scenarios, an upgrade of policy tools from single financial subsidies to diversified combined empowerment, and continuous improvement of cross-regional industrial collaboration and supporting mechanisms.
