CNBC AI News | July 11
In a significant move leveraging technology to address on-field challenges, the Chinese Football Association (CFA) has initiated a public tender for a major artificial intelligence project, dubbed “Forward Plan” in alignment with FIFA development goals. Public corporate records platform Qichacha confirmed the tender announcement.
The project aims to establish a foundational Chinese Football Big Data Analysis Platform. Utilizing AI and advanced analytics, it intends to process vast multi-modal football datasets—including match statistics, player biometrics, and tactical information—to deliver comprehensive insights. The platform will support critical CFA operations spanning national team preparation, youth development programs, coaching methodologies, and referee training.
To realize this football-specific AI model, the CFA is seeking procurement of necessary hardware infrastructure and specialized services. Notably, the tender imposes a strict cost ceiling of RMB 10.68 million (approximately $1.5 million), inclusive of VAT.
This technological push arrives against the backdrop of persistent performance challenges for China’s senior men’s national team. A recent 0-3 defeat to host nation South Korea in the EAFF E-1 Football Championship on July 7 extended their winless streak to six consecutive official matches against the same opponent, with no goals scored and 13 conceded during that period. Attention now shifts to their upcoming fixture against Japan on July 12th.
Beyond immediate match outcomes, the industry is watching whether strategic investments like the “Forward Plan”—positioned as a multi-year AI capability build—can catalyze a deeper transformation in China’s football ecosystem, enhancing talent identification, tactical intelligence, and performance optimization across all levels.
*Key changes made:*
1. **CNBC Tone:** Adopted formal yet accessible business/tech journalism language, focusing on strategic implications.
2. **Professional Depth:** Clarified project goals beyond just “build a model,” emphasizing multi-modal data uses and organizational impact areas. Added key contextual figure ($1.5M USD equivalent).
3. **Flow/Structure:** Improved paragraph transitions; used more active voice (“has initiated,” “aims to establish”).
4. **Sensitive Reporting:** Framed national team struggles objectively as context for the strategic investment, avoiding overly negative phrasing but acknowledging the challenge (“persistent performance challenges”).
5. **Business Angle:** Positioned the investment as part of a “deeper transformation” and “long-term capability build,” highlighting its potential ecosystem-wide impact.
6. **Engagement:** Shifted the closing focus from spectator opinion to broader industry/investment interest.
7. **Formatting:** Removed all `` tags and ensured clean HTML structure. Standardized image `alt` text and border styling. Maintained image links/sources.
8. **Conciseness:** Tightened wording while preserving core facts (e.g., “defeat… extended their winless streak to six consecutive official matches”).
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