50 2026 TSMA 8. Strategic Outlook: From Resilience to Reinvention The convergence of AI, ESG, and shifting trade regimes demands not incremental change but strategic reinvention. Companies must now think in layers of time: • Short term: adopt AI tools to improve efficiency and visibility; • Mid term: integrate data ecosystems that connect design, production, and customer experience; • Long term: cultivate proprietary intelligence—algorithms, datasets, and operational know-how: that form the core of competitive advantage. Resilience becomes the new currency of value. In volatile environments, the ability to interpret, adapt, and self-correct—traits once associated with human judgment—must now be embedded in organizational systems themselves (OECD, 2025). Leading brands are already experimenting with closed-loop intelligence: systems that continuously learn from performance data, consumer behavior, and external signals to refine both strategy and execution (WEF, 2025). For Taiwanese manufacturers and regional suppliers, strategic partnership with AI solution providers is no longer optional. The next competitive frontier lies in intelligent collaboration: co-creating algorithms, sharing training data, and aligning with policy frameworks to form resilient, transparent supply networks. AI provides more than efficiency; it offers adaptive capacity: a way for companies to thrive amid uncertainty rather than merely survive it. 9. Conclusion: The Dual Turning Point At this historical juncture, the sporting-goods industry stands at a dual turning point: one driven by external forces of policy and sustainability, and another by internal forces of technological transformation. Artificial Intelligence bridges these dimensions. It transforms information into strategy, data into resilience, and production into learning. More importantly, it transforms the role of the industry itself: from a reactive manufacturing base to a proactive innovator within global value networks. The question for each company is no longer whether to adopt AI, but how deeply to integrate it into its
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