Beyond Development: Why Using AI Effectively Is the Next Global Race

The global competition for artificial intelligence dominance is shifting its focus. While the United States remains the clear leader in developing sophisticated AI models and cutting-edge hardware, industry experts suggest that building the best technology is no longer enough to secure a long-term win. The next phase of the race depends entirely on integration and effective application.
To maintain its competitive edge, the U.S. must transition from being a primary laboratory for AI innovation to becoming a leader in its practical implementation. This involves embedding AI across vital sectors—including healthcare, logistics, and national defense—to transform raw computing power into tangible economic and strategic advantages. The focus is moving from theoretical capability to operational efficiency.
What to watch in the coming months is how quickly public and private sectors can overcome bureaucratic hurdles to adoption. While the technology exists, legal frameworks and workforce readiness remain significant bottlenecks. If American institutions fail to integrate these tools as rapidly as they developed them, they risk losing the strategic advantage to adversaries who may be faster at putting AI to work.
This analysis was originally reported by the Washington Examiner.
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Winning the AI race isn’t about building better AI. It’s about using it better
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