AI Strategy for the Future: The Smartest or the Most Useful?
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AI continues to evolve rapidly—but as breakthroughs accelerate, a new question is emerging:
Should we focus on building the smartest AI in the world, or the kind that actually solves problems?
Some companies are racing toward cutting-edge intelligence in the lab. Others are prioritizing real-world application—AI that improves processes, reduces costs, and helps industries operate more efficiently.
This divide between research-driven innovation and business-focused implementation is shaping how AI is built, funded, and adopted.
But beyond billion-dollar models, what really matters is: What kind of AI will actually reach more people, more industries—and make a difference?
💡 What you’ll find in this edition:
✅ Two strategic directions: innovation vs. commercialization
✅ Why making AI more practical could open the door for broader adoption
✅ What recent shifts in business and market behavior suggest about how AI is evolving
As history shows, it’s not only about building powerful tools—it’s also about how they’re shared, adopted, and applied. What defines the future of AI isn’t intelligence alone, but how broadly and responsibly it can be applied.
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AI Strategy for the Future: The Smartest or the Most Useful?
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