GoKawiilThe market doesn’t really take off until somebody manages to hide the ugly parts. That is precisely where corporate AI is right now. I still remember where I was when Steve Jobs walked onto the stage at the Moscone Center in January 2007. I was watching the livestream, and somewhere around the first demo I had the distinct feeling that the ground had shifted. Not because the iPhone invented anything—it didn’t—but because it made everything that already existed finally work together. That’s how he managed to spark the smartphone revolution.
Enterprise AI is waiting for its iPhone moment
Why This Matters
The piece argues enterprise AI today resembles pre-iPhone mobile: the underlying capabilities exist, but they're fragmented and hard to use, so mass adoption hasn't arrived. The implication for vendors and buyers is that the winners won't be those with the most novel technology, but those who package and integrate existing pieces into something that simply works. That framing matters because it shifts the competitive question from model breakthroughs to usability and integration.
Key Takeaways
- Enterprise AI is stuck at the stage where complexity is still visible to users, limiting broad adoption.
- The iPhone analogy: the 2007 launch invented little but made existing technologies work together seamlessly.
- Expect the breakout enterprise AI player to win on packaging and experience rather than raw innovation.
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