Companies are shifting toward cheaper open‑source AI models to rein in costs, Amazon CTO says
- Jul 12
- 1 min read

FORTUNE — “Cost is a very important part of your architecture, you need to take that into account,” Vogels said. “Do you really need to have the biggest, highest‑end model to solve this? The answer is no, you don’t.”
The shift also reflects a broader maturation in how companies are thinking about AI adoption. After an initial wave of experimentation fueled by hype and rapid advances in large language models, many organizations are now entering a more pragmatic phase focused on return on investment. That means scrutinizing not just what AI can do, but what it costs to deploy and maintain over time.
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