The Path to Real AI Adoption
The most innovative technology is not always the one that succeeds, unless it can integrate with the trusted controls that enterprises already have in place. This paradox of enterprise innovation is evident in the recent earnings announcements of three major cloud vendors, all of which saw accelerated growth thanks to AI.
Nvidia, a leader in the field, became the first company to reach a market capitalization of over $5 trillion, also thanks to AI. However, despite the hype surrounding AI, it is unlikely that we have reached AI saturation. In fact, AI has yet to be widely adopted in mainstream applications at mainstream enterprises.
We may like the term 'vibe coding,' but smart developers are forcing the rigor of unit tests, traces, and health checks for agent plans, tools, and memory.
For AI to become truly mainstream, it must address critical issues such as security. Until then, its adoption will be limited. Author's summary: AI adoption requires solving boring issues like security.
- AI has yet to touch mainstream applications at mainstream enterprises
- Security is a critical issue that must be addressed for AI to become mainstream
- Enterprise innovation often favors trusted controls over new technology
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