Salesforce的案例提供了警示：通过AI裁员虽然提升了短期效率，但也引发了“知识断层”。老员工带着对复杂业务逻辑的理解离开，而AI尚未完全学会处理那些非标准化的长尾问题，导致部分大客户的支持质量下降。
When productivity gains do arrive, companies won’t ease into them. They’ll act on them at scale—like Block, cutting headcount, consolidating workflows, and deploying AI agents across functions that once required entire teams. That, in Zandi’s framing, is the Cortés moment: not when companies start investing in AI, but when they commit to it so fully that reverting to the old model becomes unthinkable.
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And it needs deep extensibility. Users and AI must be able to write extensions that access the system’s internals, building custom tools, automation, and domain-specific reasoning engines. This is already happening: AI agents build their own proof strategies on top of the platform. The platform adapts to its users, not the other way around.，更多细节参见一键获取谷歌浏览器下载