What if the biggest divide in business today isn’t industry, size, or even talent, but how seriously companies take AI? Why are some organisations accelerating ahead while others, seemingly just as capable, are falling behind? In this discussion, Omar will unpack the idea of a “two-tier AI economy”, a growing split between companies that treat AI as a core foundation of how they operate, and those that still see it as a side project or experiment. We’ll explore why this gap is widening faster than most leadership teams realise, and why early decisions around AI aren’t just technical, they’re structural, strategic, and incredibly hard to reverse.

But this goes deeper than tools and trends. What if the real bottleneck isn’t AI capability, but the systems and infrastructure companies are built on? Networks designed for a different era, decision-making processes that can’t keep up, cultures that resist change; how much of this is already locking organisations into the “wrong tier”? And if a company is already behind, what does catching up actually look like? Whether you’re deeply involved in tech or just trying to understand the forces shaping the future of work and business, this session will help you see the landscape more clearly, and maybe rethink where you (or your company) stand within it.

如果说现在商业世界最大的分化，不是行业、规模，甚至不是人才，而是公司对AI的重视程度，会怎么样？为什么有些公司在一路加速，而另一些看起来同样有实力的，却在慢慢掉队？

这场讨论里，Omar 会带大家拆解一个越来越明显的现象——“AI分层经济”。简单来说，就是一部分公司已经把AI当成核心基础，深度嵌进日常运作里；而另一部分还把它当作一个边缘项目，或者试试看而已的工具。

我们会聊，这种差距为什么正在比大多数管理层想象得更快地拉开，以及在AI上的早期决策，其实不仅仅是技术问题，更是结构、战略层面的选择，而且一旦做错，想回头其实挺难的。

但这件事不只是“用什么工具”这么简单。更深一层的问题是：真正的瓶颈，可能根本不在AI本身，而在公司原本的系统和基础设施上。比如为旧时代设计的网络架构、跟不上节奏的决策流程、还有抗拒变化的组织文化——这些东西，有多少其实已经在无形中把公司锁在“用错的那一层”？

如果已经有点落后了，那“追上来”到底意味着什么？是换工具、换人，还是要动更底层的东西？

不管你是已经深度参与技术，还是只是想搞明白未来工作和商业到底会往哪走，这一场都会帮你把整个局面看得更清楚一点，也顺便重新想一想，你（或者你的公司）现在大概处在哪个位置。