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TZID:Asia/Shanghai
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UID:20260709T112157Z - 28074@iZuf69e0i0z4ibdboqb33jZ
DTSTART;TZID=Asia/Shanghai:20260404T130000
DTEND;TZID=Asia/Shanghai:20260404T150000
CREATED:20260709T112157Z
DESCRIPTION:<a href="http://popcornclubshanghai.com/event/the-two-tier-ai-e
 conomy-the-gap-between-companies-using-ai-right-wrong-45371/register">The 
 Two-Tier AI Economy: The Gap Between Companies Using AI Right & Wrong </a>
 \nWhat if the biggest divide in business today isn’t industry\, size\, o
 r even talent\, but how seriously companies take AI? Why are some organisa
 tions accelerating ahead while others\, seemingly just as capable\, are fa
 lling behind? In this discussion\, Omar will unpack the idea of a “two-t
 ier AI economy”\, a growing split between companies that treat AI as a c
 ore 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 th
 an most leadership teams realise\, and why early decisions around AI aren
 ’t just technical\, they’re structural\, strategic\, and incredibly ha
 rd to reverse. But this goes deeper than tools and trends. What if the rea
 l bottleneck isn’t AI capability\, but the systems and infrastructure co
 mpanies are built on? Networks designed for a different era\, decision-mak
 ing processes that can’t keep up\, cultures that resist change\; how muc
 h 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 y
 ou see the landscape more clearly\, and maybe rethink where you (or your c
 ompany) 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。
DTSTAMP:20260709T112157Z
LOCATION:China\,\, Shanghai
SUMMARY:The Two-Tier AI Economy: The Gap Between Companies Using AI Right &
  Wrong 
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