Urgent.News

What's breaking now, across thousands of outlets.

AI

UAE investors look beyond AI stocks: 6 opportunities attracting interest

Dubai: For UAE investors holding global stocks, the latest selloff in artificial intelligence-linked companies raises a question: where can they find opportunities without depending heavily on a handful of technology giants? Fund managers are looking towards emerging markets, where lower valuations, higher dividend yields and businesses less exposed to AI spending are attracting interest. Get…

UAE investors look beyond AI stocks: 6 opportunities attracting interest

Dubai: As AI-linked stocks face a sell-off, UAE investors are exploring other opportunities to diversify their portfolios. Fund managers are focusing on emerging markets with lower valuations and higher dividend yields, such as India and China-Hong Kong. Indian equities have shown resilience, with the NSE Nifty 50 rising 2% on Friday.

Chinese and Hong Kong-listed companies are also attracting interest due to their higher dividend payouts. Healthcare companies in China, such as BeOne Medicines and Wuxi Biologics Cayman, have seen strong growth, while Latin American equities offer lower valuations and exposure to commodities, financial services and infrastructure.

Consumer goods and telecoms are another area gaining traction, as fund managers seek to reduce their exposure to AI-heavy sectors. Central and Eastern European financial stocks are also gaining attention for their lower direct exposure to AI infrastructure spending.

Written by urgent.news from Gulf News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at gulfnews.com →

More in AI

TensorRT-LLM vs SGLang: Blackwell FP4 Throughput, KV Cache Paging, and Speculative Decoding Showdown

The release of NVIDIA's Blackwell GPU architecture, featuring native 4-bit floating-point (FP4) Tensor Cores and fifth-generation NVLink interconnects, has redefined the performance frontier for…

  • TensorRT-LLM achieves higher tokens-per-second density than SGLang
  • SGLang's trie-based KV cache improves multi-turn agent performance
  • FP4 configuration reduces monthly compute costs by 50%

More from Friday 13 November →