The Gulf’s ambitious bet on AI - FT中文网
登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
人工智能

The Gulf’s ambitious bet on AI

It must improve skills and regulation to grasp the opportunity

The phrase “data is the new oil” has added meaning in the Gulf. Leaders in the region are investing heavily in artificial intelligence to diversify and modernise their fossil fuel-dependent economies. “Instead of exporting oil, we will export data,” said Saudi Arabia’s minister of finance, Mohammed al-Jadaan, early this year.

The ambition makes sense. AI requires lots of capital, land and energy. The Gulf has all those in abundance. Humain, Saudi Arabia’s new state-owned AI company, is backed by the country’s $940bn Public Investment Fund. Abu Dhabi, which manages $1.7tn in sovereign wealth funds, is investing through AI fund MGX. Last month, during President Donald Trump’s visit to the region, both funds helped to develop partnerships with US tech companies, securing access to chips and talent in exchange for money and data centre hosting facilities.

The timing is apt too. The International Energy Agency forecasts oil demand to peak by the end of this decade. Done well, the Gulf’s foray into AI could drive up investment, improve productivity and ease cost burdens in the region’s hefty civil services. According to McKinsey, AI adoption could boost the Gulf Cooperation Council economies by $150bn. But success is not guaranteed. Significant hurdles lie in the way.

The Gulf has a spotty record historically in delivering on efforts to diversify its economy. Riyadh is already spending hundreds of billions of dollars on grandiose “giga projects” that have run over budget. With falling oil prices putting more pressure on public finances, the region will need to be more focused with its AI strategy. It has the resources to tap into the rising global demand for data-processing capacity. But it should not rely too heavily on hosting companies’ data centres to drive growth. The vast amounts of energy and water the facilities suck up risk sapping other parts of the economy.

The region can achieve more sustained growth from AI by encouraging adoption in its strategic industries. This includes manufacturing, port management and energy infrastructure. For instance, Saudi Aramco, the kingdom’s oil company, has already been using AI to detect blockages and leaks. The UAE’s urban centres are also particularly well positioned to generate growth from AI integration, given its applications in finance and smart city infrastructure. Sensibly, these areas are the focus of the emirates’ 2031 AI strategy.

But access to skills and talent is a limitation. Right now the UAE in particular is able to lure talented tech experts from abroad with high salaries and low taxes. However, to develop a resilient, self-sustaining AI ecosystem, the region will need to invest more in nurturing tech skills and start-ups at home, through tech institutes and its universities. Improving training and education more generally is crucial, too, to cushion the effects of tech-driven job displacement. A 2022 study showed that students in the UAE perform worse than the OECD average in maths, reading and science. In Saudi Arabia, AI-related roles reportedly suffer from a 50 per cent hiring gap, with machine learning and data science the most sought-after skills.

Finally, the Gulf will need to develop a robust regulatory framework for AI. Foreign companies will rightly be cautious about handing over their data to entities controlled by the region’s autocratic rulers, who could use it for nefarious means such as surveillance. If they want to host data centres, utilise private data to improve public services, or encourage AI experimentation, Gulf countries will need to show themselves to be trustworthy custodians.

Data may indeed be the new oil. But driving long-term economic growth from AI won’t be as straightforward as building rigs and pipelines.

版权声明:本文版权归FT中文网所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。

一周新闻小测:2026年1月10日

您对本周的全球重大新闻了解如何?来做个小测试吧!

委内瑞拉能偿还其债务吗?

马杜罗的下台为一场规模庞大且复杂的债务重组打开了大门。分析人士估算中国给委内瑞拉的贷款约为150亿美元。

量子计算机会发出怎样的声音?一位艺术家和一位科学家即将给出答案

他把猴子训练成侍者,用蜜蜂做成雕塑——接下来,皮埃尔•于格将与物理学家托马索•卡拉尔科一道踏入量子领域。

如何给像英伟达这样的公司估值?

它是人工智能领域的明星企业,但它的股价现在肯定太贵了。

延斯-弗雷德里克•尼尔森:身负重压的格陵兰领导人

这座北极岛屿的34岁首相正处于全球最具意义的地缘政治博弈中心。

谷歌的卡武克丘奥卢:将抽象的AI思维转化为用户友好的产品

这家科技巨头的首席AI架构师兼DeepMind首席技术官讨论了Gemini 3大型语言模型以及向通用人工智能目标迈进的最新进展。
设置字号×
最小
较小
默认
较大
最大
分享×