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The biggest news out of Tuesday’s US midterm elections: Democrats won big, seizing control of both houses of Congress and ensuring a bumpy road for President Trump and his allies — including some AI companies and executives — during his final two years in office.
Trouble on the horizon: Even before the election, financial filings from AI companies including Meta were suggesting that a Democratic win could herald the end of Trump’s laissez-faire approach to AI and create business complications, such as new taxes and regulations. Here are details via Bloomberg.
The secondary, but highly consequential news: US voters are fed up with data centers.
As of Wednesday, voters had opted to ban or restrict data center construction in 33 of 40 districts where the issue was on the ballot, according to a tracker managed by the data science firm Redbud Consulting. The “restrict” option was ahead in six other races. Only one voted to allow data center building, the firm found.
Not in my backyard: 56% of midterm voters said they considered AI and data centers to be a major or crucial factor in their vote and 76% said they would oppose the construction of a data center in their community, according to an exit poll conducted by NBC News. (Data center concerns ranked behind other big priorities for voters including government corruption, the war in Iran and affordability.)
Lawmakers who supported data center construction also got trounced at the ballot box. Texas Gov. Greg Abbott, a Republican and a supporter of data center construction who later reversed course and ordered a moratorium on them, was unseated by Democrat Gina Hinojosa, who was firmer in her opposition. Sen. Jon Husted, an Ohio Republican and data center industry champion, lost to Democrat Sherrod Brown, a former senator who promised to hold Big Tech accountable.
Out of this world: Tech bajillionaire and space entrepreneur Elon Musk, whose SpaceX has plans to build orbital data centers on satellites, quipped on X, “Data centers in space looking pretty appealing right now.” Musk, who owns X, spent heavily (specifically, more than anyone else in any election in prior human history) to support pro-tech Republicans in the race, including Abbott.
What’s the takeaway for MENA?
First, everything the major AI companies do will be a little more complicated from now on. That includes deals to supply top-level AI chips to the UAE and Saudi Arabia — deals that might get swept up in Democratic-led congressional investigations as we reported last week.
Unclear outcomes: A tighter leash from the US government might lead some AI companies to be more cautious about big building projects, including those planned for the MENA region. Or, conversely, a tougher building environment in the US could spur more construction abroad in countries where there’s less vocal opposition from citizens.
Watch the public angst: Much of the mounting US opposition to data center construction likely comes down to the simple, obvious stuff — data centers are noisy; they’re eyesores; they suck up electricity and water and stick their neighbors with the bill.
But hostility to data centers also likely reflects a broader animosity to AI, which people fear will steal their jobs and their livelihoods. And animosity toward AI companies and their leaders, who people see making incredible profits from technology that may ultimately harm average working people. (See, for example, Musk’s election spending, which equaled approximately the lifetime earnings of 278 average working Americans.)
That’s an animosity that could spread to MENA and elsewhere if the negative effects of AI turn from speculation to reality, potentially prompting an anti-machine sentiment like we haven’t seen since the Industrial Revolution — back then, the original Luddites broke into factories at night and destroyed the machines that were displacing them. — Joe
Now, let’s get to today’s Lede, which looks at US vs. China competition in the Gulf tech sector.
The US is far ahead in the race to become the Arab world’s preferred partner for its costliest, highest-profile AI projects, but China remains a forceful competitor. And in an industry moving this fast, it’s not crazy to think that China could capture significant market share from the US in the medium-to-long term.
Playing prognosticator: That shift, if it happens, will likely be driven both by Chinese advances in AI technology and by MENA nations’ anxiety about being overreliant on the US — or any single nation — when it comes to a technology that appears on track to become more important to their economic and national security than any previous tool, analysts say.
Facing an AI future: “We’re going to live in a world where AI is going to be doing everything from taxes to social welfare benefits to census data to medical care. That infrastructural layer of our society is going to be foundationally important,” Nick Shafer (LinkedIn), an emerging markets strategist focused on MENA and technology and an adjunct professor at the University of California-Berkeley, tells EnterpriseAM. “In a world where there’s no policy stability over what AI regulations will look like a year from now, that means that every country has to hedge their bets.”
There’s no question the US is leading in much of MENA+ now — by a lot:
Microsoft, Amazon, and Oracle alone have pledged roughly USD 40 bn to Gulf AI projects over the next decade, and US firms including OpenAI and Nvidia are key partners on major data center projects with the UAE AI champion G42 and Saudi champion Humain.
The US Commerce Department cut a deal that allows Saudi Arabia to purchase up to 35K top-of-the-line AI computer chips from Nvidia and a far more generous deal that allows G42 and its cloud division Core42 license-free access to those chips until at least April 2027. Under the terms of the pact, G42 is at least considering becoming a US company.
Publicized Chinese AI commitments by Huawei, Tencent and Alibaba, by contrast, total just about USD 1 bn (though this likely undercounts their actual activities in the region).
But that doesn’t tell the whole China story. The country has deep technology ties to MENA that predate the AI revolution, including Huawei’s position as a key 5G supplier across the region; the company’s in-country cloud regions in Egypt, the UAE, and Saudi; the sale of AI services to major network operators across MENA; and significant ties on clean energy and electric vehicles, particularly in the UAE and Egypt. Notably, many of those are areas of tech where the US isn’t super-competitive globally — and all of which could be a basis for future AI cooperation.
PLUS: China’s open-weight AI models are proving popular with MENA companies that don’t want to rely on Western, cloud-based alternatives — either because data sovereignty requirements mean they have to steer clear of the cloud or because they’re wary of being too dependent on the US. This is especially true of businesses outside the big regional AI powers in the Gulf.
AND: Chinese tech (and non-tech) companies of all sizes are investing aggressively across MENA+, particularly in Egypt, Saudi, and the UAE. Chinese smartphone makers have a 35-40% market share at any time, per our analysis of data from Statcounter and Omdia, with Honor, Xiaomi, and Vivo being the big players. Major Chinese brands and South Korea’s Samsung have made Egypt a center of smartphone assembly, pumping out more than 20 mn units a year for sale across Africa and the Middle East.
The US has given Arab countries good reasons to hedge their bets. Most significantly, the Trump administration temporarily yanked access to Anthropic’s Fable 5 and Mythos 5 models for foreign customers in June over security concerns, raising the specter of MENA companies having to replumb their entire AI setups at the whim of US leadership. “If you’re aligning with a partner and then you see that you might not be getting the full package, you’re like, ‘Okay, let me go see what else is on the market,’” Yanis Ben Amor (LinkedIn), a Columbia University researcher focused on AI and public health and executive director of Columbia’s Center for Sustainable Development, tells EnterpriseAM.
The view from the frontlines: “The issues we saw earlier this year led to a really significant amount of concern across our African and MENA customer base,” Lorcan O Cathain (LinkedIn), co-founder of Lua AI, a platform that helps companies develop AI agents, tells EnterpriseAM. “That was one of the first times where companies really started to think about, ‘What happens if somebody locks me out of my model?’”
Why is the US so dominant in MENA AI? Start with the basic technology. US-designed AI chips and frontier models are several months ahead of Chinese competitors in the raw power of their technology and several years ahead in translating those advances into large-scale production, according to analysts. The major Gulf players simply can’t afford to be that far behind the bleeding edge as they’re banking on AI to transform their economies into technological powerhouses.
Infrastructure lock-in: Plus, once they’ve partnered with US firms on tens of USD bns in AI infrastructure (the UAE’s Stargate AI data center cluster alone is projected to cost more than USD 30 bn and is being built in partnership with OpenAI, Nvidia, and numerous other US firms), switching becomes incredibly expensive — probably prohibitively expensive, at least in the short term.
Harder to pivot: “Once American firms and Gulf partners have built that infrastructure together, it becomes much harder to pivot suddenly toward another technological ecosystem,” Vincent Carchidi (LinkedIn), a defense industry analyst at the US firm Forecast International, tells EnterpriseAM. “That's why infrastructure matters so much. Models can change relatively quickly. Infrastructure can't.”
Plus there’s the broader geopolitical relationship. For the Gulf AI champions and sovereign wealth funds, the US is basically a must-have partner on AI because it’s also the region’s security guarantor and producer of many of its advanced weapons systems. There’s no way to pivot toward China without endangering that relationship and leaving the Gulf even more vulnerable to attacks from Iran.
So they’re keeping their distance from China to some extent. The UAE’s G42 fully divested from Chinese partners under US pressure, a factor in the Trump administration’s July decision to give G42 broad access to buy top-of-the-line Nvidia chips. (The official announcement of the deal cited the UAE’s cooperation during the Iran war and help securing US technology.) Saudi’s Humain has agreed not to let Chinese frontier AI models train using its computing power, as a condition of obtaining US chip export licenses.
But they’re also keeping their options open. Both nations maintain strong relationships with Chinese tech and Saudi Arabia has resisted fully decoupling from China on AI. Humain, in particular, has some China ties, including partnering with the Chinese lab MiniMax to build an Arabic-language frontier model.
Those nations have also clearly grown frustrated with the US as a security partner this year, as they suffered the brunt of drone and missile attacks from Iran during a war started by the US and Israel — and as they suffered the economic fallout from Iran’s stranglehold on the Strait of Hormuz. Saudi Crown Prince Mohammed bin Salman has repeatedly sought President Trump’s help responding to attacks from the Iran-allied Houthis, who have closed off Saudi’s access to the Red Sea’s Bab el-Mandeb Strait, an alternate route to export oil, and struck Riyadh’s main airport. Trump called off planned US strikes on the group at the last minute in September and still hasn’t acted on his October pledge to decide “very quickly” whether to join Saudi strikes.
DIY AI?: The UAE and Saudi Arabia are also pushing to develop their own full stacks of AI infrastructure — not just data centers and computing power, but their own large language models and AI services. Egypt is also developing national LLMs. This will give them comparatively more independence from both the US and China than nations that are totally reliant on the two global leaders for AI access.
To be sure: Even super-developed AI services out of the UAE and Saudi Arabia won’t be able to compete anytime soon with the most cutting-edge AI out of the US and China and those nations will still be dependent on the US for advanced computer chips and the most state-of-the-art frontier models. Huawei has yet to make a sale of cutting-edge chips in MENA, but has been reported to be discussing a landmark deal to sell Egypt chips for inference and training.
The UAE and Saudi are on track to remain more independent from the US and China for their AI than nearly any other country on the globe — and could enjoy the relative economic autonomy that comes with that status. “Every middle power worth their salt is trying to create a G42 or a Humain or a Mistral [the French AI firm] now because they see that reality coming,” Nick Shafer, the market strategist, says. “[The Gulf] is ahead of the pack, but the rest of the world is going to try to do the exact same thing. They’ll just be doing it 20 years behind.”
Nvidia is making it harder for Chinese companies to use its chips. The chipmaker has told its cloud computing clients that at least 51% of their services must go to non-Chinese companies, the Financial Times reports, citing five people it says have knowledge of the matter. There were no such restrictions before.
Why it matters: US export controls bar some of Nvidia’s most advanced chips, like the B300, from being sold in China. Many Chinese tech companies have instead relied on renting computing power from data centers abroad for advanced AI work, including training models.
Why now? Nvidia adopted the rule over the summer to head off criticism from US lawmakers over its approach to China and its sales teams have verbally passed the instructions to customers, two people told the FT. The rule only covers new contracts, not existing leases.
The squeeze: Data centers outside the US are scrambling to find non-Chinese clients and could be forced to shrink if they can’t. “If strictly implemented, it will definitely hurt business,” one Singapore-based group told The Financial Times.
Pricey in China: A rack of Nvidia’s B300 chips that sells for about USD 600k internationally fetched about USD 2.8 mn in China last month, the FT says. The US prohibits selling those chips directly to China, but there’s a thriving black market for them.
The Gulf angle: The rule applies to Nvidia’s clients worldwide, not just data centers in Asia, two of the people told the FT. In the Gulf, the US gave a handful of UAE firms license-free access to Nvidia’s top chips in July, and Saudi Arabia’s Humain has approval to buy 35k of them, as we’ve reported.
China is writing a rulebook for AI. Beijing plans to roll out broad safety standards governing how the country manages AI from development through deployment, Bloomberg reports. The rules were prompted by cases of US and Chinese models going rogue and breaking rules during training. They would govern Chinese developers including DeepSeek, Moonshot, and Alibaba.
WHY IT MATTERS HERE- Many MENA users like China’s open-weights models, which companies can download and run on their own servers, because they’re easier to run locally and don’t need to run in Western-controlled clouds, as we noted last month.
That’s a sharp contrast with Washington, where President Trump has said he prefers “tremendous self-regulation” and got OpenAI and other top US AI firms to sign a voluntary pact to police themselves in September.
Irony alert: Trump has often cited competition with China as one reason the US must avoid AI regulation, though China has never been particularly freewheeling with its AI development. (As noted above, watch for Democrats to push for a more restrictive approach once they have majorities in both houses of Congress starting in January.)
What’s covered in the Chinese plan: Everything from the data and computing power AI runs on to the algorithms behind it, plus key ways AI is used, said Wang Ruomeng, a senior official at China’s state economic planner.
The fine print: Developers and operators should disclose safety risks, incidents, and vulnerabilities, Wang said. The government will also track how AI affects employment and provide safety-net protections for workers who lose out, he said.
“It can only be attributable to human error:” A simple human screwup was responsible for incidents earlier this year in which AI models from OpenAI, Anthropic, Meta and Google got loose during safety tests and hacked outside websites, Bloomberg reports.
What went wrong? The AI models were supposed to be blocked from going on the internet during tests. But Israeli security firm Irregular Security didn’t set the air gap up properly, CEO Dan Lahav said on Tuesday. Lahav did not share details about the precise error, Bloomberg notes.
Why it matters: The hacks raised fears that AI was breaking free of human control. Lahav insists, however, that the problem was just about the test setup, not the AI itself.
Germany doesn’t want to rely on others for AI: Germany must avoid becoming “entirely dependent on third parties” for its AI resources, Chancellor Friedrich Merz said on Monday, arguing that digital sovereignty is “a truly existential question.” Here are details from Reuters.
Merz’s plan: Build and run Germany’s own AI, from the hardware to the software. Merz admits that will take “an enormous technological and organisational effort.”
Watch the trend: The comments reflect a global trend of nations wanting to assert control over their AI systems as they become a more consequential component of government and industry — and fretting about how much the systems make them dependent on large tech companies that are mostly based in the US or China. (The UAE and Saudi Arabia are near the front of the pack in asserting some level of AI autonomy, as we noted above.)
MEANWHILE- Chinese AI is chugging along: Tencent says its new AI model, Hy4, now beats Chinese rivals like DeepSeek in some tests, Bloomberg reports. Tencent plans to make its model free for anyone to download. But even Tencent admits it’s still not as good as the best US models from OpenAI and Anthropic.
Oracle is raising USD 20 bn by selling about USD 10 bn in new shares at USD 116 apiece and another USD 10 bn in bonds, the company said in a press release. The sale, which will help fund the company’s AI buildout, comes days after Oracle said it plans more data centers in the UAE and Saudi Arabia, as we reported on Tuesday.
MEANWHILE- Meta is borrowing USD 15 bn from investors by selling bonds — money it will use to build out its AI, Reuters reports. The Facebook owner is also planning to sell up to USD 97.5 bn in new shares in a series of rolling offerings.
AND- AMD says demand for its AI chips is holding up. The chipmaker expects USD 17 bn in revenue this quarter, well above the USD 16.3 bn analysts had forecast, Bloomberg reports.
CLOSER TO HOME: Humain has absorbed CNTXT, a Saudi cloud, data, and cybersecurity services company, per a press release. CNTXT launched in 2022 as an Aramco-Cognite joint venture and has been Google Cloud’s exclusive reseller in the Kingdom since 2023. No terms were disclosed. Aramco took a 49% stake in Humain earlier this week.
Bahrain’s data centers are going solar: Bahraini tech group Beyon is adding more solar panels so a third data center within its portfolio can run entirely on clean energy, the company said this week. It’s spending about BHD 544.5k, and the work should be done “in the coming months.” The new installation is expected to generate about 2.5 GWh of clean energy annually and reduce carbon emissions by roughly 1,585 tons of carbon dioxide each year, the company says.
MEANWHILE- Bahrain’s sovereign wealth fund, Mumtalakat, and ARP Group are setting up an AI-run wholesale bank in Bahrain to serve banks, payment firms and other businesses that operate across borders. The firms have approval from Bahrain’s central bank but still need a final license.
Uhm, Enterprise? What’s a wholesale bank? That’s just banker-speak for “we offer services to big companies, institutions, governments, and other banks, not to consumers and small businesses.”
AI and search, a combo deal: Starting early next year, Google will turn off its AI tools for schools that don’t want them — but if they turn off AI entirely they’ll lose the Google search engine too, The New York Times reports.
The argument: It’s not practical for the company to offer search but turn off AI because the two are now “deeply integrated,” says Chris Phillips, who runs Google’s education business. No fair: Lina Khan, the former head of the US Federal Trade Commission, says Google is using its dominance in search to pressure schools into accepting its AI.
McCollusion? Speaking of combos, Sen. Elizabeth Warren, Democrat of Massachusetts, and several members of the House of Representatives are demanding answers from McDonald’s about how the fast food chain is using AI to determine “optimal pricing” for menu items. The AI tools may be helping McDonald’s franchisees collude on pricing rather than competing, the lawmakers warn, raising prices for consumers.
Burger joints used to be great in movies, back when they were classy places — think Mel’s Drive-in from American Graffiti. But, by the ‘90s, they were mostly dreary and grungy. Clerks II got the dreariness and grunginess about perfect.
7-10 November (Saturday-Tuesday): Cairo ICT runs in New Cairo alongside AIDC Expo, its dedicated AI, data center, and cloud event.
17-19 November (Tuesday-Thursday): Bengaluru Tech Summit brings businesses, startups, researchers, and policymakers to Bengaluru, India, under the theme “AI & Beyond.”
17-20 November (Tuesday-Friday): Microsoft Ignite runs in San Francisco and online, covering Microsoft’s AI, cloud, security, and data products.
18-19 November (Wednesday-Thursday): Global AI Show opens at Space42 Arena in Abu Dhabi, with enterprise AI, computing capacity, and sovereign AI on the agenda.
30 November-4 December (Monday-Friday): AWS re:Invent brings Amazon’s cloud and AI conference to Las Vegas, with product announcements and sessions on deployment, costs, and security.
December 2026
1-3 December (Tuesday-Thursday): Black Hat MEA brings cybersecurity leaders, researchers, and technology companies to Malham, Riyadh.
6-12 December (Sunday-Saturday): NeurIPS holds its main AI research conference in Sydney, offering a look at advances that could shape the next generation of commercial AI.
7-11 December (Monday-Friday): GITEX Global opens with a leadership summit at Dubai World Trade Centre on 7 December, followed by its exhibition at Expo City Dubai on 8-11 December.