Happy Thursday wonderful people, and welcome to EnterpriseAM AI + Innovation! There are 16 days left before Halloween. How about streaming the entire Scream franchise and the first four Nightmare on Elm Street films (before things got totally silly)? There’s plenty of time. Now, let’s get going.
Remember that ancient Indian parable about blind men all touching different parts of an elephant and disagreeing about what it is? That’s a pretty good analogy for the AI industry right now.
Some very smart people think it represents an existential danger for the planet — including leaders and whistleblowers at top AI labs. Other smart people think those guys are off their rockers — including a lot of cybersecurity experts.
Who’s right? It’s tough for us folks who weren’t 19-year-old Ivy League valedictorians or 13-year-old chess prodigies to figure that out. But the answer is hugely consequential because AI is also transforming the global economy, reshaping the way people work, and shifting the map of global power.
A mini round in that battle kicked off this week when Anthropic published a blog post detailing how AI-powered botnets could form and wreak havoc across the internet. The post, which relied on extensive Anthropic testing of its own models, was basically the technical backup for a September bombshell from Anthropic CEO Dario Amodei, in which he urged slowing down AI development until labs are better at preventing their models from going rogue and committing crimes.
Nuh-uh: The blog post got predictably negative views from skeptics, who argued it didn’t sufficiently address some significant constraints on rogue AI botnets forming — most notably that AI models require so much computing power that it’s highly unfeasible that they could manage such botnets independently. Ciaran Martin (LinkedIn), former head of Britain's National Cyber Security Centre, told Reuters that the blog post read like an “interesting technical paper with more than a hint of vendor exaggeration.”
Uh-huh: Anthropic acknowledged the limitations on computing access, but warned that smaller models that require less computing power might be able to self-replicate and form botnets as soon as the end of this year. The company also floated the prospect of those botnets hijacking external power sources, including from data center processors.
The “this-is-worth-freaking-out-over” side is gathering momentum. A group of more than 450 scientists from 34 countries signed an open letter this week calling for the creation of an international body to oversee AI research and impose controls on frontier models. Here’s more from Quartz.
Among those signing: AI pioneers Geoffrey Hinton and Yoshua Bengio. Closer to home, the letter was also signed by Mohamed bin Zayed University of Artificial Intelligence Prof. Jian Kang and Prof. Christina Pöpper of New York University’s Abu Dhabi campus.
Now let’s get to today’s Lede, which sorts out the differing strategies of the Gulf’s AI leaders.
Gulf nations are pivoting to artificial intelligence in a big way right now, but those pivots look very different depending on which country you’re talking about.
Here’s a rundown:
The United Arab Emirates is going all in on AI — and it’s doing it mostly in lockstep with the United States. That includes building a mammoth, 5 GW data center campus in cooperation with OpenAI and other US firms; backing Western AI companies through state-backed investment vehicle MGX, whose first fund closed with USD 49 bn in commitments; and building its own Arabic-language large language models.
Saudi Arabia is more focused on building capacity inside its borders. Humain, the nation’s PIF-owned AI champion, has signed at least USD 23 bn in deals with US tech firms including Nvidia, AMD, AWS, and Qualcomm, largely to build computing capacity at home. Humain plans to build 250 MW of data center capacity by the end of this year, 1.7 GW in 2027, roughly 3 GW by 2030, and 6 GW by 2034. Humain also offers an Arabic-language chatbot powered by ALLaM, a family of Arabic-English LLMs originally developed by the Saudi Data and AI Authority (SDAIA). Humain isn’t uninterested in international exposure: It has announced a USD 10 bn venture fund to back startups in the US, Europe, and Asia, a USD 10 bn partnership with AMD that spans the kingdom and the US, and has made a USD 3 bn investment in xAI.
Qatar is being more cautious, partnering with Canadian investment manager Brookfield on a USD 20 bn joint venture that includes both a data center in Qatar and international AI infrastructure projects. The smallest of the Big Three Gulf economies, Qatar has been among the hardest hit by the fallout from the ongoing US-Iran war and has slashed public spending. Still, its wealth fund continues to invest, Semafor notes.
Investments by other GCC countries are far more limited: Kuwait is the leader among the also-rans. Its sovereign wealth fund has invested USD 9 bn into digital services and AI over the past five years, according to GlobalSWF. In June it backed a new USD 10 bn AI infrastructure venture with KKR, Nvidia, and Vistra. Cash-strapped Bahrain has made more limited investments in AI life sciences projects, while Oman has made what look like minor investments in Elon Musk’s xAI (now part of SpaceX) and some other Western outfits, but clear USD figures have never been disclosed.
Those distinctions could make a huge difference for how AI develops in those countries, especially during the pivotal next five years as the technology becomes an ever greater force in the global economy — and a more important battlefield in the ideological and economic struggle between the US and China.
The different approaches will also have significant consequences for companies that plan to rely on those nations for their AI computing power. “Be careful with the phrase ‘Gulf AI capacity,’” Guney Yildiz (LinkedIn), a senior adviser on geopolitics and strategic insights for the sustainability consultancy Anthesis Group, tells EnterpriseAM. “Renting from an MGX-backed operator and renting from a Humain campus that is still standing itself up are different risks. I would not price them as one pool.”
One big distinction is between the UAE’s full embrace of the United States and Saudi Arabia, which is keeping more distance. Abu Dhabi has pledged to completely decouple its AI operations and investments from China, reducing the danger that secretive AI tech shared by the US will leak into Beijing’s hands. The Trump administration released new export rules in July granting a handful of UAE firms access to the most advanced Nvidia AI chips without export licenses.
“MGX’s distinguishing bet … is that the winning position is to own pieces of every layer at once and to be present in Washington’s most sensitive tech disputes rather than adjacent to them,” Yildiz wrote in a recent Forbes piece. Saudi Arabia has not made a similar pledge when it comes to AI investments and has not received a similar deal from the US Commerce Department. In an earlier round of negotiations, Humain did win authorization to buy 35k of the most advanced Nvidia AI chips to power its growing data center operations — the same deal won by the UAE’s G42.
Saudi hasn’t distanced itself as much from China — state oil giant Aramco’s venture arm, for example, is a backer of the high-profile Chinese model maker Z.ai. And big UAE players continue to do business with Chinese tech giants: Network operator e& explicitly included Huawei in its AI strategy for 2026, and du announced a Huawei-backed network deployment at Dubai’s Mall of the Emirates this month. Alibaba Cloud said in September it would expand its UAE data-center footprint.
Abu Dhabi has also taken a much more aggressive approach to investing in Western AI companies. MGX has committed capital to Anthropic, OpenAI, xAI (now part of SpaceX), Aligned Data Centers (an AI infrastructure firm), and TikTok’s US joint venture, in which it holds a 15% stake.
That’s just part of a far larger business relationship between the nations. US President Donald Trump announced USD 200 bn worth of US-UAE deals during the first foreign trip of his second term — though it’s not clear how many of those deals will come to fruition. That was part of a USD 1.4 tn investment package spanning AI, technology, and energy.
That expansive relationship gives the Emirates outsized influence over AI policy discussions — both at those firms and inside the US government.
But that tight bond could backfire, especially if the US decides to be more restrictive about how it shares the most advanced AI computer chips and other advanced technology or if it falls behind in the AI race with China. “The fundamental story is the US-Emirati financial relationship and doubling down on that,” Justin Alexander, a Gulf business analyst and director of Khalij Economics, tells EnterpriseAM. “That may not make sense from a security perspective, but it makes sense from a technological perspective.”
MEANWHILE- Saudi Arabia may have some critical advantages in the AI race — especially when it comes to building domestic capacity. At more than 2 mn sq km, the kingdom has more space than the UAE or Qatar to build a geographically distributed data center network. The nation’s electricity infrastructure is also robust enough to power AI data centers in most of the places executives would want to build them, Alexander says. With the right backup and networking arrangements, workloads can switch between sites if one loses power.
Its size also gives Saudi Arabia more scope to put substantial distance between data-center sites, potentially making them more resilient in the face of missile or drone attacks — though that doesn’t make them invulnerable. The UAE is also mulling breaking up its gargantuan, planned 5 GW AI campus into numerous data center clusters spread throughout the small country rather than a single 26 sq km campus in Abu Dhabi because of concerns about Iranian drone strikes. Both nations are also in the process of “hardening” data centers against future drone strikes.
The threat of physical attack has been top of mind in recent weeks as Houthi missile and drone strikes have hit airports in Riyadh and Dammam, the two cities where Humain’s first data centers are being built. Earlier in the war, Iranian drones struck and significantly damaged Amazon Web Services infrastructure in the UAE and Bahrain.
But what if the AI bubble pops? If there’s a major correction that dramatically cuts the value of some US AI giants or even sends them out of business, that will obviously impact whichever sovereign wealth fund is most heavily invested in those companies. The UAE, which is most exposed to the broader US market, could take the biggest hit. Qatar’s overseas AI bets are concentrated in a few names, so its exposure is narrower. It has backed three sequential Anthropic rounds and recently invested in US AI infrastructure builder Crusoe.
But: Those nations’ sovereign wealth funds are so large and diversified — and so buoyed by oil wealth — that a temporary downturn is unlikely to cause lasting damage. Ultimately, the impact would depend on the size and concentration of each fund’s holdings, much of which has never been made public. A deflation of AI valuations could also present a buying opportunity for Gulf sovereigns convinced that the technology has long-term legs.
“These investments are meant to be intrinsically long-term in nature,” Vincent Carchidi (LinkedIn), a US defense industry analyst at Forecast International, tells EnterpriseAM. “They consider these to be laying the foundation for years and years of growth.”
There’s also the danger of a sharp drop in AI computing demand, which could impact data center projects in Saudi Arabia and the UAE, but Mohammed Soliman (LinkedIn), a senior fellow at the Middle East Institute, downplayed that danger. “Demand for AI infrastructure is so massive and this region is so completely underserved,” Soliman, who focuses on the intersection of technology, geopolitics, and business, tells EnterpriseAM. “There’s a customer for every single data center that’s going to be built.”
The global AI investment boom is increasingly relying on debt, raising the risk that a slowdown in spending on AI could trigger a broader market correction, the IMF warns in its October 2026 Global Financial Stability Report (pdf).
The report underscores how crucial AI investment has become to the global economy — especially as it has helped to offset the economic drag from the Iran war. But the huge scale of borrowing and financial leverage tied to the sector is creating new vulnerabilities, the report says, even as major AI labs continue to whisper on background about strong growth in revenues.
Big-time borrowing: Hyperscalers — the cloud computing and data center companies operating at global scale — accounted for 10% of global investment-grade corporate bond issuance in 2026, up from less than 1% in 2024.
These companies remain profitable, but their free cash flow is declining rapidly as they increase spending on infrastructure, making debt financing increasingly important.
An economic slowdown isn’t the only worry. The emergence of cheaper AI models could also intensify competition and undermine the expected returns from massive AI infrastructure investments being backed by the frontier labs.
Adding to the risk: AI companies are increasingly investing in, lending to, and buying from each other. The IMF counted about USD 1.4 tn in future spending that these companies have promised to each other for services and chips. Because these deals are concentrated among a handful of big players, trouble at one could easily spread to the rest.
Warning to MENA+: Major economies whose stock markets are closely tied to AI face the greatest risk if the industry stops raking in so much money. But emerging markets face consequences too, the IMF warned. The organization also sounded the alarm about AI-enabled cyber threats and urged emerging markets to improve their cyber hygiene.
Flashback: As we reported on Tuesday, IMF Managing Director Kristalina Georgieva warned at the IMF and World Bank’s annual meetings in Bangkok this week that AI could be a “slow-moving tsunami” for entry-level jobs.
The FBI arrested an OpenAI engineer for allegedly bugging a conference room at the company’s San Francisco offices, raising the specter of sensitive technology getting into the hands of US adversaries or criminals. Abdulrahman Alfozan, 35, is a Saudi national.
Who’s in charge? The case highlights how frontier AI technology is simultaneously driving the US and global economies, creating catastrophic risks if it's mismanaged. The industry is almost entirely unregulated by governments — particularly in the US — leaving private companies largely responsible for securing their models against theft or spying. (China and the European Union have taken a more hands-on approach to regulation, but don’t have as much sway over the industry given the most advanced model makers are based in the US.)
Trump has said he prefers “tremendous self-regulation.” Last month, he got OpenAI and other top AI firms to sign a voluntary pact to police themselves.
The details: Alfozan allegedly hid an encrypted recorder wrapped in toilet paper behind a TV in the conference room, the US Department of Justice says. OpenAI’s bug-sweeping team found it on 30 September, and a second device turned up days later in a bag he’d left behind. There’s no sign that Alfozan took anything from OpenAI’s systems, the company says.
The DOJ didn’t share any information about a possible motive. There’s a lengthy record of similar espionage by foreign governments and business rivals:
A former Google engineer was convicted in January of stealing thousands of pages of Google’s AI trade secrets to benefit China.
Last month, OpenAI said people linked to Chinese AI startup Moonshot tried to copy how its models reason.
In 2022, a former Twitter manager was convicted of passing Saudi dissidents’ personal data to Saudi officials in exchange for cash and a luxury watch, The New York Times reported.
Your AI might be going places it shouldn’t: Nearly nine in ten companies (87%) say an AI tool or agent got into sensitive data it didn’t need for its job in the past year, according to a new global survey by identity security firm Delinea. The firm polled more than 2.2k IT and security leaders in eight countries, including the UAE.
The good news: Companies have gotten the memo. Almost all of them (99.7%) now have written rules on what data AI can touch.
The bad news: Most of those rules exist only on paper, Delinea says. Only about half of companies check what their AI is doing against the rules as it happens — and fewer than one in five can catch an AI tool crossing the line in real time.
More bad news: Delinea also surveyed over 2.2k regular employees for the report. Nearly half (48%) said they always or regularly use AI to access company data without seeking formal approval.
China’s homegrown AI chips: Nvidia’s share of China’s AI chip market fell to 34% in H1 of 2026, while Huawei supplied 28% of the nation’s chips, Reuters reports.
Watch the trend: The results suggest China is increasingly becoming self-reliant when it comes to AI. The US’s fault? Nvidia CEO Jensen Huang blamed tight US export rules for handing the Chinese chip market to Huawei.
More bad news for Nvidia? Microsoft will make its own Maia chips the main engine for running its AI models, the company says via CNBC. It will still buy some chips from Nvidia and AMD, though.
Copycats beware: Anthropic says it has made it much harder for rivals to copy its Claude AI model, saying early results show its defenses cut the data harvested from the model by would-be imitators by 90-99%, Reuters reports. One of the alleged copycats is Chinese AI company Z.ai. The Gulf angle: Aramco’s venture arm, Prosperity7, has backed Z.ai.
Meta joins the big leagues: Meta released Muse Wonder, its first frontier AI model, which it claims matches the best models from Anthropic and OpenAI, CNBC reports.
The UAE and Saudi Arabia accounted for almost 90% of the USD 2.98 bn raised by MENA startups in the first nine months of the year, according to venture capital tracker Magnitt. Every round of USD 100 mn or more went to startups in those two countries.
Big checks, fewer deals: Regional funding fell 7% y-o-y during this period, and the number of deals dropped by a third, per Magnitt data seen by EnterpriseAM. Early-stage deals fell 45%, the research outfit says.
More local money: MENA-based investors supplied 58% of the capital raised during this period, up from 50% a year earlier, while the value of tickets written by foreign investors dropped to 42% of the total.
Humain is teaming with Napster: Humain is partnering with the US-based AI company Napster (yes, this is basically the old music pirating service, but it’s gone through a LOT of purchases and rebrands since those wild, turn-of-the-millennium days) to build Arabic-first AI agents for public and private sector clients across the region. Here are the details in a press release from the companies.
The Italian Job: Core42, G42’s cloud arm, is teaming up with Assolombarda, a business group representing companies in and around Milan, to help Italian manufacturers start using AI, the companies said in a press release.
Presight reads the news: G42-backed Presight has signed an MoU with Abu Dhabi’s X14 Media, which builds Arabic-first AI tools for tracking and analyzing news content, the companies said in a statement. The companies will explore building AI-powered media intelligence for governments, public institutions, and companies.
Nvidia bets on Europe: The chipmaker will announce USD 2 bn in European investments over the next week, Bloomberg reports. That’s on top of the USD 8 bn it has put into the continent over the past year. The company is also backing four French startups.
No developer required: Anyone 18 or older with a Google account can now publish AI-built apps on the Google Play Store for free, as long as they’re made with Google AI Studio and kept private, Bloomberg reports. One Google exec showed off an app he vibe coded to split post-game pizza costs for his kids’ sports team.
AI will help us make babies? Abu Dhabi wants to use AI to raise IVF success rates from 59% today to 80% or higher, Fast Company Middle East reports. The effort comes amid falling birth rates across the Gulf. Fair warning: AI probably can’t fix the reasons many people are having fewer kids, like housing costs and juggling work and family. It may even make them worse.
Looking for parenthood films? Start with Parenthood, one of the better things Steve Martin did in the ’80s. From roughly the same era, there’s She’s Having a Baby — when John Hughes moved on from making films about teenage angst to focus on young-adult angst instead.
26-27 October (Monday-Tuesday): The Dubai AI Festival returns as part of Dubai AI Week.
26-29 October (Monday-Thursday): Riyadh hosts its annual Future Investment Initiative under the theme “The Power of Legacy” with a heavy AI-investment track.
27 October (Tuesday): Alphabet reports 3Q earnings after the US market closes, with AI capex and Gemini / cloud growth as the headline watch items.
28 October (Wednesday): Microsoft reports fiscal 1Q 2027 earnings after the US market closes, including Azure and OpenAI-partnership capex disclosures.
28 October (Wednesday): Meta reports 3Q earnings, with AI infrastructure spend in focus.
29 October (Thursday): Amazon reports 3Q earnings, including AWS and Bedrock AI growth.
30 October (Friday): UAE businesses with annual revenue of AED 50 mn or more must have an accredited e-invoicing provider in place by this date.
November 2026
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.