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Saudi Arabia’s AI Surge: Leading The Charge In Women’s Empowerment And Job Growth

Saudi Arabia has cemented its position as a rising powerhouse in artificial intelligence, securing the top global ranking for women’s empowerment in AI, according to Stanford University’s AI Index Report 2025. The Kingdom is also making waves in AI job growth, talent attraction, and cutting-edge model development—key indicators of its broader push to dominate the global AI landscape.

AI Talent And Job Growth: A Strategic Push

Saudi Arabia’s aggressive investment in AI is paying off. The Kingdom now ranks third worldwide in AI job growth for 2024 and fourth in developing leading AI models. It stands alongside the United States, China, France, Canada, and South Korea as one of only seven nations producing advanced AI models—an impressive feat for a country rapidly scaling its digital economy.

A Rising AI Hub: Attracting Global Talent

Ranked eighth globally in AI talent attraction, Saudi Arabia is becoming a magnet for top-tier professionals. Strategic initiatives, a robust research ecosystem, and a business-friendly regulatory framework make the Kingdom an increasingly attractive destination for AI experts seeking opportunities in a fast-growing market.

Women At The Forefront Of AI

Perhaps the most striking achievement is Saudi Arabia’s global leadership in empowering women in AI, with the highest female-to-male ratio in the sector. This milestone is the result of targeted national policies that foster inclusion, skills development, and leadership opportunities for women in technology. Programs like “Elevate,” a partnership with Google Cloud designed to train over 25,000 women in AI and tech, are shaping a new generation of female AI leaders. Additional initiatives, including specialized training camps and capacity-building programs, are reinforcing the Kingdom’s commitment to gender diversity in STEM fields.

Saudi Arabia’s AI Vision: Scaling To Global Leadership

At the heart of Saudi Arabia’s AI dominance is the Saudi Data and Artificial Intelligence Authority (SDAIA), which is spearheading national efforts to drive AI adoption. SDAIA’s strategy focuses on enhancing digital infrastructure, developing policy frameworks, and accelerating AI investment to position Saudi Arabia as a global leader in artificial intelligence. These moves align seamlessly with the ambitious goals of Vision 2030, which aims to transform the Kingdom into a knowledge-driven economy powered by innovation.

As Saudi Arabia continues its AI expansion, the message is clear: the Kingdom is not just participating in the AI revolution—it’s setting the pace.

Cloudflare Sets New Default To Separate Search Crawlers From AI Bots

Cloudflare has drawn a sharper line between traditional search and artificial intelligence.

Beginning September 15, 2026, the company will change its default settings to block so-called mixed-use crawlers from pages that run ads, unless a site owner chooses otherwise. The policy applies to new Cloudflare customers, new sites created by existing customers, and all current free customers.

A Clearer Divide In Web Access

The shift could materially reshape how AI companies collect web data for model training and agentic products. Cloudflare’s central argument is straightforward: most publishers want their content to remain visible in search and accessible through certain AI services, but they do not want that same material repurposed without compensation.

In Cloudflare’s view, the problem is not crawling itself. It is the blending of three different functions: search, agentic use, and training into a single bot that makes it difficult for website owners to set meaningful boundaries.

The Google Question

Cloudflare pointedly referenced the “world’s largest search engine,” an unmistakable nod to Google, arguing that it has access to roughly twice as much information as rival AI companies because it makes it harder for customers to stay discoverable without also being used for AI.

Google has disputed that framing. The company offers Google Extended, a crawler setting that lets publishers opt out of having content used for training and AI products such as Gemini apps and Vertex AI, without affecting visibility in Google Search. At the same time, Googlebot still crawls for Search and for AI-powered features such as AI Overviews and AI Mode.

Publishers Want Reach, Not Exploitation

Matthew Prince, Cloudflare’s co-founder and chief executive, said the company is moving quickly because the internet is now dominated by machine traffic.

“Now that the majority of traffic on the Internet is non-human, we must go further and act faster so that a sustainable ecosystem can emerge,” Prince said, referring to the recent milestone in which bots surpassed human traffic online sooner than expected.

Prince added that Cloudflare’s tools and partnerships are designed to give publishers more visibility and commercial leverage, while also rewarding AI companies that are transparent about how they use content.

From Pay Per Crawl To Pay Per Use

Cloudflare has increasingly positioned itself as a gatekeeper for publishers looking to assert control in the AI era. The company already offers tools to block AI bots, along with a marketplace called Pay Per Crawl, which lets websites charge AI systems for scraping.

That framework is now expanding into Pay Per Use, which Cloudflare says will allow publishers to charge AI companies when content creates value, not merely when it is fetched. In practical terms, that shifts the economics from extraction to monetization.

Cloudflare says the move may also reduce waste. Its data suggests more than half of crawl traffic from AI bots is spent revisiting pages that have not changed, consuming bandwidth and compute without adding fresh value for either side.

Early Partners Signal The Commercial Model

To launch the new system, Cloudflare is working with Ceramic.ai and You.com. Under the opt-in model, publishers can be paid when their content appears in Ceramic’s AI search results or when You.com accesses premium material.

Cloudflare says other AI companies can adapt the model to fit their own products. The broader message is clear: the era of unrestricted crawling is giving way to one in which access, attribution, and compensation are increasingly negotiated rather than assumed.

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