🚀 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗜
🚀 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗜 𝗜𝘀𝗻'𝘁 𝗕𝗲𝗶𝗻𝗴 𝗕𝘂𝗶𝗹𝘁 𝗶𝗻 𝗦𝗶𝗹𝗶𝗰𝗼𝗻 𝗩𝗮𝗹𝗹𝗲𝘆—𝗜𝘁'𝘀 𝗛𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗶𝗻 𝗥𝗶𝘆𝗮𝗱𝗵
150+ public and private sector leaders. One clear message: 𝗦𝗮𝘂𝗱𝗶 𝗔𝗿𝗮𝗯𝗶𝗮 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗮𝗱𝗼𝗽𝘁𝗶𝗻𝗴 𝗔𝗜—𝗶𝘁'𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗶𝘁.
Here's what makes this moment different:
🔹 𝗔𝗟𝗟𝗮𝗠 on watsonx Agentic AI Challenge Switzerland — The world's first enterprise-grade Arabic LLM, developed by SDAIA | سدايا, now fully operational. Finally, AI that understands the nuances of our language, our culture, our context.
🔹 Riyadh Air | طيران الرياض — The world's first AI-native airline, built from day one with zero legacy baggage. 59 workstreams. 60+ partners. One vision: reimagining aviation through agentic AI.
🔹 𝟱𝟬𝟬,𝟬𝟬𝟬+ 𝗦𝗮𝘂𝗱𝗶𝘀 𝘀𝗸𝗶𝗹𝗹𝗲𝗱 — Through IBM SkillsBuild, we've exceeded our goal by half a million learners. This isn't just technology transfer. It's human potential multiplied.
𝗧𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻? Saudi Arabia isn't implementing AI on top of old systems. It's building AI-native enterprises from the ground up.
No technical debt. No patchwork migrations. Just pure, scalable innovation.
𝗪𝗵𝗮𝘁 𝗜 𝘁𝗼𝗹𝗱 𝘁𝗵𝗲 𝗮𝘂𝗱𝗶𝗲𝗻𝗰𝗲:
"You have a choice—be the last company built on legacy, or the first built for the next decade."
The Kingdom is choosing the latter. Boldly.
To every leader watching from the sidelines: The infrastructure, the talent, and the vision are already here. The question isn't whether AI will transform your industry.
It's whether you'll be the architect or the adapter.
𝗗𝗿𝗼𝗽 𝗮💡 𝗶𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲, 𝗻𝗼𝘁 𝗔𝗜-𝗹𝗮𝘁𝗲𝗿.
#IBMThink #SaudiVision2030 #AINative #DigitalTransformation #Leadership
As someone deeply interested in the evolution of artificial intelligence, I find Saudi Arabia's approach to AI particularly inspiring and worth sharing. Unlike many regions that are retrofitting AI technologies onto existing legacy systems, Saudi Arabia is pioneering a fresh start by building AI-native enterprises from the ground up. This distinction means their systems are designed from day one to fully integrate AI capabilities, avoiding technical debt and patchwork solutions that can hinder scalability and innovation. A standout project is the ALLaM on watsonx Agentic AI Challenge in Switzerland, which introduced the world’s first enterprise-grade Arabic large language model (LLM). This breakthrough is significant because it enables AI systems to understand and operate within the nuances of the Arabic language, culture, and context—something many global AI models struggle with. As Arabic is one of the most widely spoken languages, this progress opens incredible opportunities for tailored AI applications in the Middle East and beyond. Another exciting development is Riyadh Air, touted as the world’s first AI-native airline. Built from scratch with no legacy baggage, Riyadh Air employs agentic AI across 59 workstreams and collaborates with over 60 partners. This model showcases how AI can revolutionize industries by optimizing operations, enhancing customer experiences, and driving sustainable innovation from inception. What truly excites me is how this transformation transcends technology transfer. Over 500,000 Saudis have been skilled through IBM SkillsBuild initiatives, amplifying human potential alongside AI advancements. This holistic approach emphasizes that AI’s future isn't only about machines but also about empowering people to lead and innovate. For leaders and organizations around the world, Saudi Arabia’s example illustrates a critical inflection point: the choice to be architects of an AI-native future rather than adapters clinging to legacy systems. With infrastructure, talent, and vision rapidly coalescing, the question shifts from "if" AI will transform your industry to "how" and "when" you'll embrace this transformation. In my view, Saudi Arabia’s bold strategy provides valuable lessons for anyone looking to harness AI’s full potential. Starting fresh with AI-native frameworks allows for scalable, seamless innovation that legacy systems often impede. It’s a mindset shift that I believe will be crucial for industries globally as they navigate the coming decade of digital transformation.