Mash Talks Ep 1: Taha Khalifa on Intel’s big bet on AI in the Middle East
Mashable Middle East launches Mash Talks with Intel’s Taha Khalifa, decoding AI’s real impact, the region’s bold ambitions, and why the Middle East is fast becoming the world’s next AI powerhouse.
AI is everywhere now. That’s the energy Mashable Middle East’s new series ‘Mash Talks’ opens with, bold and straight to the point. And in true Mashable Middle East style, hostSiddhaarth Alambayandoesn’t waste time easing us in; he throws us straight into the deep end of one of the biggest technological shifts of our time. Because let’s be real, this isn’t about what AI will become. It’s about what it already is. With the launch of ‘Mash Talks,’ a brand-new IP from Mashable Middle East, the conversation moves beyond headlines and hype into something far more urgent, like understanding how AI is reshaping industries, economies, and power structures, especially in a region that’s not just adopting tech but actively redefining it. And for Episode 1, entersTaha Khalifa, General Manager at Intel Corporation, bringing decades of hands-on experience and a direct view into the evolution of artificial intelligence. From buzzword to backbone: Is AI just hype?Is AI just another overhyped tech buzzword?Taha doesn’t dodge the question; he reframes it entirely. He acknowledged often coming across the question lately, but emphasized that AI is already proving to be “transformative” and deeply “impactful,” changing how we live, learn, and work. Yeah, that sounds familiar because we’ve been here before. Back in the early 2000s, people asked the same question about the internet. Was it hype, or was it real? We all know how that turned out. Taha drew a parallel, noting that AI is at a similar inflection point, only this time, we’re still in the early stages. If this is just the beginning, the next two decades could redefine everything. The long road to ‘overnight success’One of the key takeaways from the conversation is that AI didn’t appear overnight. It has been decades in the making. Taha pointed out that AI has existed in theory since the 1960s and was already being taught in universities in the early 1990s. So why does it feel like it exploded overnight? Because three critical things finally aligned: hardware, algorithms, and scale. Advancements in semiconductors, driven in part byIntel’s own legacy, combined with smarter algorithms and powerful infrastructure, have unlocked what Taha calls “practical AI. ” In simple terms, AI has moved from theory to reality, from labs to laptops, and from concepts to code. From code to conversations: A personal journey through techBefore he was shaping AI strategy acrossthe Middle Eastand Africa, Taha Khalifa was an engineer writing code the hard way. Think Fortran, COBOL, and Assembly language. There were no shortcuts, no AI copilots, and no generative magic. “We had to write the code ourselves,” he said. “Programming was very difficult. ”Fast forward to today, and AI can generate code in seconds. That shift isn’t just technological; it’s philosophical. What once required deep technical expertise can now be prototyped rapidly, opening the door for innovation at an entirely new scale. But here’s the twist: this doesn’t eliminate jobs; it transforms them. “The job is not going to go away,” Taha explained. “But it will be complemented by these new capabilities. ”The CIO playbook: Turning AI into real business valueSo, what happens when a company decides to go all-in on AI? According to Taha, the biggest mistake is starting with the tech. Instead, it’s about starting with the problem: “What are the problems we are trying to solve so that we can create the right use cases?” It sounds simple, but it’s where most companies get it wrong. AI isn’t about buying infrastructure or tools. It’s about aligning technology with business outcomes, including profitability, efficiency, and productivity. And this is where Intel’s approach stands out. With a vast ecosystem spanning OEMs, software developers, and local partners, Intel focuses on “right-sizing your infrastructure,” delivering maximum performance without blowing the budget. Because in today’s world, innovation isn’t just about power; it’s about precision. Operational resilience: Building AI that doesn’t breakIn a region shaped by rapid change and global uncertainty, resilience isn’t optional; it’s essential, and AI systems need to reflect that reality. From edge devices to cloud infrastructure, Intel’s strategy is built around ensuring continuity, even when things go wrong. Technologies like vPro enable remote management, allowing enterprises to monitor and control devices even outside secure networks or when systems go down entirely. Meanwhile, a globally diversified supply chain ensures there’s no single point of failure. It’s a reminder that behind every seamless AI experience is a complex web of safeguards designed to keep everything running. The Middle East moment: From adopter to global AI leaderIf there’s one thing ‘Mash Talks’ makes crystal clear, it’s this: The Middle East isn’t playing catch-up; it’s setting the pace. “This is one of the most exciting times to be in the Middle East during this AI transformation,” Taha said. Driven by ambitious national agendas such as UAE Vision 2031 and Saudi Vision 2030, the region is positioning itself as a global AI hub. AI is projected to contribute up to 14% of the UAE’s GDP by 2030. Governments and enterprises alike are embedding AI into their core strategies, from public services to enterprise systems. Data is the new oil, but only if it’s refinedFor all the excitement around AI, there’s one challenge standing out. . “The key friction of AI seems to be the data,” Taha admitted. It’s not enough to have data; you need to organize it, secure it, and make it usable. In sectors like healthcare, banking, and government, the stakes are especially high. Intel’s approach focuses on securing data across its entire lifecycle, from storage to transit to processing. Technologies such as memory encryption and confidential computing help ensure that trust remains central in an AI-driven world. From pilots to performance: Closing the gapHere’s a reality check: most companies experimenting with AI are still stuck in the pilot phase. Why, you ask? Because scaling AI is a completely different game. “Business is far more complicated than this,” Taha explained. It’s not just about building a model; it’s about integrating it into workflows, ensuring compliance, and scaling without breaking the bank. The key lies in planning for scale from day one. That means aligning AI initiatives with business strategy, building the right infrastructure, and putting governance frameworks in placeAI at the edge: When the cloud isn’t enoughWhat happens when connectivity fails? That’s where on-device AI steps in. With innovations like Neural Processing Units (NPUs), Intel is enabling AI to run directly on devices, no cloud required. This means faster performance, enhanced privacy, and greater reliability. “You can now run language models on your system without having to go externally,” Taha explained. As the conversation wrapped, one thing became undeniable: We’re not waiting for the future anymore; we’re building it. With billions being invested in AI infrastructure, some projects reaching up to $200 billion, the Middle East is laying the foundation for a new global tech order. And companies like Intel are right at the centre of it, bridging the gap between silicon and software, infrastructure and innovation. Taha leaves us with a defining perspective that we are living through a “transformative” period, and this is just the beginning. (Feature Image Credit:Mashable Middle East YouTube)ALSO READ|MSI Prestige 14 Flip AI+ review: Intel Panther Lake arrives with a roar