COMPUTEX 2026 is shaping into one of those editions where the tone is set well before the doors even open. With keynote registration now live, the event—running June 2 to 5 across Taipei’s Nangang Exhibition Center and TWTC Hall 1—leans heavily into its theme “AI Together,” and not in a vague way. The lineup alone signals where the industry wants to steer the narrative next: AI not just as a model layer, but as a full-stack shift across silicon, networks, edge systems, and mobility platforms. It’s a slightly more grounded framing than the hype cycles of previous years, more about deployment than promise.
At the center of it all is a keynote roster that reads like a who’s who of the AI hardware and infrastructure stack. Cristiano R. Amon opens with Qualcomm’s global press conference keynote on June 1, setting the tone around edge AI and mobile compute—areas where the company has been pushing hard to define the next cycle beyond smartphones. Shortly after, Jeremy Foster steps in with Cisco’s perspective, likely tying AI workloads to networking and distributed compute, a piece that’s becoming harder to ignore as inference moves closer to the edge.
Then the cadence picks up. Matt Murphy takes the stage on June 2, bringing in the data center and custom silicon angle—Marvell has been positioning itself right in the middle of AI infrastructure demand. Lip-Bu Tan follows, and honestly, his keynote might be one of the more closely watched sessions this year, given Intel’s ongoing repositioning across AI accelerators and foundry strategy. Rafael Sotomayor adds a different layer with automotive and industrial edge intelligence, while Rick Tsai rounds it out with MediaTek’s view on AI-enabled consumer and connectivity platforms. It’s not just a lineup—it’s almost a vertical slice of the AI stack, from edge devices to hyperscale infrastructure.
Running alongside the keynotes, the COMPUTEX Forum expands into its largest format yet, which feels like a deliberate move to turn the event into more than a showcase floor. The introduction of an “All-Access” pass opens up six major thematic tracks—robotics and physical AI, generative AI, and data intelligence among them—bringing together over 30 experts from companies like NVIDIA, Microsoft, and Google DeepMind. It’s a dense schedule, probably a bit overwhelming if you try to do everything, but that’s kind of the point. The forum is clearly designed as a knowledge layer on top of the exhibition, not just an add-on.
There’s also a subtle urgency baked into the rollout. The early bird rate for the forum—NT$1,990—expires on April 20, and that deadline feels less like a marketing push and more like a signal of expected demand. COMPUTEX has been growing again as AI re-centers the hardware conversation, and Taipei, with its deep manufacturing ecosystem, naturally becomes the stage where those conversations get anchored in reality.
What’s interesting this year is how cohesive the whole thing feels. COMPUTEX isn’t trying to be everything at once—it’s leaning into its strength as the place where silicon, systems, and real-world deployment meet. If previous years were about announcing what AI could become, 2026 looks more like a checkpoint: here’s what’s shipping, here’s how it scales, and here’s who controls the stack. That shift, subtle as it is, might end up being the real story behind the keynotes.