WD

As manufacturing enters a new era of intelligence, workforce readiness is becoming as important as technology readiness.   In the World Economic Forum's Human-Machine Collaboration Framework, our Chief of Global Operations, Vidya Gubbi, shares his perspective around the critical role manufacturers can play in preparing people, processes, and organizations for a future where humans and intelligent systems work seamlessly together.   The conversation around intelligent factories is ultimately a conversation about people.   Read the full story: https://lnkd.in/gvNnBAhy

Sustainability and scale are no longer competing priorities—they're business imperatives. That's why WD is honored to be recognized on TIME's 2026 list of the World's Most Sustainable Companies. The recognition reflects our ongoing efforts to drive measurable progress across emissions reduction, circularity, responsible operations, and transparent reporting—all while delivering the data infrastructure that powers the AI era. Learn more about the initiatives behind this recognition: https://lnkd.in/gm3sM2SK

As conversations about AI continue to accelerate, one message from our CHRO, Katie Watson, remains as relevant today as when she first shared it: Before asking what can be automated, organizations should first ask what must stay human.   At WD, we believe the future of work starts with people, not technology.   Over the past year, Katie has shared WD's perspective on workforce transformation through keynotes, podcasts, industry events, and conversations with HR leaders around the world. Across all of them, one theme has remained consistent: technology should elevate human contribution, not replace it.   As organizations continue to navigate rapid change, we're revisiting Katie's perspective on what it means to take a human-centric approach to AI adoption.   Read more: https://lnkd.in/gr6famgR

Every career has a Day 1. Since the start of 2026, we’ve welcomed more than 200 interns across WD, spanning the U.S., Denmark, Germany, India, Malaysia, China, Thailand, and Singapore. Our summer intern kickoff events were a reminder of what makes these experiences so meaningful: building connections, learning the business, and creating a sense of belonging from day one.   As one intern shared, "The entire learning and bonding experience with my colleagues and team was amazing.”   Please join us in celebrating and welcoming all our interns to WD. We're excited to see what they accomplish!🔷  

Many conversations about storage start with the wrong debate: HDD or SSD? At hyperscale, the answer isn't either/or. The world's largest cloud providers use tiered storage architectures that balance performance and total cost of ownership, placing data on the technology that fits best. As AI infrastructure scales, intelligent data placement becomes even more important. Modern AI systems continuously generate data that must be retained, retrieved, governed, and moved across different performance and persistence tiers over time. The future isn't one storage technology. It's the architecture that connects them. Read more in our latest blog: https://lnkd.in/gS5ZR2F8

Everyone is talking about compute. But as AI scales, the real challenge is building systems that can efficiently manage and move the massive volumes of data AI depends on. Our Chief Product Officer Ahmed Shihab shares why the next phase of AI leadership will be shaped by infrastructure as much as innovation. Read the The Wall Street Journal article: https://lnkd.in/g772zeHn

AI was recently described as a five-layer infrastructure stack. It's a useful framework—and it shifts the perception toward AI as critical infrastructure.   But we noticed something was missing. Learn more about the “missing ingredient” in our latest blog by WD CTO Carl Xiaodong Che: https://lnkd.in/gZW2WdZk

People talk about AI as a compute story. But AI doesn't stop at compute. Every prompt, inference, interaction, and generated asset creates something else: data. And unlike compute infrastructure, data doesn't disappear when the job is done. It accumulates. It compounds. It needs to be stored, managed, and retained. The real long-term challenge of AI may not be building the systems that generate intelligence. It may be managing the growing volume of data those systems create. Read the full blog for a deeper look at why AI is becoming a data story as much as a compute story: https://lnkd.in/gWNYwcZx

What a week at COMPUTEX 2026! From our CPO Ahmed Shihab on stage to booth conversations to every moment in between - the message was clear: No HDDs, No AI. As the world races to build AI infrastructure at scale, storage is the constant. The cycle keeps spinning - smarter models, bigger data, more demand - and WD keeps driving it forward. This is The Drive Behind AI.