David Bader

Excited to be in Tucson this week as an @AcademicDataSci Champion for the 2026 Data Science and AI Leadership Summit! Looking forward to connecting with fellow leaders shaping the future of data science and AI in academia. #DataScience #AI #ADSA2026 alliance4datascience.ai

Spoke with Miranda Nazzaro at @thehill about the Anthropic-Pentagon clash and what frontier AI means for surveillance. The law hasn't caught up to AI's ability to profile millions of Americans — and this isn't about trusting any one administration. We need durable technical and legal frameworks now. Capabilities will only grow more powerful. 🔗 thehill.com/policy/technol…

Pleased to speak with @BenLucasSherry at @Inc about the Pentagon's unprecedented designation of Anthropic as a "supply chain risk" — the first time this label has ever been applied to an American company. What it means, and what it doesn't. inc.com/ben-sherry/the…

Today marks 41 years since my Eagle Scout Board of Review on March 7, 1985. The values of Scouting — leadership, service, and preparedness — have guided me throughout my career in computing and academia. Once an Eagle, Always an Eagle. 🦅 #EagleScout #NESA

Spoke with @CadeMetz at the @nytimes about the Anthropic-OpenAI Pentagon standoff. This is an unprecedented moment — a U.S. AI company designated a "supply chain risk" for insisting on guardrails against mass surveillance and autonomous weapons. The implications for the tech-government relationship are profound. nytimes.com/2026/03/07/tec…

Attending the Computing Research Association (CRA) Board meeting at The Watergate Hotel—where the walls have heard many important conversations, and today's about the future of computing research is no exception. #ComputingResearch

The future of AI infrastructure might be above our heads, not beneath our feet. Discussed with @CNN why moving data centers to orbit isn't just Musk's vision—it's becoming a necessity as we exceed Earth's power generation capacity. @chrisidore edition.cnn.com/2026/02/04/bus…

Excited to speak about data science to the Sigma Xi community at Portland State University (Oregon) today! It's a bit rainy, but at least it's warm.

Happy to be giving today's Sigma Xi Distinguished Lecture at University of Portland (Oregon) and will be speaking on solving global grand challenges.

Enjoyed reading @OliverAlvaRod 's insights in the Chapel "7 Questions" series! Oliver shares his perspective on parallel programming, #HPC, and the future of Chapel. Great follow-up to my own interview last year. #ChapelLang Check it out: chapel-lang.org/blog/posts/7qs…

Grateful to @guardian for featuring my analysis on the AI infrastructure boom. With trillions being invested in scaling transformer models, the critical question isn't just technical capability, it's whether massive datacenter expansion alone will deliver the AGI returns investors expect. 🔗 theguardian.com/technology/202…

Distinguished Professor @Prof_DavidBader, director of the Institute for Data Science, spoke with Clare Duffy @CNNBusiness on the critical question facing the AI Industry: How long will the massive investments in AI infrastructure actually last? edition.cnn.com/2025/12/19/tec…

Honored to speak with Clare Duffy at CNN Business about a critical question facing the AI industry: How long will the massive investments in AI infrastructure actually last? As tech giants pour $400 billion into AI this year, the economics of chip lifecycles matter more than ever. GPUs powering AI workloads face significant challenges—about 9% fail annually vs. 5% for traditional CPUs, and while they can train models for 18-24 months, their extended value comes from handling inference tasks for up to 5 more years. The real question isn't just about hardware longevity—it's whether AI will generate returns quickly enough to justify the recurring costs of infrastructure upgrades. With each new generation of chips offering major efficiency gains, companies face mounting pressure to continuously modernize or risk falling behind. This isn't your typical tech bubble scenario. Unlike the fiber optic cables from the dot-com era that still power today's internet, AI infrastructure requires ongoing reinvestment to remain viable. Read the full analysis: cnn.it/44yU0FK #AI #HPC #DataScience #TechEconomics #Innovation @claresduffy

Featured in @Caliber_Az on Big Tech's AI gamble: While companies claim AI infrastructure is a long-term play, the math is challenging. GPUs wear out faster (9% vs 5% failure rates), training viability lasts 18-24 months, and the cycle of reinvestment may outpace returns. Bubble watch. caliber.az/en/post/how-lo…

Featured in @Caliber_Az on Big Tech's AI gamble: While companies claim AI infrastructure is a long-term play, the math is challenging. GPUs wear out faster (9% vs 5% failure rates), training viability lasts 18-24 months, and the cycle of reinvestment may outpace returns. Bubble watch. caliber.az/en/post/how-lo…

Honored to be recognized in @Hammerspace's announcement of their breakthrough IO500 achievement! Their success with standards-based Linux and NFS for HPC-class performance echoes the Linux supercomputing revolution of the late 1990s. Exciting to see open, interoperable infrastructure continuing to transform the data layer for AI and HPC. businesswire.com/news/home/2025…

Quoted in @ReversingLabs on OWASP Top 10 2025: The elevation of software supply chain failures to #3—with 50% of respondents ranking it their top concern—shows that securing the development ecosystem is now as critical as securing the code. Graph analytics approaches can help identify vulnerable dependencies at scale. reversinglabs.com/blog/owasp-top…

Excited to be back at #SC25 — around 35 years of attending the Supercomputing conference! 🔥🤯 The HPC community continues to inspire with its innovation, collaboration, and vision for the future. Here’s to many more breakthroughs ahead! #HPC #Supercomputing

Honored to receive the IEEE Transactions on Parallel and Distributed Systems award at #SC25 for my time as Editor-in-Chief (2013-2017). Grateful to the exceptional authors, reviewers, and editorial board who made those years so rewarding. TPDS continues to be a cornerstone journal for our parallel and distributed systems community. 🙏 Pictured here with current EIC, Xian-He Sun.

Proud to see the @NJIT student team featured at #SC25 for the IndySCC competition! 🚀 Their passion for #HPC, innovation, and real-world problem solving embodies the spirit of NJIT Data Science and our growing community of computational leaders. Go Highlanders — HPC ignites! 🔥💻 #Supercomputing #NJIT #IndySCC25