Tiernan Ray stands as one of tech journalism's most authoritative voices on AI infrastructure and computational innovation. Currently a Senior Contributing Writer at ZDNET, his work bridges the gap between semiconductor engineering and enterprise technology strategy.
With 30+ years of experience across Bloomberg, Barron's, and ZDNET, Ray's analysis consistently shapes industry conversations about sustainable tech growth. His work remains essential reading for CTOs and investors navigating the AI revolution.
We've followed Tiernan Ray's work across three decades of tech journalism, observing his evolution from traditional financial reporting to becoming a leading voice in AI and emerging technologies. His career began in the mid-1990s at Bloomberg and SmartMoney, where he honed his skills in analyzing market trends through a technological lens.
Ray's 2024 analysis dissects the paradoxical state of AI development, where simultaneous breakthroughs across companies create a crowded field of "worthy contenders." Through interviews with researchers at Anthropic, DeepMind, and OpenAI, he identifies the emerging pattern of diminishing returns on model scaling. The article's impact led to renewed industry discussion about alternative approaches to AGI development.
This comprehensive piece traces the semiconductor industry's race to develop specialized AI processors, featuring exclusive commentary from NVIDIA CEO Jensen Huang and TSMC leadership. Ray's analysis of the $400B chip fabrication market demonstrates his unique ability to connect technical specifications with macroeconomic trends.
Ray consistently covers the hardware and logistical challenges of AI implementation rather than consumer-facing applications. A successful pitch might involve new research about energy-efficient data center cooling systems or breakthroughs in photonic computing architectures. His ZDNET piece on liquid cooling adoption by hyperscalers [1] demonstrates this focus.
Stories that reveal how traditional industries implement AI/quantum computing receive particular attention. His Fortune article on quantum machine learning in pharmaceutical research [2] exemplifies this interest. Pitches should emphasize measurable ROI and novel use cases beyond tech sector applications.
While Ray maintains a low public profile regarding awards, his enduring influence is evidenced by frequent citations in academic papers and policy documents. The Technology Letter's podcast [8] has been featured in Stanford University's CS234 course materials as required listening on AI commercialization trends.
At PressContact, we aim to help you discover the most relevant journalists for your PR efforts. If you're looking to pitch to more journalists who write on Tech, here are some other real estate journalist profiles you may find relevant:
