12 AI Journalists to Follow in 2025

Serine Melikyan
Apr 19
7 min read

The AI boom isn’t slowing down and neither are the journalists breaking the biggest stories behind it. From exposing ethical dilemmas to explaining the latest GPT upgrades in plain English, these 12 reporters are shaping how we understand artificial intelligence in 2025. Whether you’re building in the space, investing in it, or just trying to keep up, these are the names to follow. Each one brings something distinct; investigative depth, industry scoops, or consumer-friendly guides to the fast-changing AI landscape.

Jeremy Kahn

Jeremy Kahn is the AI Editor at Fortune and an award-winning journalist in London, known for breaking down the business implications of generative AI developments. In 2024–25, his focus has been on major AI players like OpenAI; co-authoring Fortune’s scoops on OpenAI’s evolving safety policies and new reasoning models. Kahn, who authored the book “Mastering AI,” brings deep industry insight to topics ranging from AI governance to cutting-edge model releases. His reporting stands out for blending technical detail with economic context, honed from prior stints at Bloomberg and contributions to The New York Times, making him a key voice on how AI advancements translate into real-world business impact.

X: @jeremyakahn

Kyle Wiggers

As the AI Editor at TechCrunch, Kyle Wiggers covers the AI beat with a finger on the pulse of Silicon Valley. In 2024–25 he’s been spotlighting the rapid progress of AI startups and Big Tech’s latest AI features; from Elon Musk’s xAI giving its chatbot a long-term memory to OpenAI’s newest coding assistants. Wiggers, who previously launched the AI Weekly newsletter at VentureBeat, delivers breaking news on AI model upgrades, funding deals, and industry upheavals at lightning speed. His reporting is distinguished by a strong technical background and clear explanations, ensuring readers quickly grasp why each new model or AI initiative matters in the broader tech landscape.

X: @Kyle_L_Wiggers

Amanda Caswell

Amanda Caswell is an AI Writer for Tom’s Guide, where she demystifies AI for everyday users. Based in New Jersey, Caswell’s recent pieces read like tech how-tos meets news; from explaining OpenAI’s release of a free “o3-mini” model and what it means for consumers, to testing Meta’s latest AI features in WhatsApp. Throughout 2024–25 she has authored practical guides (e.g., “7 hacks to get more out of WhatsApp using Meta AI”) and firsthand experiments with tools like ChatGPT Vision to solve real-life problems. Caswell often shares step-by-step insights and frank observations, making advanced AI innovations accessible and fun for a broad consumer audience.

X: @AmandaCaswell

Ken Yeung

X: @AmandaCaswell

Cecily Mauran

Cecily Mauran is a tech reporter at Mashable who has become a go-to voice on AI’s trendiest topics. Based in Brooklyn, she spent 2024–25 covering headline-grabbing developments like OpenAI’s new GPT-4 “o3” and “o4-mini” reasoning models and Google’s use of AI to block 39 million fraudulent ads. Mauran’s stories often distill what big tech’s AI moves mean for everyday internet users; for example, how new ChatGPT features could change online creativity, or how AI is being wielded to fight misinformation. Her style is lively and internet-savvy, reflecting Mashable’s voice: expect pop-culture references, clear explanations, and a dash of humor. Whether reporting on an experimental AI tool or an industry shake-up, Mauran has a knack for making the news both informative and highly shareable to a broad digital audience.

X: @cecily_mauran

James O’Donnell

James O’Donnell is a reporter for MIT Technology Review in Boston, bringing a research-driven perspective to the AI bea. In 2024–25, O’Donnell has tackled deep dives into AI’s real-world tests – from how the U.S. military is experimenting with generative AI in intelligence exercises to the ethical implications of AI in medicine. His recent reporting includes pieces for Tech Review’s international editions, such as an analysis of military use of AI published in Japanese, underscoring his global outlook. O’Donnell’s strength lies in investigative rigor and clarity: he often interviews scientists and policy experts, translating their insights into accessible prose. His style is authoritative yet plainspoken, reflecting MIT Tech Review’s ethos; he doesn’t hype AI, but rather critically examines its limitations and long-term consequences, earning trust from readers who seek accuracy over buzz.

X: @odonnell_jm

Samuel Axon

Sam Axon, an editor at Ars Technica, approaches AI coverage with a healthy dose of skepticism and technical depth. In 2024–25 he has written probing articles like “AI isn’t ready to replace human coders for debugging,” which examined studies on code-generation failures. Axon focuses on where AI meets the road for tech professionals; cloud AI services, coding assistants, and the gaming and hardware implications of machine learning. A veteran tech journalist, he draws on his experience covering software and open-source to scrutinize grand claims: his pieces often highlight what AI can’t do (yet) alongside what it can. Axon’s reporting style is analytical and precise, often featuring detailed explanations and even a touch of dry wit. He’s regarded as an influential voice who cuts through hype; providing Ars Technica’s readers with clear-eyed evaluations of AI tools and their impact on the tech industry.

X: @samuelaxon

Shirin Ghaffary

Shirin Ghaffary is an AI Reporter at Bloomberg News in San Francisco, recently joining Bloomberg after making her mark covering tech’s social impacts at Recode/Vox. In 2024–25, Ghaffary has zeroed in on the intersection of AI business and society, reporting on startup deals like Perplexity AI’s talks to embed its assistant in Samsung and Motorola phones, as well as writing about AI’s role in online misinformation and policy. Her Bloomberg pieces combine breaking news with thoughtful context; for example, she’ll not only report an AI partnership deal but also discuss what it means for Big Tech rivalry and consumers. Ghaffary’s signature style blends clarity with concern for ethics: she’s known for probing questions about how AI may affect users, jobs, or privacy, a perspective honed from her time covering tech accountability. Colleagues and readers respect her for consistently looking beyond the press release; her influence comes from calling out both the opportunities and the pitfalls of AI in our daily lives.

X: @shiringhaffary

Radhika Rajkumar

Radhika Rajkumar serves as an editor at ZDNet (US and China), where she oversees technology coverage with a keen interest in generative AI. Over 2024–25, Rajkumar has penned and curated stories that guide IT professionals through AI’s rapid evolution, for example, examining why OpenAI went from testing its models for months to just days before release and what that shift means for safety. She also covers practical enterprise AI developments (think: AI in cybersecurity, or Microsoft’s latest AI features for Office) for ZDNet’s international audience. Rajkumar’s style is equal parts informative and explanatory. She often frames articles as “why it matters,” helping readers understand not just what is new in AI but why it’s important. Her influence is particularly felt among business and developer communities who rely on ZDNet: under her guidance, the site’s AI coverage has been timely and contextual, bridging the gap between cutting-edge tech news and the needs of professionals adapting to an AI-driven world.

X: @radhikaraj_

Rashi Shrivastava

Rashi Shrivastava is a New York-based reporter for Forbes who covers technology’s frontier, with AI as a central theme. In 2024–25 she contributed to Forbes’ AI-focused newsletter “The Prompt,” writing pieces like “ChatGPT Generates Fake Passports” that explore the dark side of generative AI. At the same time, she’s written broader features, from career tips for introverts to how entrepreneurs can build emotional intelligence, showing her range beyond AI. What ties her work together is an emphasis on people: Shrivastava often interviews founders, policymakers, and researchers, bringing human stories into tech reporting. Her style is engaging and globally-minded. In the AI domain, she’s known for highlighting risks and societal impacts; for instance, flagging how AI can facilitate fraud or affect jobs; which adds a layer of accountability to her business reporting and distinguishes her voice among ai journalists.

X: @RashiShrivast18

Lucas Ropek

Lucas Ropek is a staff writer at Gizmodo who covers cybersecurity, AI, privacy and “all the other tech stuff” with a critical edge. Throughout 2024–25, Ropek’s beat has led him to some wild stories: he’s exposed an AI-powered “bias meter” proposed at a major newspaper, reported on an artist losing money to AI art theft, and even covered whispers that OpenAI might build its own social network. Ropek’s influence comes from this blend of tech-savvy reporting and irreverence. His writing is often witty and unafraid to call out nonsense, making readers both laugh and think. On serious subjects like AI regulation, he cuts through jargon with clear analogies and sharp commentary. In short, Ropek has become a must-read for those who want their AI news served with honesty and a side of humor, illustrating why Gizmodo’s style of journalism has its own niche in the AI discourse.

X: @LucasRopek1

Saritha Rai

Saritha Rai is Bloomberg’s Asia AI correspondent, reporting from Bangalore on how artificial intelligence is unfolding across the Asian tech scene. In 2024–25 she has chronicled stories like an Indian startup unveiling a way to run AI without advanced chips; a breakthrough for emerging markets. Rai’s coverage spans the spectrum from India’s AI policy and the booming developer ecosystem to China’s AI rivalries and the latest innovations in places like Singapore. A former Forbes bureau chief with bylines in The New York Times, she brings seasoned journalistic credibility to Bloomberg’s AI coverage. Her reporting style is polished and globally aware: she excels at explaining why a development in Asia matters worldwide, be it a new deeptech research hub or a regulatory move by an Asian government. Rai is especially influential in highlighting voices and companies outside Silicon Valley; her pieces often introduce Bloomberg’s international audience to key AI players in Asia, providing a more inclusive picture of the AI revolution. Readers value her work for its breadth and insight, as she contextualizes Asia’s unique challenges and contributions in the fast-evolving AI narrative.

X: @SarithaRai

As AI continues to evolve, the journalists on this list are doing the critical work of translating complexity into clarity and hype into accountability. Their reporting doesn’t just inform; it challenges, guides, and often shapes public understanding of one of the most transformative technologies of our time. Whether you're a founder, a researcher, or just curious about where AI is heading, following these voices will keep you grounded, informed, and ahead of the curve.