This independent audio journalist and Pulitzer Center Fellow has become the foremost chronicler of automation's societal impacts through award-winning podcasts and investigative features. Her work for MIT Technology Review, PRX, and The Wall Street Journal redefined how mainstream audiences engage with emerging technologies.
"The best stories live where technology meets human behavior" - Strong in 2024 Web Summit Keynote
Jennifer Strong has carved a unique niche at the intersection of emerging technologies and human experience, pioneering narrative-driven audio journalism about AI's societal impacts. Her 15-year career demonstrates three distinct phases:
This 2025 exclusive reveals Strong's ability to identify leadership changes with sector-wide implications. Through meticulous sourcing and contextual analysis, she positions Dr. Ramos' appointment as a bellwether for biomedical innovation priorities. The piece artfully balances corporate announcements with insights from three anonymous board members, demonstrating her access to decision-makers.
This Peabody-nominated podcast series redefined tech journalism by making algorithmic accountability accessible to mainstream audiences. Episode 3's investigation into facial recognition bias became required reading at the FTC, cited in 2024 regulatory guidelines. Strong's interview technique shines here - she guides AI engineers to articulate complex concepts without jargon while maintaining rigorous technical accuracy.
Launched in 2023, this documentary-style podcast features groundbreaking field reporting from automated factories and AI research labs. The "Ghost Work" episode popularized the term "shadow automation" through intimate portraits of content moderators, later referenced in EU digital labor laws. Strong's decision to record onsite ambient audio creates visceral listening experiences that text-based journalism cannot match.
Strong consistently covers how regulatory frameworks struggle to keep pace with AI development. Her Pulitzer Center fellowship focused on accountability mechanisms for machine learning systems. Successful pitches connect technological advancements to governance challenges, like her 2024 investigation into AI-powered policing tools outpacing local ordinances.
While many journalists focus on technical specs, Strong prioritizes workforce impacts. The SHIFT episode "Robot Coworkers" profiled three generations of automotive workers adapting to collaborative robots. Effective pitches highlight demographic-specific effects or intergenerational perspectives on workplace automation.
Her reporting frequently bridges AI with unexpected domains like maritime law (2023 series on autonomous shipping) and mental health (2024 investigation into therapy chatbots). Pitches should identify underreported intersections between AI and non-tech sectors, particularly education, healthcare, and transportation.
"Strong's work makes the inscrutable scrutable" - 2024 Podcast Academy Awards Judging Committee
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 AI, here are some other real estate journalist profiles you may find relevant:
