Reed Albergotti is the Technology Editor at Semafor. He focuses on a range of topics including artificial intelligence, machine learning, and financial technology, exploring the intersections of tech and finance. Reed's work has been featured in notable publications such as The Washington Post, Anchorage Daily News, and Yahoo News.
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United States (National)
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Reed Albergotti's coverage is varied, with a focus on software & SaaS and tech. His articles delve into legal and regulatory aspects as well as government announcements related to the industry. He also covers press releases.
Pitches should offer expert insights into the legal or regulatory implications of AI technologies, particularly in relation to copyright infringement and employee activism within tech companies like OpenAI, Google, and Microsoft. Additionally, providing commentary on how AI impacts IT workers' roles could be relevant.
Reed does not seem to have a specific geographic focus but rather provides international coverage of these topics.
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By: Reed Albergotti
The Scoop After more than two hours of announcements at Google I/O that included flashy new models, AI agents, a smarter search box, tools
The Trump administration's plans for an executive order regulating artificial intelligence were put on hold this week after some of the tech industry's
Reed's view The thing about becoming a publicly traded company is that bankers have to figure out how to value businesses that often don't fit into a neat box.
Reed's view The thing about becoming a publicly traded company is that bankers have to figure out how to value businesses that often don't fit into a neat box.
Where eCash and Bitcoin may have failed, the AI industry may have inadvertently created the first true digital store of value.
Reed's view It's an accident that the economic unit of AI is known as a “token.” The 19th century mathematician and philosopher Charles
Another week, another eye-watering valuation for an AI company. The economics are so unprecedented that Anthropic — which raised another $65 billion
As AI costs sting companies, Suleyman argues that cheap, distilled models are a shortcut that eventually fails.
Reed's view Amazon's decision to scrap its AI leaderboard after tokenmaxxing rapidly drove up costs is the most recent case of sticker shock hitting companies trying to implement AI.
The Scene Not long ago, Microsoft leapt ahead of competitors by funding OpenAI when it was a fledgling research lab.
