Asa Fitch is a reporter at The Wall Street Journal. His work primarily focuses on the intersection of finance and technology, covering themes such as artificial intelligence, trading, and commodities markets. Asa's insights have been featured in prominent publications including MarketWatch, Financial News, LiveMint, and Yahoo Finance.
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Asa Fitch's coverage focuses predominantly on the technology and finance sectors, with a significant emphasis on the chip industry. His articles encompass investment analysis, government announcements, and data citations.
Given this focus, Asa would likely respond well to pitches involving insights from experts in the tech or finance industries who can provide detailed analyses of market trends within the chip sector. Additionally, he may be interested in information related to new product developments or strategic moves made by major players like AMD, Nvidia, or Intel.
As his coverage encompasses world affairs as well as consumer electronics topics but does not specify any geographic focus other than mentioning specific locations such as Tennessee and New York; it is important to ensure that any pitches align with his broad international perspective while also considering potential local angles for relevance.
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A wave of cheap and powerful Chinese open-weight AI models is causing a scare among investors in the AI boom.
Some of the artificial intelligence boom’s biggest beneficiaries can cash in whether open models proliferate or not.
How much is an old AI chip worth? The answer to that question has significant financial and technical implications.
Plus, Nvidia’s financing backstop, and what better open-weight models means.
Nvidia's current financial position looks rock solid to say the least. But the financial engineering it is using to keep revenue growing introduces risks that could eventually cause real pain.
By: Asa Fitch
The financial engineering the company is using to keep revenue growing introduces risks that could eventually cause real pain.
By: Asa Fitch
Plus, Nvidia puts $6 billion more behind open-weight models, and rare-book dealers are conflicted about AI-era sales boost.
People change jobs a lot in tech. But AI's revolving door has been spinning especially fast of late—enough to raise real concerns about OpenAI and Google losing top talent.
Plus, Microsoft’s cloudy numbers and the impact of Canadian tariffs.
When tech companies started amping up spending on AI about three years ago, venture capitalist David Cahn asked a simple question: What was the gap between AI investment and the revenue generated from AI? These days, fewer people seem to care about the answer. It certainly won’t weigh on investors
