WSJ Tech News Briefing
Episode: TNB Tech Minute: JPMorgan Rolls Out First Tokenized Money-Market Fund
Date: December 15, 2025
Host: The Wall Street Journal
Reporter: Julie Chang
Episode Overview
This episode delivers a concise rundown of the day’s top tech news. Key stories include JPMorgan’s launch of its first tokenized money-market fund, new insight into CEO spending on AI despite mixed results, and iRobot's bankruptcy announcement.
Key Discussion Points & Insights
1. JPMorgan’s Tokenized Money-Market Fund
- Major Step into Crypto
JPMorgan is launching its first tokenized money-market fund, called the “My Onchain Net Yield Fund.” - Blockchain & Access Details
The private fund operates on the Ethereum blockchain.- Only qualified investors can participate, with a minimum investment of $1 million.
- Reflects a growing Wall Street interest in asset tokenization, especially since the passage of the Genius Act earlier in 2025.
- Industry Context
- “Tokenized money market funds have become an attractive offering for crypto investors because they allow holders to earn a yield while their assets remain entirely on the blockchain.”
— Julie Chang, [00:47]
- “Tokenized money market funds have become an attractive offering for crypto investors because they allow holders to earn a yield while their assets remain entirely on the blockchain.”
- Trend Acceleration
- This step is part of a broader and accelerating movement in asset tokenization among financial institutions.
2. CEO Sentiment on AI Investment
- Strong Commitment Despite Uncertain Returns
- A recent survey by Teneo of over 350 public company CEOs shows robust intent to invest in artificial intelligence.
- Stat: 68% plan to increase AI spending in 2026.
- A recent survey by Teneo of over 350 public company CEOs shows robust intent to invest in artificial intelligence.
- Mixed Results So Far
- Less than half of current AI projects have generated a positive return.
- "CEOs of some of the world's largest companies are all in on AI despite seeing spotty returns.” — Julie Chang, [00:56]
- Where AI Is Working Best
- Highest reported success in marketing and customer service applications.
“Respondents reported the most success using AI in marketing and customer service.” — Julie Chang, [01:21]
- Highest reported success in marketing and customer service applications.
- Areas with Challenges
- Security, legal, and human resources still pose adoption challenges. “Challenges using it in higher risk areas such as security, legal and human resources.” — Julie Chang, [01:26]
3. iRobot Declares Bankruptcy
- Company Background
- iRobot, known for the popular Roomba robotic vacuum, declared bankruptcy following years of financial difficulty.
- Competitive & Regulatory Pressures
- Faced significant foreign competition.
- Stock value dropped steeply after a planned Amazon acquisition fell through in 2024 due to regulatory intervention.
- Future Outlook
- The company assures customers that product support and functionality will continue during restructuring.
- “The company said it anticipates no disruptions to its product support or functionality while it restructures.” — Julie Chang, [01:41]
Notable Quotes & Memorable Moments
- On Tokenized Funds:
“Tokenized money market funds have become an attractive offering for crypto investors because they allow holders to earn a yield while their assets remain entirely on the blockchain.”
— Julie Chang, [00:47] - On CEO AI Spending:
“CEOs of some of the world's largest companies are all in on AI despite seeing spotty returns.”
— Julie Chang, [00:56] - On iRobot Bankruptcy:
“The company said it anticipates no disruptions to its product support or functionality while it restructures.”
— Julie Chang, [01:41]
Timestamps for Key Segments
- [00:11] — JPMorgan launches tokenized money-market fund
- [00:56] — CEO spending on AI: survey findings
- [01:32] — iRobot declares bankruptcy, maintains support
- [01:54] — Episode wrap
This Tech Minute spotlights the rapid advances and ongoing challenges shaping the tech industry—offering a window into Wall Street’s latest blockchain innovations, the evolving approaches to AI investment, and the pressures facing legacy tech companies.
