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Business US EU

Investors Dump Software Stocks Globally

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Investors dumped software stocks worldwide, driving sharp price declines as new AI tools and heavier corporate AI spending raised fears that artificial intelligence could erode traditional software revenue models.

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Reminder: Palantir sells AI tools that help law enforcement agencies like ICE analyze massive amounts of personal data. It's a big reason why it is quickly becoming the most dangerous corporation in America. https://www.youtube.com/watch?v=x_VwyhErd88
The Most Dangerous Corporation in America?
The AI surveillance state is real — and it's being built by Palantir.
www.youtube.com
February 4, 2026 at 10:31 PM

Reposted by Greg Linden

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"One notable MIT study found that 95 percent of companies that integrated AI saw zero meaningful growth in revenue. For coding tasks, one of AI’s most widely hyped applications, another study showed that programmers who used AI coding tools actually became slower at their jobs.”
AI Completely Failing to Boost Productivity, Says Top Analyst
AI may or may not excel at a lot of things, but from an economic standpoint, it's definitely not making us more productive.
futurism.com
February 5, 2026 at 1:29 AM
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Today we’re releasing the International AI Safety Report 2026: the most comprehensive evidence-based assessment of AI capabilities, emerging risks, and safety measures to date. 🧵

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February 3, 2026 at 1:16 PM

Reposted by Aric Rindfleisch

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Reposted by Greg Linden

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Software experiencing 'most exciting moment' as AI fears hammer the stocks
Software experiencing 'most exciting moment' as AI fears hammer the stocks
Shares of software companies have been getting beaten up, and the selloff accelerated this week after Anthropic's latest unveiling.
cnb.cx
February 5, 2026 at 12:44 AM

Reposted by Aric Rindfleisch

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Reposted by Robert Klitgaard

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"Artificial Intelligence and Labor Markets: Evidence from Google Trends" has been published at the Journal of Economics and Finance: doi.org/10.1007/s12197-025-... Free working paper version is available at dx.doi.org/10.2139/ssrn.482...
February 4, 2026 at 1:30 AM
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AI poses an “evidence dilemma” to policymakers—capabilities evolve quickly, but scientific evidence emerges far more slowly.
Acting too early risks entrenching ineffective policies, but waiting for strong evidence may leave society vulnerable to risks.

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February 3, 2026 at 1:16 PM

Reposted by Luke Zettlemoyer

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These capabilities are increasingly translating into real-world impact.
At least 700 million people now use leading AI systems weekly. In the US, use of AI has spread faster than that of computers and the internet.

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February 3, 2026 at 1:16 PM
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What the Literature is Filling Up With
www.science.org
February 4, 2026 at 9:32 PM