Nvidia has become the first publicly traded company to reach a $4 trillion market capitalization, closing at $164.02 on July 9 after a 2.5% gain. The milestone places Nvidia ahead of Microsoft and Apple, both of which previously topped $3 trillion. The company’s valuation has grown more than fifteenfold in five years, driven by sustained demand for its AI-focused chips and infrastructure. Nvidia’s hardware powers nearly every major generative and agentic AI system in operation today, including those used by Microsoft, Meta, Amazon, and Google. Analysts now consider Nvidia the central supplier for sovereign AI buildouts and national-scale data centers. In its most recent quarter, Nvidia reported $44.1 billion in revenue, up 69% year over year. Data center sales accounted for nearly 90% of that figure. Despite a $4.5 billion charge related to U.S. export restrictions on China-bound chips, the company posted earnings of $18.8 billion.
While Nvidia’s valuation reflects investor confidence in AI’s trajectory, a growing body of research is challenging the assumption that AI systems are intelligent in any meaningful sense. In a July 8 essay for Psychology Today, innovation theorist John Nosta argued that large language models may represent “anti-intelligence”—systems that produce coherent output without comprehension. Nosta described AI as structurally blind, fluent but ungrounded, and warned that the illusion of thought could become dangerous when AI authority outpaces understanding. A recent MIT study found that appending irrelevant phrases to math problems tripled error rates in GPT-4, revealing brittleness beneath the surface. Harvard researchers also documented cognitive dissonance in GPT-4o, showing that the model altered its opinion more dramatically when it believed it had made a free choice. These findings suggest that AI systems are absorbing human psychological patterns without awareness or intent.
Meanwhile, OpenAI, Microsoft, and Anthropic have partnered with the American Federation of Teachers to launch the National Academy for AI Instruction. The initiative, backed by $23 million in funding, will train 400,000 K–12 educators over five years. A bricks-and-mortar facility in Manhattan will open this fall, with additional hubs planned. The program includes workshops, online courses, and credential pathways. Microsoft is contributing $12.5 million, OpenAI $10 million, and Anthropic $500,000. The effort follows President Trump’s April executive order establishing a White House Task Force on AI Education. OpenAI’s Chris Lehane stated, “We want this technology to be used by teachers for their benefit, by helping them to learn, to think and to create.” Critics have raised concerns about overreliance and diminished critical thinking, citing studies from Carnegie Mellon and MIT that link GenAI use to reduced cognitive effort.
Elsewhere, the fight over web scraping has intensified. Cloudflare announced on July 1 that it will block AI crawlers from accessing content without permission or compensation. The company routes 16% of global internet traffic and now defaults to blocking bots unless publishers opt in. CEO Matthew Prince said, “AI crawlers have been scraping content without limits. Our goal is to put the power back in the hands of creators.” Publishers including Condé Nast, Gannett, and Dotdash Meredith have endorsed the move. Independent developers are also pushing back. Ottawa-based engineer Xe Iaso created Anubis, a tool that blocks AI bots using cryptographic browser tests. Anubis has been downloaded over 200,000 times. Cloudflare’s new “pay-per-crawl” model may reshape how AI companies access training data.
Publishers are also erecting barriers around their content. Axios reported that Google’s crawl-to-click ratio has worsened from 2:1 in 2015 to 18:1 in 2025. For OpenAI, the ratio is now 1,500:1. Cloudflare’s Prince noted, “People aren’t following the footnotes.” AI summaries are replacing direct traffic, undermining ad revenue. News outlets are deploying stricter robots.txt files and licensing frameworks. The Guardian, Ziff Davis, and Reddit have all taken steps to limit unauthorized scraping. Attribution and traceability are emerging as key priorities, with publishers demanding compensation and control.
Finally, futurist Adam Dorr warned that AI and robotics will replace nearly all human labor by 2045. Speaking at the Dargan Forum in Ireland, Dorr said, “Machines that can think are here, and their capabilities are expanding day by day with no end in sight.” He compared the shift to past disruptions like the automobile and electricity, arguing that humanoid robots will soon outperform humans in cost and capability. Dorr leads research at RethinkX and believes the transition will be tumultuous but potentially liberating. “Handled well, this revolution will usher in super-abundance,” he said. “Handled badly, new extremes of inequality and oligarchy beckon.” He called for urgent experimentation with new ownership structures and distribution models.
Sources
https://tech.yahoo.com/ai/articles/ai-scraping-fighting-back-120000872.html
https://www.axios.com/2025/06/19/ai-search-traffic-publishers
