{"id":854,"date":"2026-07-30T10:07:30","date_gmt":"2026-07-30T10:07:30","guid":{"rendered":"https:\/\/americanlivingreport.com\/?p=854"},"modified":"2026-07-30T10:07:30","modified_gmt":"2026-07-30T10:07:30","slug":"ai-could-end-up-too-cheap-to-control","status":"publish","type":"post","link":"https:\/\/americanlivingreport.com\/?p=854","title":{"rendered":"AI could end up too cheap to control"},"content":{"rendered":"
\n
\n
\n
\n
\n

The AI industry\u2019s investors and critics don\u2019t agree on much. But many in each camp share at least one basic conviction: America\u2019s top labs are about to make a killing.<\/p>\n

Read more The Covid debate that never ended<\/a><\/p>\n<\/div>\n

\n

Capital markets have signaled their faith in Anthropic and OpenAI\u2019s impending hyper-profitability, valuing each at nearly $1 trillion. Many of Silicon Valley\u2019s progressive adversaries also expect the labs to grow filthy rich but fear the implications, warning that AI-induced automation could transfer vast sums of money from ordinary workers to a handful of giant tech companies. Sen. Bernie Sanders\u2019s call for nationalizing the top AI labs rests partly on that concern.<\/p>\n<\/div>\n

\n

But recent advances in Chinese AI call all of this into question.<\/p>\n<\/div>\n

\n

Over the past two months, Chinese companies have released three AI models that are nearly as powerful as America\u2019s frontier systems \u2014 and radically less expensive.<\/p>\n<\/div>\n

\n

In June, Beijing\u2019s Z.ai debuted a model that performed nearly as well as Claude and ChatGPT\u2019s second-tier systems on independent benchmarks. Weeks later, another Chinese firm, Moonshot, unveiled \u201cKimi K3,\u201d a model that allegedly outperforms all of its American rivals except for the very latest versions of Claude and ChatGPT. Finally, just days ago, Alibaba launched a preview of Qwen3.8 Max, which purportedly outclasses even OpenAI\u2019s most advanced systems, while trailing only Claude\u2019s Fable in its capabilities. (Disclosure: Vox Media is one of several publishers that have signed partnership agreements with OpenAI. Our reporting remains editorially independent.)<\/p>\n<\/div>\n

\n

These developments don\u2019t merely threaten America\u2019s AI giants with stiffer competition in the race for superintelligence. Rather, they raise a more harrowing prospect: that the AI race\u2019s ultimate rewards will be far smaller than anticipated. In a world where new advances can regularly be leapfrogged by cheaper upstarts, hoarding the technology \u2014 and its profits \u2014 will be harder for any one company to do.<\/p>\n<\/div>\n

\n

In other words, building a machine God might not be as lucrative as it\u2019s cracked up to be. AI, it turns out, may \u201cwant to be free.\u201d<\/p>\n<\/div>\n

\n
\n

How AI was supposed to pay off<\/strong><\/h2>\n<\/div>\n<\/div>\n
\n

To see how China\u2019s new models threaten Anthropic\u2019s profit expectations, we must first examine why<\/em> those expectations have been so high.<\/p>\n<\/div>\n

\n

This is not entirely self-evident. After all, AI labs aren\u2019t much like the hyper-profitable tech giants of the 2010s. Facebook and Airbrb were relatively capital-light businesses with ultra-low marginal costs (adding a profile to Facebook or listing to Airbnb costs the companies virtually nothing). And once each gained a foothold in their respective markets, network effects enabled them to retain formidable positions without needing to constantly upgrade their products.<\/p>\n<\/div>\n

\n

Building a state-of-the-art AI company is a much more involved \u2014 and astronomically more expensive \u2014 endeavor. To get to the frontier, Anthropic and OpenAI have sunk (at least) tens of billions into semiconductors, data centers, power plants, and other capital investments. Staying at the cutting-edge, meanwhile, compels them to perpetually churn out evermore costly models.<\/p>\n<\/div>\n

\n

To put a new Claude model through its initial training \u2014 in which it spends months digesting the internet and sussing out statistical patterns within its text \u2014 can now cost hundreds of millions of dollars. And such foundational computation is only the beginning. A truly superlative model requires several additional months of fine-tuning. Armies of contracted experts \u2014 such as computer scientists, physicians, and mathematicians \u2014 tutor the models, grading their answers and guiding them towards better ones. Then the AI systems complete millions of rounds of practice, in which they learn through trial and error how to solve countless problems. This arduous process, known as \u201cpost-training,\u201d compounds the costs of a single model\u2019s development.<\/p>\n<\/div>\n

\n

All of which raises the question: Why would investors expect businesses with a cost-structure this challenging to be not merely profitable, but massively so?<\/p>\n<\/div>\n

\n

There are (at least) two answers. The first (and most obvious) is that the market for superintelligent machines is liable to be vast. Frontier AI systems promise to reduce costs and improve performance in myriad white-collar sectors. And Anthropic\u2019s soaring revenues indicate that firms do, in fact, find Claude useful. A company like AirBnB has earned billions by revolutionizing a single industry; imagine then what a technology that remade virtually all industries might be worth.<\/p>\n<\/div>\n

\n

Of course, plenty of technologies are valuable but not massively<\/em> profitable to produce. After all, in well-functioning markets, competition should eventually erode individual firms\u2019 margins, even if the underlying technology continues generating huge value.<\/p>\n<\/div>\n

\n

But this is where the second answer comes in: Frontier labs\u2019 immense costs are a burden, but they\u2019re also a safeguard against competition \u2014 or, in industry parlance, a \u201cmoat.\u201d<\/p>\n<\/div>\n

\n

Startups may be able to afford to build or acquire more rudimentary models, many of which are \u201copen source.\u201d But, the thinking goes, they won\u2019t be able to deliver Claude Fable-level performance without raising giant amounts of capital. And what investors will be willing to pour hundreds of billions into an AI pipsqueak that\u2019s light-years behind Google, Anthropic, and OpenAI?<\/p>\n<\/div>\n

\n

Alas, the Chinese AI labs\u2019 rapid progress \u2014 and the way it was achieved \u2014 suggest that Anthropic\u2019s moat may be shallower than previously thought.<\/p>\n<\/div>\n

\n
\n

How Moonshot swam Anthropic\u2019s moat<\/strong><\/h2>\n<\/div>\n<\/div>\n
\n

The existence of powerful, Chinese AI systems is neither new nor surprising. Xi Jinping\u2019s government has made vying for global AI dominance a key economic goal. And China\u2019s DeepSeek, which also has stunned US companies with its lower-cost competitive models, surpassed ChatGPT as the most-downloaded free iPhone app more than a year ago.<\/p>\n<\/div>\n

\n

The latest models, however, have dramatically narrowed the gap in capabilities between frontier American systems and their Chinese rivals. Just as critically, they\u2019ve done so in a manner that other, relatively underfunded AI upstarts might be able to emulate.<\/p>\n<\/div>\n

\n

Alibaba and Moonshot needed to invest massive resources to train their base models. But they allegedly found a low-cost way to refine those models into near-frontier systems: Just ask Claude.<\/p>\n<\/div>\n

\n

Or, more specifically: Engage Claude in 16 million conversations, using 24,000 fake accounts. In each of those exchanges, ask the model to not only answer countless difficult questions but also, walk you through its reasoning, step by step. Then take all of this data and feed it into your own model as study material, training it to respond to the world\u2019s most challenging queries as Claude would.<\/p>\n

Read more Trump wants the Supreme Court to give him the unilateral power to rewrite election law<\/a><\/p>\n<\/div>\n

\n

Through this process \u2014 known as \u201cdistillation\u201d \u2014 an AI lab can replicate virtually all of a frontier model\u2019s capacities, without sinking vast sums into human experts and post-training computing runs.<\/p>\n<\/div>\n

\n

China\u2019s AI labs have not admitted to using distillation. But OpenAI and Anthropic both reportedly uncovered Chinese distillation attempts earlier this year. And some of the new models appear to display tell-tale signs of distillation in conversations with ordinary users; Kimi K3 has routinely identified itself as \u201cClaude.\u201d<\/p>\n<\/div>\n

\n

Chinese AI companies are hardly alone in using distillation to catch up with frontier labs. Earlier this year, Elon Musk admitted in court that xAI enhanced Grok\u2019s capabilities by running distillation techniques on Claude and ChatGPT. Nonetheless, China\u2019s latest models appear to demonstrate that distillation can help take a second-tier model to the frontier\u2019s threshold.<\/p>\n<\/div>\n

\n

America\u2019s frontier labs have tried to defend themselves against such imitators. But this is technically difficult when distillers can assemble massive networks of bots, each asking an inconspicuous number of questions. And legally, it is difficult for America\u2019s AI giants to argue that distillers are stealing their intellectual property. After all, in a sense, China\u2019s copycats are merely doing to Anthropic and OpenAI what those companies did to journalists, coders, lawyers and other specialists: Feeding their public-facing outputs into a model, which then replicates their capabilities by discerning underlying patterns within the text.<\/p>\n<\/div>\n

\n
\n

Oh, and China\u2019s giving these models away<\/strong><\/h2>\n<\/div>\n<\/div>\n
\n

The new Chinese models would have caused Silicon Valley enough headaches, if they merely provided stiffer competition, while demonstrating the power of distillation.<\/p>\n<\/div>\n

\n

What makes Kimi K3 and Qwen3.8 Max especially threatening to the American AI giants\u2019 profitmaking potential, however, is that they are officially open source \u2014 meaning that the models\u2019 parameters can be downloaded for free. (Alibaba and Moonshot have not yet released these parameters, but they say they will shortly.)<\/p>\n<\/div>\n

\n

In other words, any company or hobbyist with enough computing power will soon be able to run a near-frontier Chinese model on their own hardware, modify that model to better serve a specialized purpose, and then sell access to their new version \u2014 without paying Alibiba a single yuan.<\/p>\n<\/div>\n

\n

For many of Anthropic and OpenAI\u2019s potential customers, that proposition may be hard to turn down. Most businesses don\u2019t need the world\u2019s smartest AI, just one competent at their enterprise\u2019s core tasks \u2014 compiling legal research, answering IT queries, writing working code, etc. A model that produces outputs 90 percent as good as Claude\u2019s \u2014 at roughly one-sixth of the cost \u2014 will sound pretty good to many corporations.<\/p>\n<\/div>\n

\n

Further, open source models aren\u2019t just cheaper than frontier systems, but potentially more secure. If you run an AI on your firm\u2019s own servers, then you don\u2019t need to entrust sensitive data to Anthropic, Google, or OpenAI.<\/p>\n<\/div>\n

\n

All this had led much of corporate America to embrace open-source models, even before the latest versions narrowed the capabilities gap. In a Linux Foundation survey, 63 percent of organizations reported using open-source AI systems.<\/p>\n<\/div>\n

\n

And increasingly, those models are Chinese. According to Sequoia Capital, one of Silicon Valley\u2019s premier venture capitalist firms, a majority of American AI startups now use open-source Chinese systems. As Kimi and Qwen grow more capable, their market-share is likely to grow, at American AI giants\u2019 expense.<\/p>\n<\/div>\n

\n
\n

What\u2019s bad for OpenAI is good (and\/or catastrophic) for humanity<\/strong><\/h2>\n<\/div>\n<\/div>\n
\n

All this said, it is still entirely possible that OpenAI and Anthropic will justify their colossal valuations. In many highly competitive economic domains, having access to the world\u2019s very best AI model will remain highly valuable. And America\u2019s frontier labs still outperform all their peers.<\/p>\n<\/div>\n

\n

But it\u2019s increasingly plausible that selling state-of-the-art AI systems will prove to be a low-margin undertaking. In a world of ubiquitous, near-frontier open source models, the AI sector\u2019s big winners probably won\u2019t be its top labs, but rather, its chipmakers and cloud computing providers. <\/p>\n<\/div>\n

\n

For ordinary people, a future where superintelligence is dirt cheap \u2014 and rival AI companies are constantly rising and falling, rather than consolidating into mega-corporations \u2014 would look somewhat different than the cyberpunk dystopia that the left\u2019s been dreading.<\/p>\n<\/div>\n

\n

And not entirely in a good way. For one thing, in that reality, mitigating AI\u2019s biggest risks would be immensely difficult. Having a handful of firms monopolize control over frontier AI systems is bad in many respects. But it does make those models easier to regulate, as the Trump administration\u2019s decision to temporarily block Claude\u2019s Fable in the name of cybersecurity demonstrated.<\/p>\n<\/div>\n

\n

By contrast, if recipes for ultra-powerful AI models are published all over the internet \u2014 and anyone with modest technical skills can modify them at will \u2014 then systems willing to help their users hack government bureaucracies or engineer bio-weapons are liable to proliferate.<\/p>\n<\/div>\n

\n

From another angle, however, the \u201cAI becomes almost free\u201d scenario may look like capitalism at its finest: Retrospectively, such a development would mean that a small number of extremely rich people bankrolled the creation of an immensely useful technology, under the expectation of massive profits, only to see competition erode their returns \u2014 and disperse that tech\u2019s benefits across a wider group of businesses and consumers.<\/p>\n<\/div>\n

\n

Granted, in the case of AI, this process might also generate a super-virus that kills us all. But hey, no system is perfect.<\/p>\n

Read more Costco\u2019s organic chicken isn\u2019t what it seems<\/a><\/p>\n<\/div>\n

See More:<\/span><\/p>\n
    \n
  • Artificial Intelligence<\/li>\n
  • China<\/li>\n
  • Innovation<\/li>\n
  • Politics<\/li>\n
  • Technology<\/li>\n
  • World Politics<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    In recent weeks, Chinese companies have released two AI models \u2014 Kimi K3 and Qwen3.8 Max \u2014 that are nearly as powerful as ChatGPT and much less expensive.<\/p>\n","protected":false},"author":1,"featured_media":853,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-854","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interesting"],"yoast_head":"\nAI could end up too cheap to control - American Living Report<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/americanlivingreport.com\/?p=854\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI could end up too cheap to control - American Living Report\" \/>\n<meta property=\"og:description\" content=\"In recent weeks, Chinese companies have released two AI models \u2014 Kimi K3 and Qwen3.8 Max \u2014 that are nearly as powerful as ChatGPT and much less expensive.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/americanlivingreport.com\/?p=854\" \/>\n<meta property=\"og:site_name\" content=\"American Living Report\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-30T10:07:30+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/#\\\/schema\\\/person\\\/7b970e3bc484fe2e26860a4380d70de8\"},\"headline\":\"AI could end up too cheap to control\",\"datePublished\":\"2026-07-30T10:07:30+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854\"},\"wordCount\":2001,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/americanlivingreport.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp\",\"articleSection\":[\"Interesting\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854\",\"url\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854\",\"name\":\"AI could end up too cheap to control - American Living Report\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/americanlivingreport.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp\",\"datePublished\":\"2026-07-30T10:07:30+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/#\\\/schema\\\/person\\\/7b970e3bc484fe2e26860a4380d70de8\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/americanlivingreport.com\\\/?p=854\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#primaryimage\",\"url\":\"https:\\\/\\\/americanlivingreport.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp\",\"contentUrl\":\"https:\\\/\\\/americanlivingreport.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp\",\"width\":1200,\"height\":624},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/?p=854#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/americanlivingreport.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI could end up too cheap to control\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/#website\",\"url\":\"https:\\\/\\\/americanlivingreport.com\\\/\",\"name\":\"American Living Report\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/americanlivingreport.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/americanlivingreport.com\\\/#\\\/schema\\\/person\\\/7b970e3bc484fe2e26860a4380d70de8\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/50b1ad2e498f523425ee0a8cc5180a210646db1622662a3d56cc405d3e0c346a?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/50b1ad2e498f523425ee0a8cc5180a210646db1622662a3d56cc405d3e0c346a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/50b1ad2e498f523425ee0a8cc5180a210646db1622662a3d56cc405d3e0c346a?s=96&d=mm&r=g\",\"caption\":\"admin\"},\"sameAs\":[\"http:\\\/\\\/americanlivingreport.com\"],\"url\":\"https:\\\/\\\/americanlivingreport.com\\\/?author=1\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI could end up too cheap to control - American Living Report","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/americanlivingreport.com\/?p=854","og_locale":"en_US","og_type":"article","og_title":"AI could end up too cheap to control - American Living Report","og_description":"In recent weeks, Chinese companies have released two AI models \u2014 Kimi K3 and Qwen3.8 Max \u2014 that are nearly as powerful as ChatGPT and much less expensive.","og_url":"https:\/\/americanlivingreport.com\/?p=854","og_site_name":"American Living Report","article_published_time":"2026-07-30T10:07:30+00:00","author":"admin","twitter_card":"summary_large_image","twitter_misc":{"Written by":"admin","Est. reading time":"10 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/americanlivingreport.com\/?p=854#article","isPartOf":{"@id":"https:\/\/americanlivingreport.com\/?p=854"},"author":{"name":"admin","@id":"https:\/\/americanlivingreport.com\/#\/schema\/person\/7b970e3bc484fe2e26860a4380d70de8"},"headline":"AI could end up too cheap to control","datePublished":"2026-07-30T10:07:30+00:00","mainEntityOfPage":{"@id":"https:\/\/americanlivingreport.com\/?p=854"},"wordCount":2001,"commentCount":0,"image":{"@id":"https:\/\/americanlivingreport.com\/?p=854#primaryimage"},"thumbnailUrl":"https:\/\/americanlivingreport.com\/wp-content\/uploads\/2026\/07\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp","articleSection":["Interesting"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/americanlivingreport.com\/?p=854#respond"]}]},{"@type":"WebPage","@id":"https:\/\/americanlivingreport.com\/?p=854","url":"https:\/\/americanlivingreport.com\/?p=854","name":"AI could end up too cheap to control - American Living Report","isPartOf":{"@id":"https:\/\/americanlivingreport.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/americanlivingreport.com\/?p=854#primaryimage"},"image":{"@id":"https:\/\/americanlivingreport.com\/?p=854#primaryimage"},"thumbnailUrl":"https:\/\/americanlivingreport.com\/wp-content\/uploads\/2026\/07\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp","datePublished":"2026-07-30T10:07:30+00:00","author":{"@id":"https:\/\/americanlivingreport.com\/#\/schema\/person\/7b970e3bc484fe2e26860a4380d70de8"},"breadcrumb":{"@id":"https:\/\/americanlivingreport.com\/?p=854#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/americanlivingreport.com\/?p=854"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/americanlivingreport.com\/?p=854#primaryimage","url":"https:\/\/americanlivingreport.com\/wp-content\/uploads\/2026\/07\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp","contentUrl":"https:\/\/americanlivingreport.com\/wp-content\/uploads\/2026\/07\/ff06fe14bb8cdb0d8b589b29b73b98c1.webp","width":1200,"height":624},{"@type":"BreadcrumbList","@id":"https:\/\/americanlivingreport.com\/?p=854#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/americanlivingreport.com\/"},{"@type":"ListItem","position":2,"name":"AI could end up too cheap to control"}]},{"@type":"WebSite","@id":"https:\/\/americanlivingreport.com\/#website","url":"https:\/\/americanlivingreport.com\/","name":"American Living Report","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/americanlivingreport.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/americanlivingreport.com\/#\/schema\/person\/7b970e3bc484fe2e26860a4380d70de8","name":"admin","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/50b1ad2e498f523425ee0a8cc5180a210646db1622662a3d56cc405d3e0c346a?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/50b1ad2e498f523425ee0a8cc5180a210646db1622662a3d56cc405d3e0c346a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/50b1ad2e498f523425ee0a8cc5180a210646db1622662a3d56cc405d3e0c346a?s=96&d=mm&r=g","caption":"admin"},"sameAs":["http:\/\/americanlivingreport.com"],"url":"https:\/\/americanlivingreport.com\/?author=1"}]}},"_links":{"self":[{"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=\/wp\/v2\/posts\/854","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=854"}],"version-history":[{"count":0,"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=\/wp\/v2\/posts\/854\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=\/wp\/v2\/media\/853"}],"wp:attachment":[{"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=854"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=854"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/americanlivingreport.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=854"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}