If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can\u2019t even read a clock. The 2026 AI Index from Stanford University\u2019s Institute for Human-Centered Artificial Intelligence, AI\u2019s annual report card, comes out today and cuts through some of that noise. <\/p>\n
Despite predictions that AI development may hit a wall, the report says that the top models just keep getting better. People are adopting AI faster than they picked up the personal computer or the internet. AI companies are generating revenue faster than companies in any previous technology boom, but they\u2019re also spending hundreds of billions of dollars on data centers and chips. The benchmarks designed to measure AI, the policies meant to govern it, and the job market are struggling to keep up. AI is sprinting, and the rest of us are trying to find our shoes.<\/p>\n
All that speed comes at a cost. AI data centers around the world can now draw 29.6 gigawatts of power, enough to run the entire state of New York at peak demand. Annual water use from running OpenAI\u2019s GPT-4o alone may exceed the drinking water needs of 12 million people. At the same time, the supply chain for chips is alarmingly fragile. The US hosts most of the world\u2019s AI data centers, and one company in Taiwan, TSMC, fabricates almost every leading AI chip. <\/p>\n
The data reveals a technology evolving faster than we can manage. Here\u2019s a look at some of the key points from this year\u2019s report. <\/p>\n
The US and China are nearly tied<\/strong><\/h3>\nIn a long, heated race with immense geopolitical stakes, the US and China are almost neck and neck on AI model performance, according to Arena, a community-driven ranking platform that allows users to compare the outputs of large language models on identical prompts. In early 2023, OpenAI had a lead with ChatGPT, but this gap narrowed in 2024 as Google and Anthropic released their own models. In February 2025, R1, an AI model built by the Chinese lab DeepSeek, briefly matched the top US model, ChatGPT. As of March 2026, Anthropic leads, trailed closely by xAI, Google, and OpenAI. Chinese models like DeepSeek and Alibaba lag only modestly. With the best AI models separated in the rankings by razor-thin margins, they\u2019re now competing on cost, reliability, and real-world usefulness. <\/p>\n![\"Chart](\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/04\/AIIndex-1.jpg\")
<\/figure>\nThe index notes that the US and China have different AI advantages. While the US has more powerful AI models, more capital, and an estimated 5,427 data centers (more than 10 times as many as any other country), China leads in AI research publications, patents, and robotics. <\/p>\n
As competition intensifies, companies like OpenAI, Anthropic, and Google no longer disclose their training code, parameter counts, or data-set sizes. \u201cWe don\u2019t know a lot of things about predicting model behaviors,\u201d says Yolanda Gil, a computer scientist at the University of Southern California who coauthored the report. This lack of transparency makes it difficult for independent researchers to study how to make AI models safer, she says.<\/p>\n
AI models are advancing super fast<\/strong><\/h3>\nDespite predictions that development will plateau, AI models keep getting better and better. By some measures, they now meet or exceed the performance of human experts on tests that aim to measure PhD-level science, math, and language understanding. SWE-bench Verified, a software engineering benchmark for AI models, saw top scores jump from around 60% in 2024 to almost 100% in 2025. In 2025, an AI system produced a weather forecast on its own. <\/p>\n
\u201cI am stunned that this technology continues to improve, and it\u2019s just not plateauing in any way,\u201d says Gil.<\/p>\n![\"line](\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/04\/AIIndex-2.jpg\")
<\/figure>\nHowever, AI still struggles in plenty of other areas. Because the models learn by processing enormous amounts of text and images rather than by experiencing the physical world, AI exhibits \u201cjagged intelligence.\u201d Robots are still in their early days and succeed in only 12% of household tasks. Self-driving cars are farther along: Waymos are now roaming across five US cities, and Baidu\u2019s Apollo Go vehicles are shuttling riders around in China. AI is also expanding into professional domains like law and finance, but no model dominates the field yet. <\/p>\n
But the way we test AI is broken<\/strong><\/h3>\nThese reports of progress should be taken with a grain of salt. The benchmarks designed to track AI progress are struggling to keep up as models quickly blow past their ceilings, the Stanford report says. Some are poorly constructed\u2014a popular benchmark that tests a model\u2019s math abilities has a 42% error rate. Others can be gamed: when models are trained on benchmark test data, for example, they can learn to score well without getting smarter.\u00a0<\/p>\n
Because AI is rarely used the same way it\u2019s tested, strong benchmark performance doesn\u2019t always translate to real-world performance. And for complex, interactive technologies such as AI agents and robots, benchmarks barely exist yet.\u00a0<\/div>\n<\/p>\nAI companies are also sharing less about how their models are trained, and independent testing sometimes tells a different story from what they report. \u201cA lot of companies are not releasing how their models do in certain benchmarks, particularly the responsible-AI benchmarks,\u201d says Gil. \u201cThe absence of how your model is doing on a benchmark maybe says something.\u201d <\/p>\n
AI is starting to affect jobs<\/strong><\/h3>\nWithin three years of going mainstream, AI is now used by more than half of people around the world, a rate of adoption faster than the personal computer or the internet. An estimated 88% of organizations now use AI, and four in five university students use it. <\/p>\n
It\u2019s early days for deployment, and AI\u2019s impact on jobs is hard to measure. Still, some studies suggest AI is beginning to affect young workers in certain professions. According to a 2025 study by economists at Stanford, employment for software developers aged 22 to 25 has fallen nearly 20% since 2022. The decline might not be pinned on AI alone, as broader macroeconomic conditions could be to blame, but AI appears to be playing a part.<\/p>\n![\"two](\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/04\/AIindex-3.jpg\")
<\/figure>\nEmployers say that hiring may continue to tighten. According to a 2025 survey conducted by McKinsey & Company, a third of organizations expect AI to shrink their workforce in the coming year, particularly in service and supply chain operations and software engineering. AI is boosting productivity by 14% in customer service and 26% in software development, according to research cited by the index, but such gains are not seen in tasks requiring more judgment. Overall, it\u2019s still too early to understand the bigger economic impact of AI. <\/p>\n
People have complicated feelings about AI <\/strong><\/h3>\nAround the world, people feel both optimistic and anxious about AI: 59% of people think that it will provide more benefits than drawbacks, while 52% say that it makes them nervous, according to an Ipsos survey cited in the index. <\/p>\n
Notably, experts and the public see the future of AI very differently, according to a Pew survey. The biggest gap is around the future of work: While 73% of experts think that AI will have a positive impact on how people do their jobs, only 23% of the American public thinks so. Experts are also more optimistic than the public about AI\u2019s impact on education and medical care, but they agree that AI will hurt elections and personal relationships.<\/p>\n![\"Bar](\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/04\/AIIndex-4.jpg\")
<\/figure>\nAmong all countries surveyed, Americans trust their government least to regulate AI appropriately, according to another Ipsos survey. More Americans worry federal AI regulation won\u2019t go far enough than worry it will go too far. <\/p>\n
Governments are struggling to regulate AI<\/strong><\/h3>\nGovernments around the world are struggling to regulate AI, but there were some minor successes last year. The EU AI Act\u2019s first prohibitions, which ban the use of AI in predictive policing and emotion recognition,<\/strong> took effect. Japan, South Korea, and Italy also passed national AI laws. Meanwhile, the US federal government moved toward deregulation, with President Trump issuing an executive order seeking to handcuff states from regulating AI. <\/p>\nDespite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n![\"line](\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/04\/fig_8.4.4.jpg\")
<\/figure>\nBut for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n
#understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/figure>\nThe index notes that the US and China have different AI advantages. While the US has more powerful AI models, more capital, and an estimated 5,427 data centers (more than 10 times as many as any other country), China leads in AI research publications, patents, and robotics. <\/p>\n
As competition intensifies, companies like OpenAI, Anthropic, and Google no longer disclose their training code, parameter counts, or data-set sizes. \u201cWe don\u2019t know a lot of things about predicting model behaviors,\u201d says Yolanda Gil, a computer scientist at the University of Southern California who coauthored the report. This lack of transparency makes it difficult for independent researchers to study how to make AI models safer, she says.<\/p>\n
AI models are advancing super fast<\/strong><\/h3>\nDespite predictions that development will plateau, AI models keep getting better and better. By some measures, they now meet or exceed the performance of human experts on tests that aim to measure PhD-level science, math, and language understanding. SWE-bench Verified, a software engineering benchmark for AI models, saw top scores jump from around 60% in 2024 to almost 100% in 2025. In 2025, an AI system produced a weather forecast on its own. <\/p>\n
\u201cI am stunned that this technology continues to improve, and it\u2019s just not plateauing in any way,\u201d says Gil.<\/p>\n<\/figure>\nHowever, AI still struggles in plenty of other areas. Because the models learn by processing enormous amounts of text and images rather than by experiencing the physical world, AI exhibits \u201cjagged intelligence.\u201d Robots are still in their early days and succeed in only 12% of household tasks. Self-driving cars are farther along: Waymos are now roaming across five US cities, and Baidu\u2019s Apollo Go vehicles are shuttling riders around in China. AI is also expanding into professional domains like law and finance, but no model dominates the field yet. <\/p>\n
But the way we test AI is broken<\/strong><\/h3>\nThese reports of progress should be taken with a grain of salt. The benchmarks designed to track AI progress are struggling to keep up as models quickly blow past their ceilings, the Stanford report says. Some are poorly constructed\u2014a popular benchmark that tests a model\u2019s math abilities has a 42% error rate. Others can be gamed: when models are trained on benchmark test data, for example, they can learn to score well without getting smarter.\u00a0<\/p>\n
Because AI is rarely used the same way it\u2019s tested, strong benchmark performance doesn\u2019t always translate to real-world performance. And for complex, interactive technologies such as AI agents and robots, benchmarks barely exist yet.\u00a0<\/div>\n<\/p>\nAI companies are also sharing less about how their models are trained, and independent testing sometimes tells a different story from what they report. \u201cA lot of companies are not releasing how their models do in certain benchmarks, particularly the responsible-AI benchmarks,\u201d says Gil. \u201cThe absence of how your model is doing on a benchmark maybe says something.\u201d <\/p>\n
AI is starting to affect jobs<\/strong><\/h3>\nWithin three years of going mainstream, AI is now used by more than half of people around the world, a rate of adoption faster than the personal computer or the internet. An estimated 88% of organizations now use AI, and four in five university students use it. <\/p>\n
It\u2019s early days for deployment, and AI\u2019s impact on jobs is hard to measure. Still, some studies suggest AI is beginning to affect young workers in certain professions. According to a 2025 study by economists at Stanford, employment for software developers aged 22 to 25 has fallen nearly 20% since 2022. The decline might not be pinned on AI alone, as broader macroeconomic conditions could be to blame, but AI appears to be playing a part.<\/p>\n<\/figure>\nEmployers say that hiring may continue to tighten. According to a 2025 survey conducted by McKinsey & Company, a third of organizations expect AI to shrink their workforce in the coming year, particularly in service and supply chain operations and software engineering. AI is boosting productivity by 14% in customer service and 26% in software development, according to research cited by the index, but such gains are not seen in tasks requiring more judgment. Overall, it\u2019s still too early to understand the bigger economic impact of AI. <\/p>\n
People have complicated feelings about AI <\/strong><\/h3>\nAround the world, people feel both optimistic and anxious about AI: 59% of people think that it will provide more benefits than drawbacks, while 52% say that it makes them nervous, according to an Ipsos survey cited in the index. <\/p>\n
Notably, experts and the public see the future of AI very differently, according to a Pew survey. The biggest gap is around the future of work: While 73% of experts think that AI will have a positive impact on how people do their jobs, only 23% of the American public thinks so. Experts are also more optimistic than the public about AI\u2019s impact on education and medical care, but they agree that AI will hurt elections and personal relationships.<\/p>\n<\/figure>\nAmong all countries surveyed, Americans trust their government least to regulate AI appropriately, according to another Ipsos survey. More Americans worry federal AI regulation won\u2019t go far enough than worry it will go too far. <\/p>\n
Governments are struggling to regulate AI<\/strong><\/h3>\nGovernments around the world are struggling to regulate AI, but there were some minor successes last year. The EU AI Act\u2019s first prohibitions, which ban the use of AI in predictive policing and emotion recognition,<\/strong> took effect. Japan, South Korea, and Italy also passed national AI laws. Meanwhile, the US federal government moved toward deregulation, with President Trump issuing an executive order seeking to handcuff states from regulating AI. <\/p>\nDespite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n<\/figure>\nBut for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n
#understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/figure>\nHowever, AI still struggles in plenty of other areas. Because the models learn by processing enormous amounts of text and images rather than by experiencing the physical world, AI exhibits \u201cjagged intelligence.\u201d Robots are still in their early days and succeed in only 12% of household tasks. Self-driving cars are farther along: Waymos are now roaming across five US cities, and Baidu\u2019s Apollo Go vehicles are shuttling riders around in China. AI is also expanding into professional domains like law and finance, but no model dominates the field yet. <\/p>\n
But the way we test AI is broken<\/strong><\/h3>\nThese reports of progress should be taken with a grain of salt. The benchmarks designed to track AI progress are struggling to keep up as models quickly blow past their ceilings, the Stanford report says. Some are poorly constructed\u2014a popular benchmark that tests a model\u2019s math abilities has a 42% error rate. Others can be gamed: when models are trained on benchmark test data, for example, they can learn to score well without getting smarter.\u00a0<\/p>\n
Because AI is rarely used the same way it\u2019s tested, strong benchmark performance doesn\u2019t always translate to real-world performance. And for complex, interactive technologies such as AI agents and robots, benchmarks barely exist yet.\u00a0<\/div>\n<\/p>\nAI companies are also sharing less about how their models are trained, and independent testing sometimes tells a different story from what they report. \u201cA lot of companies are not releasing how their models do in certain benchmarks, particularly the responsible-AI benchmarks,\u201d says Gil. \u201cThe absence of how your model is doing on a benchmark maybe says something.\u201d <\/p>\n
AI is starting to affect jobs<\/strong><\/h3>\nWithin three years of going mainstream, AI is now used by more than half of people around the world, a rate of adoption faster than the personal computer or the internet. An estimated 88% of organizations now use AI, and four in five university students use it. <\/p>\n
It\u2019s early days for deployment, and AI\u2019s impact on jobs is hard to measure. Still, some studies suggest AI is beginning to affect young workers in certain professions. According to a 2025 study by economists at Stanford, employment for software developers aged 22 to 25 has fallen nearly 20% since 2022. The decline might not be pinned on AI alone, as broader macroeconomic conditions could be to blame, but AI appears to be playing a part.<\/p>\n<\/figure>\nEmployers say that hiring may continue to tighten. According to a 2025 survey conducted by McKinsey & Company, a third of organizations expect AI to shrink their workforce in the coming year, particularly in service and supply chain operations and software engineering. AI is boosting productivity by 14% in customer service and 26% in software development, according to research cited by the index, but such gains are not seen in tasks requiring more judgment. Overall, it\u2019s still too early to understand the bigger economic impact of AI. <\/p>\n
People have complicated feelings about AI <\/strong><\/h3>\nAround the world, people feel both optimistic and anxious about AI: 59% of people think that it will provide more benefits than drawbacks, while 52% say that it makes them nervous, according to an Ipsos survey cited in the index. <\/p>\n
Notably, experts and the public see the future of AI very differently, according to a Pew survey. The biggest gap is around the future of work: While 73% of experts think that AI will have a positive impact on how people do their jobs, only 23% of the American public thinks so. Experts are also more optimistic than the public about AI\u2019s impact on education and medical care, but they agree that AI will hurt elections and personal relationships.<\/p>\n<\/figure>\nAmong all countries surveyed, Americans trust their government least to regulate AI appropriately, according to another Ipsos survey. More Americans worry federal AI regulation won\u2019t go far enough than worry it will go too far. <\/p>\n
Governments are struggling to regulate AI<\/strong><\/h3>\nGovernments around the world are struggling to regulate AI, but there were some minor successes last year. The EU AI Act\u2019s first prohibitions, which ban the use of AI in predictive policing and emotion recognition,<\/strong> took effect. Japan, South Korea, and Italy also passed national AI laws. Meanwhile, the US federal government moved toward deregulation, with President Trump issuing an executive order seeking to handcuff states from regulating AI. <\/p>\nDespite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n<\/figure>\nBut for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n
#understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
AI companies are also sharing less about how their models are trained, and independent testing sometimes tells a different story from what they report. \u201cA lot of companies are not releasing how their models do in certain benchmarks, particularly the responsible-AI benchmarks,\u201d says Gil. \u201cThe absence of how your model is doing on a benchmark maybe says something.\u201d <\/p>\n
AI is starting to affect jobs<\/strong><\/h3>\nWithin three years of going mainstream, AI is now used by more than half of people around the world, a rate of adoption faster than the personal computer or the internet. An estimated 88% of organizations now use AI, and four in five university students use it. <\/p>\n
It\u2019s early days for deployment, and AI\u2019s impact on jobs is hard to measure. Still, some studies suggest AI is beginning to affect young workers in certain professions. According to a 2025 study by economists at Stanford, employment for software developers aged 22 to 25 has fallen nearly 20% since 2022. The decline might not be pinned on AI alone, as broader macroeconomic conditions could be to blame, but AI appears to be playing a part.<\/p>\n<\/figure>\nEmployers say that hiring may continue to tighten. According to a 2025 survey conducted by McKinsey & Company, a third of organizations expect AI to shrink their workforce in the coming year, particularly in service and supply chain operations and software engineering. AI is boosting productivity by 14% in customer service and 26% in software development, according to research cited by the index, but such gains are not seen in tasks requiring more judgment. Overall, it\u2019s still too early to understand the bigger economic impact of AI. <\/p>\n
People have complicated feelings about AI <\/strong><\/h3>\nAround the world, people feel both optimistic and anxious about AI: 59% of people think that it will provide more benefits than drawbacks, while 52% say that it makes them nervous, according to an Ipsos survey cited in the index. <\/p>\n
Notably, experts and the public see the future of AI very differently, according to a Pew survey. The biggest gap is around the future of work: While 73% of experts think that AI will have a positive impact on how people do their jobs, only 23% of the American public thinks so. Experts are also more optimistic than the public about AI\u2019s impact on education and medical care, but they agree that AI will hurt elections and personal relationships.<\/p>\n<\/figure>\nAmong all countries surveyed, Americans trust their government least to regulate AI appropriately, according to another Ipsos survey. More Americans worry federal AI regulation won\u2019t go far enough than worry it will go too far. <\/p>\n
Governments are struggling to regulate AI<\/strong><\/h3>\nGovernments around the world are struggling to regulate AI, but there were some minor successes last year. The EU AI Act\u2019s first prohibitions, which ban the use of AI in predictive policing and emotion recognition,<\/strong> took effect. Japan, South Korea, and Italy also passed national AI laws. Meanwhile, the US federal government moved toward deregulation, with President Trump issuing an executive order seeking to handcuff states from regulating AI. <\/p>\nDespite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n<\/figure>\nBut for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n
#understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/figure>\nEmployers say that hiring may continue to tighten. According to a 2025 survey conducted by McKinsey & Company, a third of organizations expect AI to shrink their workforce in the coming year, particularly in service and supply chain operations and software engineering. AI is boosting productivity by 14% in customer service and 26% in software development, according to research cited by the index, but such gains are not seen in tasks requiring more judgment. Overall, it\u2019s still too early to understand the bigger economic impact of AI. <\/p>\n
People have complicated feelings about AI <\/strong><\/h3>\nAround the world, people feel both optimistic and anxious about AI: 59% of people think that it will provide more benefits than drawbacks, while 52% say that it makes them nervous, according to an Ipsos survey cited in the index. <\/p>\n
Notably, experts and the public see the future of AI very differently, according to a Pew survey. The biggest gap is around the future of work: While 73% of experts think that AI will have a positive impact on how people do their jobs, only 23% of the American public thinks so. Experts are also more optimistic than the public about AI\u2019s impact on education and medical care, but they agree that AI will hurt elections and personal relationships.<\/p>\n<\/figure>\nAmong all countries surveyed, Americans trust their government least to regulate AI appropriately, according to another Ipsos survey. More Americans worry federal AI regulation won\u2019t go far enough than worry it will go too far. <\/p>\n
Governments are struggling to regulate AI<\/strong><\/h3>\nGovernments around the world are struggling to regulate AI, but there were some minor successes last year. The EU AI Act\u2019s first prohibitions, which ban the use of AI in predictive policing and emotion recognition,<\/strong> took effect. Japan, South Korea, and Italy also passed national AI laws. Meanwhile, the US federal government moved toward deregulation, with President Trump issuing an executive order seeking to handcuff states from regulating AI. <\/p>\nDespite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n<\/figure>\nBut for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n
#understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/figure>\nAmong all countries surveyed, Americans trust their government least to regulate AI appropriately, according to another Ipsos survey. More Americans worry federal AI regulation won\u2019t go far enough than worry it will go too far. <\/p>\n
Governments are struggling to regulate AI<\/strong><\/h3>\nGovernments around the world are struggling to regulate AI, but there were some minor successes last year. The EU AI Act\u2019s first prohibitions, which ban the use of AI in predictive policing and emotion recognition,<\/strong> took effect. Japan, South Korea, and Italy also passed national AI laws. Meanwhile, the US federal government moved toward deregulation, with President Trump issuing an executive order seeking to handcuff states from regulating AI. <\/p>\nDespite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n<\/figure>\nBut for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n
#understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Despite this federal action, state legislatures in the US passed a record 150 AI-related bills. California enacted landmark legislation, including SB 53, which mandates safety disclosures and whistleblower protections for developers of AI models. New York passed the RAISE Act, requiring AI companies to publish safety protocols and report critical safety incidents.<\/p>\n But for all the legislative activity, Gil says, regulation is running behind the technology because we don\u2019t really understand how it works. \u201cGovernments are cautious to regulate AI because \u2026 we don\u2019t understand many things very well,\u201d she says. \u201cWe don\u2019t have a good handle on those systems.\u201d<\/p>\n #understand #current #state #Check #charts<\/p>\n","protected":false},"excerpt":{"rendered":" If you\u2019re following AI news, you\u2019re probably getting whiplash. AI is a gold rush. AI…<\/p>\n","protected":false},"author":1,"featured_media":6602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[3299,6224,787,6227,1069,1197,4219,6225,937,561,1284,6223,159,3230,6226],"class_list":["post-6601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stories","tag-ai","tag-ai-index","tag-anthropic","tag-charts","tag-chatgpt","tag-check","tag-current","tag-deepseek","tag-gemini","tag-google","tag-openai","tag-stanford","tag-state","tag-understand","tag-xai"],"featured_image_urls":{"full":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"thumbnail":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-150x150.jpg",150,150,true],"medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-300x150.jpg",300,150,true],"medium_large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-768x384.jpg",640,320,true],"large":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",640,320,true],"1536x1536":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"2048x2048":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report.jpg",1200,600,false],"covernews-featured":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-1024x512.jpg",1024,512,true],"covernews-medium":["https:\/\/news678.top\/wp-content\/uploads\/2026\/04\/state-ai-report-540x340.jpg",540,340,true]},"author_info":{"display_name":"admin","author_link":"https:\/\/news678.top\/?author=1"},"category_info":"Stories<\/a>","tag_info":"Stories","comment_count":"0","_links":{"self":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6601"}],"version-history":[{"count":0,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/posts\/6601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=\/wp\/v2\/media\/6602"}],"wp:attachment":[{"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news678.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<\/figure>\n