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Google former CEO Eric Schmidt at Arizona University commencement speech gets booed for statements on AI. The Google ex CEO says its your turn to shape AI but does not say that AI is shaped by a few individuals at corporations such as Microsoft and Google. Pew Research shows majority of students on campuses across the US have serious concerns and are not excited by the way AI has developed. This when Pew has not asked people to comment on how trillions of dollars needed for rebuilding of the dilapidated infrastructure and transportation of the US and for reindustrialization to create jobs after manufacturing was shipped to China by Elites, have through the capital markets been shifted into AI. Even when financial returns cannot come anywhere close to what these investments would do for the American people (and investors) if invested in reindustrialization+ infrastructure. The public knows better, no wonder Google founder Schmidt is booed.

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Tech company VK makes Russia's contribution to the Internet with Max to rival WeChat and Whats App. Max has the backing of the Russian government and is a messaging, ecommerce, all aspect platform. Russia learned over the years that its governmental processes could be subverted by apps from overseas. This is also the experience in India where democratic processes can be subverted by apps from overseas. As a result the idea of one internet is not real, internet not of the world, not of the US, not of India, not of China or Russia, but of one company monopoly of Google with a sub monopolist of Meta with its control of Whats App and social media- clearly unacceptable. 

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Baidu has a 64% share of the Chinese market and it is growing. Google is likely to have more difficulty holding on to its smaller share of the Chinese market.

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WSJ Quiz on data centers- test your knowledge. Does China have the most data centers? No the US with 4000, followed by Britain with 515 and Germany with 500 showing that China is not in the AI craze the way the US is even though the idea of the US falling behind in AI is used to get trillions of dollars in AI funding. This only means infrastructure that is dilapidated and broken in the US will not be replaced, and that the US plan to reindustrialize to get jobs will lack funding as dollars are diverted from these essential and vital needs to AI. Eventually Asian countries with new infrastructure will find ways to get that US technology without having to pay for it. The American public will be paying for this AI craze. We at Lyrarc.com checked how many data centers China has built? The number is 250 data centers are operational and note this in the MIT Technology Review it says 80% of these data centers are not being used, there is 80% overcapacity in China. Because China's AI such as Deep Seek is designed so that it uses less computing power. What this means is that only the US will put over 3 times the combined data centers put in by China, UK and Germany for AI and US will put in 16 times the data centers China has put in. As China only needs or is using 20% of its 250 operational data centers or 50 data centers the US is putting in 80 times the data center capacity China is using in 2026. Why 80 times? Because China has a Plan and it can manage the supply to the need or demand. In the US each company is trying to put so many in so it can get the leadership position in the market. For example Amazon puts in $200 billion instead of the $100 billion it can afford simply to be in the leadership ranks. There is much wasteful spending in the US market system than China's coordinated effort in a new technology even though ideologues like to say the US system is superior, and a plan by the state is frowned upon in the US, costing the US dearly when it lost its entire manufacturing base to China while economists said everything was OK. Even the WSJ Quiz fails to ask the question we asked about China and how many data centers China has actually made operational, how much is overcapacity- 250 datacenters and 80% overcapacity. Showing how little the public knows and even WSJ has looked into, giving a few companies such as Google, Amazon, Apple, Microsoft and others the freedom to spend in a reckless way so that future infrastructure investments and reindustrialization investments will be crowded out in the US economy. And economists as usual will say its OK. ...

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It will take some time for AI software firms (Apple, Amazon, Microsoft and Google)  to generate returns. Yet AI enabling goods, the AI chipmakers (the hardware) made by Taiwan, South Korea and the US's Nvidia are making large profits from the boom in AI investments worldwide. South Korea's Samsung SK Hynix, Taiwan's TSMC and Nvidia in the US are chip makers making huge sales revenue in AI enabling goods- $2.6 trillion for Asian makers including Japan, $1.4 trillion for all US chip makers. This report in the WSJ says whether and when the AI software makers (Google, Microsoft and Amazon)  turn a profit the AI boom is changing the habits of ordinary investors, surging the market capitalization of TSMC, Samsung, SK Hynix and Nvidia, and creating a big surge in stock markets in Asia and a bit smaller by comparison in the US. Total spending in 2026 for worldwide AI services, infrastructure and software was $2.6 trillion in 2026, going up to $3.5 trillion in 2027. The most astonishing aspect of this is how much the AI boom has increased the Asian stock market indexes- TAIEX index of Taiwan which has gone up 55% year to date Jan-June 2026 in value and South Korea's Kospi index which has increased 110% in value. Taiwan's TSMC shares doubled in value. Japan's stock market index Nikkei up year to date Jan-June 2026 32%.  Another aspect of this is that just one company TSMC makes up 42% - market capitalization as a percentage of the overall stock index- of TAIEX Taiwan's stock market index. And just 2 companies Samsung and SK Hynix make up 55% of South Korea's KOSPI Index. By comparison the US S&P up 11% in the same period year to date Jan-June 2026. This report looks at the speculative fever as ordinary investors in the middle and lower income classes in Asia in Taiwan and South Korea from cab drivers, insurance agents, software programmers and elementary school teaches, to high school students with parental sponsored accounts, are all engaged in speculative trading in AI related stocks. What all this means in terms of the cost of living issues, the price of oil and gas with Hormuz and the Memorandum with Iran to open it, the social fabric splintering, the cultural issues splitting electorates in the US and Europe, the migration issues, the issues on world trade is a separate question. It is similar to the railroads and steamship building in the 19th century and the construction of the interstate highway system in the 20th century (in the 1950's in US and in 2000's in China, 2020 in India) different aspects of the Industrial Revolution that overlap with the social and political changes of each period in history. Speculative booms in financial markets accompanied these changes till they returned to a degree of normalcy. It still required regulation, oversight, building the modern institutions of government that improved the economic life of nations and people during the FDR/Truman/Ike  period, and the period after the sixties that shaped the European Union and economic progress in Europe, similar changes in China and India, Brazil. And the many changes now needed in 2026 in the US, and Europe for reindustrialization, and modernization in India, continued development in China. ...

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Kate Conger NYT looks at working for Google in 2007 vs 2025 how tech or software jobs are not exciting anymore. Many of the so called Tech companies -as technology and science is the very basis of life since the year 1700 in UK, Europe and the US and today's "Tech" is a misnomer in that context- have become huge bureaucratic, and unresponsive. Computer coding is not the profession it once was, not even in India as Indian reports show it has also lost it's glamour there. This kind of "Tech" of Google, Apple, and social media was always a cultural fad that made things look cool so that the highest profit margins could be made and justified, ignoring the essential facts about science and technology over 300 years 1700-2000 in the UK, Europe and the US. Since the early scientific observation in the 18th century in UK and Europe science has underpinned our lives, and with the industrial revolution and machines it has covered every aspect of our lives with new inventions and scientists into the 19th, 20th and 21st century. As a cultural fad of the Google /Apple kind it came on the back of the largest deindustrializing of US and Europe in the late 20th and 21st century, and ignored the fact that science and technological application is part of everyday life, the very meaning of the word modern that Japan, China and India has aspired to, to copy the Europeans and Americans, not the prerogative of any corporation.   ...

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Microsoft is calling for governments worldwide to enact regulation of facial recognition technology in 2019 so that it requires independent assessment of accuracy and prevents ongoing surveillance of specific individuals without a court order. Facebook and Google face questions on respect of privacy. Microsoft's president and chief legal officer, Mr. Smith, says delays could "exacerbate social issues" and stated that society is badly served by "a commercial race to the bottom."  Smith cited George Orwell's novel, "1984," in which a government tracks citizen's movements. China is using mass surveillance technologies. Smith says three areas of concern are racial and gender bias, privacy and mass government surveillance. Export of these technologies is also an issue being raised by many people. AI Now co-founders from Microsoft and Google are also raising questions about harmful effects of AI and its use by tech companies without regulation. ...

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The split of the global internet into three with the emergence of a closely monitored internet in China, and Google developing the Dragonfly version to enter China in cooperation with the government. The European Union will have its own version that rivals the U.S. with its own regulations and rules. Each has its large home base. A fourth base is in South Asia where a home grown internet is still to develop. The split will be based on home versions such as Baidu in China and Google, Bing, Safari in the U.S. and the EU version with different rules for privacy and protection. Openness, limits, regulation, government rules and control in home countries, will characterize the patterns in each. This Editorial Board article in NYT says the U.S. version may not end up being the best.

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Walmart with 2000 H1-B visa offers for the first half odf 2025 halts the process in October 2025. Amazon had 10,000 H1-B offers highest number of H1-B visas offers by June 2025, Microsoft, Apple and Google had 4000 such job offers. India makes up 70% of the H1-B visa program and CHina 12%. It hurts the US workforce by bringing in lower paid IT workers to replace higher paid American workers. Bloomberg has adocumentary on the H1-B visa program that highlights abuse of the program that hurts American workers by the Tech companies. It also hurts India by diverting talented engineers needed for India's rapid modernization and creating a culture in which talented engineers in India look outside the country for jobs.

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The European Commission hits Google with a $4.3 billion fine for antitrust violations on the Android operating system used in smartphones.

The company that created Android was founded by Andy Rubin and Rich Milner in 2003, and acquired by Google in 2005 for $50 million. This article gives a timeline for Android's development. The original Android went through modifications after Apple developed a keyboardless smartphone and introduced it in Jan. 2007. The original Android was a keyboard system like that of Blackberry. Google modified the system to come up with its own smartphone in September 2008 made by HTC in China called HTC Dream. Within 2 years in 2010 Android was used in 33 million smartphones surpassing Nokia at 31 million devices. From Jan. 2007 to 2010 in the space of 3 years the Android system changed the world of mobile phones. 

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Paul Mozur of NYT visits the Big Tech conference in Wuzhen, China, attended by large American companies such as Apple, Google. What he finds is very disconcerting, much of the technology can be used to track citizens of any country. Facial recognition technology, artificial intelligence, and other technologies are openly displayed and vendors including Unicom, show how this can be applied to track citizens. He sees the open discussion of how this data can be employed in this way as a sign of how much things have changed- showing how big tech surveillance is now an accepted way of doing things in China.

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Toutiao and the growing mobile segment for news aggregated from thousands of sources for tech, politics, and other local news. Toutiao and Tencent QQ are taking advantage of the growing need for news in China. Toutiao's algorithm targets new internet users in rural areas and small towns who are looking for news and do not need the use of global news sites as is done by Google and Apple. The deep learning of computers is used to study user habits such as learning about the main soccer teams, watching funny videos,as habits of users. Beijing Bytedance Technology has come up with the new site. The highest growth rate is now for news on mobile, growth is 73% year over year far surpassing travel and mobile video, according to QuestMobile.

China restricts use of Google and Facebook News and other sites and favors local content and news sites to give international news, and news about China.

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Over the last 5 years 2021-2025 Americans who are more excited than concerned about AI has dropped from 18% to 10%, and Americans who are more concerned than excited has grown from 37% to 52%, in Pew Research surveys. Showing that self-interested tech companies such as Microsoft and OpenAI, Google are making loud claims for AI that do not reflect the views of the American people as a whole in 2025.

Americans by large margins in Pew Research believe AI will help in day to day tasks from weather forecasting to inventing new medicines. And by large margins of 40% Americans think AI will hurt ability to think creatively and form meaningful relationships and by 20% will hurt for making difficult decisions. This shows Americans -similar to people in China as reported- believe in using AI for ordinary day to day routine tasks, and are wary of AI and aware that AI's usefulness is limited to such routine tasks only.