South China Morning Post (May 15)
“For years, global businesses have been struggling to navigate rising trade tensions between the United States and China. Now, they are bracing for a daunting new level of complication: an intensifying legal arms race between the two powers” who are “racing to erect rival – and often conflicting – legal and regulatory regimes” and “gain strategic leverage in their ongoing stand-off over a host of trade, technology and security issues.”
Tags: China, Global businesses, Intensifying, Legal arms race, Navigate, Regulatory regimes, Rival, Stand-off, Strategic leverage, Struggling, Technology, Trade tensions, U.S.
Bloomberg (February 13)
“Hong Kong is in the midst of an IPO boom, with first-time share sales coming off a four-year high in 2025 and already off to the busiest-ever start of a year. But the upswing followed a dealmaking trough that lasted several years after a crackdown on the Chinese technology companies that powered a prior wave of transactions. As a result, some banks chose to retrench and experienced bankers often looked for opportunities elsewhere. That’s made the remaining high-level dealmakers hot commodities.”
Tags: 2025, Bankers, China, Crackdown, Dealmakers, Dealmaking, High, Hong Kong, IPO boom, Opportunities, Technology, Transactions, Upswing, Wave
New York Times (February 12)
“European leaders have stepped up their push to reduce reliance on big American tech firms like Amazon, Google and Microsoft for cloud computing, and on financial services titans like Mastercard and Visa for payment systems. The move to secure what are being labeled monetary sovereignty and digital sovereignty is part of a broader effort to reduce Europe’s dependence on American weapons, trade, technology and more.”
Tags: Amazon, Big tech, Cloud computing, Dependence, Digital sovereignty, Europe, Financial services, Google, Mastercard, Microsoft, Monetary sovereignty, Payment systems, Reliance, Technology, Trade, U.S., Visa, Weapons
Financial Times (February 1)
“Fears of an AI jobs apocalypse are growing. At Davos, IMF managing director Kristalina Georgieva said the technology would hit labour markets like a “tsunami.” But much of this is hype or misassigned blame for job losses that really stem from other factors. You shouldn’t “fear the AI ‘jobpocalypse.’ The technology hasn’t yet hit employment notably, and could create more openings.”
Tags: AI, Apocalypse, Davos, Employment, Fears, Hype, Job losses, Labour markets, Misassigned blame, Technology, Tsunami
Wall Street Journal (January 29)
A “deflation doom loop” is “trapping China’s economy.” Despite the nation’s “extraordinary leaps in cutting-edge technology, from artificial intelligence to robotics,” China’s “relentless pursuit of growth through manufacturing has also created a lopsided economy, with much of it stuck in a deflationary spiral. China’s GDP deflator, a broad price gauge, has been negative since 2023, a sign of inadequate demand at home.”
Tags: 2023, AI, China, Deflationary spiral, Doom loop, Economy, GDP deflator, Growth, Lopsided, Manufacturing, Negative, Robotics, Technology
Wall Street Journal (January 22)
“Employees say AI isn’t saving them much time in their daily work so far, and many report feeling overwhelmed by how to incorporate it into their jobs. Companies, meanwhile, are spending vast amounts on artificial intelligence, betting that the technology’s power to speed everything from sales to back-office functions will usher in a new era of efficiency and profit growth.”
Tags: AI, Artificial intelligence, Back-office functions, Daily work, Efficiency, Employees, Jobs, Overwhelmed, Power, Profit growth, Sales, Speed, Technology
New York Times (September 24)
Germany is attempting to woo “Indian workers spooked by U.S. visa changes,” as the European nation confronts a growing labor shortage. “Every fifth citizen…is now older than 67, and the country’s baby boomers…are beginning to retire.” Currently, there are an estimated 387,000 unfilled jobs, mainly in technology, and “that number is expected to more than double in the next two years.” The unfilled jobs also mean “there are not enough young workers making payments into the social system to support it.”
Tags: Baby boomers, Confronts, Germany, Indian, Labor shortage, Payments, Retire, Social system, Spooked, Technology, U.S., Unfilled jobs, Visa changes, Woo, Workers
The Economist (September 20th to 26th)
China’s workforce “has undergone an extraordinary transformation,” diversifying from its base in farming and factories. The world’s largest workforce now includes some 200 million “precarious” gig workers, who provide “a warning for the world.” With technology remaking labor markets, 40% of the labor force in urban areas is now dependent “on some kind of flexible work,” yet many of these gig workers “struggle to buy property and gain access to public services and benefits.” This transformation “will shape China’s economy and society for years to come.”
Tags: 200 million, Benefits, China, Economy, Factories, Farming, Flexible work, Gig workers, Labor markets, Precarious, Property, Public services, Technology, Transformation, Urban, Warning, Workforce
Inside EVs (June 30)
Ford CEO Jim Farley is impressed with China’s electric vehicle industry. Speaking at the Aspen Ideas Summit, he said, “it’s the most humbling thing I’ve ever seen.” He recognizes that EVs in China are far more advanced, “They have far superior in-vehicle technology.” American technology “in most cars amounts to a media player, a navigation system and maybe some smart cruise control. China has pushed the envelope far beyond that.” They also offer a better price and better quality than U.S. cars. “Their cost, their quality of their vehicles is far superior to what I see in the West” said Farley who added, “We are in a global competition with China…. And if we lose this we do not have a future at Ford.”
Tags: Advanced, Aspen Ideas Summit, CEO, China, EV, Farley, Ford, Future, Global competition, Humbling, Impressed, Price, Quality, Technology, U.S.
The Guardian (June 9)
“Apple researchers have found ‘fundamental limitations’ in cutting-edge artificial intelligence models, in a paper raising doubts about the technology industry’s race to develop ever more powerful systems.” The researchers “found that standard AI models outperformed LRMs in low-complexity tasks, while both types of model suffered ‘complete collapse’ with high-complexity tasks.”
Tags: Apple, Complete collapse, Complexity, Cutting edge, Doubts, Fundamental limitations, LRMs, Race, Researchers, Standard AI models Outperformed, Tasks, Technology
