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Xi proposes global AI governance at APEC summit

Xi proposes global AI governance body at APEC, positioning China as trade alternative to US and promoting green technology circulation

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Xi proposes global AI governance body at APEC, positioning China as trade alternative to US and promoting green technology circulation

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In Short:
– Xi Jinping proposed a global body to govern artificial intelligence at the APEC leaders’ meeting.
– The proposed organisation aims to enhance AI collaboration and benefit international development.
Chinese President Xi Jinping proposed a global body to govern artificial intelligence during the APEC leaders’ meeting, aiming to establish China as an alternative to the United States in trade cooperation.This marked Xi’s first major comments on the initiative announced earlier this year. The United States has so far rejected the idea of regulating AI through international bodies.

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Xi suggested that a World Artificial Intelligence Cooperation Organization could create governance rules and enhance collaboration, framing AI as a “public good for the international community.” He emphasized the importance of AI for future development, stating it should benefit people across all nations.

Chinese officials indicated that the proposed organization could be based in Shanghai, China’s commercial hub. U.S. President Donald Trump attended the summit but left after a meeting with Xi, amidst ongoing tensions regarding trade and technology controls between the two countries.

AI Governance

Analysts expected Xi to leverage the summit to promote China as a leader in multilateral trade and economic development.

California-based Nvidia plays a crucial role in the AI sector, while China-based developer DeepSeek has introduced cost-effective AI models to support Beijing’s goals for algorithmic independence.

Xi called on APEC to facilitate the free circulation of green technologies, reflecting China’s dominance in this sector. APEC members agreed on a joint declaration addressing AI and ageing populations during the summit. The 2026 summit will take place in Shenzhen, a city transformed from a fishing village into a manufacturing powerhouse since the 1980s.

APEC represents 21 nations, accounting for half of global trade.


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Ahron Young is an award winning journalist who has covered major news events around the world. Ahron is the Managing Editor and Founder of TICKER NEWS.

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Big Tech’s record debt fuels AI infrastructure concerns

Big Tech raises over $120 billion in debt to fund AI infrastructure amidst market instability concerns

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Big Tech raises over $120 billion in debt to fund AI infrastructure amidst market instability concerns

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In Short:
– Major U.S. tech firms raised over $120 billion in debt for AI, replacing cash strategies, causing investor concerns.
– Significant bond issuance raised market credit spreads, with fears over debt sustainability and investment returns increasing volatility.
Major U.S. technology companies have raised over $120 billion in debt this year for artificial intelligence infrastructure, shifting from their traditional cash-funded strategies.
The change has generated concerns among investors regarding market stability and expected returns.In September, four prominent hyperscaler companies issued nearly $90 billion in public bonds. Alphabet raised $25 billion, Meta $30 billion, Oracle $18 billion, and Amazon $15 billion in its first U.S. dollar bond sale in three years.

Only Microsoft has avoided borrowing from debt markets recently. Total debt issuance has increased substantially from an average of $28 billion over the past five years.

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The surge in debt has exacerbated U.S. investment-grade credit spread widening from 74 basis points in mid-September to 84 basis points in mid-November. Alphabet and Meta both paid around 10-15 basis points over their existing debt for these new offerings, indicating investor caution. Oracle’s long-term bonds have faced scrutiny, declining by about 8% and trading at 65 cents on the dollar, with some analysts predicting a potential downgrade to junk status.

Market Pressures

AI capital expenditure is expected to hit $600 billion by 2027, up from $200 billion in 2024. Despite significant borrowing, around 80-90% of planned expenditures rely on cash flows. The mounting debt concerns have contributed to market volatility.

Following Nvidia’s earnings report on November 19, stocks initially rallied before a sharp reversal, with the S&P 500 declining 3% this month due to doubts about AI investment returns.


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Amazon engineers heavily impacted by record layoffs

Amazon cuts 1,800 engineering jobs in record layoffs while aiming to innovate faster with leaner workforce

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Amazon cuts 1,800 engineering jobs in record layoffs while aiming to innovate faster with leaner workforce

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In Short:
– Amazon laid off over 1,800 engineers across gaming and advertising as part of a restructuring initiative.
– The company is reallocating resources towards artificial intelligence while further job reductions may occur.
Amazon laid off over 1,800 engineers as part of a record reduction affecting multiple divisions, including gaming and advertising.The company’s recent layoffs, part of a broader trend in the tech sector, saw 40% of job cuts in engineering roles across various states, according to WARN filings.

These reductions occurred amid a restructuring initiative aimed at making Amazon function more like a startup, with CEO Andy Jassy advocating for a leaner workforce and faster decision-making.

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In the wake of these layoffs, Amazon is focusing on shifting resources towards artificial intelligence, which Jassy believes will reshape the company’s workforce. The company stated that although AI is a transformative tool, it was not the primary cause of recent job cuts.

Reports suggest that further job reductions may be forthcoming as Amazon continues to streamline. The job reductions affected multiple levels of software engineers, particularly mid-level staff, as the company cuts costs and reinforces its focus on innovation.

Job Cuts

The layoffs also included significant reductions in Amazon’s gaming division, with a focus on reducing roles tied to major game development projects. This effort reflects a broader strategy to mitigate expenses while reallocating resources towards more profitable ventures within the company.

Amazon’s ad division similarly experienced cuts, with over 140 positions eliminated, illustrating a trend of expansion and contraction within various business units in a changing economic landscape.


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OpenAI releases GPT-5.1 with enhanced conversational features

OpenAI launches GPT-5.1, enhancing ChatGPT with personality controls and improved conversational abilities for paid users

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OpenAI launches GPT-5.1, enhancing ChatGPT with personality controls and improved conversational abilities for paid users

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In Short:
– OpenAI launched GPT-5.1 with two models to improve ChatGPT’s conversation and user control.
– The update, initially for paid users, addresses prior complaints and introduces adaptive reasoning and personality presets.
OpenAI launched GPT-5.1 today, featuring two upgraded models aimed at enhancing ChatGPT’s conversational abilities and providing users better control over its personality.The update started rolling out to paid subscribers on November 12, introducing GPT-5.1 Instant and GPT-5.1 Thinking, both designed to address complaints regarding the original GPT-5 release in August.

GPT-5.1 Instant is said to be “warmer by default and more conversational,” with early testers noting its playfulness while remaining clear and useful.

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The launch follows a backlash from users after GPT-5’s release, who criticized its “colder” tone and the removal of previous models like GPT-4o. OpenAI’s CEO, Sam Altman, admitted that discontinuing GPT-4o “was a mistake” and acknowledged the emotional attachment users had to specific models.

Adaptive Reasoning

GPT-5.1 Instant introduces adaptive reasoning, which helps it determine when to “think before responding” to complex questions.

This leads to marked improvements in mathematical and coding tasks. GPT-5.1 Thinking adjusts processing time based on the task, resulting in clearer explanations and improved ease of use for various tasks.

The new version includes six personality presets, allowing users to tailor interactions. OpenAI aims for the model to integrate cognitive and emotional intelligence effectively.

For now, the rollout is for paid users, with free access occurring soon. Both models will be available via API, and legacy models will remain accessible for three months.


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