Recent global artificial intelligence (AI) industry developments have been frequent. In October 2026, U.S. President Trump convened an AI luncheon at the White House, inviting tech leaders including OpenAI, Anthropic, Meta, Microsoft, Google, and NVIDIA, with the aim of pushing companies to sign a series of AI safety agreements. However, Apple Chairman Tim Cook and the new CEO, Kevan Turner, were both absent, sparking widespread speculation regarding Apple’s stance on AI policy and its industry partnerships.

Meanwhile, the global technology supply chain continues to make strategic adjustments in response to AI computing demands. TSMC has officially announced the acceleration of its next-generation "A14" process R&D, with trial production in Taiwan expected to begin as early as the first quarter of 2027, highlighting the extreme demand from global chip designers for advanced process capacity.

In terms of financial performance, the strong demand driven by AI infrastructure construction has translated into substantial profits. Micron Technology released its financial report for the fourth quarter and the full year of 2026, showing a gross margin that surged to 86.8%, with both quarterly and annual results hitting record highs. Additionally, the Singaporean investment firm Temasek expressed optimism regarding the continued investment in AI infrastructure by major cloud providers. Jane Atherton, the firm's head of North America, noted that Temasek plans to increase its AI-related investment allocation to 15% over the next five years, reflecting the confidence of large institutional investors in long-term AI returns and industry balance sheets.

HSBC Global Asset Management analyzed that, benefiting from the global AI arms race, the profit growth rate of Taiwanese companies is expected to reach a historic peak of 46%, indicating that the AI industry chain has become a core engine of global economic growth.

Despite the promising industry outlook, there remain differing perspectives and unknown variables regarding AI development. Regarding the AI safety luncheon convened by Trump, the reason for Apple's absence has not been officially explained, which contrasts with the proactive participation of other tech giants in the safety agreements. Furthermore, although Temasek holds a positive view on massive AI spending, some market analysts question whether major cloud providers can maintain such high-intensity capital expenditures in the long term, given the volatility in global bond markets and a high-interest-rate environment where monetary policy may tighten further.

At the same time, adjustments by the International Monetary Fund (IMF) to the global economic outlook, particularly regarding changes in economic growth forecasts for the South American region, will also indirectly affect global capital flows and the macroeconomic layout of the technology industry.

For South America, while the explosion of the global AI industry and the race for advanced processes are primarily concentrated in the tech hubs of the Northern Hemisphere, the resulting global economic growth expectations and capital flows remain closely linked to the South American economy. According to the latest forecasts from the International Monetary Fund (IMF), despite the lucrative profits in the global tech industry, while South America's economic growth estimate was raised for 2025, the forecast for 2026 was downgraded. This shift in the macroeconomic environment means that South American nations must seek a balance between attracting foreign investment and stabilizing their internal economies as they face the global technological transformation.

As the demand for AI infrastructure expands, how to link global computing dividends with regional economic development will be an issue that policymakers in South American countries must continue to monitor.

Currently, there are limitations to how the AI industry is interpreted. Although the progress of TSMC's A14 process provides a clear technical path for the market, the advancement of Moore's Law at physical boundaries still faces significant challenges, and the actual return on investment for the widespread adoption of AI applications still requires time to be verified. Furthermore, the actual execution and regulatory effectiveness of companies after signing AI safety agreements are still in the observation stage; one should not over-interpret the absence of a single meeting or a single company as representing an industry split. All parties should continue to monitor the actual execution of capital expenditures by major cloud providers, as well as the potential crowding-out effect of the global high-interest-rate environment on R&D investment in the tech industry.

Key areas for follow-up observation include: first, Apple's specific response regarding future AI policies and safety agreements; second, whether TSMC's A14 process trial production proceeds as scheduled and its impact on the global chip supply chain; third, whether major cloud providers adjust the scale of their AI capital expenditures in the coming quarters in response to changes in the macroeconomic environment; and fourth, how the South American region adjusts its industrial policies to meet the challenges brought by global technological transformation in the face of expectations of a global economic slowdown.