Driven by surging global demand for AI and high-performance computing (HPC), Taiwanese listed companies achieved record combined profits of NT$3.4 trillion (approx. US$106.5 billion) in the first half of 2026, while their investment returns from China also rebounded. According to market research provider CRIF, Taiwanese listed firms' cumulative investment income from China reached NT$289.95 billion in the first half of 2026, an 11.12% year-over-year increase and an all-time high.

As AI infrastructure increasingly absorbs both capital and management attention across China's technology sector, even profitable businesses are finding themselves vulnerable when they sit outside the strategic core.

Baidu's second-quarter 2026 results confirm a business in the midst of a wrenching handover: an AI-powered core that is scaling faster than almost any other line item at the company, while the total revenue base is still shrinking. Group revenue fell 4% year-on-year to CNY31.3 billion (US$4.63 billion), the fifth straight quarter of annual decline, even as Baidu's AI-powered businesses grew 25% and accounted for half of Baidu General Business revenue for the second consecutive quarter, exceeding legacy-business revenue.

More than half of Taiwanese companies surveyed by TAITRA reported being negatively affected by the US-Iran conflict, with rising costs emerging as the biggest concern as geopolitical tensions disrupt energy, raw material, and supply chain conditions.

Samsung Electronics and SK hynix have amassed a combined KRW278 trillion (approx. US$196.9 billion) in cash equivalents and short-term financial instruments by the end of the second quarter of 2026 as AI-driven memory demand lifted prices, revenue, and profit. The surge has shifted attention from earnings growth to how South Korea's two largest memory chipmakers will deploy their expanding financial firepower.

Niche printed circuit board (PCB) maker EISO Enterprise said that 2026 industry demand has returned to post-pandemic highs as AI applications spread across multiple segments, while chairman Jian Rong-kun said the chance of a market reversal or an AI bubble burst remains low. But since 2025, shortages and price increases in high-frequency, high-speed copper-clad laminate (CCL) have remained a shared operational challenge for PCB makers.

Mobile humanoids became Rainbow Robotics' biggest revenue source in the first half of 2026, while ROBOTIS posted rapid actuator growth and Doosan Robotics expanded its North American automation business, showing how South Korea's physical AI push is beginning to generate sales even as profitability remains uneven across robot makers.

Z.ai has released GLM-5.3, a new AI model that it said delivers major gains in coding and cybersecurity through post-training alone. The Chinese startup also said the model uncovered a potentially serious vulnerability in Cursor, the AI coding company recently acquired by SpaceX.

China's humanoid robot industry is entering a larger real-world test of AI, mobility and performance, with 2,056 robots set to compete in Beijing as domestic makers including Unitree Robotics accelerate development of faster and more capable machines.

Taiwan is looking to Pittsburgh for lessons from Pittsburgh's transformation into an AI and robotics hub as it develops technology clusters in southern Taiwan, with National Science and Technology Council (NSTC) Minister Wu Cheng-wen leading a delegation to the Pennsylvania city on August 13-14.

Data analytics firm Dun & Bradstreet released its "Taiwan Enterprise AI Momentum Index" for the third quarter of 2026, revealing that AI investments by Taiwanese companies are transitioning from experimental pilots to performance validation. However, the data foundation of over half of these enterprises still falls short of the threshold required for large-scale AI deployment. Consequently, data quality, data governance, and overall data readiness will serve as the pivotal focus for expanding future AI applications.

Concerns over whether the AI surge is a bubble continue to linger. However, recent indicators—from Nvidia's latest capital initiatives and TSMC Chairman C.C. Wei's assessment of major cloud service provider (CSP) demand, to record capex from US CSPs and surging orders across downstream players like Asus, Gigabyte, and Supermicro—all demonstrate that AI demand is flowing steadily from upstream silicon to servers and data centers, driving concrete gains in revenue, profits, and backlogs.

Samsung Electronics has begun operating a dedicated physical AI research lab focused on humanoid control and manipulation, according to South Korean news outlet Edaily. The move extends its robotics push from hardware investment into the AI and control technologies needed for robots to operate in real-world environments.

Nvidia has reached a deal with OpenAI to provide up to US$105 billion in credit guarantees for the AI startup's upcoming 8GW data center campus in Ohio. The support will help OpenAI to secure a lease from SB Energy, while Nvidia will be the facility's exclusive chip supplier.

Nvidia has unveiled a US$500 billion artificial intelligence (AI) compute financing plan with six Wall Street giants—Goldman Sachs Group, Blackstone, Apollo Global Management, KKR, BlackRock, and Brookfield—highlighting its push to win new startup customers and the growing complexity of its financing structure. The plan also underscores its strategic split from rival Broadcom and rising concerns over a possible industry bubble.

On February 20, 2026, Canadian AI chip startup Taalas unveiled its HC1 inference chip. Taalas said the chip ran the Llama 3.1 8B model at a single-user inference speed of 16,960 tokens per second, roughly 48 times the inference speed of an Nvidia B200 in the company's testing.

Niche printed circuit board (PCB) manufacturer Eiso Enterprise has officially opened the second-phase expansion of its new plant in Guishan, Taiwan, which is expected to raise the company's overall monthly production capacity to 1.5 times the previous level.

The intensifying US-China technology rivalry is moving beyond export controls and semiconductor restrictions. What comes next could matter more: the formation of competing international AI ecosystems.

As SpaceX accelerates its push into space-based AI data centers and Nvidia brings Jetson GPUs into lunar exploration missions, the race to build computing infrastructure beyond Earth is moving from proof-of-concept experiments toward actual deployment.