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first_img The Ministry of Economic Affairs of Taiwan confirmed that Taiwanese companies will increase their investment in the United States by 20 billion USD

The Ministry of Economic Affairs of Taiwan has confirmed that Taiwanese companies will invest an additional 20 billion USD in the United States. Minister of Economic Affairs Wang Mei-hua stated that in response to order demands, in addition to the main production bases in Taiwan, capacity will also be increased in the United States, primarily focusing on semiconductor manufacturers, supply chains, and AI server manufacturers.U.S. Secretary of Commerce Gina Raimondo previously stated that Taiwan would announce investments of 20 to 30 billion USD in the U.S. next week. The Ministry of Economic Affairs responded that this investment is the 20 billion USD announced by Wang Mei-hua during the opening of the SEMICON TAIWAN 2026 U.S. Pavilion on the 2nd. Wang Mei-hua pointed out that global orders for AI and semiconductors are booming, and the global president of SEMI has raised the forecast for global semiconductor revenue in 2030 from 1 trillion USD to 2 trillion USD.The Ministry of Economic Affairs' review shows that as of May this year, 20 semiconductor and AI server-related companies have announced investments of 35 billion USD in the United States, with an additional 20 billion USD added in the following months. Future cooperation will also extend to industries such as biotechnology and natural gas.

first_img Delphi Digital: China's AI Laboratory is Transforming Intelligent Economics

Research institution Delphi Digital stated that hardware limitations are driving Chinese laboratories to shift towards cheaper models and more efficient technology stacks. Export control restrictions limit their access to advanced chips, while domestic accelerators can handle inference, but cutting-edge training remains difficult to achieve. Chinese laboratories are innovating in system efficiency, model architecture, training data, and reinforcement learning. DeepSeek has found a way to avoid GPU idle data movement, and ByteDance and Moonshot are set to release similar versions within months.In terms of architecture, training is shifting to cheaper digital formats that are compatible with domestic chips. Sparse architectures reduce the runtime per token, and the attention mechanism has been redesigned three times to control the memory costs of long context. In terms of data, denser prediction targets and better optimizers enhance the learning signal per token. In reinforcement learning, DeepSeek's GRPO has become the default recipe, with ByteDance, Alibaba, and MiniMax each launching successor plans within a year. Chinese models are now among the lowest-cost cutting-edge adjacent systems.On OpenRouter, the proportion of token consumption by Chinese developed models is expected to rise from less than 1.2% at the end of 2024 to the majority by 2026. The Chinese AI market is experiencing a price war from 2024 to early 2026, with several laboratories implying revenue multiples of about 47-117 times, while Anthropic and OpenAI are around 15-21 times. Huawei's Ascend chips are currently available for inference, and DeepSeek reportedly attempted to train R2 on Ascend but returned to NVIDIA after encountering technical issues. Domestic accelerator supply remains below estimated demand.

first_img Musk predicts that AI could drive global economic growth by 20% to 30%

Elon Musk, CEO of Tesla and SpaceX, stated via video link at the G20 summit held in Asheville, North Carolina, on Tuesday that the productivity improvements brought by AI are already evident, and robotics technology will further push productivity to new heights. He predicts that AI could increase the global economy's scale by 20% to 30%, adding approximately $20 trillion to $30 trillion to annual economic output.Musk forecasts that the number of humanoid robots worldwide will reach 1 billion within the next decade, with these robots producing at least five times more than humans. The widespread application of humanoid robots could expand the global economy's scale by more than tenfold. He also predicts that by the end of next year, AI will be able to handle almost all digital tasks that do not involve changing the real physical world, with AI software reaching Stockfish levels, making it impossible for humans to compete in software development. He expects that within 12 to 18 months, AI will excel in all forms of engineering and digital work.As Musk made these remarks, SpaceX is ramping up its investment in AI. SpaceX's AI business generated $2.6 billion in revenue in the second quarter, a year-on-year increase of 247%. The company invested $15.8 billion in AI infrastructure in the second quarter, primarily for the expansion of the Colossus II data center, accounting for about 86% of total capital expenditures. Recently, SpaceX acquired the AI programming platform Cursor for $60 billion and released its latest AI model, Grok 4.6.
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