"Musk Sparked a 'Terafab' AI Computing Power Storm! Want to End the Chip Shortage with the 'Human-Made Chip Miracle'"

When the world's richest person and founder/CEO of Tesla, Inc., Elon Musk, took the stage last Saturday to announce his grand plans to enter the semiconductor manufacturing field, he did not hold back in his praise. Musk's "Terafab" chip manufacturing dream revealed a major reality of the shortage of artificial intelligence chips and capacity crisis. The world's richest person had just announced his ambitious plans to enter the high-end semiconductor manufacturing field last week, calling it the "most epic chip manufacturing project in history," named "Terafab." Musk seems to be trying to turn the "AI chip shortage" into an extraordinary industrial gamble to reshape the semiconductor supply landscape. Musk is not just looking to manufacture higher-performance chips, but to rewrite the landscape of AI chip supply and demand in the era of Siasun Robot & Automation and space data centers with an extraordinary vertical integration. However, the grander the vision for a cross-era level, the more it exposes the harsh reality of the global shortage of advanced semiconductor manufacturing capacity and extremely high manufacturing thresholds. "I have an important announcement to make, this will be the most epic chip manufacturing action in history," he openly declared in front of a small group of people in Austin, Texas. "This will truly take things to the next level, a level that people may not have even imagined yet. We will raise the benchmark parameters several orders of magnitude." No one has ever proposed anything truly similar to Musk's concept of "Terafab." According to the plans that have been publicly disclosed so far, this will be an immensely large project to create the most cutting-edge semiconductor products for artificial intelligence training/inference systems, humanoid Siasun Robot & Automation, and the forefront of space exploration. He not only aims to challenge the world's best chip manufacturers - the semiconductor manufacturing giant Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, known as the "king of global chip outsourcing," but also hopes to achieve this goal with a scale far exceeding the current industry capacity. The scale of this project has left investors stunned. According to analysts at Bernstein, the "Terafab" project will require approximately $5 trillion to $13 trillion in capital expenditure. This funding will be used to build 140 to 360 factories, each producing 50,000 wafers per month, to achieve his ambitious goal of 1 exaflop of comprehensive computing capacity per year. As the richest person in the world so far, Musk has accomplished what others thought impossible - creating a commercially viable high-frequency rocket launch business through SpaceX, bringing electric vehicles into the mainstream market through the leading electric vehicle company Tesla, Inc., and providing internet connectivity infrastructure from space through Starlink. But some doubt whether Musk can really, or even plans to, build all of the "most epic" chip manufacturing actions he outlined in Austin. NVIDIA Corporation CEO Huang Renxun displayed NVIDIA Corporation's unprecedented AI computing infrastructure vision of "unprecedented AI computing revenue super-megatrend" at the GTC conference in the early hours of March 17th, Beijing time. He informed global investors that the strong demand for Blackwell architecture GPU computing power and the upcoming mass production of Vera Rubin architecture AI computing system will drive the AI chip supply far behind the continuous strong demand. The future revenue scale in the field of artificial intelligence chips could reach at least $1 trillion by 2027, far higher than the previously projected $500 billion AI computing infrastructure blueprint by 2026 at the last GTC conference. When model scale, inference chains, and multimodal/agency-based Agentic AI workloads drive computing consumption to expand exponentially, the main capital expenditure strategy of tech giants is more inclined towards AI computing infrastructure. Global investors continue to anchor the "AI bull market narrative" around NVIDIA Corporation, Alphabet Inc. Class C TPU cluster, and AMD's new product iterations and AI computing cluster delivery expectations as one of the most certain prosperity investment narratives in the global stock market, also indicating that investment themes closely related to AI training/inference such as electricity, liquid cooling systems, optical interconnection supply chains, etc., will continue to follow the AI computing leaders like NVIDIA Corporation, AMD, Broadcom Inc., Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, Micron Technology, Inc., and other leaders in AI computing as political uncertainties in the Middle East Geo Group Inc remain, they still rank among the hottest investment camps in the stock market. According to Morgan Stanley, Citigroup, Loop Capital, and Wedbush, the global AI infrastructure investment boom centered on AI computing hardware is far from over, still in its early stages. Under the unprecedented "AI inference end computing power demand storm," driven by continuous to 2030, this round of investment in global overall AI infrastructure is expected to reach a scale of $3 trillion to $4 trillion. Is the spirit not in the wine? "A truly meaningful Terafab, we feel, feels too forced," wrote Bernstein analysts including Stacy Rasgon. The computing power required would be "equivalent to the entire installed semiconductor capacity globally, and in fact, would require several times the currently installed 'associated' semiconductor capacity." Patrick Moorhead, a senior analyst at Moor Insights & Strategy, wrote that the possibility of Musk ultimately not building chip wafer manufacturing facilities is very high. Instead, Musk's goals in announcing Terafab may have another intention: to emphasize the increasingly worsening global chip capacity shortage problem or to motivate chip manufacturers, especially large chip factories in the United States, to accelerate expansion. Alternatively, this could also boost external perceptions of the company's future influence and growth prospects as SpaceX moves towards the largest public offering in history later this year. Silicon Valley is increasingly concerned that the expansion rate of semiconductor chip production in the semiconductor industry is not sufficient to produce the core AI chips needed for ambitious AI business plans. Large-scale cloud computing service providers such as Amazon.com, Inc., Alphabet Inc. Class C's parent company Alphabet, and other large-scale cloud service providers are expected to spend approximately $650 billion to $700 billion this year to expand or build new large AI data center infrastructure. This has already resulted in severe shortages in NVIDIA Corporation's AI chips, TPUs, and a range of self-developed AI ASICs around HBM and eSSD, and has begun to spill over into data center CPUs. NVIDIA Corporation founder and CEO Huang Renxun said he hopes Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR - the chip manufacturing giant that produces almost all of NVIDIA Corporation's advanced semiconductor products, will provide more capacity. However, this global key pillar of chip manufacturing has been cautious in expanding its production capacity. Wei Zhejia, CEO of Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, told Wall Street analysts in an earnings call in October, "We have received very strong signals directly from customers' customers, they are requesting more capacity to support their business closely related to AI computing infrastructure." He said, "We will continue to maintain strict discipline and meticulousness in capacity planning methods to ensure a more robust growth curve for shareholders." Musk explicitly mentioned that Tesla, Inc., xAI, Space Exploration, will need a staggering number of silicon chips in the coming years. He ultimately hopes to serve the AI supercomputer system with 1 exaflop of computing power and produce hundreds of millions of new Optimus AI humanoid Siasun Robot & Automation units every year. He said, "The key missing element is computing power, and he estimates that the current AI output is only about 2% of the scale needed for his company." He emphasized that he had urged key chip suppliers including Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, Samsung Electronics Co., and the US storage chip manufacturer Micron Technology, Inc., to expand production as quickly as possible - and promised to buy almost all of the products they produce immediately. "We will buy all the chips they make; that's exactly what I told them," he said. From NVIDIA Corporation CEO Huang Renxun's recent call to global memory chip manufacturers to produce as much HBM as NVIDIA Corporation buys, to AMD CEO Su Zifeng's plan to ally with Samsung Electronics to massively lock in HBM supply, it clearly highlights the exponential increase in demand for storage chip products, including HBM, DRAM, and NAND, driving Micron, SK Hynix, and Samsung Electronics, the three major storage chip OEM giants, to accelerate production expansion. However, semiconductor manufacturing companies often choose to expand their production capacity at a more restrained pace, far below the strong production capacity levels that Tesla, Inc., SpaceX, and xAI need. "So, either we build Terafab, or we don't have the chips we urgently need," he said. "And we need these chips now." As shown in the figure above, the capital expenditure of large-scale cloud computing manufacturers has soared - in 2026, estimated based on performance indicators (Meta, Alphabet Inc. Class C's parent company Alphabet, Amazon.com, Inc.) and economists' consensus forecast data (aggregated consensus forecast data for Microsoft Corporation). Analysts are skeptical not only because Musk has never manufactured chips before, but also because the essence of Terafab is a departure from the economic logic of the chip industry. Building factories from scratch to meet their own needs was the model when the industry began. However, due to the extremely high cost - the cost of building an advanced factory is about $30 billion, and it may become outdated in just five years - only by producing and selling chips on a massive scale for a long period can prove that the fixed costs of these semiconductor infrastructure types are reasonable. The economic team from Barclays Capital believes that Musk's awareness of the supply shortage risk and its implications for electric vehicles and AI Siasun Robot & Automation, as well as the market ambitions, may mean something, and this judgment itself is logical. The "fantasy" of Terafab faces a harsh reality test According to the analysts from Barclays and Bernstein and other Wall Street financial giants, the most likely path to building Terafab is not for Tesla, Inc. to build a mature advanced process system from scratch, but to accelerate the development of Samsung, Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, and potentially Intel Corporation production capacity through prepayments, capacity lock-ins, shared capital expenditures, or deeper joint development to establish exclusive supply for Tesla/xAI/SpaceX. This deduction is not mere speculation - Tesla, Inc.'s next-generation AI6 chip is currently being pushed by Samsung's 2 nanometer process, with a mass production target set for the second half of 2027; as Musk continues to announce his Terafab ambitions and strengthen the "US chip security" and SpaceX's future capital market storyline, this indicates that Terafab is both a manufacturing strategy and a "pressure signal engineering" for suppliers, Wall Street, Silicon Valley funding institutions, and policy layers. The ambitious vision of Terafab further validates that the shortage of AI computing infrastructure is not short-term noise, but will continue to spill over into a new round of super capital expenditures on logic, storage, advanced packaging, semiconductor equipment, semiconductor core raw materials, US domestic manufacturing, and even space AI computing infrastructure; therefore, for chip manufacturing foundries, HBM/DRAM/eSSD, advanced packaging, semiconductor equipment chains, and some American high-end manufacturing themes, it is a strong mid-term catalyst In summary, the grand vision of Musk's Terafab hits a nerve in the industry because it highlights one of the most urgent concerns facing the industry today: companies and government organizations urgently need to deploy potentially disruptive AI super systems, while high-end semiconductor production capacity is severely lacking. The analysts at Bernstein wrote, "However, as Tesla, Inc.'s many efforts typically present as more than initially thought, this attempt to defy many aspects is unprecedented. Perhaps Elon still has some more extraordinary and imaginative way to improve the current core AI chip, high-performance storage chip, and data center CPUs most core AI computing infrastructure supply that is far from enough. This remains so for readers to think about because we don't know what it will be. The essence of Terafab is not just a regular "Tesla, Inc. expansion" news, but Musk defining the shortage of "AI chips" directly as the core constraint of his next phase of imperial expansion. Musk has made the judgment that the current global chip supply growth speed cannot keep up with his demand curve for Siasun Robot & Automation, autonomous driving, AI training/inference, and space computing data center. From an industrial logic perspective, Tesla, Inc.'s long-term growth narrative is shifting from electric vehicle manufacturing to a "physical AI-level super platform company." Once the growth engine shifts to Robotaxi, Optimus, end-side inference, Siasun Robot & Automation inference and xAI/SpaceX's space training and deployment computing power chains, the bottleneck is no longer primarily batteries and vehicles, but high-end logic chips, advanced packaging, storage, and supply chain security in the GEO Group Inc's political context. Musk has clearly stated that he has urged Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, Samsung, and Micron to expand production as soon as possible, and has even promised "to buy all the chips they make," but global advanced capacity is still tight; meanwhile, Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR has also repeatedly emphasized the need to maintain discipline in capacity planning, while NVIDIA Corporation, Broadcom Inc., and other chip companies have publicly admitted that the incredibly strong demand for AI chips has pushed the key data center infrastructure production capacity of Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR and other chip manufacturers to a bottleneck. In other words, the true DRIVE behind Terafab is that Musk does not want to continue to rely on external foundry capacity rhythms for the next phase of growth. According to analysts at Barclays and Bernstein and other Wall Street financial giants, the most likely way to build Terafab is not for Tesla, Inc. to build a mature advanced process system from scratch, but to accelerate the development of Samsung, Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR, and potentially Intel Corporation production capacity through prepayments, capacity lock-ins, shared capital expenditures, or deeper joint development to establish exclusive supply for Tesla/xAI/SpaceX. This deduction is not mere speculation - Tesla, Inc.'s next-generation AI6 chip is currently being pushed by Samsung's 2 nanometer process, with a mass production target set for the second half of 2027; as Musk continues to announce his Terafab ambitions and strengthen the "US chip security" and SpaceX's future capital market storyline, this indicates that Terafab is both a manufacturing strategy and a "pressure signal engineering" for suppliers, Wall Street, Silicon Valley funding institutions, and policy layers. The grand vision of Terafab further validates that the shortage of AI computing infrastructure is not short-term noise, but will continue to spill over into a new round of super capital expenditures on logic, storage, advanced packaging, semiconductor equipment, semiconductor core raw materials, US domestic manufacturing, and even space AI computing infrastructure; therefore, for chip manufacturing foundries, HBM/DRAM/eSSD, advanced packaging, semiconductor equipment chains, and some American high-end manufacturing themes, it is a strong mid-term catalyst. In conclusion, Musk's grand vision for Terafab is not just a regular tech industry news, but a bold move to address the urgent shortage of high-performance AI chips and completely reshape the landscape of semiconductor manufacturing. It remains to be seen whether Musk's ambitious plan will come to fruition, but it has certainly sparked a conversation about the future of AI chip manufacturing and the potential impact on the global technology industry.