Tesla has unveiled plans for a $10.1 billion solar manufacturing facility in Texas, providing the clearest indication yet of Elon Musk’s ambition to build a large-scale domestic solar supply chain capable of supporting the company’s growing energy, artificial intelligence, and robotics operations.

The proposed factory, code-named Project Crystal Sun, would be built in Fort Bend County, southwest of Houston, according to a tax-incentive application filed with Texas authorities. Tesla said the facility could begin commercial operations in the first quarter of 2029 and employ more than 9,700 people full-time.

The project has not yet been approved, and Tesla is also considering another U.S. location. The company said the Texas site would be less competitive without the economic incentives it is seeking from state and local authorities.

If the incentives are approved, Tesla expects construction to begin this year and be completed in 2028.

The filing does not specify the plant’s planned production capacity in gigawatts, making it difficult to determine precisely how much of the U.S. solar market Tesla intends to supply. It does, however, offer important details about the depth of the company’s proposed manufacturing operations.

Tesla said the facility would produce “photovoltaic solar cells and/or assembled solar modules” and listed equipment associated with several stages further upstream in the solar manufacturing process.

The project therefore appears to go beyond simply assembling finished solar panels. If developed as described, it could give Tesla greater control over the production of components used in solar generation, potentially reducing reliance on external suppliers. The proposal also provides context for Musk’s increasingly ambitious plans for U.S. solar manufacturing.

Speaking at the World Economic Forum in January, Musk said Tesla and SpaceX were working separately toward manufacturing 100 gigawatts of solar power annually in the United States.

“The SpaceX and Tesla team, both separately, are working to build to 100 GW a year of solar power in the US of manufactured solar power,” Musk said. “That’ll probably take us three years or something.”

The scale of that ambition would be substantial relative to the existing U.S. manufacturing base. The Solar Energy Industries Association reported in August that the country had 74.1 gigawatts of operational solar-module manufacturing capacity, enough to supply about 170% of expected U.S. demand in 2026.

Tesla’s proposed facility could therefore represent a major expansion of domestic manufacturing if the company ultimately builds capacity approaching the scale suggested by Musk.

The solar initiative also fits into Tesla’s broader strategy around electricity and computing. Musk has been positioning solar power as an important source of energy for Tesla’s artificial intelligence and robotics ambitions. The company’s AI operations require substantial computing infrastructure, while the expansion of autonomous systems and robotics could increase demand for electricity across Tesla’s operations.

Tesla said in its second-quarter shareholder presentation in July that site selection, preparation, construction and equipment procurement for solar and semiconductor manufacturing had progressed.

The solar push is also taking place against a broader increase in electricity demand associated with artificial intelligence.

Large technology companies are building power-intensive data centers to support AI models and services. Hyperscalers such as Meta are already developing dedicated energy projects around their data-center operations. In Louisiana, for example, a solar project is being built to help supply power to Meta’s large Hyperion AI data center.

That connection could become important for Tesla if the company seeks to combine its energy business with its AI ambitions. Solar generation, battery storage and other power infrastructure could become strategic assets as technology companies confront constraints on electricity supply.

Tesla’s proposed factory would also deepen the company’s involvement in an energy market that has become necessary to its overall business. Tesla already operates an energy-storage business and sells solar products, but the proposed investment would represent a much larger commitment to manufacturing solar components in the United States.

The scale of the proposed capital investment makes the project’s economics particularly important.

The caveat of the incentive sought by Tesla means the $10.1 billion proposal should not be viewed as a finalized investment. The EV giant must still secure the requested incentives and make a final site decision before the project can proceed.

Still, the application provides a clearer picture of the industrial infrastructure Tesla could build if Musk’s solar ambitions move forward. A factory employing more than 9,700 workers and producing solar cells and modules would represent a major expansion of Tesla’s manufacturing footprint while creating a new link between the company’s automotive, energy and AI strategies.

The proposed facility also shows the AI boom is increasingly extending beyond chips and data centers. As computing demand rises, technology companies face a parallel need for reliable and abundant electricity. Solar generation and energy storage are becoming part of the infrastructure discussion alongside semiconductors, transmission networks, and conventional power plants.

Chinese artificial intelligence startup DeepSeek on Thursday formally released its V4 Pro model, stepping up its efforts to regain momentum in China’s competitive AI market as the company expands its workforce, computing capacity and access to capital.

DeepSeek said its V4-Pro-0813 model delivers major improvements in AI-agent capabilities and is available through its API, app and web platforms. The company also announced higher API prices for both V4 Pro and V4 Flash, alongside a new pricing structure that differentiates between peak and off-peak usage.

The pricing changes mark an important shift for a company whose rapid rise was initially built in part on the ability to offer powerful AI models at relatively low cost. As demand for advanced models increases, DeepSeek is now seeking to balance competitive pricing with the substantial computing expenses required to operate increasingly capable systems.

The V4 Pro launch will be closely watched after DeepSeek’s less expensive V4 Flash model unexpectedly outperformed an April preview of V4 Pro in several independent tests.

That result was notable because the Pro version is intended to be the company’s more capable model. The performance of Flash suggested DeepSeek had made substantial improvements to its underlying technology between the preview and the formal release of V4 Pro.

The latest model also arrives at a critical point for DeepSeek, which has faced growing competition from a rapidly expanding group of Chinese AI developers.

DeepSeek became one of China’s most closely watched AI companies after its R1 reasoning model gained global attention in early 2025. The model triggered a broader debate over whether advanced AI systems could be developed with substantially lower costs and computing requirements than those associated with leading U.S. technology companies.

That early advantage has since come under pressure.

Chinese competitors, including Moonshot AI, Zhipu AI, MiniMax, Alibaba, and ByteDance, have released increasingly capable models, narrowing the technological and commercial gap with DeepSeek.

The competitive environment has also changed the challenge facing DeepSeek. Its initial breakthrough established the company as a major AI player, but maintaining that position requires substantially more resources as model development becomes more expensive and rivals release new systems at a rapid pace.

From AI Breakthrough to Capital-Intensive Business

DeepSeek is now preparing for a major expansion in both funding and infrastructure. Reuters reported in July that the company was planning a fundraising round at a valuation of about $74 billion, just weeks after raising approximately $7.4 billion in its first external financing round in June.

The fundraising represented a significant departure for DeepSeek, which had historically operated with limited reliance on outside capital.

The shift shows how developing frontier models requires access to large quantities of advanced computing hardware, data-center capacity and specialized engineering talent. Even companies that initially distinguish themselves through capital-efficient development must spend heavily to train, deploy and improve models at scale.

DeepSeek’s planned expansion reflects those pressures. The company has said it intends to at least double its workforce across several departments, including teams focused on data centers and AI agents.

The emphasis on AI agents is notable as the industry is increasingly moving beyond chatbots that simply respond to prompts toward systems capable of planning tasks, using software tools and completing multi-step assignments with limited human intervention.

DeepSeek’s decision to highlight agent capabilities in V4 Pro therefore puts the company directly into one of the fastest-developing areas of AI competition.

DeepSeek Explores Its Own AI Chips

The startup is also seeking greater control over the hardware underpinning its AI systems. Reuters reported in July that DeepSeek had stepped up private recruitment of chip-design engineers to develop its own AI processor.

Developing proprietary chips could eventually reduce the company’s dependence on external suppliers, including Nvidia and Huawei, while giving DeepSeek greater control over the hardware needed to train and run its models.

The effort is part of a broader push across China’s technology industry to reduce exposure to foreign semiconductor supply chains. Access to advanced AI chips has become a strategic issue as U.S. export controls restrict the availability of some high-end processors to Chinese companies.

Building competitive AI hardware, however, is considerably more difficult than designing an AI model. It requires semiconductor design expertise, software optimization, manufacturing partnerships, and access to advanced fabrication capacity.

Many believe that if DeepSeek succeeds, its hardware initiative could provide a long-term advantage by allowing the company to optimize computing infrastructure around its own models.

The V4 Pro launch therefore represents more than another model release.

DeepSeek is attempting to move from an AI startup that gained global attention through a technological breakthrough into a larger company capable of sustaining an expensive development and commercialization cycle. Its higher API prices, planned fundraising, workforce expansion, and investment in computing infrastructure all point in the same direction: the company is preparing for a much larger operating footprint.

The challenge is that DeepSeek no longer operates in the relatively open field that existed when R1 first attracted global attention. Chinese competitors are releasing models at a rapid pace, while U.S. companies continue to advance their own systems and expand the capabilities of AI agents.

That makes the performance and adoption of V4 Pro particularly important.

Japan’s wholesale inflation remained elevated in July, with producer prices rising 7.2% from a year earlier, reinforcing expectations that the Bank of Japan could raise interest rates as early as September as higher import costs, metals prices and demand linked to the artificial intelligence boom broaden price pressures.

The producer price index, which measures the prices companies charge one another for goods and services, rose 7.2% in July, slightly below the 7.4% increase economists had expected but only marginally slower than June’s revised 7.3% gain, Bank of Japan data showed on Thursday.

On a monthly basis, producer prices increased 0.1%, following a revised 0.5% rise in June.

The figures provide fresh evidence that inflationary pressure is extending beyond energy and food, complicating the BOJ’s effort to determine whether Japan has achieved the sustained price and wage cycle needed to justify further monetary tightening.

The latest increase was broad-based, with strong demand associated with the AI investment boom contributing to higher prices for industrial materials.

Nonferrous metals prices jumped 40.6% from a year earlier in July, accelerating from a 39.3% increase in June. Chemical product prices rose 12.9%, although that was slower than June’s 15.1% increase.

The figures are seen as an indication that the global investment boom in data centers, semiconductors and other AI infrastructure is feeding into Japan’s producer-price pipeline through stronger demand for industrial materials.

Energy costs remain another significant risk. Renewed tensions in the Middle East have pushed crude oil prices higher, creating the prospect of another increase in input costs for Japanese companies.

“Wholesale inflation is expected to re-accelerate as renewed tension in the Middle East is pushing up crude oil prices, which will push up the cost of energy and other goods,” said Masato Koike, senior economist at Sompo Institute Plus.

Koike also warned that further weakness in the yen could increase import costs and predicted that the BOJ would raise rates in September.

Weak Yen Keeps Pressure on Import Costs

The yen-based import price index rose 29.1% in July from a year earlier, following a 30.1% increase in June. That remains a significant source of concern for policymakers because Japan imports much of its energy and raw materials. A weaker yen increases the local-currency cost of those imports, potentially forcing manufacturers and retailers to pass higher costs on to consumers.

The concern matters for the BOJ because consumer inflation has remained relatively contained in recent months partly because government subsidies have reduced household fuel costs. A sustained rise in wholesale prices could make it harder for those measures to prevent higher input costs from reaching consumers.

Tokyo’s core consumer inflation, considered an early indicator of nationwide price trends, accelerated to 1.9% in July from the previous month, suggesting companies are gradually passing higher costs through to households.

BOJ Faces Growing Pressure to Tighten Policy

The wholesale inflation data come as the BOJ has adopted a more hawkish tone. The central bank left interest rates unchanged at its July meeting but warned that underlying inflation could exceed its 2% target as price pressures build. A summary of opinions from that meeting also showed some policymakers arguing for a faster pace of rate increases.

The BOJ has previously identified elevated wholesale inflation as an important indicator of growing inflation risks that could justify additional rate increases.

Markets are now expecting the central bank to raise its policy rate to 1.25% from 1% at its September 17-18 meeting.

Recent developments in currency markets have added to that expectation. Sources told Reuters that a recent joint Japan-U.S. intervention in the foreign-exchange market, together with comments from U.S. Treasury Secretary Scott Bessent favoring an earlier Japanese rate increase, has strengthened expectations for a September move.

Oil And The Yen Create A Difficult Policy Combination

The BOJ’s challenge is that two external forces could reinforce each other.

Higher oil prices would increase Japan’s import bill, while a weaker yen would make those imports even more expensive in domestic currency terms. Together, they could generate renewed inflation even if domestic demand remains relatively moderate.

That creates a delicate policy choice for the BOJ. Raising rates could help support the yen and contain imported inflation, but tighter monetary conditions could also weigh on household spending and business investment.

The latest producer-price figures nevertheless strengthen the case for further normalization. Wholesale inflation has remained close to its recent peak, while price increases are spreading across metals, chemicals and other industrial inputs.

Analysts believe the key question for policymakers will now be whether those pressures continue to pass through to consumer prices and wages. If they do, the BOJ could have greater justification for raising rates in September and continuing its gradual departure from Japan’s long period of ultra-loose monetary policy.