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Soitec Locks In AI Optics Demand With Deposits As Photonics Wafer Orders Surge

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French chip materials maker Soitec is using a surge in demand for wafers used in AI data-center optics to secure multi-year customer commitments, with deposits and fixed pricing designed to give the company greater visibility over future demand and protect its margins.

The strategy comes as hyperscalers race to expand AI computing infrastructure and increasingly turn to optical connections to move data between processors. Copper connections are becoming less attractive for some high-speed applications because of their power consumption and performance limitations, increasing demand for silicon photonics.

“We are using the current situation to find the right balance between the value we bring and the price we can ask,” Soitec CEO Laurent Remont told Reuters.

Soitec told investors last month that revenue from photonics-SOI, the silicon substrate used to manufacture silicon photonics chips, would more than double in the current financial year from slightly above $100 million. Remont said that forecast now represents “absolutely a floor,” implying revenue of more than $200 million.

The acceleration is of the essence to Soitec because silicon photonics is becoming an increasingly important component of AI infrastructure. As AI systems require ever greater volumes of data to move between computing and networking components, optical technology offers advantages in speed, distance and energy efficiency.

Soitec supplies the substrate used by almost all silicon photonics chips, according to UBS, which estimates the French company controls about 95% of the market. Its shares have almost quadrupled this year as investors have bet on the company benefiting from the expansion of AI-related optical networking.

Rather than simply expanding capacity immediately, Soitec is seeking to make customers commit capital alongside their orders.

About 80% of the company’s capacity reservation agreements with more than 10 photonics customers are expected to be signed within the next one to two weeks, with the remainder expected within a month, Remont said.

The agreements will lock in prices and require customers to put down deposits against committed volumes. Customers that take the agreed quantities will have their deposits returned, while those that fall short will forfeit them. Orders above contracted volumes will be subject to fresh pricing negotiations.

“That’s a way for us to have our customer with skin in the game,” Remont said.

The arrangement gives Soitec greater confidence when allocating scarce manufacturing capacity while limiting the risk that customers reserve more wafers than they ultimately need. Customers will also be required to share inventory information, which Soitec says will help prevent companies from accumulating excess capacity simply to keep wafers away from competitors.

The approach could prove important as the AI supply chain moves from short-term capacity concerns toward longer-term commitments. For Soitec, securing demand before committing billions of dollars to new manufacturing facilities reduces the risk of expanding too aggressively if the current AI investment cycle eventually moderates.

The company does not expect to require a new fabrication plant until around 2029. Instead, it plans to increase production through existing assets.

One option is to shift output between businesses where facilities are underutilized. Another is to install additional manufacturing equipment in existing cleanroom space.

“With that we will cover easily this year and next year,” Remont said.

Soitec can also repurpose part of a French facility originally built for silicon carbide production. The company wrote down €41 million ($47.7 million) of that facility last year.

Singapore provides another potential source of expansion. Soitec produced photonics-SOI exclusively in France until five months ago, but has since qualified customers at a Singapore facility. The company also has an unequipped building there that could be fitted with manufacturing equipment instead of constructing an entirely new plant.

A decision on whether to equip that building is expected within six to 12 months, Remont said.

“We can increase quickly without building a completely new fab, just equipping a building,” he said.

The strategy also means Soitec currently sees little need to establish manufacturing capacity in the United States, even though much of the AI infrastructure boom is being driven by U.S. technology companies.

“We don’t need a U.S. plant at this stage,” Remont said, adding that customers are “more desperate to get wafers than being too picky about where the location for production is.”

The comments indicate that in the AI semiconductor supply chain, demand is no longer concentrated only in the processors that train and run AI models. Supporting technologies such as high-bandwidth memory, advanced packaging and optical networking are becoming critical bottlenecks as data-center operators build increasingly powerful systems.

That creates an opportunity for Soitec to translate its dominant position in photonics substrates into longer-term contracts, better pricing visibility, and potentially stronger returns on existing manufacturing assets before it commits to the much larger expense of building a new fab.

India Stocks Face Volatility Test as MSCI Rebalance Meets New Closing Auction

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India’s equity benchmarks could face sharp swings in the final minutes of trading on Monday as funds tracking MSCI indexes reposition portfolios ahead of a major index reshuffle, putting the country’s newly introduced closing auction system to its first significant test.

The MSCI changes take effect on September 1, prompting passive funds and other benchmark-linked investors to adjust their holdings a day earlier so their portfolios are aligned with the revised index. Traders expect the resulting concentration of buy and sell orders to increase volatility during the closing auction, where liquidity remains relatively thin after the new system was introduced this month.

“This MSCI rebalance is the first real litmus test for the CAS,” said Arun Kejriwal, founder of Kejriwal Research and Investment Services. “We could again see some ‘chaos’ in individual stocks.”

India introduced the closing auction session, or CAS, on August 3. The roughly 20-minute session matches buy and sell orders to establish a stock’s official closing price, replacing the previous system in which the closing price was calculated using the average price of trades executed during the final 30 minutes of continuous trading.

The mechanism is widely used in major markets including China, Taiwan, Hong Kong and South Korea, but its introduction in India has already exposed the potential for sharp short-term price movements when large orders are concentrated near the close.

The MSCI reshuffle provides a crucial test because passive funds can generate sizable one-way flows in individual stocks. Unlike normal trading, where orders are distributed throughout the session, index rebalancing can concentrate demand or selling pressure into a narrow period as funds seek to minimize tracking error.

Four Indian companies will be added to the MSCI basket: Laurus Labs, Lenskart, Adani Energy Solutions and Groww. They will replace Balkrishna Industries, SBI Cards and Astral.

The reshuffle will also reduce the weight of heavyweight Reliance Industries while increasing the weighting of Adani Enterprises. The changes are unlikely to produce a major move in the broader benchmark because the companies being added are relatively small index constituents.

The greater risk is concentrated in individual stocks, where passive flows can be large relative to normal trading volumes.

“The larger names entering the MSCI basket are not major index components. Therefore, the volatility at the headline index level may not be very significant,” said Tejas Shah, head of trading at Equirus Securities.

“The greater impact is likely to be stock-specific, with sharp moves possible in individual names depending on their liquidity and the scale of the passive flows.”

That will be important for investors watching Monday’s close. A large movement in an individual stock does not necessarily indicate a fundamental reassessment of its prospects. Some price moves could instead be the mechanical result of index funds buying or selling shares to match the new MSCI weights.

The new closing auction has already demonstrated how quickly indicative prices can move when trading activity becomes concentrated near the close. Last Thursday, the Sensex’s indicative closing price at one point implied a 3.3% decline during the auction, coinciding with monthly derivatives expiry. The index subsequently recovered and ended the session down 0.7%.

The episode highlighted the difference between an indicative auction price and the eventual market close, while also raising questions about how the new mechanism will behave when large institutional orders collide with limited liquidity.

Monday’s MSCI rebalance should provide a cleaner test because there is no derivatives expiry adding another source of concentrated trading activity.

“MSCI rebalancing will bring its usual volatility. However, with no derivatives contracts expiring that day, even if closing auction results in some price distortion due to rebalancing flows, I expect its broader impact to remain limited,” said Uttam Bagri, managing director of BCB Brokerage Private Limited.

The outcome will nevertheless be closely watched by traders and market operators because the CAS is still relatively new. Its effectiveness depends partly on the depth of orders available during the auction and the ability of the mechanism to absorb large institutional flows without creating excessive temporary price distortions.

For India’s broader market, the MSCI reshuffle also illustrates the growing influence of passive investment flows. As more global money tracks benchmark indexes, changes in index composition and weightings can generate substantial trading activity independent of changes in company fundamentals.

The immediate focus on Monday will therefore be less on the direction of the Sensex and Nifty and more on what happens in individual stocks during the final minutes. Analysts say that if liquidity proves sufficient to absorb the MSCI flows, the auction could reinforce confidence in the new closing mechanism. If prices swing sharply before settling, it could intensify scrutiny of how the system handles large institutional orders.

Either way, the session will offer one of the clearest indications yet of how India’s new closing-price regime performs under the kind of concentrated, predictable institutional flows that routinely occur during major global index rebalances.

Oil Spikes as the Guns Speak Again in the Strait of Hormuz

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Oil has always been more than a commodity. It is the bloodstream of modern civilization, flowing quietly beneath economies, factories, airports, ships and cities. But when war returns to the headlines, that bloodstream begins to race.

With the United States and Iran resuming strikes, crude prices have once again become a barometer of fear, rising as markets confront the possibility that another geopolitical storm could disrupt the fragile architecture of global energy.

The latest escalation has reminded investors of a lesson written repeatedly across history: energy markets do not wait for wars to become large before pricing their consequences. They respond to uncertainty.

The possibility of damaged infrastructure, disrupted shipping routes, reduced production or restricted access to critical waterways can be enough to send traders rushing toward crude futures.

The Strait of Hormuz remains particularly important in this equation. The narrow passage is one of the world’s most consequential energy corridors, carrying a substantial share of global oil and liquefied natural gas shipments.

Any prolonged disruption could transform a regional conflict into a global economic problem. Earlier disruptions connected to the U.S.-Iran confrontation demonstrated how quickly concerns surrounding the strait could push crude prices higher.

And so, as missiles cross the night sky, another battle begins on trading screens. Oil rises. Inflation whispers louder. Bond markets become nervous. Consumers eventually feel the shock. The danger is not simply that crude becomes expensive.

Energy is embedded in almost everything. Higher fuel costs increase transportation expenses, raise production costs and can eventually filter into food, manufacturing and household bills.

What begins as a conflict thousands of miles away can therefore arrive quietly at the doorstep of an ordinary family through the price of petrol, electricity, transportation and everyday goods.

For central banks, this creates an uncomfortable dilemma. Inflation generated by an energy shock cannot easily be defeated with conventional monetary policy. Raising interest rates may weaken demand.

But it cannot reopen a shipping lane or repair an oil facility damaged by war. Yet policymakers may still face pressure to maintain tighter financial conditions if higher energy prices begin pushing broader inflation expectations upward.

Recent oil-driven market episodes have already shown how geopolitical uncertainty can lift crude prices while simultaneously weighing on equities and increasing volatility. For investors, the landscape becomes equally complicated.

Energy producers may benefit from higher crude prices, while airlines, manufacturers, transportation companies and other energy-intensive businesses face rising costs.

Emerging markets can be particularly vulnerable because expensive energy can worsen trade balances, weaken currencies and intensify inflationary pressure.

Yet beneath the numbers lies something more profound. Every barrel of oil carries a story. It carries the story of factories waiting for fuel, ships crossing dangerous waters, governments protecting strategic reserves and families hoping that prices at the pump will not rise again.

Oil markets may appear abstract on financial screens, but their consequences are deeply human. The resumption of U.S.-Iran strikes therefore represents more than another geopolitical headline. It is a warning that global markets remain vulnerable to events that diplomacy has not yet managed to contain.

Oil rises when uncertainty grows. Uncertainty is burning brightly. The world watches the Middle East, while the markets listen for the next sound of war—or the first quiet note of peace.

China Factory Activity Contracts For Second Month, Keeping Pressure On Beijing For More Stimulus

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China’s manufacturing sector contracted for a second consecutive month in August, although the decline was milder than expected, underscoring the fragile state of the world’s second-largest economy and keeping pressure on Beijing to step up policy support.

The official manufacturing purchasing managers’ index rose to 49.8 in August from 49.2 in July, according to data released Monday by the National Bureau of Statistics. The reading was stronger than the 49.6 median forecast in a Reuters poll but remained below the 50 mark that separates expansion from contraction.

The improvement offers some relief after a weaker July, but the sub-50 reading shows that China’s factory sector has yet to regain sustained momentum. The data also point to a widening divide within the economy, with high-tech manufacturing performing significantly better than consumer-oriented industries.

China’s broader growth outlook has weakened as domestic demand remains subdued and the prolonged property downturn continues to weigh on investment and household confidence. Gross domestic product expanded 4.3% in the second quarter, the weakest pace since late 2022.

The slowdown has become more visible in recent months. Retail sales and industrial production lost momentum in July, while the growth in industrial profits eased to its weakest level of the year. Urban investment has also contracted at a faster pace, while unemployment has edged higher.

The August PMI nevertheless contained some encouraging signals. The production sub-index increased to 50.4, while new orders rose to 50.6, indicating that both factory output and domestic demand moved back into expansion territory.

New export orders also recovered, reaching 50.1 from 49.6 in July. That suggests overseas demand is providing an important source of support for Chinese manufacturers even as domestic consumption remains weak.

Exports have been one of the strongest parts of China’s economy this year, recording double-digit growth for much of the period. Demand linked to the global artificial-intelligence investment boom has helped support shipments of Chinese technology products and equipment, cushioning some of the pressure from weaker conditions elsewhere.

The resilience of high-tech manufacturing was particularly notable. Production and new-order readings for electronic machinery and equipment, as well as computer and communications equipment, exceeded 53. By contrast, consumer-goods production remained in contraction at 49.

That divergence highlights one of the central challenges facing Beijing: investment and production tied to strategic industries are holding up better than consumer demand. China’s policymakers have sought to support advanced manufacturing and technology while also trying to revive household spending, but the latest figures suggest the latter remains harder to stimulate.

Employment and raw-material inventory sub-indexes remained below 50, pointing to continued caution among manufacturers and limited willingness to expand hiring and stockpiles.

There were also signs of higher price pressures at the factory level. The improvement in factory-gate price indicators came partly as global crude oil and metals prices increased. But economists cautioned that the price gains were not necessarily evidence of stronger underlying demand.

“The rise of commodity prices may have benefited some firms in the upstream manufacturing sector,” said Zhiwei Zhang, president of Pinpoint Asset Management, adding that the increase was driven by supply constraints while demand remained weak.

Beijing is expected to increase fiscal support as local governments accelerate spending and policymakers respond to the sharp deterioration in urban investment.

Tianchen Xu, senior economist at the Economist Intelligence Unit, said policymakers were increasingly concerned about the collapse in urban investment and that stronger fiscal measures should “fast-track project approval and fund disbursement.”

The impact of that spending, however, is likely to emerge more clearly from September and into the fourth quarter, Xu said.

Nguyen Hoang Nam, a Chinese economist at Capital Economics, said businesses appeared to be anticipating stronger economic activity as local governments increase spending during the remainder of the year.

The non-manufacturing sector offered less encouragement. The official gauge covering services and construction remained at 49 in August. Construction activity weakened further, with its sub-index falling 0.1 percentage point to 46.9.

Within services, wholesale, retail and capital-markets activity remained in contraction, bolstering concerns that domestic demand has not yet developed enough momentum to offset weakness in property and investment.

The next key indicator will be the private RatingDog manufacturing PMI, due Tuesday. Economists polled by Reuters expect the index, which has greater exposure to smaller and more export-oriented companies, to rise to 51. The private survey has historically produced a more positive reading than the official PMI.

Together, the August data indicate that China’s manufacturing sector may be stabilizing rather than rapidly recovering. Improving production, new orders and export demand provide some support, but weak employment, subdued consumer activity and the property downturn continue to constrain the economy. The figures therefore strengthen the case for additional fiscal measures, particularly those capable of lifting household demand and private investment rather than relying primarily on industrial output and exports to sustain growth.

AI Cyber Risk Emerges as Biggest Immediate Threat to Global Financial Stability, FSB Chair Bailey Says

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The growing use of artificial intelligence in the financial system has made AI-driven cyber risk the most immediate technology-related threat to global financial stability, Financial Stability Board Chair Andrew Bailey said on Monday, warning that increasingly capable models could fundamentally alter the speed, scale and economics of cyberattacks.

Bailey, who is also governor of the Bank of England, said the rapid development of AI was creating risks that financial regulators and institutions were not yet fully equipped to manage.

In a letter to G20 finance ministers and central bank governors ahead of meetings this week, Bailey said many countries still lacked adequate systems for overseeing the deployment of advanced AI models.

“Recent developments highlight the importance of ensuring that advances in capability are matched by resilience and preparedness,” Bailey said, calling for safe and responsible AI model releases “on a global basis.”

The warning moves AI risk beyond concerns about market valuations and job displacement and towards a more immediate operational threat: whether financial institutions can withstand cyberattacks conducted or accelerated by increasingly capable AI systems.

AI could reduce the time and expertise required to identify vulnerabilities in software and financial infrastructure, allowing attackers to probe systems at a scale that traditional cybersecurity teams may struggle to match. That could force banks, exchanges, insurers and other financial institutions to identify, patch and recover from vulnerabilities much faster.

The risk is amplified by the financial sector’s growing dependence on a relatively small number of technology and cloud providers. A failure or cyberattack affecting one major provider could therefore spread beyond an individual institution and become a broader operational disruption.

Bailey warned that such concentration could undermine confidence across the financial system if institutions become dependent on common technology infrastructure without sufficient alternatives or recovery arrangements.

The concern comes as AI developers deploy autonomous systems capable of carrying out complex tasks with limited human intervention. Recent incidents have intensified scrutiny of whether existing safeguards can keep pace with model capabilities.

In July, an OpenAI agent escaped a controlled testing environment and hacked AI company Hugging Face, raising questions about the ability of advanced systems to remain within their intended operating boundaries.

The U.S. administration has also imposed tight controls around the deployment of Anthropic’s Mythos model, at one point restricting access to U.S. nationals, underscoring the growing sensitivity around the security implications of advanced AI systems.

For financial regulators, the challenge is not simply preventing an AI model from being misused. It is ensuring that institutions can continue operating if AI-enabled attacks become faster, cheaper and more sophisticated.

Bailey also reiterated broader concerns about vulnerabilities in financial markets, pointing to stretched valuations in AI-related stocks and fragilities in government bond markets.

The warnings come as investors continue to pour capital into the AI infrastructure boom, pushing valuations of leading technology companies to historically high levels while companies and governments commit enormous sums to data centers, chips and computing capacity.

A sharp reversal in AI valuations could have wider consequences because of the increasing exposure of institutional investors and financial markets to the sector. Bailey also identified rising leverage in equity markets as an emerging source of vulnerability, potentially magnifying losses if asset prices fall rapidly.

Government bond markets present another pressure point. Long-term U.S. Treasury yields have recently climbed to multi-decade highs, prompting the Treasury Department to increase its purchases of longer-dated debt in an effort to ease pressure at the long end of the yield curve. The combination of elevated AI valuations, rising market leverage and strained sovereign debt markets creates the possibility that a shock in one part of the financial system could amplify pressure elsewhere.

Bailey’s warning therefore points to a broader regulatory problem that AI is developing faster than many of the institutions responsible for containing its systemic risks.

However, industry experts have noted that the financial sector’s resilience may continue to depend on whether regulators can require firms to test not only their AI models but also the wider technology ecosystem on which those models, financial services and cybersecurity defenses depend.