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Global Stocks Rebound to Record Highs as Earnings Optimism Offsets AI Jitters, Iran Diplomatic Hopes Ease Oil Concerns

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European equities hit fresh records while investors look past technology volatility and await key U.S. jobs data for clues on Federal Reserve policy

Global equity markets regained momentum on Thursday, with European stocks climbing to fresh record highs as stronger-than-expected corporate earnings and renewed optimism about artificial intelligence-driven growth outweighed concerns over a volatile technology sector and uncertainty surrounding U.S. monetary policy.

Investor sentiment also received support after reports of a proposed diplomatic arrangement involving Iran and Oman that markets interpreted as a possible step toward easing tensions in the U.S.-Iran conflict, reducing fears of prolonged disruption to global energy supplies.

The rebound followed a cautious overnight session on Wall Street and across Asian markets, where investors took profits in several high-flying semiconductor and AI-related stocks after recent earnings failed to exceed elevated market expectations.

By early European trading, however, risk appetite had returned.

The pan-European STOXX 600 index touched a record high, supported by gains in media and telecommunications shares, before trading 0.4% higher. London’s FTSE 100 rose 0.3%, France’s CAC 40 advanced 0.8%, while Germany’s DAX added 0.1%.

The recovery highlighted investors’ continued willingness to buy into temporary market weakness, particularly as corporate earnings continue to indicate resilient economic activity and sustained investment in artificial intelligence infrastructure.

Hani Redha, multi-asset portfolio manager at MetLife, described the previous session’s weakness as a natural pause following an exceptionally strong rally.

“This is just part of an overall hangover from a tremendous party we’ve had in the market over the last few trading sessions,” Redha said.

“We remain pretty constructive. I don’t expect the pace of returns that we saw over the last few weeks, but we should be still in a market environment which is conducive for risk assets, equities in particular.”

This supports a broader market view that recent volatility is being driven more by positioning and lofty investor expectations than by deterioration in economic or corporate fundamentals.

The latest swings have been particularly pronounced across technology stocks, where soaring valuations have raised the threshold for earnings surprises. Although several AI-linked companies reported results that exceeded Wall Street estimates, investors reacted negatively after the performances failed to surpass the market’s most optimistic forecasts.

Shares of Sandisk, Advanced Micro Devices (AMD) and storage technology company Western Digital all came under pressure after their earnings releases, contributing to weakness across semiconductor stocks.

The pullback spread into Asian markets on Thursday.

Japan’s SoftBank Group fell 4.36%, while semiconductor equipment manufacturer Tokyo Electron dropped more than 5%. Chip testing equipment maker Advantest declined 2.14%, and memory chip producer Kioxia tumbled 8.84%.

South Korea’s technology sector also came under heavy selling pressure. SK Hynix slid 9.71%, Samsung Electronics lost 6.13%, and Seoul Semiconductor fell 4.27%.

Taiwan Semiconductor Manufacturing Co. (TSMC), the world’s largest contract chipmaker, declined 1.46%.

The declines followed a powerful rally the previous day, when many Asian technology stocks posted double-digit gains, underscoring the heightened volatility that has become a defining feature of AI-related equities.

Despite the sharp swings, analysts continue to express confidence in the sector’s longer-term outlook.

J.P. Morgan said in a research note on Wednesday that the recent sell-off had not altered the underlying investment case for artificial intelligence.

While investors have questioned whether technology companies can sustain the current pace of AI spending, the bank said it does not expect major cloud providers to significantly reduce capital expenditure.

“Stepping away from the share price moves, we do not see any fundamental indicators that signal meaningful weakness in the next 6-12 months,” the bank said.

The assessment echoes a growing consensus among analysts that recent declines reflect valuation concerns rather than weakening demand for AI infrastructure. Supporting that view, S&P Global said in a report published on Aug. 5 that global economic growth is increasingly being driven by investment in artificial intelligence and defense.

The report noted that output among manufacturers of technology equipment expanded in July at its fastest pace since May 2021.

“Alongside rising demand for software and related IT services, technology reported the fastest growth for ten months,” S&P Global said.

The findings suggest that demand across the AI supply chain, spanning semiconductors, servers, networking equipment and enterprise software, remains robust despite periodic market corrections.

Meanwhile, geopolitical developments also influenced investor sentiment.

Oil prices retreated below the $80-per-barrel mark after Reuters reported a proposal involving Iran and Oman that could help bring an end to the U.S.-Iran conflict.

Under the reported proposal, Iran would assume control over ships entering the Gulf through the Strait of Hormuz, one of the world’s most strategically important oil shipping routes. The United States did not comment on the proposal, which would represent one of Washington’s most significant concessions to Tehran if implemented.

Although Brent crude later edged 0.3% higher to $79.70 a barrel and U.S. West Texas Intermediate gained 0.2% to $75.37, traders appeared less concerned that geopolitical tensions would trigger another sustained spike in energy prices.

Redha said markets had become increasingly resilient to developments in the Middle East.

“Overall, we’ve been less concerned, I’d say, about what look like negative developments from that region. It is a headwind when oil prices do spike, but we don’t think that they’re going to derail the cycle,” he said.

The moderation in oil prices also eased concerns about inflation, an important consideration for central banks as they weigh future interest-rate decisions.

In bond markets, euro zone government debt traded largely unchanged. Germany’s benchmark 10-year government bond yield was little changed at 3.1118%, while investors prepared for France to auction nearly €13 billion ($15 billion) in government bonds later in the session.

Currency markets were similarly subdued.

The euro slipped less than 0.1% to $1.1540, while the U.S. dollar index edged 0.1% higher to 99.767. The Japanese yen traded at 157.85 per dollar, giving back some of the gains recorded after coordinated intervention by U.S. and Japanese authorities last week.

Investors are now turning their attention to U.S. nonfarm payrolls data due later in the day, one of the most closely watched economic releases for financial markets.

The employment report is expected to provide important clues about the strength of the U.S. labor market and help shape expectations for the Federal Reserve’s next interest-rate decision.

Federal Reserve Bank of San Francisco President Mary Daly said on Wednesday that she fully supported last week’s decision to leave interest rates unchanged, arguing policymakers need additional evidence before determining how to respond to inflation, which remains well above the central bank’s 2% target.

AI Could Help Developing Countries Achieve A Century of Progress in A Decade – World Bank Says

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The World Bank has noted that Artificial intelligence (AI) could enable developing countries to accomplish in just a decade what might otherwise take a century.

According to the World Development Report 2026: The Promise of Artificial Intelligence released by the World Bank Group, it found that jobs in high-income countries are more than three times as likely to be affected by automation from generative AI than those in low- and middle-income countries.

While 14.2% of existing jobs in high-income economies are considered at risk of automation, only 4.5% of jobs in developing economies face similar risks.

At the same time, the report noted that AI has the potential to significantly improve productivity across developing economies. About 16.2% of jobs in these countries could experience meaningful productivity gains through AI adoption, compared with 18.7% in high-income economies.

According to the report, the greatest opportunity for developing countries lies in using AI to enhance human capabilities rather than replace workers.

“AI has thrown developing economies a lifeline, and they should seize it”, said Indermit Gill, Senior Vice President and Chief Economist of the World Bank Group. “They do not need large models or big data centers to reap its benefits. By adapting small, low-cost AI tools to local conditions, they can bring better medical care, education, judicial services and agricultural extension within reach of millions. But they must hurry: AI is spreading faster and is more context-specific than earlier general-purpose technologies like electricity and the internet. World Development Report 2026 shows how developing countries are responding—and succeeding.”

The publication marks the World Bank’s first comprehensive assessment of AI’s impact on developing economies. It found that governments, businesses, and individuals are already deploying AI to solve complex problems, analyze information, improve forecasting, and deliver services more efficiently.

The report highlighted that these capabilities are particularly valuable in countries where shortages of trained professionals, reliable records, and institutional capacity often limit service delivery.

AI can assist healthcare professionals in diagnosing patients, help farmers make better crop decisions, improve business productivity, and enable governments to strengthen tax administration, expand social protection, enhance disaster response, and improve healthcare and education services.

The World Bank also noted that developing economies are currently experiencing their weakest average growth performance in three decades. It stated that AI could provide a significant boost to economic growth before the end of the 2020s while improving outcomes for citizens.

However, the report cautioned that the opportunity is far from guaranteed. It observed that the most advanced AI systems are concentrated among a small number of countries and companies, while many developing nations still lack the electricity, internet infrastructure, computing power, data, skills, and institutional frameworks required to adopt AI effectively.

Without deliberate policy action, AI could widen economic disparities between countries, increase inequality within nations, concentrate market power, weaken public trust, and create new risks related to safety, human rights, and social cohesion.

To address these challenges, the report outlined a three-stage strategy for developing countries: first adopt existing AI tools, then adapt them to local needs, and eventually advance toward developing frontier AI capabilities.

According to the report, this phased approach would help countries avoid costly attempts to replicate advanced AI systems before establishing the necessary foundations.

“The window to get this right is narrow,” said Gaurav Nayyar, Director of the World Development Report 2026. “AI presents a once-in-a-lifetime opportunity to solve problems that have resisted solutions for generations. Developing countries that build the foundations now, power, connectivity, skills, and institutions will be positioned to adopt and adapt AI for their people.”

The report emphasized that investment in basic infrastructure remains essential for AI adoption. In Sub-Saharan Africa, nearly one-third of rural schools still lack reliable electricity, while more than two-thirds do not have dependable internet access.

It noted that closing these infrastructure gaps is already a priority through initiatives such as Mission 300, under which the World Bank Group and its partners aim to provide electricity access to 300 million people across Sub-Saharan Africa by 2030, creating a stronger foundation for digital transformation and AI adoption.

Beyond infrastructure, the report urged countries to expand access to computing resources and improve the availability of locally relevant datasets, including data in indigenous languages, to ensure AI solutions address local needs.

It also encouraged governments to create enabling environments that make it easier for innovative companies to attract investment, test AI solutions, and scale successful projects.

While numerous AI pilot projects are already underway across developing economies, the report stressed that governments must focus on identifying which initiatives produce measurable results.

Peloton Posts First Annual Profit but Forecasts Weaker Sales as Growth Challenges Persist

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Peloton Interactive delivered its first full year of net profit and operating income in fiscal 2026, marking a major turnaround for the connected fitness company after years of losses.

However, the company warned that revenue is expected to decline in fiscal 2027 as it laps previous price increases on its hardware and subscription plans and continues to grapple with slowing equipment demand. The cautious outlook overshadowed stronger-than-expected fourth-quarter results, sending Peloton shares down about 13% in premarket trading as investors focused on the weaker sales forecast rather than the company’s improving profitability.

Chief Executive Officer Peter Stern described fiscal 2026 as a defining year in Peloton’s transformation.

“This was the year where Peloton sort of grew up,” Stern told CNBC in an interview, describing fiscal 2026 as a “landmark” year financially.

“That solid foundation positions us for what we need to do to get to long-term growth to deliver on our strategy of becoming a connected wellness company and puts us in really our strongest position to date.”

For the fiscal year ended June 30, Peloton reported net income of $63.2 million, compared with a $118.9 million loss a year earlier, helped by higher pricing introduced last fall, ongoing cost discipline and operational improvements.

The company also achieved its first full year of positive operating income, highlighting the success of its restructuring efforts after several years of aggressive cost reductions, workforce cuts and operational streamlining aimed at restoring financial stability following the post-pandemic slowdown in demand for home fitness equipment.

Despite reaching profitability, Peloton’s growth story remains incomplete.

The company expects fiscal 2027 revenue to decline nearly 4% to between $2.3 billion and $2.4 billion, below analysts’ expectations of $2.42 billion, according to LSEG. The forecast suggests that while higher pricing has strengthened margins, demand for Peloton’s premium exercise bikes and treadmills remains under pressure as consumers continue to curb discretionary spending in a higher interest-rate environment.

Management nevertheless expects another year of positive free cash flow and forecasts further improvement in gross margin and adjusted EBITDA, indicating profitability should continue even if top-line growth remains subdued.

During the fiscal fourth quarter ended June 30, Peloton delivered mixed results.

Adjusted earnings came in at 13 cents per share, matching analysts’ expectations, while revenue rose modestly to $607.7 million, exceeding the consensus estimate of $598 million compiled by LSEG. Quarterly net income nearly tripled to $61.6 million, or 13 cents per share, from $21.6 million, or 5 cents per share, in the corresponding period last year.

Although revenue edged higher during the quarter, annual sales still declined in fiscal 2026, underscoring the challenge of returning the business to sustained growth after the pandemic-driven boom in demand for connected fitness equipment faded.

Peloton’s strategy has increasingly shifted from simply selling hardware to building a recurring subscription business centered on digital fitness content and member engagement. Investors have been closely watching subscriber trends, as recurring subscription revenue generally provides higher margins and more predictable cash flows than one-time equipment sales.

Stern acknowledged that subscriber growth remains a work in progress but said operating trends are improving.

“We are gradually improving the trajectory of our gross adds and our connected fitness sales while we’re keeping churn flat,” he said.

“We’re not at the stage yet where we turn the net of all those things positive, but we’re getting better and better so that’s basically the story of fiscal year ’27. We’re a work in progress on that one but the trajectory is getting better in ’27 than it’s been in a long time.”

To strengthen member retention and improve engagement, Peloton recently appointed Sarah Robb O’Hagan as Chief Content and Member Development Officer, replacing longtime executive Jen Cotter.

According to Stern, Robb O’Hagan is leading a broad initiative to improve the customer experience throughout the membership journey.

“We’ve kicked off a major project under Sarah focusing on member development. This looks at everything from onboarding through to the experience of live classes,” he said.

He added that the company has also renewed contracts with many of its existing instructors while bringing in new talent to broaden its content offering.

“The other thing that Sarah’s done is at the same time that we’re adding new instructors, she has re-signed contracts with a significant portion of our existing instructors. So we’re continuing to deliver on what our members love about Peloton while also sort of challenging them to broaden their experience.”

Beyond subscriptions, Peloton is seeking new sources of growth through strategic partnerships and expansion into commercial fitness facilities. The company recently announced a partnership with Spotify to integrate music more deeply into its fitness platform and plans to launch its first commercial versions of its Bike and Tread later this year, enabling hotels, health clubs and corporate fitness centers to offer Peloton equipment.

While Stern declined to identify potential commercial partners, he said market interest has been encouraging.

“We’re having lots of conversations, but we’re not actually making sales yet,” he said.

Peloton’s latest results indicate that the company is entering a new phase of its turnaround. The business has largely repaired its balance sheet, restored profitability and generated positive cash flow after years of restructuring. The next challenge is reigniting sustainable revenue growth by expanding its subscriber base, improving member retention and diversifying beyond its traditional direct-to-consumer hardware business.

Institutions Now Dominate Crypto Trading as Market Structure Continues to Mature

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The cryptocurrency market is undergoing one of its most significant structural transformations since Bitcoin first entered the mainstream.

Fresh data from leading crypto market maker Wintermute reveals that institutional investors now account for a record 72% of spot trading volume on its over-the-counter (OTC) desk during the first half of 2026, a sharp increase from 59% recorded during the same period a year earlier.

The figures point to a market increasingly driven by hedge funds, asset managers, proprietary trading firms, and corporate treasuries rather than retail traders.

The shift marks another milestone in crypto’s evolution from a speculative retail playground into an increasingly institutional asset class.

As traditional financial firms deepen their involvement in digital assets, market dynamics are beginning to resemble those of more mature financial markets, with larger participants placing emphasis on liquidity, long-term positioning, and sophisticated risk management strategies.

One of the most noticeable consequences of this institutional dominance has been a decline in market volatility. According to Wintermute’s data, Bitcoin’s realised volatility has fallen from roughly 70% to around 45%, reflecting a more stable trading environment than in previous market cycles.

While Bitcoin remains more volatile than traditional assets such as equities or government bonds, the reduction signals a market becoming less susceptible to panic-driven retail speculation and short-term momentum trading.

This calmer trading environment coincides with the prolonged bear market that has discouraged many retail participants from active trading. Individual investors who fuelled previous crypto rallies have become more cautious after years of price corrections and diminished speculative opportunities.

In contrast, institutional investors continue to accumulate positions, execute larger OTC transactions, and maintain longer investment horizons, helping reduce sudden price swings that once characterised the digital asset market.

Wintermute reported that altcoin options trading volume on its OTC desk increased by 3.4 times compared with the previous year. The surge reflects growing sophistication among professional investors who are increasingly using derivatives to hedge portfolios, manage exposure, and express market views without relying solely on spot purchases.

Options markets are becoming an essential component of institutional crypto trading, allowing firms to implement advanced investment strategies similar to those used across equity, commodities, and foreign exchange markets.

Greater liquidity in derivatives also contributes to healthier price discovery while attracting additional market participants seeking efficient risk management tools. Another area experiencing rapid institutional adoption is tokenised real-world assets.

According to the report, the value of tokenised assets grew by nearly 50% to reach approximately $31 billion during the period. This expanding sector includes tokenised government bonds, private credit, real estate, commodities, and other financial instruments represented on blockchain networks.

The growth of RWAs demonstrates that blockchain technology is increasingly being viewed as financial infrastructure rather than simply a platform for speculative cryptocurrencies. Major financial institutions are exploring tokenisation to improve settlement efficiency, reduce operational costs, and enable around-the-clock trading of traditionally illiquid assets.

Wintermute’s latest figures paint a picture of a crypto market entering a new phase of maturity. Institutional capital is no longer a supplementary force but the primary driver of liquidity, market stability, and product innovation.

While retail investors remain an important part of the ecosystem, their influence on price action has diminished relative to the growing presence of professional market participants. As Wall Street continues to expand its footprint across digital assets, crypto markets are likely to become increasingly integrated with traditional finance.

Lower volatility, deeper derivatives markets, and accelerating tokenisation suggest that the industry’s next chapter may be defined less by speculative hype and more by institutional adoption, infrastructure development, and long-term capital allocation.

Siemens Lifts Full-Year Outlook After Record Industrial Profit As AI Infrastructure Boom Drives Orders

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Siemens raised its full-year earnings guidance on Thursday after reporting a record quarterly industrial profit, as surging global investment in artificial intelligence infrastructure fueled strong demand for its automation software, smart factory technologies and data center equipment.

The German engineering and industrial technology group said the AI investment cycle is becoming an increasingly powerful growth engine, with hyperscale data center operators, semiconductor manufacturers and industrial customers ramping up spending to expand computing capacity and modernize production facilities.

Companies in the global industrial sector supplying the “picks and shovels” of the AI revolution are becoming some of the biggest beneficiaries of an unprecedented wave of capital expenditure by technology firms. While much of the attention has focused on chipmakers such as Nvidia, industrial automation companies including Siemens, ABB and Schneider Electric are increasingly benefiting from the construction of AI data centers, semiconductor fabs, electricity infrastructure and digitally connected factories.

“Our sharp focus on driving industrial AI and our strong positioning in attractive markets give us a solid foundation for our success,” Chief Executive Roland Busch told reporters.

Busch said Siemens’ industrial AI portfolio is helping customers accelerate product development, improve factory productivity and automate increasingly complex manufacturing processes, positioning the company at the center of digital transformation across multiple industries.

He added that demand from electronics and semiconductor manufacturers remains exceptionally strong as companies race to expand production capacity for AI chips and related hardware.

“There is tremendous demand for electronics,” Busch said. “They are building more and more factories and they need to be automated, which is where Siemens’ business comes in.”

The company said it now works with nine of the world’s 10 largest data center operators, highlighting how deeply embedded Siemens has become in the AI infrastructure supply chain. Orders from data center customers have increased by a triple-digit percentage during the first nine months of Siemens’ 2026 financial year, reflecting accelerating investment by hyperscale cloud providers that continue to spend aggressively on AI computing capacity.

Beyond technology, Siemens also reported improving business sentiment among aerospace, defense and machine-building customers, sectors that have seen rising investment as governments increase defense spending and manufacturers continue reshoring production and modernizing industrial facilities.

The company is also benefiting from demand for AI-enabled software that allows manufacturers and building operators to optimize production, reduce energy consumption and improve operational efficiency through predictive maintenance and digital twins.

The results reveal that AI is now reshaping industrial demand well beyond the technology sector. Every new data center requires sophisticated electrical systems, power distribution, industrial automation, cooling equipment and factory automation to manufacture the chips and hardware that power AI models, creating significant opportunities for diversified engineering companies.

For the quarter ended June, Siemens reported industrial profit of €3.52 billion ($4.09 billion), up 25% from a year earlier and comfortably above analysts’ consensus forecast of €3.18 billion.

Revenue increased 7% to €20.79 billion, exceeding expectations of €20.64 billion, while new orders rose 13% to a record €27.90 billion, providing strong visibility into future revenue growth.

The record order intake suggests customers remain willing to commit capital to long-term industrial and digital infrastructure projects despite ongoing geopolitical uncertainty and uneven economic growth across major markets.

Buoyed by the stronger-than-expected performance, Siemens raised its earnings-per-share forecast for the fiscal year ending September to between €11.20 and €11.50, compared with previous guidance of €10.70 to €11.10.

The guidance upgrade reflects management’s growing confidence that demand linked to AI infrastructure and industrial digitization will continue to offset pockets of weakness elsewhere in the manufacturing sector.

Siemens joins Swiss industrial automation group ABB and French energy management specialist Schneider Electric as a principal beneficiary of the global AI investment boom.

According to the International Energy Agency, capital expenditure by the world’s five largest technology companies is expected to rise 75% in 2026 from more than $400 billion in 2025, driven largely by investments in AI data centers, advanced semiconductors, networking equipment and electricity infrastructure.

That spending wave has created a multi-year opportunity for companies supplying the electrical equipment, industrial software, automation systems and digital technologies that underpin AI infrastructure.

Despite the strong results, Siemens shares fell 5.2% in mid-morning trading as investors locked in profits following a sustained rally. Prior to Thursday’s results, the stock had gained nearly 20% this year and reached a record high of €291.50, suggesting much of the earnings strength had already been priced into the shares.

Separately, Siemens said it had reached an agreement with German tax authorities on the treatment of shares in Siemens Healthineers that it plans to distribute to investors as part of its planned spin-off. The company said the distribution will be tax-free for Siemens shareholders.

Siemens has spent the past several years repositioning itself from a traditional industrial conglomerate into a software and automation company focused on digital manufacturing, smart infrastructure and industrial AI. Through platforms such as Siemens Xcelerator and its expanding AI-enabled industrial software portfolio, the company enables manufacturers to design products digitally, automate production lines and optimize operations using real-time data and machine learning.

The emergence of generative AI has significantly expanded that opportunity.