Finance Desk

Oil sinks further as Trump and Pezeshkian sign deal to end Iran war

Oil fell sharply in early trading after US President Donald Trump and his Iranian counterpart, Masoud Pezeshkian, put their names to an initial accord to halt hostilities, a move expected to restore the flow of crude through the Strait of Hormuz, one of the world’s most important shipping arteries.


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At the time of writing on Thursday morning, the front-month contract on WTI, the US benchmark, was down by 2.3% to $75 a barrel, while Brent crude, the international gauge, traded 2% lower at around $78 a barrel.

Both remain above the roughly $70 level seen before the conflict, but they have fallen well below the peaks of more than $100 reached only weeks ago.

The deal sets a 60-day window for the two sides to negotiate a final settlement on Iran’s nuclear programme, with Tehran agreeing in the interim to dilute its stockpile of highly enriched uranium.

Crucially for energy markets, it lifts US-backed sanctions, allowing Iran to resume selling its oil freely, and clears the way for tankers to move crude out of the Persian Gulf once more.

US President Donald Trump has said the strait will be fully open by Friday and operate without transit charges, a pledge that has encouraged traders to bet on easing supply pressures.

After signing the memorandum of understanding, Trump stated, “oil down, stocks up”, with hand motions.

An oil market still running on depleted reserves

The optimism arrives against a strained backdrop.

In its June Oil Market Report, the International Energy Agency said strategic oil reserves across advanced economies had slipped to their lowest level since 1990, with government stockpiles in OECD countries down by 163 million barrels since the conflict began as emergency releases accelerated.

The agency also trimmed its outlook for global demand, which it now expects to contract through 2026 as elevated fuel prices and supply disruptions bite, before recovering next year.

It cautioned that any rebound in supply may be gradual, citing the slow clearance of mines and continued disruption to shipping routes even with the interim deal in place.

Flows through the Strait of Hormuz had already begun to recover, rising from a May low to around 12 million barrels a day in early June.

Stocks mixed after the Fed signals possible hikes

Equities offered a patchier picture following Wednesday’s losses on Wall Street, where the S&P 500 fell 1.2% after fresh Fed projections showed nearly half of policymakers expect at least one interest rate hike this year.

The Dow Jones Industrial Average shed 1%, and the Nasdaq Composite slid 1.3%.

In his first press conference as Fed chair, Kevin Warsh declined to forecast where rates would end the year and signalled a rethink of how the central bank communicates, dropping the customary hints about future policy direction from its statement.

US President Donald Trump, who had long pressed Warsh’s predecessor to cut rates, was unusually relaxed about the outcome.

“It’s all right. Whatever,” Trump told reporters in France as he attended the G7 meeting.

Asked about the prospect of a hike, he said it was “hard to believe” but that, with Warsh now in place, he was “guided by what he wants.”

US stock futures pointed higher early on Thursday, with contracts on the S&P 500 up 0.9% and on the Nasdaq Composite around 1.4% higher.

In Asia, Tokyo’s Nikkei 225 and South Korea’s Kospi both jumped 2.3%, helped by hopes for an end to the Iran war and strong demand for technology shares.

European trading was more subdued, with the Euro Stoxx 50 rising 1% but the broader pan-European Stoxx 600 trading flat.

The UK’s FTSE 100, Germany’s DAX 30, Italy’s FTSE MIB, Spain’s IBEX 35, the Netherlands’ AEX, and Switzerland’s CH20 all traded between 0.4% and 0.8% higher than their Wednesday close.

France’s CAC 40 led the pack and jumped roughly 1.3%.

Additional sources • AP

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How Tokenization Could Revolutionize Venezuela’s Oil Economy

A new report suggests tokenized securities offer a low-cost framework to rebuild the country’s oil sector.

Forced by hyperinflation and sanctions to embrace cryptocurrencies long before the rest of the world, Venezuela consistently ranks among the top countries for crypto adoption globally, according to a Chainalysis report.

But one digital assets firm believes that it lays the foundation for something big in the Latin American country.

“[Venezuela] has significant natural-resource assets, a large diaspora, and a population that is already familiar with digital assets and stablecoins due to years of economic volatility,” Jesse Knutson, head of operations at Bitfinex Securities, told Global Finance. “These factors could support adoption if the appropriate legal and regulatory foundations are established.”

Political Winds Shift

Following President Nicolás Maduro’s apprehension by U.S. forces in January, a window may be opening.

According to a June 11 Bitfinex report, high issuance costs, protracted processes, and layers of intermediation are “hampering the green shoots of a recovery” already taking root in Venezuela. And while oil production surpassed one million barrels per day in 2025, its highest level in seven years, the nation remains far short of the 3.1 bpd it produced in the late 1990s. Bridging that gap will require foreign capital at scale.

Knutson said that tokenized securities infrastructure could dramatically lower the cost of attracting investors.

“Tokenization does not overcome those challenges, but it does allow the country to put in place a more efficient system with less friction, allowing the country to attract foreign capital more cheaply and a wider universe of investors to access Venezuela,” he said.

Fortuitous Timing

Years of hyperinflation and economic turmoil drove Venezuelans to adopt cryptocurrencies for payments, savings, and remittances at a rate unmatched elsewhere in the Western Hemisphere.

A UN report using 2021 data showed that around 10.3% of Venezuelans — roughly one in 10 — owned cryptocurrencies. It also warned that cryptocurrencies pose a threat to financial stability.

The Maduro regime, for example, undermined sanctions by leveraging digital assets to facilitate oil transactions. (It’s worth noting that the U.S. alleged “narco terrorism,” not a crypto-oil entanglement, in its indictment.)

Still, a grassroots familiarity with digital assets gives the country an edge, so long as there are “strong institutions, investor protections, disclosure standards, functioning legal systems, and trusted market participants,” Knutson added.

The El Salvador Comparison

Knutson draws a parallel with El Salvador, which defied the International Monetary Fund when it became the first country in the world to make bitcoin legal tender.

Embracing digital assets helped El Salvador attract much-needed foreign investment. “Venezuela could achieve similar success by embracing blockchain technology in a way that provides regulatory clarity to issuers while offering robust investor protections,” Knutson said.

Bitfinex Securities itself operates regulated platforms in both El Salvador and Kazakhstan, with over half a billion dollars in real-world assets — ranging from tokenized treasury bills to community bank debt — currently trading on its platform.

Still, the firm stresses that tokenization’s success hinges on legal certainty, enforceable property rights and investor confidence.

“Those fundamentals remain critical in any jurisdiction,” Knutson said.

Contact the author: anoto@gfmag.com

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Warsh takes the helm: What to watch as the Fed weighs its rate decision

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The era of Chair Warsh begins in earnest this Wednesday, as US President Donald Trump’s pick to run the Fed presides over his debut rate decision and steps before the cameras for his first press conference in the role.


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Few economists anticipate dramatic action on day one, but the meeting carries unusual weight for what it might reveal about the months ahead.

Policymakers are expected to hold the benchmark rate steady at a target range of 3.50% to 3.75%, which would mark the fourth consecutive meeting without a move. The committee cut 25 basis points in December 2025.

The bigger question is the language, with officials potentially revising their post-meeting statement to drop any hint that the next step will be a reduction, signalling instead that rates may stay elevated for some time, or even rise should inflation prove sticky.

Warsh inherits a far less accommodating picture than the one he faced when he was widely seen as campaigning for the job last year.

At that time, he argued forcefully for lower rates, echoing US President Donald Trump’s demands, and pointed to AI as a force that could expand the economy’s productive capacity and tame prices over time.

Many economists doubted that thesis even then, noting that the surge of investment in semiconductors and computing equipment was adding to inflationary pressure rather than easing it.

A changed economic backdrop

Inflation has indeed accelerated since the outbreak of the Iran war in late February, climbing to a three-year high of 4.2%, driven largely by costlier petrol.

US President Donald Trump has announced a framework for a peace deal that could end the conflict, but it is unclear whether the truce will hold, and prices for fuel, groceries and airfares could take months to cool even if Middle Eastern oil flows freely again.

By the Fed’s preferred gauge, inflation has now run above its 2% target for more than five years. Hiring, meanwhile, has remained resilient.

May brought 172,000 new jobs, a third straight month of solid gains, removing much of the rationale for the two rate cuts the Fed had pencilled into its January projections.

Because the rate itself looks settled, attention turns to the Fed’s updated Summary of Economic Projections and its closely watched “dot plot”, the quarterly projection of future interest rates.

According to Bank of America economist Aditya Bhave, the new dot plot could show the Fed keeping rates on hold for the rest of 2026, with at least three of the committee’s 12 voting members potentially pencilling in rate hikes this year.

Communication is the other wildcard. Warsh has argued that the central bank should speak less often and keep a lower profile, on the view that publicly stated positions can trap policymakers into defending them well past their usefulness.

One option would be to thin out the calendar of press conferences, reverting to the every-other-meeting rhythm favoured by Ben Bernanke, who chaired the Fed from 2006 to 2014, when the format was introduced. Leaner guidance, however, risks unsettling markets long accustomed to clear direction.

Adding intrigue, predecessor Jerome Powell remains on the board as a governor, a seat he can hold until January 2028, and is expected to vote on Wednesday’s decision, denying the Trump administration an additional vacancy to fill.

Additional sources • AP

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SpaceX overtakes Amazon to become the world’s fifth most valuable company

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Elon Musk’s space and AI conglomerate ended its third day of public trading worth roughly $2.65 trillion (€2.28tn), having displaced Amazon in the global market-capitalisation rankings.


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The stock settled at $201.8 per share, in a debut week that has rewritten the upper reaches of the world’s equity leaderboard at remarkable speed.

The milestone caps an already extraordinary stretch for the company, which listed on the Nasdaq under the ticker SPCX only last Friday.

SpaceX priced 555.6 million Class A shares at $135 each, raising around $75 billion (€65bn) in what was the largest initial public offering in history, comfortably eclipsing the $29.4 billion (€25.3bn) that Saudi Aramco raised in 2019.

The company also increased the total capital raised to $85.7 billion (€73.8bn) after underwriters exercised the “greenshoe” option to purchase additional shares on Monday due to exceptional demand.

At Tuesday’s close, the stock was trading more than 50% above its IPO price.

During the trading session, share prices climbed as high as $225.6, briefly pushing SpaceX’s valuation above $3 trillion (€2.58tn) and, for a moment, ahead of Microsoft as the world’s fourth most valuable company.

The stock later pared those gains, closing below that threshold, but the intraday spike underscored the intensity of investor appetite for the listing.

Based on Tuesday’s closing prices, only Nvidia ($5tr), Alphabet ($4.5tr), Apple ($4.4tr) and Microsoft ($2.9tr) had larger market capitalisations than SpaceX. Eight of the world’s ten most valuable listed companies are tied to the technology and AI sector, a concentration that has defined markets throughout 2026.

The Cursor deal fuels the surge

Tuesday’s advance coincided with a significant strategic move.

Before the opening bell, SpaceX announced an all-stock agreement to acquire Anysphere, the developer behind the AI coding assistant Cursor, in a deal valuing the startup at $60 billion (€51.7bn).

According to a regulatory filing, a SpaceX subsidiary will merge into Anysphere, leaving Cursor as a wholly owned arm of the group, with completion expected in the third quarter, subject to regulatory approval.

The purchase deepens SpaceX’s push into enterprise AI, a market where rivals such as OpenAI and Anthropic have gained early commercial traction, and it follows the company’s merger with Musk’s xAI venture in February.

The acquisition stems from an option SpaceX secured in April, under which it agreed either to acquire Cursor for $60 billion (€51.7bn) later this year or pay $10 billion (€8.6bn) for a more limited partnership to access its computing technology.

However, despite all the positive news, the speed of the climb has drawn caution.

Sceptics argue that SpaceX remains overvalued, given that it has yet to turn a profit and only 3% to 4% of its total equity is publicly traded.

A fast-track route into major stock indices, which compels passive funds to buy the shares, is expected to further amplify demand for the limited supply of shares in the opening days of trading.

This article does not constitute financial advice, always do your own research and invest according to your specific circumstances.

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CFOs Dream of Value Creation—EY CFO Survey Reality Check

CFOs lag on the AI curve, risking the growth and value creation they want, EY warns.

CFOs are sitting on a goldmine of tech potential—but most aren’t ready to dig in. That’s the major takeaway from a new Ernst & Young survey titled the DNA of the CFO.

Finance chiefs want to make investment decisions and create value. Yet, the majority of these bosses remain constrained by skills gaps, limited AI readiness and outdated measurement frameworks.

The London-based accounting firm sourced responses from more than 1,600 CFOs and senior finance leaders across 28 countries and 22 industries. The consensus shows a widening gap between CFO ambition and actually getting the job done.

“While CFO ambitions are clear, there’s quite a gap when it comes to execution,” Myles Corson, EY Global Strategy and Markets Leader for Financial Accounting Advisory Services, told Global Finance.

Consider the numbers: 60% of CFOs wish to lead on value creation, but only about a quarter currently guide value-creation discussions or make key investment decisions.

Another finding from the EY CFO survey reinforces that disconnect: Only 27% of respondents say their organizations view finance as a key partner in value creation.

“Organizations that treat finance as a key partner have a common trait: their finance functions demonstrate insight beyond the ‘comfort zone’ of financial performance,” Corson said. “They are also more actively involved in decisions—and it’s this that builds their reputation as valuable business partners.”

AI: What Must Change

A majority of respondents (68%) also say the definition of enterprise value needs to change. This reflects frustration with traditional metrics that fail to capture newer sources of growth. Nearly half (49%) say conventional measurement tools cannot adequately reflect value created by technology, data and long-term investments, while half (50%) cite difficulty in demonstrating upfront returns on investment.

The report also points to significant barriers in AI adoption across finance functions. Only 21% of CFOs say their organization’s AI readiness is “leading” or “advanced,” while fewer than 15% describe their teams as highly adaptable or confident using new technologies. Less than half of CFOs see strong AI potential in areas such as data analysis (49%), growth forecasting (45%), and dynamic pricing (41%).

However, confidence rises sharply among those further along the maturity curve: 71% of CFOs who describe their organizations as fully AI-ready say the technology can meaningfully support growth forecasting.

Finance teams continue to face structural hurdles in scaling AI, with 61% citing poor data quality, 51% struggling to articulate AI’s benefits clearly, and 50% reporting insufficient skills or capacity to use the technology fully.

Leadership Challenges

The survey also highlights talent pool challenges within finance organizations. About 38% of CFOs say they are evolving faster than their wider finance leadership teams, and 68% of CFOs say they require new leadership styles and skills to remain effective.

Just 12% of CFOs say their transformation outcomes exceeded expectations. Organizations with highly adaptable teams are three times more likely to achieve successful transformation outcomes, so leaders who foster a culture of adaptability and continuous learning are more likely to drive differentiated outcomes.

“For finance leaders, one of the key questions is: What is the right balance between specialist and generalist roles?” Corson said.

In the current high-tech environment of continuous change, generalists with broad experience are increasingly important.

“Finance leaders need to assess how to consistently develop broader skills, whether through rotations or other structured programs, including the opportunity to develop collaboration skills across functions,” Corson added. “Future finance leaders will need to be more than simply stronger technicians: they will need to demonstrate the skills of a complete enterprise leader—financial discipline, strategic thinking, technological fluency, and the ability to lead change.”

Contact the author: anoto@gfmag.com

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SpaceX’s Cash Management Conundrum | Global Finance Magazine

A $60B tech acquisition marks the aggressive start of SpaceX’s post-IPO capital strategy.

Space Exploration Technologies Corp. — more commonly known as SpaceX — is not letting proceeds from the largest initial public offering in history sit on the launchpad, and piquing the Street’s curiosity on its cash management strategy.

The day after its IPO trades settled, the company, which added approximately $75 billion to its roughly $15.85 billion pre-IPO cash position, announced plans to acquire AI coding company Cursor in a $60 billion all-stock deal that is expected to close in the third quarter, according to a filing with the U.S. Securities and Exchange Commission.

SpaceX first announced it had secured the right to buy Cursor in April but held off due to its upcoming IPO, Bloomberg News reported.

The company did not respond to a request for comment.

The rocket-launch, connectivity, artificial intelligence (AI), and social media company’s IPO placed it in the top 10 U.S.-listed companies by market capitalization, roughly $2.1 trillion. It also placed it fifth among the U.S. companies with the largest cash positions. It trails only behind Berkshire Hathaway Inc. ($397.38 billion), Amazon.com Inc. ($145.97 billion), Alphabet Inc. ($126.84 billion), and Interactive Brokers Group Inc. ($100.39 billion), according to TradingView data. 

Cash Management and IPO Proceeds

The company has not detailed whether it plans to use the newfound capital to fund growth, reduce risk, repay debt, or preserve option value. With a $2.1 trillion market cap and near-guarantee to be included in the marquee stock indices, does it truly matter?

“What SpaceX does with cash and its capital structure are rounding errors in its valuation,” Aswath Damodaran, of New York University’s Stern School of Business, told Global Finance.

However, the treasury still has an important part to play, said John Graham, finance professor at Duke University’s Fuqua School of Business.

“There are examples of companies that grew too fast,” he said. “They were on a positive trajectory with their strategies, but did not manage their cash appropriately and went bankrupt.”

Graham noted that he was not privy to SpaceX’s capital allocation plans, but typically sees two typical uses for IPO proceeds, depending on the company’s maturity.

Startups often use their newfound cash to fuel their drive to profitability while keeping the lights on. Profitable companies tend to use their windfalls to let founders, early investors, and employees cash out a bit.

“Both of those are probably happening in this case, just on a larger scale,” he said.

Neither Fish nor Fowl

Investors can view SpaceX as a mixture of mature and startup business lines. The company’s Starlink satellite-based Internet connectivity unit is currently the only unit generating profits on roughly $11.39 billion in revenue, according to its prospectus.

Whether that, combined with its IPO proceeds, is enough to subsidize its AI and other businesses remains to be seen, and raises a broader question about how SpaceX and the ‘Elon Premium’ will test the market’s logic.

“As things stand today, investors are essentially buying a company whose core business is launching satellites, which remains its largest source of revenue,” said  Ismael García Puente, Deputy Director of Investment Strategy at Spanish investment manager Mapfre AM. “Its technology and AI-related businesses are still operating at a loss. We need to see how these segments evolve before we can assess their long-term profitability.”

Contact the author: rdaly@gfmag.com

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Henderson Land Project Gains First Biodiversity Loan

Hong Kong’s first biodiversity loan backs Henderson Land’s ambitious green waterfront transformation.

Henderson Land Development secured Hong Kong’s first biodiversity loan from HSBC and Hang Seng Bank to develop the city’s quarter-mile-long waterfront property.

The Central Yards project is the company’s flagship mixed-use development on the harborfront in the Central Business District. Although the loan amount remains undisclosed, local reports estimate it at HK$100 million ($12.8 million). 

In mid-May, the two banks said the loan would provide a “scalable blueprint” for companies to achieve their sustainability goals and enhance Hong Kong’s position as a leading international sustainable finance center, helping companies integrate ecological and urban development.

The move aligns with what a growing number of Asia-based businesses want. HSBC’s latest sustainability survey found that 60% of Asian businesses now regard climate transition as a primary strategic focus.

400 Trees, 280 Native Plants

The funding would support smart systems to manage and maintain a newly created urban forest with more than 400 trees and 280 native plant species planted at several sites along the “New Central Harbourfront.” It would also cover surveys, assessments, and monitoring of the project’s urban biodiversity, Henderson said in a mid-May statement, along with HSBC and Hang Seng.

Central Yards boasts more than 300,000 square feet of open green space, including the district’s largest elevated garden, which spans more than 160,000 square feet. The first phase of the project should open in the second half of 2027, with the second phase tentatively scheduled for completion in 2032.

Jane Street Asia will be Central Yards’ anchor tenant. The quantitative trading firm signed a lease in June 2025 for 223,437 square feet in the building at HK$137 per square foot per month (HK$30.6 million per month), excluding fees. The deal ranks among the largest leasing transactions in Central in the decades since Hong Kong’s 1997 Handover and the resumption of mainland Chinese rule over the former British colony. Henderson paid a record-setting HK$50.8 billion for a 50-year land grant to the prime site in 2021.

Vacancy rates for premium Hong Kong office space marginally increased to 13.5% in March, up from 13.4% the month before. 

This article appears in the June 2026 issue of Global Finance Magazine.

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SpaceX buys AI coding startup Cursor for $60bn as AI race with OpenAI and Anthropic intensifies

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SpaceX is pushing deeper into AI with its largest acquisition yet, striking a $60 billion (€51.7bn) all-stock agreement to buy Anysphere, the developer of the AI coding assistant Cursor.


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The purchase, announced on Tuesday, is intended to strengthen SpaceX’s position in the enterprise AI market, where rivals such as OpenAI and Anthropic have found early commercial traction.

Anysphere is a San Francisco startup that uses AI to automate large parts of software development, and its Cursor tool is widely used by programmers.

According to a regulatory filing, the two sides signed a merger agreement under which a SpaceX subsidiary, X67 Inc., will merge into Anysphere, leaving Cursor as a wholly owned subsidiary.

The merger is expected to close in the third quarter of this year, subject to regulatory approval.

The deal lands barely a week after Elon Musk’s company completed a blockbuster listing, and marks an aggressive move beyond rockets and satellites into enterprise AI software.

At the time of writing, SpaceX shares were trading a few cents below $200 in premarket trading, up more than 4% from Monday’s close and roughly 50% higher than its IPO price of $135.

Tuesday’s rally could see SpaceX overtake Amazon by market capitalisation if gains hold through the session.

The acquisition follows an option SpaceX secured in April, when it agreed to either acquire Cursor for $60 billion (€51.7bn) later in the year or pay $10 billion (€8.6bn) for a narrower partnership to provide compute.

Founded in 2022, Cursor has grown quickly, reporting roughly $2.6 billion (€2.2bn) in annualised business-to-business revenue, according to company data shared with Reuters this month.

The firm had previously raised more than $3 billion (€2.5bn) from backers including Nvidia and OpenAI.

SpaceX merged with Musk’s chatbot venture xAI in February, and this new deal could hand xAI a stronger position in AI-assisted coding, an area where it has trailed competitors, while giving Cursor access to far greater computing power.

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Investors look beyond the ‘Magnificent 7’ as Wall Street embraces the ‘FAB 10’

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Wall Street’s most famous market label may be outdated.


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The ‘Magnificent 7’ or ‘Mag 7’ defined the first phase of the AI rally, as it included Nvidia, Apple, Microsoft, Alphabet, Amazon, Meta and Tesla, but a fresh grouping is now circulating among investors keen to capture its next leg.

In the wake of SpaceX’s blockbuster listing, analysts are looking to add Elon Musk’s company, as well as OpenAI and Anthropic, which are expected to IPO later this year, to a new market label.

Coined by the British financial firm Vanda Research, the ‘FAB 10’ stands for Frontier AI & Big Tech 10, and takes the original seven companies from ‘Mag 7’ together with the three new market darlings.

According to Vanda, last Friday’s SpaceX IPO offered the clearest signal yet that attention is widening beyond the ‘Magnificent 7’.

After Monday’s close above $192 per share, Elon Musk’s space and AI firm is now the sixth most valuable company in the world by market capitalisation.

What the new label captures

The term ‘Magnificent 7’ was coined in late 2023 by Michael Hartnett, who wanted a single term for the megacap stocks powering the market to records.

Their combined value now sits at roughly $22.6 trillion (€19.5tn), with Nvidia alone worth more than $5 trillion (€4.33tn) as the most valuable company in the world by market capitalisation.

The three newcomers represent a different flavour of the same AI boom.

SpaceX brings aerospace and satellite connectivity through its Starlink unit, while OpenAI and Anthropic are among the leading developers of frontier AI models.

According to Vanda, the ten companies collectively map the direction of the AI and technology sectors over the coming decade.

However, a wrinkle in the label is that two of the additions are not yet listed.

OpenAI and Anthropic remain private, though both have filed to approach public markets this year, potentially at valuations surpassing $1 trillion (€861bn) and making the ‘FAB 10’ as much a shorthand as a tradable basket.

The ‘FAB 10’ is also not the only contender.

Bank of America has floated an ‘AI Big 10’ that instead adds the chipmakers Broadcom, Advanced Micro Devices (AMD) and Micron, reflecting the semiconductor rally.

Others have suggested smaller clusters, such as the rival ‘MANGOS’ label, which has surfaced and includes Meta, Anthropic, Nvidia, Google (Alphabet), OpenAI and SpaceX.

Strategists caution that none of the names signals the demise of the ‘Magnificent 7’, which still accounts for roughly a third of the S&P 500 index. Investors are not abandoning the originals but simply broadening the definition of who leads the AI era.

As Vanda frames it, the next decade’s winners may simply need a bigger tent.

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Nvidia raises over €21.5bn in first bond sale since 2021 as AI growth race continues

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The world’s most valuable company, the chipmaker Nvidia, priced a $25 billion (€21.5bn) bond offering on Monday, marking its first issuance since 2021 and one of the largest by a technology company this year.


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The deal was originally pencilled in at around $20 billion (€17.2bn) but was enlarged after demand ran more than three times the size of the bond, according to a person familiar with the matter cited by Bloomberg.

Investor appetite was the headline of the sale.

Orders reached as high as $85 billion (€73.2bn), allowing Nvidia to upsize the transaction and tighten its borrowing costs in the process.

The timing was also favourable.

The announcement of a US-Iran framework deal to end the conflict in the Middle East steadied credit markets, pushing investment-grade spreads to their narrowest levels since early February, before the Iran war began.

That backdrop helped Nvidia lock in relatively cheap long-term financing.

According to Bloomberg Intelligence analyst Robert Schiffman, inexpensive long-dated debt lowers Nvidia’s weighted average cost of capital and helps bankroll its AI investments without threatening its AA credit rating.

A company spokesperson stated that the proceeds would be used for general corporate purposes, including repaying and refinancing existing notes.

Nvidia last tapped the investment-grade market in June 2021, when it sold $5 billion (€4.3bn) of notes across four maturities, according to a regulatory filing.

The contrast in scale underscores how quickly its financing needs have grown alongside the data centre build-out and increased demand from hyperscalers.

A wider borrowing frenzy

Nvidia joins a queue of technology giants raising vast sums to fund AI infrastructure.

Meta and Oracle have each issued $25 billion (€21.5bn) in bonds this year, while Amazon completed a single $37 billion (€31.8bn) deal, the largest US investment-grade offering of this year before Nvidia’s issuance on Monday.

For Nvidia, the raise also keeps share dilution off the table, giving it greater flexibility as capital commitments mount. The firm has invested $5 billion (€4.3bn) in Intel, pledged up to $10 billion (€8.6bn) to Anthropic and contributed $30 billion (€25.8bn) to OpenAI’s latest funding round.

Nvidia shares closed up 3.5% at $212.45 after the deal, valuing the company at about $5.14 trillion (€4.42tn).

On the other hand, Alphabet, Google’s parent company, opted for equity instead, pricing an upsized $84.75 billion (€73bn) capital raise earlier this month, after originally seeking around $80 billion (€68.9bn), according to a company filing.

The transaction, which includes a $10 billion (€8.6bn) private placement from Berkshire Hathaway, ranks as the largest equity capital raise on record and is intended to fund the group’s AI compute expansion.

Management has guided 2026 capital expenditure to between $180 billion (€155.1bn) and $190 billion (€163.7bn).

However, the equity move came on top of an already heavy borrowing run. According to its own filing, Alphabet raised more than $85 billion (€73.2bn) of debt across six major currencies and markets in the first quarter of 2026, taking its total debt balance above $100 billion (€86.1bn).

That included a US dollar bond round early in the year, leaving Google relying on both debt and equity financing to bankroll its AI ambitions.

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Bank of Japan raises its key interest rate to a three-decade high

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The central bank’s increase in the uncollateralised overnight rate, by a quarter of a percentage point from 0.75%, puts it at a three-decade high.


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The Bank of Japan has been trying to normalise monetary policy lately after decades of keeping interest rates near or below zero. It adopted ultralow rates to try to encourage more borrowing and spending to counter deflation and pull the economy out of the doldrums.

Inflationary pressures because of the war in Iran, which has sent oil prices soaring in recent months, have hit Japan hard since it imports almost all its oil and gas.

Low interest rates had added to pressures on the Japanese yen, which has fallen lately to about 160 yen to the US dollar.

BOJ Gov. Kazuo Ueda, who has been hospitalised recently, did not attend Tuesday’s policy board meeting. Deputy Gov. Shinichi Uchida was expected to take his place at the news conference set for later in the day.

Before the BOJ decision, Tokyo’s benchmark Nikkei 225 index briefly topped 70,000 early Tuesday before giving up some of those early gains.

Additional sources • AP

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Labs Rethink Banking: Best Financial Innovation Labs 2026

Labs are rethinking banking, as AI remains king, but human insight directs banking improvements.

So, the robot banker remains a long way off. But S&P Global estimates that up to 59% of financial institutions worldwide were actively using artificial intelligence in 2025. Beyond simply relying on technology for research (“Summarize new anti-money laundering mandates for me”), financial institutions have begun operationalizing AI processes.

This is a significant advancement. Instead of using AI like an intelligent chatbot, banks now direct systems to perform complex, multi-step tasks—saving untold human hours while both speeding up and improving operations.

How does this newer type of AI (called “agentic AI”) work?

Consider loan processing as an example. Someone applies for a loan. AI agents retrieve credit reports, verify income, calculate debt-to-income ratios, apply underwriting rules, approve or reject applications (or forward them to a human underwriter for approval), and generate documentation. In compliance monitoring, agents can read regulatory texts, map new mandates to internal policies and processes, identify where the financial institution (FI) falls short, generate remediation tasks, and track progress.

For proof of the increased operationalization of AI, look at some of the innovations germinated in the world’s best fintech labs, incubators, and accelerators.

At inovabra, a lab hosted by Banco Bradesco, innovators have developed an AI product that can generate initial drafts of legal pleadings. The Bank of Georgia’s AI Research Lab has launched Software Developer: Powered by Code2Doc.

This software can write other software. And Garanti BBVA Partners has nurtured Skymod, an AI-orchestration platform that enables financial institutions to securely delegate operational workflows to intelligent AI agents.

Knowing When AI Isn’t The Answer

Then there’s TD Lab. TD Lab is now experimenting with Physical AI, or AI-embedded machines (think robots, drones, and smart devices) capable of interacting with the physical world.

“Physical AI is about convergence,” said Chris Halabecki, senior manager and lab leader. “It’s about combining AI with objects that can sense or maneuver through the real world. As a lab team, we’re exploring how we can use physical AI to integrate more intelligence into everyday scenarios to better serve our colleagues and clients today and in the future.”

The lab has already developed proprietary software for a quadruped (robotic dog) device. Using LiDAR (Light Detection and Ranging), which is a sensing technology that uses pulsed laser light to measure distances, and AI together, the quadruped can detect and learn about objects in the surrounding area, then follow commands linked to those objects. Halabecki provided examples such as “Walk to the white couch” and “Go find Evan.”

Future use cases for these technologies may include robots that can count, sort, and verify cash.

One day, robotic relationship managers may recognize when a customer walks into a branch and guide them in making investment decisions. In the field, physical AI may be able to conduct home appraisals and complete other tasks.

With the much-ballyhooed capabilities of artificial intelligence, it’s a little surprising to hear Kadry Boutaina, chief of innovation for the digital transformation lab of Morocco’s Attijariwafa bank, say, “Sometimes, the answer is not AI.”

That doesn’t mean the lab, called Wenov, isn’t driving technological advancements. It works with external startups to offer “more and more digital services for our customers — both retail and business.” Boutaina notes that Attijariwafa faces significant competition in this field, from both established banks and newcomers — notably neobanks entering the Moroccan and broader West African markets.

But providing digital services does not always entail a wholesale AI revolution.

When Banks Let Employees Innovate

The Moroccan Ministry of Economy and Finance recently formalized laws governing crowdfunding in the country. The first regulated platform of this kind is being provided by Kiwi Collecte, a fintech company. Under Moroccan law, Kiwi Collecte may not directly hold or move funds. It must partner with a licensed Moroccan bank for those tasks. A partnership with Attijariwafa empowers the bank to hold and safeguard funds, process payments, and disburse money to beneficiaries.

Fraud prevention is ever important. Sandbox CAIXA has found an old-school way to fight it. Sandbox CAIXA is the innovation lab of Caixa Econômica Federal, a major state-owned bank in Brazil. Lucas Zaccaro, Sandbox CAIXA manager, said that in his country, technologically unsophisticated people are often victimized by scammers. When the bank is closed, thieves stand near ATMs. They then offer to help patrons who are unsure how to use the machines. These criminals “help” by tricking users into revealing their PINs, then stealing their cards.

A “really great idea” from a rank-and-file Caixa employee led the bank to broadcast recorded messages at 10 of these ATMs, warning patrons about the scam. Theft at those banks has stopped.

Zaccaro says that this fraud-prevention idea was submitted through an established process designed to encourage rank-and-file employees to submit innovative ideas. Employees use Microsoft Copilot to refine their concepts and submit them to Sandbox CAIXA for review and potential testing. The lab will now assess the feasibility of rolling out its scam warning across the ATM network—potentially using cameras to detect when people are at the ATM and triggering automated messages.

At the Banking and Financial Institutions Association of Colombia (Asobancaria), the focus is less on rapidly advancing technologies and more on meeting existing societal needs. One development from the Asobancaria Social Innovation Lab is a reference framework for identifying, classifying, and reporting on the banking sector’s social portfolios. This proposal—the second of its kind in Latin America after Guatemala’s Social Taxonomy—was developed through multiple sessions of analysis, technical feedback, and sector-wide validation with member institutions. To create this framework, Asobancaria worked closely with the Global Green Growth Institute (GGGI), which develops social-portfolio standards aligned with the United Nations Sustainable Development Goals.

Andrea Guzmán, GGGI’s sustainable finance officer, said the problem with sustainability reporting among Asobancaria member banks was a lack of alignment on standards, with each bank setting its own measures of success for its social portfolios.

The framework addresses issues such as financial inclusion, social infrastructure, affordable housing, and services for small and medium-size businesses. A single framework to which all member banks agree “improves transparency,” Guzmán says. “It supports better decision-making by investors and helps mobilize more resources for our social sector. It’s a framework we can base bonds on. It’s a framework that helps banks avoid accusations of greenwashing.”

Consider the framework for sustainable and affordable housing. Guzmán notes that in rural Columbia, many houses lack access to water and may have only dirt floors. Therefore, a bank could claim success in affordable housing if it funded units with wood floors, fully plumbed and connected to the electrical grid. But what if those apartments are so far from public transportation that no one can get to work or school? Guzmán said that under the framework, banks agree that any affordable housing projects they fund would have access to the nation’s external infrastructure and social services.

Here’s a closer look at some of the world’s best fintech labs and the innovations they’re nurturing.

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Multiple US states subpoena OpenAI over ChatGPT user safety amid IPO push

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OpenAI is facing a fresh regulatory challenge after a group of state attorneys general demanded a wide range of documents about how ChatGPT protects the people who use it, a move that arrives at a delicate moment for the company as it lays the groundwork for a potential public listing.


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The investigation, which arrived just days after OpenAI filed confidential paperwork for an IPO, threatens to complicate a listing that some analysts expect will value the ChatGPT maker at roughly $1 trillion (€861bn).

According to The Wall Street Journal, which first reported the matter, OpenAI received the subpoena on Friday from a group of states, with the inquiry led by New York’s attorney general.

Officials are requesting material covering the company’s advertising practices, how it keeps people using its service, its handling of consumer and health data, and its policies towards minors and older adults.

OpenAI said it would engage with the offices behind the request and stressed that protections are already built into its product.

A spokesperson stated that the company takes the concerns raised by the attorneys general “seriously” and works to bring the benefits of the technology to people responsibly. However, the firm has not confirmed which other US states are taking part.

Mounting legal pressure

The subpoena adds to a growing list of legal headaches.

Last Thursday, a Canadian woman sued OpenAI, blaming ChatGPT for her daughter’s suicide. Earlier in June, Florida Attorney General James Uthmeier filed suit against the company and CEO Sam Altman after two shootings in which the alleged attackers reportedly used the chatbot to plan their crimes.

OpenAI responded that its models repeatedly urged the individuals to seek help from mental health professionals and that it cooperated with the police in both cases.

These are not the first courtroom tests of the year for OpenAI.

In May, a federal jury in Oakland, California took less than two hours to reject Elon Musk’s lawsuit accusing Altman of abandoning the firm’s nonprofit roots, finding he had filed too late. Musk, who called the ruling a “calendar technicality”, said he would appeal.

The clampdown also extends across the industry.

European regulators have opened investigations into Musk’s rival chatbot Grok over antisemitic and sexualised content, including deepfake images.

Anthropic, also preparing an IPO, was told by the Trump administration to restrict two of its models abroad on national security grounds, illustrating how AI governance has become an increasingly fraught political battleground.

Additional sources • AP

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