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Trump Media Launches Premium Truth Social Data Service, Raising New Ethics Questions Over Presidential Posts

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Trump Media & Technology Group on Thursday unveiled a premium data service that will provide paying customers with licensed, real-time access to content posted on Truth Social, a move aimed at Wall Street firms and other professional users seeking immediate access to market-moving information from the platform.

The new offering, delivered through an Application Programming Interface (API), will allow subscribers to receive real-time posts and historical data from selected Truth Social accounts. While the company did not specifically mention President Donald Trump’s account in its announcement, the service is widely expected to derive much of its value from the president’s frequent use of the platform for official statements on economic policy, tariffs, geopolitics and financial markets.

“Markets already move on Truth Social posts,” Trump Media interim Chief Executive Kevin McGurn said in announcing the service.

The launch represents Trump’s social media company’s latest effort to diversify beyond advertising and subscriptions by monetizing the unique influence of its platform, particularly as institutional investors, trading firms and news organizations increasingly monitor presidential communications for market-sensitive developments.

President Trump’s @realDonaldTrump account is the largest on Truth Social, with approximately 12.9 million followers as of Thursday, according to the company and third-party estimates. The president has routinely used the platform as his primary channel for announcing policy decisions, including tariffs, military actions, executive orders, and other government initiatives before they appear elsewhere.

That practice has effectively turned Truth Social into a critical source of information for financial markets, where investors increasingly rely on automated systems capable of reacting to headlines within milliseconds.

The new API is designed to serve precisely that audience.

Institutional investors, hedge funds, algorithmic traders, and financial data providers commonly purchase low-latency feeds from social media platforms to capture breaking information before it becomes widely disseminated. Such services are also used to build sentiment analysis models that scan posts for market signals and adjust trading strategies accordingly.

Unlike comparable products offered by other social media companies, however, Truth Social occupies a unique position because it hosts the primary communications channel of a sitting U.S. president.

That distinction has prompted renewed scrutiny from ethics experts, who believe the arrangement creates potential conflicts between public office and private financial interests.

Virginia Canter, an ethics attorney with Democracy Defenders Fund, said the arrangement raises significant concerns because President Trump continues to communicate official government decisions through a platform tied to his family’s financial interests.

“It’s a huge conflict of interest,” Canter said.

“He has an obligation to the American people to convey information to them publicly, and he’s now funneling it through a private channel in which he has a private interest as one of its largest shareholders.”

Canter added that Truth Social has effectively “become the de facto presidential press room.”

The White House referred questions to the Trump Organization, which declined to comment. Trump Media did not immediately respond to follow-up questions.

Although President Trump transferred his holdings in Trump Media to a revocable trust managed by his son, Donald Trump Jr., after returning to office, the Trump family remains the company’s largest shareholder.

According to Securities and Exchange Commission filings, approximately 114 million shares, representing about 42% of Trump Media, were transferred into the trust following Trump’s election victory.

The API launch also highlights how social media has become an important source of market-moving information. Financial firms have long subscribed to premium data products from platforms such as X and other networks to obtain faster access to breaking news and public sentiment.

Truth Social is now seeking to compete in that market by capitalizing on its role as the first destination for many presidential announcements.

The initiative could create a new recurring revenue stream for Trump Media at a time when the company continues to search for sustainable business growth. Since going public through a special purpose acquisition company merger in March 2024 under the ticker DJT, the company’s shares have fallen about 84%, according to FactSet data.

For investors, the premium data service underpins an effort to reposition Truth Social as more than a consumer social network by targeting institutional clients willing to pay for faster access to information capable of influencing financial markets.

However, analysts believe the service gaining broad adoption will likely depend on the extent to which Wall Street firms view Truth Social as indispensable for monitoring presidential communications, as well as whether ongoing ethical and political scrutiny affects institutional demand.

“Bitcoin Protects Against Inflation” – Binance Founder Changpeng Zhao Says

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Binance founder Changpeng Zhao, widely known as CZ, recently drew a clear distinction between emerging technologies and sound money.

In a post on X, he stated, “AI is great, but it does not protect you against inflation. Bitcoin does.”

According to Zhao, Bitcoin offers protection against the erosion of purchasing power caused by inflation, reinforcing its appeal as a scarce digital asset amid ongoing global economic uncertainty.

His comment comes amid ongoing discussions about inflation’s impact on purchasing power and investor strategies in 2026. Many observers note that official consumer price inflation figures often understate the real erosion of money’s value through expansive monetary policies.

Bitcoin, with its hard-capped supply of 21 million coins, offers a decentralized alternative that cannot be inflated at will by governments or central banks.

CZ’s perspective aligns with the crypto asset foundational design as digital scarcity. Proponents view it as “digital gold,” capable of preserving wealth over time regardless of fiat currency debasement.

This thesis has gained traction during periods of monetary expansion, though Bitcoin’s price remains volatile in the short term.

However, the market has challenged the notion that Bitcoin always protects against inflation. During the global inflation surge of 2022, Bitcoin fell sharply alongside technology stocks despite inflation reaching multi-decade highs.

More recently, Bitcoin has often rallied following softer-than-expected U.S. inflation data because lower inflation increases expectations of interest-rate cuts, improving investor appetite for risk assets.

This suggests Bitcoin is currently influenced as much by monetary policy expectations and broader market sentiment as by inflation itself.

As of mid-2026, the asset has faced downward pressure amid broader market cycles, capital rotation into AI-related investments, and macroeconomic uncertainties.

On the other hand, Artificial intelligence while transformative for productivity and economic growth, does not function as a monetary asset. AI companies and tools can generate value and returns, but they do not serve as a hedge against currency dilution in the same way Bitcoin’s protocol does.

CZ’s remark separates the two: innovation drives progress, but sound money protects the fruits of that progress. The statement quickly circulated in crypto communities, echoing long-standing arguments from Bitcoin advocates.

Critics point to Bitcoin’s price swings as evidence against its reliability as an inflation shield in any given year. Supporters counter that true long-term protection comes from its immutable supply schedule and growing adoption as a global reserve asset, independent of any single government’s policies.

CZ, who stepped back from day-to-day Binance operations but remains influential in the space, has frequently shared views on market cycles and Bitcoin’s role.

His comments often move sentiment and highlight fundamental differences between technology sectors and monetary instruments.

As inflation concerns persist into 2026, CZ’s comparison underscores a key choice for investors: tools for growth versus assets designed to maintain purchasing power. Bitcoin continues to attract those seeking the latter in an era of unprecedented monetary experimentation.

Looking ahead, Bitcoin’s role as an inflation hedge is likely to remain a subject of debate.

As institutional participation continues to grow through exchange-traded funds (ETFs), corporate treasury adoption, and broader integration into the global financial system, Bitcoin may become less driven by its scarcity narrative alone and more influenced by macroeconomic factors such as interest rates, liquidity, and investor risk appetite.

Ultimately, Bitcoin’s outlook as an inflation hedge will depend on how it evolves within the global financial system. 

HSBC Upgrades India to ‘Neutral’ As Lower Oil Prices Revive Earnings Outlook, But AI Capital Shift Remains A Risk

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HSBC has upgraded Indian equities to “Neutral” from “Underweight,” becoming the latest global investment bank to turn more constructive on the country’s stock market after easing oil prices reduced pressure on corporate earnings and government measures to stabilize the rupee helped bring foreign investors back.

The brokerage also raised its end-2026 target for the BSE Sensex to 84,000 from 80,500, implying an 8.6% upside from current levels. The move marks a reversal from HSBC’s bearish stance in April, when surging crude prices and geopolitical tensions prompted it to downgrade Indian equities in favor of North East Asian markets.

The upgrade indicates that India’s investment outlook has improved as one of the world’s largest oil importers. Lower energy prices are easing inflationary pressures, reducing input costs for businesses and improving macroeconomic stability after months of uncertainty triggered by the U.S.-Israel conflict with Iran.

“The oil shock has eased, taking some pressure off margins and lowering the risk of significant earnings downgrades,” HSBC said in a research note.

The bank’s more optimistic view follows a sharp retreat in global oil prices. Brent crude has fallen 33% from its April peak of $126.41 per barrel after the United States and Iran reached an interim agreement that eased fears of prolonged supply disruptions in the Middle East.

The decline brings good news for India because the country imports roughly 85% of its crude oil requirements, making energy prices one of the biggest determinants of inflation, corporate profitability, fiscal balances and the current account deficit.

Lower crude prices reduce transportation and manufacturing costs, ease pressure on consumer inflation, and lessen the government’s fuel subsidy burden. For listed companies, especially those in manufacturing, transportation, aviation, consumer goods, and chemicals, cheaper energy improves operating margins and lowers the likelihood of earnings downgrades.

The improved energy backdrop also gives the Reserve Bank of India greater flexibility on monetary policy while supporting domestic consumption.

Foreign Investors Begin Returning

Another factor behind HSBC’s upgrade is the return of overseas capital. Foreign portfolio investors have purchased approximately $1.6 billion worth of Indian equities so far in July, reversing four consecutive months of heavy selling.

The rebound is notable given the scale of capital that exited earlier this year. Foreign investors have withdrawn $27.7 billion from Indian stocks in 2026, already exceeding the previous annual record outflow of $18.9 billion recorded last year.

Much of that selling reflected a global rotation into technology and semiconductor stocks benefiting from the artificial intelligence boom. Investors shifted capital toward markets with greater exposure to AI leaders, including the United States, Taiwan and South Korea, while reducing positions in markets such as India that have relatively limited participation in the AI supply chain.

The stabilization of the rupee, helped by policy measures and improving external conditions, has also made Indian assets more attractive by reducing currency risk for overseas investors.

While HSBC’s outlook has improved, the bank cautioned that India’s recovery in foreign inflows may prove difficult to sustain as investors continue chasing opportunities tied to artificial intelligence.

The AI investment cycle has fundamentally altered global capital allocation.

Technology companies involved in advanced semiconductors, AI infrastructure, cloud computing and memory chips have attracted enormous investment as spending on AI accelerates worldwide. Markets with heavy exposure to companies such as Nvidia, TSMC, SK Hynix, Samsung Electronics and AI infrastructure suppliers have significantly outperformed broader emerging markets.

India has benefited from AI through software services and digital adoption but lacks a large domestic ecosystem of listed companies manufacturing advanced chips, AI hardware, or data center infrastructure. That structural difference has contributed to India’s relative underperformance this year.

HSBC noted that concerns remain over whether foreign investors will continue allocating funds to India once attention shifts back toward AI-related investment opportunities.

India Still Trails Regional Markets

Despite the recent improvement in sentiment, Indian equities remain behind their regional peers. The benchmark Sensex is down 7.7% so far this year, while the MSCI Asia-Pacific Index excluding Japan has gained 21%, driven largely by strong performances in technology-heavy markets.

HSBC continues to view South Korea as the strongest growth story in Asia, reflecting its central role in the AI semiconductor supply chain through companies such as SK Hynix and Samsung Electronics. However, the bank warned that concentrated investor positioning and leverage in Korean equities could continue generating elevated volatility.

Within India, HSBC favors sectors positioned to benefit from improving domestic economic conditions rather than export-driven technology industries.

The brokerage identified several preferred sectors:

  • Private sector banks are supported by healthy credit growth and improving asset quality.
  • Consumer discretionary companies that stand to benefit from easing inflation and stronger household spending.
  • Real estate developers, as lower financing costs and improving consumer confidence support housing demand.
  • Commodities companies, which could benefit from recovering industrial activity.
  • Select industrial firms positioned to capitalize on infrastructure investment and manufacturing expansion.

These sectors are viewed as the primary beneficiaries of lower energy costs and improved domestic demand.

HSBC’s upgrade follows a similar move by Goldman Sachs earlier this month, suggesting global investment banks are becoming more constructive on India after the sharp correction earlier this year.

However, the report also underscores that India’s recovery remains largely cyclical rather than structural. Lower oil prices have improved corporate earnings prospects and attracted foreign capital back into the market, but the country’s limited exposure to the global AI investment boom continues to constrain relative performance.

SpaceX Attracts $25bn In Short Sellers’ Bearish Bets As Post-IPO Slide Deepens Ahead Of Lockup Expirations

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Short sellers are rapidly increasing bearish bets against SpaceX, with short interest surging to nearly one-third of the company’s publicly tradable shares as investors position for further declines following the company’s blockbuster initial public offering.

About 185 million SpaceX shares are now sold short, representing approximately 29% of the company’s public float and roughly $25 billion worth of bearish positions, according to data from S3 Partners.

The increase has been dramatic. Just three weeks ago, an estimated 40 million shares, or roughly 5% to 7% of the float, were sold short.

“We are seeing continuous demand from short sellers building speculative positions since the IPO,” Matthew Unterman, head of research at S3, told CNBC.

The sharp increase in short interest shows there is growing skepticism over SpaceX’s near-term valuation after the company’s highly anticipated public debut. While the IPO initially generated strong investor enthusiasm, the stock has since lost momentum, falling about 20% in July and briefly dropping below its $135 IPO price on Wednesday for the first time. Shares were last trading around $133.

One of the biggest concerns weighing on the stock is the approaching wave of lockup expirations, which could significantly expand the number of shares available for trading and increase selling pressure.

SpaceX floated only about 5% of its roughly 13 billion outstanding shares during its IPO, making the stock particularly sensitive to changes in supply. A relatively small public float means even modest selling activity can trigger outsized price swings, while the limited availability of shares has also made the stock attractive to short sellers.

According to KeyBanc Capital Markets, the first major lockup expiration is expected around the company’s second-quarter earnings release, when roughly 11% of outstanding shares could become eligible for sale.

Further lockup releases are expected in stages. Additional tranches representing about 4% of outstanding shares are scheduled to become available beginning around 70 days after the IPO, followed by more shares tied to performance milestones and the company’s third-quarter earnings report.

The largest insider holding remains locked up. Chief Executive Elon Musk’s stake, which accounts for about 42% of SpaceX’s outstanding shares, cannot be sold until June 2027, limiting the immediate risk of a large insider disposal but leaving a substantial future supply overhang.

The rising short interest is seen as an indication of a common dynamic following high-profile IPOs with limited public floats. Traders often anticipate that lockup expirations will increase share supply, potentially weighing on prices as early investors, employees, and insiders gain the ability to monetize their holdings.

Beyond technical factors, investors are also assessing whether SpaceX’s valuation adequately reflects its long-term growth ambitions. The company raised a record $75 billion in its IPO, pitching investors on businesses that extend beyond launch services, including satellite broadband through Starlink, enterprise artificial intelligence applications, and plans to deploy data centers in space.

Those initiatives have helped position SpaceX as a play on multiple high-growth technology themes, including AI infrastructure, cloud computing and next-generation communications. However, they also require substantial capital spending and execution over several years, making the stock vulnerable to shifts in investor sentiment toward high-growth companies.

Attention is now turning to operational catalysts that could influence trading. SpaceX’s 13th Starship test flight is scheduled for Thursday, providing investors with an opportunity to assess progress on one of the company’s flagship programs. Successful missions could improve sentiment, while technical setbacks may reinforce concerns already reflected in the rapidly growing short positions.

The unusually high level of short interest also raises the possibility of heightened volatility. With nearly one-third of the public float now sold short, positive operational developments, stronger-than-expected financial results, or favorable news around Starlink or AI initiatives could trigger a short squeeze, forcing bearish investors to buy back shares and potentially accelerating gains.

Conversely, disappointing execution or heavier-than-expected selling following upcoming lockup expirations could validate the current bearish positioning and add further downward pressure to the stock.

Nvidia-Backed AI Cloud Startup Fireworks Tops $1bn Revenue Run Rate As Enterprises Seek Cheaper AI Alternatives

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The rapid rise in the cost of using frontier artificial intelligence models is reshaping the enterprise AI market, creating an opening for infrastructure providers that help companies deploy cheaper open-source models while retaining greater control over their proprietary data.

One of the biggest beneficiaries is Fireworks, an Nvidia-backed AI cloud startup that said it has surpassed a $1 billion annualized revenue run rate, underscoring how demand is shifting beyond the largest AI model developers.

The San Mateo, California-based company announced Thursday that it has raised $1.5 billion in fresh funding at a $17.5 billion valuation, a fivefold increase in annualized revenue from a year ago.

“We’re seeing super-linear demand,” Fireworks co-founder and Chief Executive Officer Lin Qiao told CNBC. “This is a once-in-a-lifetime opportunity to have this kind of market.”

The milestone is notable because it highlights a growing segment of the AI ecosystem that is benefiting from enterprise concerns over both the cost and strategic implications of relying exclusively on proprietary models from companies such as OpenAI and Anthropic.

While OpenAI and Anthropic have each attracted valuations exceeding $800 billion this year, Fireworks’ rapid growth suggests that many businesses are increasingly looking beyond frontier AI labs in search of lower-cost and more customizable alternatives.

Fireworks operates in the inference cloud market, providing infrastructure that allows developers to deploy and optimize open-source AI models rather than relying solely on proprietary systems. The company competes with major cloud providers including Amazon and Google, as well as AI infrastructure startups such as Baseten and Together AI.

It has also expanded into GPU infrastructure for AI model training, putting it alongside specialized cloud providers such as CoreWeave, Lambda and Nebius.

Its growth reflects broader changes in enterprise AI spending.

Chief financial officers and technology executives are becoming more focused on controlling AI costs as model usage scales. Instead of paying premium prices for every AI workload, many companies are selectively deploying open-weight models for specialized applications where comparable performance can be achieved at substantially lower costs.

“Our cost compared with the equivalent-quality closed model is five to 10 times cheaper,” Qiao said.

The trend aligns with comments made this week by Microsoft Chief Executive Satya Nadella, who argued that companies should be able to use AI models without surrendering the institutional knowledge that gives them a competitive advantage. Nadella’s remarks echoed recent comments by Palantir CEO Alex Karp, who said enterprises increasingly want to “own the means of production” instead of depending entirely on external AI providers.

Fireworks has positioned itself squarely around that proposition. Rather than competing directly with OpenAI or Anthropic in developing frontier foundation models, it enables customers to build customized AI systems using their own proprietary data.

While OpenAI and Anthropic provide what Qiao described as “generalized intelligence,” Fireworks aims to deliver “specialized intelligence” by allowing enterprises to refine open models for specific industry use cases.

The platform hosts a wide range of open-source models, including offerings from Chinese developers DeepSeek, MiniMax and Z.ai, as well as open-weight models released by OpenAI. Customers can combine these models with proprietary enterprise data to improve performance for domain-specific tasks without exposing sensitive information to external model providers.

The company’s expanding partnerships also illustrate how the AI infrastructure market is becoming more collaborative rather than winner-take-all.

In March, Fireworks announced a partnership with Microsoft that integrates its services with Microsoft’s Foundry platform. The arrangement gives Microsoft customers access to Fireworks’ infrastructure while allowing Fireworks to leverage Microsoft’s enterprise distribution network.

“Through Microsoft we can get much bigger reach,” Qiao said.

The company relies on computing capacity from more than 20 infrastructure providers, including Microsoft, giving customers flexibility beyond the traditional hyperscale cloud model.

Its rapid expansion also challenges assumptions that Amazon, Microsoft, and Google will dominate every layer of enterprise AI infrastructure. Investors have increasingly rewarded companies serving specialized AI workloads. DigitalOcean shares have climbed 149% this year as AI-related demand accelerated, while GPU cloud provider CoreWeave, which raised $1.5 billion through its IPO last year, now commands a market capitalization of about $42 billion.

Fireworks’ operational scale has expanded dramatically alongside its financial growth. The company now processes approximately 40 trillion AI tokens every day, according to Qiao.

For comparison, Google disclosed in May that developers process roughly 19 billion tokens per minute through its AI models, equivalent to more than 27 trillion tokens daily. OpenAI said in March that its developer platform handled around 15 billion tokens per minute, or roughly 22 trillion tokens per day.

Although token counts are not directly comparable because pricing, workloads, and model architectures differ, the figures underline how quickly Fireworks has become one of the industry’s largest AI inference platforms. Its customer base has also diversified significantly. Last year, AI coding startup Cursor accounted for about half of Fireworks’ revenue. Today, Qiao said the business is substantially more diversified.

Cursor itself has reduced its dependence on OpenAI and Anthropic by developing its own proprietary Composer model. SpaceX agreed in June to acquire Cursor in a $60 billion stock transaction expected to close this quarter, further highlighting the strategic value of companies that control their own AI infrastructure rather than relying exclusively on external providers.

Other enterprise customers include Elastic, GitLab, and MongoDB.

Founded in 2022 by former Meta executive Lin Qiao and six co-founders, Fireworks currently employs about 200 people. The company plans to triple its workforce to around 600 employees by the end of 2026 as it expands its engineering organization, acquires additional GPUs and builds a dedicated enterprise sales force after years of relying primarily on self-service customer adoption.

The funding round was led by Atreides Management, Index Ventures and TCV, with participation from Nvidia, Evantic and Lightspeed Venture Partners.