Truth Social launches service selling faster access to Trump posts

nbcnews.com Aug 2, 2026

Truth Social launches service selling faster access to Trump posts

Curated by Shubham · TechCapsules · Aug 2, 2026

AI-summarised brief · reviewed before publication

Trump Media and Technology Group launched “Truth API,” a paid subscription service granting financial firms real-time alerts for President Donald Trump’s social media posts before the general public. The high-speed data feed aims to provide Wall Street with milliseconds of advantage on market-moving announcements, such as tariff declarations or military operations, which Trump frequently posts on Truth Social. With 13 million followers, Trump uses the platform for official statements. The service allows subscribers to bypass standard scraping methods used by Bloomberg and Reuters. Trump holds a 41% stake in the company, positioning him to profit directly from the subscription fees. Senators Elizabeth Warren and Adam Schiff have urged the Securities and Exchange Commission to investigate the service, alleging it constitutes an abuse of office that undermines market integrity and everyday investors by selling privileged access to presidential communications.

💡 Why It Matters

· Monetizing presidential communications creates a direct conflict of interest where the executive branch effectively sells market advantages.
· This commercialization of official government statements raises fundamental questions about equitable access to information and the integrity of financial markets.

Read full article on nbcnews.com

SpaceX’s biggest test yet arrives this week and it’s not a rocket…

SpaceX will release its second-quarter earnings after market close on Tuesday, August 4, marking its first public financial disclosure since its June initial public offering. Management will host a live audio-only webcast on X at 4:30 p.m. ET. This report precedes the August 6 expiration of the first lockup tranche, which unlocks approximately 911.5 million insider and employee shares, valued at over $100 billion. This represents the largest such release in Wall Street history. A second, larger tranche tied to a 30 percent price increase above the $135 IPO price did not trigger as shares traded below that threshold. Analysts estimate quarterly revenue near $6.9 billion, up from $4.69 billion in the first quarter, with a narrower per-share loss than the previous $1.27. The results will provide the first independent performance data for Starlink, launch, and AI segments. Investors are closely monitoring subscriber growth, AI contract revenues from partners like Anthropic and Google, and capital expenditure trends. The earnings call also follows Elon Musk’s denial of reports regarding a potential Tesla-SpaceX merger and the separation of Tesla’s China business.

💡 The impending unlock of over $100 billion in shares creates immediate supply pressure that tests market confidence in SpaceX’s valuation. Investors must determine if the company’s rapid revenue growth and massive AI contracts can justify the stock price despite the potential for significant insider selling.

tekedia.com · Aug 2

Nvidia and Tesla Sell-Off Tests the AI Trade as Blockchain Fundamentals Remain…

Nvidia and Tesla experienced significant stock declines, with Nvidia dropping 10.4% and Tesla falling 16.4%, triggering concerns about a potential correction in the artificial intelligence investment narrative. Nvidia, a critical driver of AI infrastructure and major equity indices like the S&P 500, faces reassessment of its valuation and earnings expectations. Tesla’s steeper decline reflects growing investor caution toward high-growth technology companies reliant on future innovation rather than current cash flows. Rising interest rates, geopolitical tensions, and high expectations for AI revenue growth contribute to this pressure. While the AI trade faces short-term turbulence, blockchain infrastructure continues to gain momentum. The S&P Blockchain Fundamentals Index is emerging as a key benchmark for institutional investors seeking exposure to the blockchain economy, offering a structural trend that persists despite the immediate volatility affecting major AI-related stocks.

💡 The divergence between AI volatility and blockchain stability reveals a strategic pivot in institutional capital allocation. Investors are actively hedging against high-valuation tech risks by anchoring portfolios in tangible blockchain infrastructure rather than speculative software narratives.

cleantechnica.com · Aug 1

Rivian Posts Positive News, Stock Price Drops

Rivian reported positive second-quarter financial results and favorable shareholder call outcomes in July 2026, yet its stock price declined significantly. The share value dropped approximately 3.9% following the news, continuing a multi-week slide from $20.14 to the mid-teens. Analysts attribute this counterintuitive market reaction to a recent equity raise that diluted existing shares and heightened headline risk. Additionally, Rivian filed a lawsuit in the U.S. Court of International Trade seeking tariff refunds based on a Supreme Court ruling. While a victory would provide extra cash, traders viewed the legal action as a wildcard. Morgan Stanley raised its price target to $13 but maintained an Underweight rating, reflecting institutional caution. Investors remain concerned about the company’s negative automotive gross margin, which stood around 3%, and its ongoing operational cash burn, prioritizing these fundamental risks over the reported positive developments.

💡 The market’s rejection of Rivian’s positive operational updates demonstrates that dilution and persistent margin deficits currently outweigh potential legal windfalls for investors. This dynamic forces the company to prove sustainable profitability before equity raises can be viewed favorably by the market.

us.headtopics.com · Aug 1

The Big Tech Boys’ Club Finds a New Way to Grow: AI

Major technology corporations are pivoting their growth strategies toward artificial intelligence after previous ventures like virtual reality and the Metaverse failed to gain traction. These companies, often characterized as a wealthy elite, are leveraging substantial capital to dominate the AI sector. Unlike earlier low-capital software successes, current AI development requires massive financial investment from external sources, including the finance and investment communities. This influx of capital fuels rapid scaling in both hardware and software. However, concerns persist regarding the sustainability of this model. Critics point to "AI circular financing," where money circulates within the industry rather than generating traditional mass-market revenue. There is significant risk that this spending will not yield a positive return on investment. Additionally, the environmental cost of powering AI data centers is rising. The article suggests that this heavy reliance on external funding masks underlying economic vulnerabilities. If the anticipated profits do not materialize, the industry faces potential instability. The author argues that this financial dynamic is a critical, yet overlooked, aspect of the current tech landscape.

💡 The industry’s reliance on speculative external capital rather than organic revenue creates a fragile economic foundation. This disconnect between massive spending and actual profitability poses a systemic risk to the broader financial markets.

cleantechnica.com · Aug 1

“Circular” Financing in AI & Big Tech

Big Tech billionaires, having exhausted growth in social media and email, are aggressively pivoting toward artificial intelligence to maintain expansion. This shift follows the commercial failure of virtual reality, the Metaverse, and Google Glass, alongside delayed Mars missions. AI has emerged as the new revolutionary frontier, attracting trillions of dollars in investment from the finance sector. Unlike previous ventures, this capital does not stem from mass-market revenue streams but from institutional investors seeking the next major financial opportunity. The article describes this dynamic as “circular financing,” where external money circulates within the tech ecosystem. However, this model relies on continuous external funding rather than organic profitability. If these massive investments fail to generate a positive return on investment, the financial structure faces significant risk. The capital is literally burned in pollution-heavy data centers powering AI hardware and software. The author argues that this reliance on speculative funding, rather than sustainable revenue, represents a critical, overlooked vulnerability in the current Big Tech economic model.

💡 The AI boom is structurally dependent on speculative capital rather than consumer revenue, creating a fragile economic bubble. This disconnect between massive spending and actual profitability threatens long-term stability for the entire tech sector.

techtimes.com · Aug 1

Unitree IPO Subscription Opens: Profitable Robot Maker vs. $39B No-Revenue Figure AI

Unitree Robotics, Hangzhou-based manufacturer of humanoid robots, has set subscription dates for its Shanghai STAR Market IPO, marking the sector’s first publicly traded, profitable competitor. Book-building opens August 5, with public subscription on August 10. The company enters markets with a base valuation of ¥42 billion ($6.22 billion) and secondary expectations above ¥100 billion ($14.82 billion). Unitree reports revenue of ¥1.708 billion ($253 million) and an adjusted net profit of ¥600 million ($89 million). This listing challenges Figure AI’s $39 billion private valuation, which relies on near-zero disclosed revenue. Unitree received final regulatory approval on July 2, 2026, completing the fastest full-cycle review in STAR Market history at 104 days. The rapid approval signals state endorsement of "embodied intelligence," a priority in China’s 2025 Government Work Report and 15th Five-Year Plan, which mandates 10,000 humanoid robots in operational roles by December 31, 2026. Goldman Sachs projects the global market will reach $38 billion by 2035.

💡 Unitree’s profitable public listing provides the first objective market benchmark for humanoid robotics, directly challenging the speculative valuations of private peers like Figure AI. This transition from closed negotiations to daily public trading forces the industry to align its worth with actual revenue and operational scale rather than future potential.