Key Facts
- Alibaba’s $50B AI Windfall: Alibaba’s shares skyrocketed nearly 19% in Hong Kong trading on Sept. 1 – the biggest one-day jump since 2022 – adding roughly $50 billion in value. The rally came after Alibaba reported a triple-digit percentage jump in AI-related product revenue and a 26% surge in cloud division sales, signaling it is gaining ground in China’s AI boom reuters.com bloomberg.com. Investors cheered the results as evidence that Chinese tech giants can monetize AI at scale.
- Nvidia’s Post-Earnings Chill: Despite blockbuster Q2 results, Nvidia’s stock fell ~2% after a tepid sales forecast that excluded potential China revenue, and ended last week down ~4% gpb.org reuters.com. CEO Jensen Huang dismissed fears of an AI spending peak, insisting the boom is “far from over” and predicting $3–4 trillion in AI infrastructure spending by 2030 reuters.com. Still, keeping China out of its outlook (amid U.S. export curbs) gave Wall Street pause, tempering the chipmaker’s red-hot momentum reuters.com.
- “AI Bubble” Jitters Hit Big Tech: The late-August market saw signs of AI fatigue. The tech-heavy Nasdaq-100 slipped ~0.35% for the week as high-flying AI stocks sold off tipranks.com. OpenAI CEO Sam Altman warned investors had become “overexcited” about AI, and a new MIT survey found 95% of companies reporting no financial return yet on their AI investments reuters.com gpb.org. Those red flags sparked a sharp pullback in the “Magnificent Seven” mega-cap tech names – e.g. Nvidia, Microsoft, Alphabet, Meta – which have driven this year’s rally investopedia.com theguardian.com. Fund managers are debating if AI’s promise justifies sky-high valuations, or if a dot-com-style reckoning looms.
- AI Funds & ETFs in Flux: Investors have poured into AI-focused funds, fueling big launches and big swings. The new Wedbush “AI Revolution” ETF (ticker IVES) smashed through $500 million in assets in under three months etf.com, reflecting insatiable demand to “ride the AI wave” etf.com. The Roundhill Magnificent Seven ETF – loaded with top AI megacaps – shed ~3.5% mid-week on bubble fears before rebounding investopedia.com. Globally, Japan’s SoftBank (a major AI investor) tumbled 6% and chip-equipment maker Advantest dived 9% on profit-taking, after both surged in recent months on AI chip frenzy reuters.com. In short, AI-themed funds are booming but volatile, mirroring the sector’s highs and jitters.
- Emerging Players & Deals: Smaller AI-linked stocks also saw action. Ambarella, a niche AI chipmaker, saw its shares soar ~19% after crushing earnings estimates – Q2 revenue jumped 50% on booming demand for its “Edge AI” vision chips nasdaq.com nasdaq.com. Palantir, the data analytics firm pivoting to AI, recently gave back about 9% after a meteoric run (the stock is still up over 100% this year) theguardian.com. AI partnerships and M&A are heating up too: Meta announced a deal to license Midjourney’s generative image/video AI tech to bolster its platforms techcrunch.com, complementing Meta’s $14 billion investment in Scale AI and other acquisitions aimed at keeping its AI edge. Such moves show incumbents and upstarts alike racing to lock in talent and tech in the AI gold rush.
- Global AI Race Drives Markets: AI developments overseas are moving markets and policy. Chinese stocks rallied ~10% in August amid Beijing’s push for home-grown AI chips reuters.com reuters.com. Alibaba’s blowout results – and reports that China’s own “DeepSeek” AI models will use Huawei chips instead of Nvidia – sent a jolt through Asian markets, lifting Alibaba 19% while underscoring China’s determination to fill the Nvidia void reuters.com reuters.com. Meanwhile, U.S.–China tech tensions simmer: Alibaba is designing advanced AI chips in-house as U.S. export curbs cap Nvidia’s sales reuters.com. President Trump’s trade policies added uncertainty – a court just ruled parts of his sweeping tariffs illegal (though they remain in effect pending appeal) reuters.com. Yet despite geopolitical and regulatory headwinds, investors remain cautiously optimistic. “The tariffs and export controls have added uncertainty… but the overall opportunity is still out there,” says BNP Paribas tech portfolio manager Pam Hegarty gpb.org, reflecting the market’s view that AI’s long-term potential transcends the near-term noise.
AI Mega-Caps: Hype vs. Reality in Late-August Markets
The final days of August saw a tug-of-war between AI-fueled optimism and growing caution among the market’s most valuable tech companies. Nowhere was this more evident than with Nvidia, the poster child of the AI boom. The GPU giant reported another quarter of blowout earnings, far exceeding analyst expectations. Demand for its AI chips (like the coveted H100) has been so overwhelming that CEO Jensen Huang likened the current AI build-out to “a new industrial revolution” with customers “buying everything [we have] – the buzz is: everything sold out” reuters.com reuters.com.
Yet Nvidia’s stock stumbled in the aftermath. Why? Investors zeroed in on management’s lukewarm Q3 revenue forecast, which, at Huang’s behest, excluded any future sales to China due to U.S. export uncertainties reuters.com. This cautious guidance – effectively bracing for zero China revenue – spooked the market, given China has historically been a major consumer of Nvidia’s chips. Shares of Nvidia fell ~2% the next day and were down nearly 4% over the two sessions following the report gpb.org reuters.com. It was a reality check: even the $1+ trillion AI juggernaut isn’t invincible to geopolitics and sky-high expectations.
Huang moved quickly to reassure investors. On an earnings call and in media interviews, he dismissed talk of an AI spending peak, insisting that demand is broadening, not fading. “A new industrial revolution has started. The AI race is on,” he declared, predicting a $3–4 trillion market for AI infrastructure by 2030 reuters.com. Indeed, Nvidia’s view is that we are in the “early stages” of a massive AI build-out – Huang noted that hyperscale data centers will spend an estimated $600 billion on capex this year alone, much of it on AI, and Nvidia expects to capture a significant chunk of that reuters.com reuters.com.
Some analysts agree that the long-term story remains intact. “If anything, this just highlights that there’s a lot of durability to this AI trade… The hyperscalers can continue to accelerate, and you’re not seeing any sign of a slowdown in Nvidia’s results,” observed Matt Orton of Raymond James, pointing out that Big Tech’s capital expenditures on AI remain enormous reuters.com. In Q2, in fact, Nvidia’s net profit even exceeded Apple’s for the first time, showcasing the unprecedented surge in AI hardware spending reuters.com.
Still, the near-term mood around Big Tech and AI has soured slightly compared to the euphoria earlier in 2025. Over the past week, mega-cap tech stocks collectively lost ground amid what one observer called a “wake-up call for investors” theguardian.com theguardian.com. The Nasdaq-100, dominated by AI-driven giants, fell into the red for the week – a modest ~0.3–0.4% dip tipranks.com, but notable since the index had notched five straight months of gains through August. The Magnificent Seven (Apple, Microsoft, Alphabet/Google, Amazon, Nvidia, Tesla, Meta) – whose outsized 2025 rallies have been fueled in large part by AI optimism – were hit by profit-taking. As an example, Microsoft and Alphabet (Google’s parent) each gave up a few percentage points from recent highs. Big Tech’s slight stumble was enough to pull the S&P 500 and Nasdaq off record territory tipranks.com, reinforcing how crucial AI excitement has been to 2025’s market upside.
Behind this cooling are mounting “AI bubble” warnings. In late August, OpenAI CEO Sam Altman (one of the leading figures in the AI revolution) publicly cautioned that some tech valuations now look “insane” and that investors might be overhyping AI’s near-term payoff theguardian.com. Around the same time, an MIT/Fortune survey dropped a reality bomb: 95% of companies investing in generative AI have not yet seen any tangible return on that spend gpb.org. In other words, for all the buzz, most corporate AI projects are still experimental costs, not money-makers. When those findings hit, it “sent the Nasdaq into a days-long slump” as traders reconsidered how much growth is priced into AI stocks gpb.org.
Even previous market darlings felt the pinch. Take Palantir Technologies, the data analytics firm that rebranded itself this year as an “AI platform” provider. Palantir’s stock had exploded more than 100% in 2025, making it the top S&P 500 performer at one point nasdaq.com theguardian.com, amid excitement for its AI-powered defense and enterprise products. But in late August, Palantir shares plunged nearly 10% over a few sessions theguardian.com. The drop came despite the company’s early-August earnings beat and raised forecast (citing “soaring AI demand” from government and commercial clients) – suggesting that even good AI news was fully priced in. Similarly, enterprise software makers, chip firms, and cloud providers that rode the AI hype saw their stocks whipsaw as sentiment turned more cautious.
To be clear, many analysts still argue this is a normal breather, not a bubble burst. “Near-term volatility is not surprising given the run-up in valuations… but we advise against becoming overly defensive,” UBS analysts wrote, pointing to strong underlying earnings and the prospect of AI-driven efficiency gains ahead investopedia.com investopedia.com. Indeed, Q2 earnings across Big Tech were broadly robust: Microsoft, Alphabet, and others showed double-digit growth aided by cloud and AI services, and cloud revenues jumped ~25%+ year-on-year at the leading providers investopedia.com. With the Federal Reserve now signaling dovishness (rate cuts could come as soon as September per futures markets) tipranks.com theguardian.com, the macro backdrop may also soon favor growth stocks again. In short, the AI leaders find themselves balancing towering expectations against early-stage financial results – a recipe for volatility, even as most on Wall Street agree that AI’s transformative impact (and the spending behind it) is only in its infancy.
Alibaba & the Chinese AI Surge: $50 Billion in One Day
While U.S. markets took a Labor Day breather on Sept. 1, Asia was buzzing – especially China – thanks to AI. The standout story was Alibaba Group, which delivered perhaps the clearest proof yet that the AI boom is a global phenomenon, not just a Silicon Valley story. Late on Aug. 31, Alibaba announced earnings that astonished investors: its AI and cloud initiatives are finally bearing fruit after years of heavy investment. The company posted a “triple-digit” (%) increase in AI product revenue and a 26% jump in cloud segment sales, blowing past expectations bloomberg.com. This AI-fueled growth helped Alibaba counter weakness in other areas and marked one of its best revenue upticks in years.
The market’s reaction was explosive. When Hong Kong trading opened, Alibaba’s stock rocketed almost 19% in a single session, its largest one-day gain since early 2022 reuters.com reuters.com. For a company of Alibaba’s size, that is an enormous move – roughly $50 billion added to its market capitalization overnight. The rally lifted broader indices – the Hang Seng Tech index and Hong Kong market surged – and injected fresh optimism into Chinese equities, which have been climbing on an “AI fever”. In fact, China’s blue-chip CSI 300 index jumped 10% in August, buoyed by a bull run in Chinese tech stocks as domestic investors pile into AI names reuters.com reuters.com.
Alibaba’s management credited a post-restructuring focus and China’s “post-DeepSeek AI development frenzy” for the stellar results bloomberg.com. (DeepSeek is China’s rapidly evolving answer to ChatGPT and generative AI – a national effort spurring investment across tech firms.) Notably, Alibaba’s cloud unit – the most AI-exposed part of its business – saw better-than-anticipated growth, a sign that Chinese enterprises are ramping up AI adoption and require massive cloud computing power bloomberg.com. This mirrors trends seen in U.S. cloud giants, but with a Chinese twist: Beijing’s support and directives may be accelerating domestic AI projects. Authorities have reportedly been “pushing firms to develop a home-grown alternative to Nvidia’s AI chips” reuters.com, ensuring China’s AI boom isn’t crippled by U.S. silicon restrictions.
Indeed, one remarkable subplot was Huawei’s re-emergence in the AI arena. As Alibaba was soaring, reports surfaced that DeepSeek has chosen to train some AI models on Huawei’s Ascend AI chips, illustrating China’s progress in cultivating its own AI hardware ecosystem reuters.com reuters.com. This development is significant – Huawei’s chip division had been hobbled by U.S. sanctions, but domestic demand for Nvidia alternatives is giving it new life. The news triggered some knee-jerk moves in markets: Japanese chipmaker Advantest (which supplies testing gear for high-end AI chips) saw its stock plunge 9%, as traders feared reduced Nvidia exports to China could mean less testing business for firms like it reuters.com reuters.com. Likewise, SoftBank Group, heavily exposed to AI through its Vision Fund bets, fell ~6%, contributing to a 1.6% drop in Japan’s Nikkei index reuters.com reuters.com. In contrast, Chinese AI beneficiaries rallied – beyond Alibaba, other players in the mainland AI supply chain (from cloud providers to startups) got a lift, extending an ongoing liquidity-fueled surge in Chinese tech shares reuters.com.
Alibaba’s blowout also spotlighted an emerging theme: Chinese tech giants stepping up to fill the AI chip vacuum left by U.S. export controls. On Aug. 29, just ahead of earnings, Alibaba revealed it has developed a new AI chip in-house, more versatile than its previous models reuters.com. Crucially, this chip is being made by a Chinese semiconductor foundry, not TSMC, indicating a shift toward self-reliance reuters.com. The backdrop here is Nvidia’s H100 and H20 export saga – the U.S. has put strict limits on selling cutting-edge AI chips to China. Nvidia’s “H20” (a weaker, export-compliant version of its top chip) was even blocked for a time by U.S. authorities earlier this year reuters.com. Although the Biden administration (following Trump’s policies) gave Nvidia a partial reprieve in late July – allowing some H20 sales – Chinese firms clearly got the message and are racing to create domestic alternatives reuters.com. Alibaba’s new AI chip is one result; other giants like Baidu and Tencent are reportedly on similar paths. Beijing has also put subtle pressure on firms not to over-rely on U.S. silicon reuters.com, even allegedly discouraging big Nvidia H20 purchases.
For Alibaba, the strategy seems twofold: innovate on AI to drive new revenue (as this quarter proved), and reduce exposure to geopolitical risk by controlling more of the tech stack. Notably, Alibaba is one of Nvidia’s top customers globally reuters.com reuters.com – its pivot to local chips is as much a national policy response as a business decision. Investors appear to believe Alibaba can thread this needle, as evidenced by the stock’s powerful rally. As Winnie Hsu of Bloomberg wrote, the results “underscore the steady headway [Alibaba’s] making against rivals in a post-DeepSeek Chinese development frenzy”, suggesting China’s Internet giants are seizing the AI moment despite a challenging backdrop bloomberg.com.
The Alibaba-fueled optimism spilled over to the broader Chinese market and even policy circles. It comes at a time when China’s economy has been under pressure, so an AI-driven tech boost is very welcome in Beijing. There’s also a sense that China’s AI race with the West is entering a new phase: where Chinese companies prove they can commercialize AI breakthroughs. With Alibaba’s numbers and stock popping, we saw a concrete example: AI isn’t just a buzzword in China; it’s starting to move the needle on earnings and stock prices in a big way.
ETFs and Investors Piling In – With Caution
Wall Street’s love affair with AI has not been limited to individual stocks – it’s spurred a rush into thematic ETFs and funds as investors large and small clamor for exposure to the trend. Over the past quarter, numerous AI-focused funds have launched, and established tech funds have repositioned around the AI theme. The final days of August provided a snapshot of both the enthusiasm and the volatility in this space.
A headline-grabbing example is the Wedbush AI Revolution ETF (NYSE: IVES), an exchange-traded fund started by well-known tech analyst Dan Ives. Launched on June 3, this ETF attracted over $500 million in assets by the end of August – an extraordinarily fast gathering of cash etf.com. In fact, it crossed the $500M AUM milestone on Aug. 28, less than three months from inception etf.com. The fund’s success owes partly to Ives’ high profile and bullish AI calls, but mostly to insatiable investor demand for anything AI. Retail traders and institutions alike have been pouring money into such funds, eager to ride what Ives calls the “AI wave” etf.com. IVES holds a concentrated portfolio of about 30 “AI winners” – from Nvidia and Meta to Tesla, Palantir, and even Alibaba etf.com – essentially the key players in creating or using AI technology. Its returns have been solid out of the gate (up ~12.8% in under three months, slightly beating the tech-heavy NASDAQ’s gains) etf.com, though its true test will be weathering any AI sector pullback.
It’s not just new funds; existing tech ETFs have seen massive inflows this year as well. The Global X Artificial Intelligence & Technology ETF (AIQ), one of the largest AI-themed funds, and the ROBO Global Robotics & AI ETF (ROBO) both saw significant net inflows through August (according to ETF flow trackers), as investors seek diversified baskets of AI stocks. Even broad index funds like the S&P 500 ETFs have effectively become overweight AI, given the huge market cap gains of AI-centric firms (Nvidia alone recently comprised about 8% of the S&P 500 by value gpb.org). This concentration means many regular investors are exposed to the AI trade whether they realize it or not, via their 401(k) index funds.
However, late August’s turbulence hit these funds too. A case in point: the Roundhill “Magnificent 7” ETF (MAGS), which tracks the seven biggest U.S. tech stocks, sank about 3.5% over four days mid-week amid the AI valuation jitters investopedia.com. (It then bounced on the last trading day of August as rate-cut optimism gave a relief rally investopedia.com.) Similarly, leveraged products tied to AI favorites saw wild swings. For example, a 2x leveraged Nasdaq-100 ETF fell sharply during the tech sell-off. Reuters notes that 2025 has seen a boom in single-stock leveraged ETFs tied to AI names – part of the speculative fervor around this theme reuters.com. These instruments can amplify gains but also amplify losses, and regulators have watched warily as day-traders embrace them.
The fund flow frenzy underscores a key point: while there’s a lot of “hot money” chasing AI, there’s also emerging caution. August’s minor correction led some investors to trim positions or hedge. Options volumes on tech stocks have been high, and put-buying (protective bets) rose heading into September, historically a weak month for stocks tipranks.com. The question on everyone’s mind: is the “AI trade” overextended, or just pausing before another leg up?
Strategists are divided. Those in the bullish camp, like Wedbush’s Dan Ives, argue that we’re only in the first inning of monetizing AI, with trillions in enterprise and consumer value to be unlocked. They point to upcoming catalysts: new AI product launches (think ChatGPT integrations, AI copilots in software, autonomous driving improvements), and the next earnings season where AI-related revenue might start showing up more materially for many companies. In their view, any pullbacks are buying opportunities – a chance to accumulate AI winners for the long run.
On the other side, skeptics worry that hype has run ahead of reality. The fact that virtually all year-to-date S&P 500 gains were concentrated in seven AI-exposed stocks is a classic sign of a narrow, momentum-driven rally. If those names falter, the whole market could lose footing. Warnings from figures like Altman and the sobering data on ROI suggest it could take time before AI investments translate into the kind of earnings growth that justifies the stocks’ multiples. Additionally, there are macro risks: if inflation surprises to the upside or the economy dips into recession, high-valuation tech stocks (AI or not) could be hit hardest.
For now, the AI theme remains intact but volatile. Over Aug. 31 and Sep. 1, the takeaway for investors has been to buckle up for swings. As September trading kicked off (with U.S. markets closed on the 1st for Labor Day), European and Asian markets were left to react to the latest AI news in a vacuum. Europe’s exchanges were muted – the Stoxx 600 barely budged – indicating a wait-and-see mood reuters.com. But in Asia, we saw how quickly sentiment can shift: exuberance in China and Hong Kong, versus profit-taking in Japan. This bifurcation might be a preview of what’s to come: winners and losers within the AI universe, rather than the one-way up market we saw earlier this year.
An important side note is the regulatory backdrop, which could heavily influence AI investments going forward. On the regulatory front during these 48 hours, there were a few developments:
- In Washington, debates continue on how to manage the AI boom. Notably, U.S. Commerce officials floated the idea of taking equity stakes in companies receiving CHIPS Act grants (essentially making government a shareholder in AI chip ventures) investopedia.com. This unconventional idea, reported in August, adds uncertainty – it’s aimed at ensuring taxpayers benefit from upside, but tech investors fear it could dilute existing shareholders or deter companies from participating. No policy is set yet, but it reflects the government’s growing hands-on approach to critical AI-related industries.
- Antitrust and AI: Big Tech faces scrutiny on how they might leverage AI to entrench power. The FTC has hinted at monitoring AI for anti-competitive practices, though no major action was announced on Aug 31/Sep 1.
- Europe’s AI Act: The EU is finalizing a sweeping AI regulation that could impose new rules on AI systems’ transparency and usage. While not yet law, companies are bracing for compliance costs and restrictions on certain AI deployments (for instance, limitations on facial recognition). Any headlines here could sway European tech stocks, but early September saw more quiet progress rather than big news.
Finally, there’s the geopolitical wildcard: the upcoming Trump vs. regulators saga on tariffs and tech control. As mentioned, a U.S. Court of Appeals ruled that many of President Trump’s China tariffs (which indirectly affect tech by raising costs and provoking retaliation) were improperly instituted reuters.com. If upheld, it could unravel some of Trump’s trade deals and even force refunds of tariff money – an outcome that might strengthen China’s hand and potentially ease supply chain pressures. At the same time, Trump’s administration has been leveraging national security to exert unprecedented control over tech (for example, taking a 10% government stake in Intel as part of a deal gpb.org, and negotiating a cut of Nvidia’s China chip sales gpb.org). These unusual interventions have corporate America on edge, but tech investors are starting to “absorb that uncertainty”. “The tariffs and export controls have definitely added a lot of uncertainty… But investors are starting to absorb it,” notes Pam Hegarty of BNP Paribas, who remains optimistic on the AI sector’s prospects despite the political noise gpb.org. That sentiment captures the current state: cautious watchfulness, but still fundamentally bullish on AI.
Outlook: AI Drives On, Amid Market Crosswinds
In summary, the period of Aug. 31–Sep. 1, 2025, showcased both the immense promise and the immediate challenges of the AI-driven market rally:
- Promise, exemplified: Alibaba’s astounding $50 billion surge in value in one day reuters.com, on the back of real AI revenue gains, exemplifies how transformative AI can be for a company’s fortunes. It validated the bets investors have been placing on AI – not just in the U.S. but globally – and hinted that the “next trillion-dollar” market might have multiple centers of gravity (Silicon Valley and China’s tech hubs).
- Challenges, emerging: Nvidia’s stumble and the broader tech pullback illustrate that no rally goes up in a straight line. Even as AI permeates every sector – from chips to cloud to software – the market is grappling with how to value these opportunities. When do sky-high expectations overshoot reality? Are current prices baking in five years of growth that might not materialize? These questions are increasingly front-of-mind.
The consensus among experts is that AI is here to stay as a generational investment theme, but volatility will be par for the course. “Most companies are not getting the benefit [yet]… but they feel they have to keep trying because of the magnitude of disruption coming,” notes Gil Luria of D.A. Davidson gpb.org gpb.org. In other words, both businesses and investors may endure some disappointments in the short run, yet none can afford to ignore AI’s potential long run. This dynamic – fear of missing out vs. fear of a bubble – will likely keep markets choppy.
As we move further into September, all eyes will be on:
- Earnings from smaller AI players like C3.ai (reporting imminently) and others, to gauge if the AI spending trickles down beyond the giants.
- Product launches (for instance, any announcements at upcoming fall tech conferences – new AI chips from AMD? AI features in Apple’s next products?).
- Policy decisions, especially any new U.S. export rules on AI tech or China’s retaliation measures, which could swing sentiment on chip makers and tech titans overnight.
- Macro data – ironically, one of the best supports for AI stocks could be a weakening economy. If growth slows and the Fed cuts rates, high-growth tech (including AI names) tend to benefit. The latest U.S. jobs data and Fed speak (like Fed Chair Powell’s Jackson Hole comments highlighting uncertainty from Trump’s policies theguardian.com) suggest rate relief may be coming, which could re-ignite risk appetite.
In the big picture, the AI revolution is still only gathering steam. As Jensen Huang put it, “the buzz is: everything [is] sold out” when it comes to AI chips reuters.com – a reminder that demand far outstrips supply in this gold rush. Companies worldwide are racing to build AI capabilities, whether it’s a factory installing AI vision systems or a bank deploying AI chatbots. This foundational investment phase is likely to continue regardless of short-term market moves.
For investors, the past 48 hours were a microcosm of what AI stocks offer: huge upsides (Alibaba’s gain) and bouts of downside volatility (Nvidia’s slip), all unfolding at a lightning pace. It’s a volatile cocktail of tech, money, and speculation. But as September begins, the markets have delivered a clear message: AI remains the driving narrative of 2025, and staying informed on each twist – from earnings to government edicts – will be critical in navigating the road ahead.
Sources:
- Reuters – “Morning Bid: China markets latest to get AI fever” (Sep 1, 2025) reuters.com reuters.com
- Reuters – “Asia stocks suffer tech jitters, China plays its own game” (Sep 1, 2025) reuters.com reuters.com
- Bloomberg – “Alibaba’s AI Revenue Surge Triggers $50 Billion Stock Rally” (Aug 31/Sep 1, 2025) bloomberg.com
- Reuters – “China’s Alibaba develops new AI chip to help fill Nvidia void, WSJ reports” (Aug 29, 2025) reuters.com reuters.com
- Georgia Public Broadcasting/NPR – “AI and Nvidia have been bright spots… but there are doubts now” (Aug 30/31, 2025) gpb.org gpb.org
- Reuters – “Nvidia CEO says AI boom far from over after tepid sales forecast” (Aug 28, 2025) reuters.com reuters.com
- Reuters – “Palantir shares jump as soaring AI demand powers forecast upgrade” (Aug 8, 2025) theguardian.com
- TipRanks – “The Week That Was… August 31, 2025” (Aug 31, 2025) tipranks.com
- Investopedia – “AI Stock Rally Stumbled This Week… 3 Reasons to Stay the Course” (Aug 22, 2025) investopedia.com investopedia.com
- TechCrunch – “Meta partners with Midjourney on AI image and video models” (Aug 22, 2025) techcrunch.com techcrunch.com
- ETF.com – “Investors Are Pouring Into Dan Ives’ AI ETF (IVES), Now Over $500M” (Aug 29, 2025) etf.com etf.com
- The Guardian – “Is the AI bubble about to burst…?” (Aug 23, 2025) theguardian.com theguardian.com
- Nasdaq/Zacks – “Ambarella Stock Soars 19% as Q2 Earnings Crush Estimates” (Aug 29, 2025) nasdaq.com nasdaq.com
