3 of our stocks surged in the AI trade came back. 3 others stumbled

cnbc.com Aug 14, 2026

3 of our stocks surged in the AI trade came back. 3 others stumbled

Curated by Shubham · TechCapsules · Aug 14, 2026

AI-summarised brief · reviewed before publication

Jim Cramer reviewed his 32‑stock portfolio during the August monthly meeting, noting that three AI‑related stocks surged while three others fell. He highlighted five stocks he recommends buying, citing recent earnings and sector momentum. Cramer also reflected on two past mistakes, using Gene Hackman’s advice to frame them as learning opportunities. The session included a rapid‑fire update on each holding, with commentary on valuation, growth prospects, and potential catalysts for the next quarter.

💡 Why It Matters

· The AI rally underscores the sector’s continued investor appetite, while the losses signal volatility that could reshape portfolio strategies.
· Cramer’s candid mistake analysis offers a rare glimpse into how top analysts adjust tactics in a rapidly shifting market.

Capsules Investment

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Fox News AI Newsletter: One year until AI market busts, investor says

Dan Niles, founder of Niles Investment Management, warned that the artificial‑intelligence market is likely to collapse within a year, citing overvaluation and unsustainable growth. He shared this view on Fox Business’s “Making Money” program. The comment follows Fox News’ AI newsletter, which also highlighted Meta CEO Mark Zuckerberg’s plan to democratize superintelligent AI and noted North Texas’s rise to the top of a global data‑center ranking. The newsletter’s coverage underscores the rapid expansion of AI infrastructure and the potential volatility in the sector.

💡 Niles’ prediction signals a looming correction that could reshape investment strategies and regulatory focus in the AI industry.

cnbc.com · Aug 14

Anthropic CFO Krishna Rao is leading early IPO meetings with investors and…

Anthropic’s chief financial officer, Krishna Rao, is steering early investor meetings as the company prepares for a potential initial public offering. The discussions remain high‑level, focusing on the company’s Claude AI models, the development of Claude Code, and its management structure, while deliberately avoiding any talk of financials or valuation. Sources told CNBC’s David Faber that the meetings have not yet addressed specific numbers, indicating a cautious approach as Anthropic navigates the IPO process. The company filed its confidential prospectus with the SEC in June, setting the stage for a highly anticipated market debut.

💡 By withholding valuation details, Anthropic signals a strategic pause, allowing it to gauge investor appetite without committing to a price point. This approach could reshape how AI firms approach public listings, balancing transparency with tactical flexibility.

analyticsinsight.net · Aug 14

Top 5 Cryptos to Buy Before the Next Bull Run

Investors seeking the highest returns in the next crypto bull run are advised to accumulate assets while prices remain depressed, according to a market outlook that identifies the current environment as a rare pre‑momentum window. The article recommends a diversified five‑coin strategy that pairs a low‑priced, early‑stage token with four established networks. Leading the list is BlockDAG (BDAG), offered through a 25‑stage presale starting at $0.002 and projected to reach $0.10, promising a potential 50‑fold return. BDAG distinguishes itself with an operational blockchain, a live casino product, active hardware deliveries, and a forthcoming exchange and Super App, backed by $100 million in launch liquidity. The piece also highlights Chainlink’s role as essential oracle infrastructure supporting real‑world asset tokenization and institutional DeFi.

💡 Early‑stage presales like BDAG can deliver outsized gains unavailable from mature coins, while established infrastructure tokens such as Chainlink anchor the broader ecosystem’s growth.

247wallst.com · Aug 14

Understand How Coherent and Lumentum Bypass an AI Bottleneck With Optics

Optical suppliers Coherent and Lumentum reported strong fourth-quarter earnings, driven by the AI industry’s shift from copper to optical connectivity. Coherent posted $2.045 billion in revenue, a 33.7% year-over-year increase, with its Datacenter & Communications segment growing 59%. The company beat non-GAAP EPS estimates by 7.60%. Lumentum reported $1.006 billion in revenue, surging 109.3% annually, while achieving a 50.4% non-GAAP gross margin. Both companies exceeded expectations as AI clusters require higher data transfer speeds. Coherent leverages vertical integration, owning the full module stack, while Lumentum focuses on high-margin laser components. Coherent guided Q1 FY27 revenue to $2.20 billion–$2.40 billion. Lumentum projected $1.225 billion–$1.275 billion with operating margins of 39.5%–40.5%. Investors are monitoring whether Coherent’s scale and Lumentum’s margin expansion will sustain as optical interconnects become critical infrastructure for next-generation AI datacenters.

💡 The divergence in business models reveals two distinct paths to capturing value in the optical interconnect market. Coherent bets on volume through vertical integration, while Lumentum prioritizes high-margin component specialization. This split determines which strategy yields superior returns as AI infrastructure scales.

247wallst.com · Aug 14

Michael Burry Sounds the Alarm Again: AI Is a Circular Financing Web…

Michael Burry has warned that the artificial intelligence sector relies on a circular financing web, with Nvidia at its center. Citing a Bloomberg diagram, Burry highlighted that while AI revenue appears robust, free cash flow remains negative. The analysis traces approximately $46 billion in equity stakes and $879 billion in multi-year purchase commitments among major tech firms including Microsoft, Oracle, Amazon, Google, Meta, and OpenAI. Oracle committed $300 billion to OpenAI, while Microsoft pledged roughly $250 billion. OpenAI subsequently committed $90 billion to AMD and took an equity stake in Nvidia. Nvidia, valued at $5.4 trillion, connects to every entity in this network as either an investor or customer. This structure allows the same capital to register as revenue at multiple stages. The Bank for International Settlements recently warned that hyperscaler debt for AI infrastructure is outpacing balance sheet growth. Corporate America is projected to invest $770 billion in AI infrastructure by 2026. Nvidia CEO Jensen Huang dismissed the circular financing label as ridiculous, though the interconnected commitments raise questions about the true source of funding driving these massive expenditures.

💡 Interconnected corporate commitments inflate revenue figures without generating genuine economic value, masking underlying liquidity risks. Investors must scrutinize whether these financial flows represent sustainable growth or a fragile house of cards built on shared debt.

247wallst.com · Aug 14

Wall Street Is Treating Nvidia GPUs Like Forever Cash-Flow Machines. Here’s What…

Wall Street is reevaluating Nvidia GPUs as enduring cash-flow assets rather than depreciating hardware, challenging traditional technology investing models. Historically, data center equipment was viewed as a wasting asset with a five- or six-year lifespan. However, sustained high rental prices and demand for older chips like the A100 suggest a shift in residual value. Silicon Data benchmarks indicate that newer generations maintain pricing strength, disrupting standard depreciation curves. This trend supports neocloud companies like CoreWeave, which reported a $104.2 billion backlog in its second-quarter results, alongside over $25 billion in additional customer commitments. Total contracted demand now exceeds $129 billion. While this creates re-rating opportunities for firms built around Nvidia hardware, it introduces significant risk. If alternative AI chips erode Nvidia’s scarcity advantage, the asset-class thesis could unwind rapidly, exposing investors to sudden valuation corrections in this emerging market segment.

💡 Investors are betting on perpetual hardware value, a dangerous assumption that ignores the cyclical nature of semiconductor innovation. If competitors break Nvidia’s monopoly, the entire financial model for neocloud providers collapses overnight.