The strongest evidence would be sustained growth in AI-related revenue and free cash flow that outpaces the growth in AI capex. Revenue growth alone is not enough. Companies can generate more AI sales while spending even faster on GPUs, data centres and power. I would look for rising utilisation of AI infrastructure, improving operating margins and, ultimately, higher free cash flow and ROIC. If hyperscalers can show that each additional dollar of AI investment is producing growing incremental cash returns, the spending cycle becomes much easier to justify. For me, improving ROIC alongside accelerating free cash flow would be the clearest sign that AI capex is creating economic value rather than simply fuelling an expensive infrastructure race.

I would focus on TSMC’s capacity execution and Nvidia’s order trajectory rather than wait for perfect clarity on AI capex returns. TSMC’s strong revenue, profit and 58.7% operating margin suggest AI demand is still translating into real earnings, not merely investment promises. Higher capex is therefore not automatically bearish if new capacity remains highly utilised and generates attractive returns. The bigger risk is downstream. If hyperscalers keep spending heavily but AI monetisation fails to catch up, Nvidia orders could eventually weaken and TSMC’s new capacity could face lower utilisation. I would watch three signals closely: Nvidia order growth, TSMC advanced-node utilisation and hyperscaler AI returns. As long as all three remain healthy, the AI semiconductor thesis remains credi

B. the party is just starting.

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For me, it’s sustainable free cash flow growth. 💰 Revenue growth is encouraging, but AI companies need to show that the money invested in chips, data centres and power is generating real returns. Spending billions is easy to announce; proving it pays off is the real test. 📊

🅲 I’d be selective. AI still has huge potential, but some stocks may have already priced in years of growth. TSMC’s strong earnings are encouraging, yet investors also need to watch rising costs and valuations. I’d rather own companies that can prove their growth through real profits than chase every stock riding the AI wave.

The market: hotter producer prices moved money out of technology and into value sectors $SPDR S&P 500 ETF Trust(SPY)$ rose 0.28 per cent to US$771.79 on Thursday, while $Invesco QQQ(QQQ)$ fell 0.13 per cent to US$728.00. September PPI increased 1.3 per cent from the previous month, above the market's 0.6 per cent expectation and faster than August's 0.4 per cent rise. Wholesale inflation reached 6.3 per cent from a year earlier, with energy prices the main driver. Renewed upstream price pressure reduced expectations for rate cuts and highly valued technology shares. The broad market did not fall with technology because money moved towards financials, consumer companies an

Record profits are impressive. Turning record investment into sustainable returns is the bigger challenge. TSMC just reported a record quarterly net profit of NT$763.1 billion, up 68.7% year over year. Revenue climbed 50.9% to NT$1.49 trillion, while operating margin reached 58.7%, beating guidance. The company also forecast Q4 revenue of US$52.3–54.3 billion. Yet TSMC and Nvidia shares fell.  Why the disconnect? 1. Strong demand is not the same as guaranteed returns. TSMC is benefiting from demand for advanced chips, but its customers must still justify the enormous cost of building AI infrastructure. If AI revenue grows more slowly than computing costs, spending plans could eventually be reconsidered. 2. The investment bill keeps rising. TSMC expects 2026 capital expenditure of US$60–64

C — Strong AI demand doesn’t mean every AI stock is worth buying at any price. TSMC’s record profits and upbeat guidance show the demand is real, but rising capex, valuation risks and uncertainty over future returns matter too. I’d focus on companies that can turn AI spending into sustainable earnings and cash flow, rather than chasing the hype.

$Taiwan Semiconductor Manufacturing(TSM)$  delivered another blockbuster quarter. Yet TSMC and $NVIDIA (NVDA)$ fell as investors continued selling semiconductor stocks. If AI demand is so strong, why isn’t the market celebrating? 📊 1. The numbers are impressive TSMC’s third-quarter 2026 results showed just how powerful the AI chip boom has become: 🔥 Revenue reached NT$1.494 trillion, up 50.9% year over year. 🔥 Net profit hit NT$763.1 billion, up 68.7%. 🔥 Operating margin reached 58.7%. 🔥 Fourth-quarter revenue guidance came in at US$52.3–54.3 billion, above the previous quarter’s level. These aren’t the numbers of a business experiencing an obvious demand collapse. TSMC continues to benefit from demand for advanced chips used in AI infras

🅲 It depends. I'd be more selective about which AI stocks I own. TSMC’s results reveal an important distinction: AI demand can remain strong while stocks deliver disappointing returns. Revenue surged 41%, profits hit a record, and fourth-quarter guidance exceeded expectations. Yet the stock fell. Investors now want proof that massive AI investments can generate sustainable returns. The risk isn't that AI demand disappears, but that expectations and valuations have risen so high that even excellent earnings may disappoint. AI infrastructure companies also face rising costs and uncertain returns. I'd favor businesses with strong cash flows, pricing power, and visible earnings growth over companies relying on debt and distant profit projections. My view: AI remains a long-term opportunity, bu

I would choose C. I believe AI demand is still strong, but the market is becoming more selective about valuations, profitability, and how much future growth is already priced in. TSMC delivered excellent results and raised its outlook, yet the stock still fell as investors questioned whether current AI spending levels are sustainable. For me, strong earnings alone are not enough. I want to see companies turn AI demand into sustainable revenue, earnings growth, and cash flow. Semiconductor companies may benefit from the long-term AI trend, but their valuations and execution risks differ, so I would not treat every AI stock equally. I will continue focusing on companies with solid fundamentals and long-term growth potential, while using pullbacks to accumulate gradually rather than chasing

TSMC’s results make me reluctant to cut semiconductor exposure after the sell-off. Record profit and strong guidance suggest the underlying AI chip demand story remains intact, even if valuations and higher rates are creating much more volatility. Among the choices, I would favour Nvidia first. TSMC’s strong leading-edge demand supports the view that AI accelerator spending has not collapsed. AMD is worth watching, but I would want clearer evidence that its order growth and market-share gains are translating into sustained earnings before becoming more aggressive. The bigger caution is SOXL. A 13% one-day fall shows how quickly 3x leverage can punish investors when semiconductor sentiment turns. Even if the long-term AI thesis remains intact, leveraged ETFs add another layer of timing risk

A single-day plunge of ~13% in the Direxion Daily Semiconductor Bull 3X Shares (SOXL) illustrates the extreme structural amplification inherent in 3x daily leveraged ETFs. While major anchor components like Taiwan Semiconductor Manufacturing Company (TSMC) may exhibit operational resilience, strong fundamentals alone cannot insulate the semiconductor sector during systemic market pullbacks. In this article, we would like to discuss what are the key drivers behind SOXL’s de-risking and potential catalysts for recovery. 1. The Leverage Architecture: Unpacking a 13% Single-Day Decline To comprehend a severe ~13% daily decline in SOXL, one must first dissect the structural mechanics of the underlying exchange-traded product. SOXL aims to deliver 300% (3x) of the single-day price performance of

Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions.‌ $Technology Select Sector SPDR Fund(XLK)$ $Roundhill Memory ETF(DRAM)$ $VanEck Semiconductor ETF(SMH)$ $Utilities Select Sector SPDR Fund(XLU)$ $Communication Services Select Sector SPDR Fund(XLC)$ So the real bloothbath finally started today, with 80 billion dollars wiped out from the AI sector in a single day. The sector did bounce back a little towards end of trading day, but could this be a start of a bearish momentum carrying into en

📉🐶 Every Plunge Is an Opportunity? My Take on SOXL, TSMC and QQQ 🐶 1️⃣ Every Plunge Is an Opportunity — But Only If Earnings Can Hold Up When I see semiconductor stocks plunge, I don’t automatically assume the AI story is over. Sometimes, the market is simply repricing growth stocks because inflation is hotter than expected, interest rates may stay higher for longer, or investors are becoming nervous about how much money companies are spending on AI. But I always ask myself one important question: Are company earnings deteriorating, or is the market simply becoming more fearful? If earnings expectations remain strong, a sharp price decline can create an opportunity to buy quality companies at a more attractive valuation. However, if earnings forecasts are being cut, a stock can continue fa

The market: inflation returned as AI hardware faced both rate and earnings pressure The $S&P 500(.SPX)$ fell 1.11 per cent to 7,718.94 on Wednesday, while $Invesco QQQ(QQQ)$ lost 1.97 per cent to close at US$728.95. Headline CPI rose 3.7 per cent from a year earlier in September, above the market's 3.6 per cent expectation and August's 3.4 per cent reading. The return of inflation pushed rate expectations higher, and technology fell substantially more than the broader market. As rate expectations move higher, the present value of future earnings falls; the more a share price depends on growth further into the future, the greater the valuation pressure. AI hardware also f

Record profits are not enough to guarantee a stock market rebound. On 14 October, $SOXL$ plunged 13.35% as semiconductor stocks sold off amid hotter US inflation and concerns about the returns on massive AI investments. Then came a crucial test: $TSM$ reported its Q3 results on 15 October, delivering record profits and beating expectations. So, does this create a buying opportunity, or is the market warning investors to be more cautious? 📊 1. TSMC’s results are strong. But what comes next? TSMC reported: • Revenue: NT$1.494 trillion, up approximately 50.9% year-on-year. • Net profit: NT$452.3 billion? No—TSMC reported approximately NT$452.3 billion in Q3 2025, while its Q3 2026 net profit was approximately NT$763.1 billion, up 68.7% year-on-year. • Q4 revenue guidance: US$52.3–54.3 billion