Razvan Ceapa
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AI sell-off tests our chokepoint strategy

Blogger edition published 19 October 2026. Original publication dates are preserved; the website import date is not used.

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Historical article. Figures, holdings and views reflect the original publication, not current conditions. Claims are preserved, not independently revalidated. Capital at risk.


Weekly review: 12–16 October 2026. Snapshot: 17 October.

Executive summary

Our portfolio is up 15.06% year to date and 103.48% since January 2024, after a 10.02% loss last week. That is a serious setback, and it deserves the same scrutiny as our gains. Strong semiconductor demand continues to support our investment thesis, but our concentration leaves several holdings exposed to the same reassessment of AI spending, financing and valuation.

The week brought both sides of that argument into view. ASML and TSMC reported strong revenue, while concerns about financing AI infrastructure weighed on the sector. Our task is to test whether scarce capacity can translate into profitable growth, without assuming that good businesses are protected from large share-price falls.

Original published article illustration

The scorecard puts the setback in context

The figures below show our portfolio, the S&P 500 and the Nasdaq-100, in that order:

  • Week: -10.02% / -2.00% / -5.63%
  • October month to date: -8.66% / -0.10% / -4.27%
  • 2026 year to date: +15.06% / +11.84% / +15.77%
  • Since January 2024: +103.48% / +57.57% / +69.57%

We now trail the Nasdaq-100 by 0.71 percentage points this year, while leading the S&P 500 by 3.22 points. Our longer-term lead over both remains substantial. The weekly loss belongs in that record alongside the gains.

Concentration creates shared risk

Nine chip-related positions account for 64.77% of our displayed holdings by value. NVIDIA and ASML alone represent 25.08%. Although the portfolio contains 16 holdings, several depend on the same AI spending cycle.

This concentration gives us a direct stake in scarce manufacturing and compute capacity. It also means that a change in expectations can affect several businesses at once. A broad reassessment of customer budgets can reach across the chain, from equipment and fabrication to the chips themselves.

The number of stocks is therefore only part of the risk picture. We also need to consider how much of their future revenue depends on the same customers continuing to fund expansion.

Strong demand meets funding fears

US consumer inflation reached 3.7% year on year in September, while producer prices rose 1.3% month on month. Concerns about AI financing also resurfaced alongside selling in chip shares and buying of US Treasuries. Our reading is that the market is demanding clearer proof that large infrastructure bills will produce cash returns.

The earnings evidence was encouraging. TSMC reported third-quarter revenue of US$46.72 billion, up 41.2% year on year in US-dollar terms. ASML reported €11.7 billion in sales and said planned supply for 2027–28 would fall short of customer demand forecasts.

This supports our “Economics of Chokepoints” thesis: own the toll booths where scarce capacity gives suppliers bargaining power. That scarcity has physical and financial foundations. Building chipmaking equipment takes time, and ramping new production carries costs. TSMC’s gross margin fell 1.3 percentage points from the second quarter as its 2nm ramp weighed on profitability.

Strong demand supports the business case. The return we earn still depends on the price we pay, execution and customers’ ability to fund expansion. Customer demand forecasts can also change. We should assess them as forecasts, rather than treating them as assured future revenue.

Recent additions need different tests

Moderna shows an open-position gain of 16.34% and a 6.43% weight in displayed holdings value. Palantir shows an open-position loss of 3.12% and a 5.45% weight on the same basis. These figures measure gains or losses on open positions, not their returns during the review week.

The two positions extend our exposure into medicines and enterprise data, but they require different evidence. For Moderna, the focus is clinical progress and cash use. For Palantir, it is growth, cash generation and valuation. An early gain does not settle an investment case, and a short-term loss does not remove the need to test it carefully.

The week ahead: follow the cash and the shared exposure

We remain focused on orders turning into revenue, revenue turning into cash, and how much shared risk sits across the portfolio. Delayed customer spending or lower valuation multiples could create further losses even if demand keeps growing.

Our record includes this drawdown. The responsibility now is to keep testing the thesis against new evidence and make position size reflect both conviction and risk.

How to follow or copy this portfolio

If this approach fits your horizon and risk tolerance, review the holdings, performance and risks on Razvan Ceapa’s eToro Popular Investor profile, razvancd, then use Copy if you decide the portfolio suits you.

Razvan’s recommended starting amount is $500, not a platform minimum. Your entry timing, position coverage, execution and returns may differ.

Copy Trading is not investment advice | Capital at risk | Past performance does not guarantee future results

eToro version · 19 October 2026

This published adaptation is preserved in full alongside the Blogger article.

Original eToro publication →

𝗔𝗜 𝘀𝗲𝗹𝗹-𝗼𝗳𝗳 𝘁𝗲𝘀𝘁𝘀 𝗼𝘂𝗿 𝗰𝗵𝗼𝗸𝗲𝗽𝗼𝗶𝗻𝘁 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 | 𝗬𝗧𝗗 +𝟭𝟱.𝟬𝟲% | 𝗦𝗶𝗻𝗰𝗲 𝗝𝗮𝗻 𝟮𝟬𝟮𝟰 +𝟭𝟬𝟯.𝟰𝟴% Our portfolio is up +15.06% YTD and +103.48% since January 2024, after a -10.02% week. That is a serious setback, and it deserves the same scrutiny as our gains. Weekly review: 12–16 October 2026. Snapshot: 17 October. 𝗧𝗵𝗲 𝘀𝗰𝗼𝗿𝗲𝗰𝗮𝗿𝗱 Order: our portfolio / $SPX500 / $NSDQ100. • 𝗪𝗲𝗲𝗸: -10.02% / -2.00% / -5.63% • 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝗠𝗧𝗗: -8.66% / -0.10% / -4.27% • 𝟮𝟬𝟮𝟲 𝗬𝗧𝗗: +15.06% / +11.84% / +15.77% • 𝗦𝗶𝗻𝗰𝗲 𝗝𝗮𝗻 𝟮𝟬𝟮𝟰: +103.48% / +57.57% / +69.57% We now trail the Nasdaq-100 by 0.71 percentage points this year, while leading the S&P 500 by 3.22 points. Our longer-term lead over both remains substantial. 𝗪𝗵𝘆 𝘄𝗲 𝘄𝗲𝗿𝗲 𝗲𝘅𝗽𝗼𝘀𝗲𝗱 Nine chip-related positions account for 64.77% of our displayed holdings by value. $NVDA and $ASML alone represent 25.08%. Our 16 holdings share more exposure to the AI spending cycle than the stock count suggests. That concentration gives us a direct stake in scarce manufacturing and compute capacity. It also leaves several holdings exposed to the same change in market expectations. A broad reassessment of AI budgets can hit the whole chain at once. 𝗦𝘁𝗿𝗼𝗻𝗴 𝗱𝗲𝗺𝗮𝗻𝗱 𝗺𝗲𝗲𝘁𝘀 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝗳𝗲𝗮𝗿𝘀 US consumer inflation reached 3.7% year on year in September, while producer prices rose 1.3% month on month. Concerns about AI financing also resurfaced, alongside selling in chip shares and buying of US Treasuries. My reading: the market is demanding clearer proof that huge infrastructure bills will produce cash returns. The earnings evidence was encouraging. $TSM reported Q3 revenue of $46.72bn, up 41.2% in US dollars year on year. ASML reported €11.7bn in sales and said planned supply for 2027–28 would fall short of customer demand forecasts. This supports my "Economics of Chokepoints" thesis: own the toll booths where scarce capacity gives suppliers bargaining power. Building chipmaking equipment takes time, and ramping new production carries costs. TSMC's gross margin fell 1.3 percentage points from Q2 as its 2nm ramp weighed on profitability. Strong demand supports the business case. The return we earn still depends on the price we pay, execution and customers' ability to fund expansion. Good companies can suffer large share-price falls. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗮𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝘀: 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 Moderna shows +16.34% open-position P/L and a 6.43% weight. Palantir shows -3.12% and a 5.45% weight. Those figures measure gains or losses on open positions, not last week's returns. They extend our exposure into medicines and enterprise data. Each needs its own test: clinical progress and cash use for Moderna; growth, cash generation and valuation for Palantir. An early gain does not settle the investment case. 𝗧𝗵𝗲 𝘄𝗲𝗲𝗸 𝗮𝗵𝗲𝗮𝗱 I remain focused on orders turning into revenue, revenue turning into cash, and how much shared risk sits across the portfolio. Delayed customer spending or lower valuation multiples could create further losses even if demand keeps growing. Our record includes this drawdown. My task is to keep testing the thesis against new evidence and make position size reflect both conviction and risk. 𝗖𝗼𝗽𝗶𝗲𝗿 𝗕𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 I manage this portfolio as an eToro Popular Investor. If this approach fits your horizon and risk tolerance, review my holdings and risks, then use Copy on my profile. My recommended starting amount is $500, not a platform minimum. Your entry timing, position coverage, execution and returns may differ. Copy Trading is not investment advice | Capital at risk | Past performance does not guarantee future results
Copy Trading is not investment advice | Capital at risk | Past performance does not guarantee future results. Full disclosures.