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The value is not just the list of recommendations. It is the process behind them: narrowing the field, focusing on quality and mega trends, using money flows for timing, and managing risk when the evidence changes.
This week’s update at a glance
What you’ll learn
The thinking shift
The bears have had plenty to cheer about. Some of the biggest AI names have been marked down severely, and questions about the financing of the enormous infrastructure build-out are legitimate. But the conclusion that the entire AI trade is a speculative bubble is a much bigger claim than the recent price action alone can support.
My focus is on separating stocks with genuine financial or fundamental problems from those being sold because sentiment has turned against the whole group. Neither a sell-off nor a strong earnings forecast guarantees the next move. We need to understand the evidence, then let the market show us when the balance between buyers and sellers has changed.
The numbers missing from the victory speech
The common bearish argument is that US indices rose because investors simply kept paying more for every dollar of earnings. In the video I compare the 2026 rise in index prices with the change in estimated future earnings. On the figures shown, the S&P 500 was up about 13%, while forward earnings expectations had risen 32.8% - implying forward P/E compression of nearly 15%. The comparable figure for the NASDAQ was around 22%.
That is not what an advance driven purely by multiple expansion looks like. However, there is an essential qualification: these are forward earnings estimates, not earnings already delivered. Forecasts can disappoint and valuations can compress further. The figures challenge a simplistic bubble narrative; they do not prove that prices have reached a bottom or that all AI stocks are attractively valued.
Where the bearish case has substance
The biggest pressure point is increasingly funding. Some AI infrastructure businesses have meaningful credit exposure, and cash conversion has begun to weaken for some hyperscalers. Neocloud business models are generally more exposed to a tightening of financing conditions than better-funded parts of the AI supply chain. Weak company outlooks and deteriorating share-price trends cannot simply be dismissed.
Friday’s NASDAQ breadth was ugly, with declining stocks outnumbering advancers by roughly three to one. Some communication-services charts also look distinctly weak. Yet smaller companies and the equal-weight S&P 500 held up better, while healthcare and utilities have been attracting capital. To my eye, that continues to suggest a substantial degree of rotation, rather than confirmed wholesale abandonment of US equities.
Where I’m focused now
Important information
Any advice in this video is general advice only. Neither your personal objectives, financial situation or needs have been taken into consideration. Accordingly you should consider how appropriate the advice (if any) is to those objectives, financial situation and needs, before acting on the advice. Garry Davis (AR No:317590) is an authorised representative of Primary Securities Ltd (AFSL No. 224107).
Note to traders* The publishers of this article/information/promotion wish to disclose that they may hold stocks mentioned in their portfolios and that any decision to purchase those stocks should be made only after the purchaser has made their own enquiries as to the validity of any information in this article/information/promotion.
Past performance should not be taken as an indicator of future returns. Trading and investing in financial markets involves risk of losing money.
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