Reformulating the "Magnificent Seven": 2 Stocks I'd Swap Out for Ultimate Upside

The article argues for reconstituting the 'Magnificent Seven' by replacing Apple with Taiwan Semiconductor and Tesla with Broadcom to better reflect AI leadership. It highlights TSMC's expected 25% CAGR from 2024 to 2029 and Broadcom's projected 63% FY2026 growth and 52% FY2027 growth, alongside $2T market cap and $25B in trailing net income. The piece is opinion-driven rather than news about a fresh corporate event, so near-term market impact is limited.

Analysis

The market is being asked to re-rate the AI stack from a “model winner” trade into a “picks-and-shovels with pricing power” trade. That is constructive for TSM and AVGO because both sit in the highest-leverage bottlenecks: advanced packaging, wafer capacity, and custom silicon design wins. The second-order effect is that capital will likely rotate from consumer/platform AI optionality into infrastructure names with clearer monetization and shorter cash-conversion cycles, while legacy mega-cap names with weaker AI product cadence get penalized on relative basis.

TSM’s edge is not just volume growth; it is scarce process leadership that becomes more valuable as AI accelerators diversify beyond one dominant architecture. If custom ASIC adoption broadens, TSM should benefit from a wider customer set and reduced single-client concentration risk, but the market may underappreciate that this also tightens supply for everyone else, sustaining pricing power longer than consensus expects. AVGO’s opportunity is more levered: every incremental custom-chip win creates annuity-like design-in revenue and deepens switching costs, making it a structural share-gainer even if headline AI spending slows.

The contrarian risk is that the trade may be too cleanly extrapolated. TSM and AVGO are now crowded “AI infrastructure” consensus longs, so any digestion in hyperscaler capex or a delay in custom silicon ramps could trigger multiple compression faster than earnings estimates reset. The weakest link is TSLA: the issue is not simply near-term fundamentals, but that it is becoming a funding source for AI enthusiasm elsewhere as investors rotate out of low-quality optionality into higher-certainty compounders.

Base case horizon is 3-12 months: the market should continue rewarding direct AI monetization and penalizing companies relying on AI narrative alone. A near-term catalyst set is earnings guidance from hyperscalers and foundry capacity commentary, which will either confirm that AI demand is broadening or expose how concentrated the spend still is. If capex inflects down even modestly, AVGO is more exposed than TSM because of its higher expectations and richer growth multiple.

Key Decisions for Investors

• Overweight TSM vs AAPL on a 6-12 month horizon; use TSM as the cleaner AI infrastructure proxy while AAPL remains a multiple-risk name until product-level AI adoption shows measurable monetization.
• Go long AVGO on pullbacks, but size smaller than TSM; upside remains high if custom ASIC wins persist, yet the market is already pricing a strong AI acceleration path, so use a tighter risk budget.
• Pair trade: long TSM / short TSLA for 3-6 months. This expresses a rotation from low-quality AI-adjacent optionality into scarce semiconductor capacity with better earnings visibility.
• For tactical exposure, buy TSM or AVGO call spreads into hyperscaler earnings over the next 1-2 quarters; the setup is best if capex commentary confirms continued AI infrastructure spending.
• If AVGO rallies sharply on guidance, take partial profits into strength; the name is increasingly a consensus AI winner, so upside may be more time-bound than TSM’s.