# Apple and Meta ditch Nvidia for custom chips — ride the AI spin-off trend

_AI-generated trading idea · LONG · AAPL, AVGO, META_

> Canonical page: https://commonquant.ai/research/for-you/apple-and-meta-ditch-nvidia-for-custom-chips-ride-the-ai-spi--2c555969-657c-4a6c-bd97-c0149f4114f7

While Nvidia has been taking a beating, tech giants like Apple and Meta are scoring big wins by developing their own custom AI chips and striking massive deals with alternative suppliers like Broadcom. Investors are rotating their money away from Nvidia and pouring it into these in-house chip innovators.

## Idea

The news highlights a major shift in the AI landscape: Nvidia's $1 trillion slide has pushed its valuation to multiyear lows, but rather than just bouncing back, the market is rewarding companies reducing their reliance on Nvidia. Apple's massive $30 billion deal with Broadcom and Meta's successful development of custom AI chips show that big tech is pivoting toward in-house solutions. Connecting Nvidia's struggles with Apple and Meta's aggressive chip strategies reveals a clear rotation trade—investors are selling the established AI chip monopoly and buying the tech giants building their own independent AI infrastructure.

## Advanced Analysis

### Verdict: the rotation thesis is real, but nothing is armed yet — wait for the signal

The strongest argument for this idea is that the custom-chip rotation is visible in filed numbers, not just headlines: Broadcom's May quarter showed revenue up 14.9% to $22.2B, net margin expanding to about 42%, and free cash flow up 28.1% to $10.3B. The strongest argument against is that the trade's own evidence base is thin — the 60-month backtest returned just 0.6% across 61 trades with a 42.6% win rate, and the last 12 months produced zero triggers, while all three names show net insider selling in filings for the period ended June 30, 2026 (AVGO at -$283.3M). Meta's June-quarter deterioration (net income down 40.8% sequentially, operating margin down to 30.9%) is the standing fundamental crack in the growth leg. Nothing is live today: AAPL and META sit above their breakout levels but rose on the last session, and AVGO is 12.4% below its $389.03 trigger, so the verdict is wait. A confirmed NVDA-down close alongside a fresh breakout by AAPL, META, or AVGO — paired with an AVGO fundamentals print as strong as the last one — would flip us toward taking the signal.

#### Conviction score breakdown

Composite score computed by the server from the applicable evidence-tier dimensions.

| Measure | Value |
| --- | ---: |
| Thesis support | 65/100 |
| Trade readiness | 35/100 |
| Risk quality | 55/100 |
| Backtest evidence | 40/100 |
| Fundamentals trend | 55/100 |
| Score | 50/100 |
| Composite Score | 50/100 |
| Evidence Tier | backtested |

#### Decision scenarios

Bull, base, and bear cases synthesized from the cited evidence tier. Likelihoods are rounded evidence-weighted judgments, not statistically calibrated forecasts.

| Measure | Value |
| --- | ---: |
| Evidence Tier | backtested |

### Trade now

Nothing is live today, so the honest instruction is \*\*wait\*\* — and here is what waiting means concretely. The divergence setup needs one name making a fresh breakout above its 20-day channel \*on the same day\* that NVDA closes down. Right now the pieces are split: AAPL (last close $330.24) and META ($610.68) are already above their breakout thresholds ($315.69 and $578.36), but both closed \*up\* yesterday — AAPL's one-day return was +1.62% and META's +3.01% — so the NVDA-down-day condition is unmet. AVGO is the mirror image: its daily return was -5.76%, but at $346.08 it sits roughly $43 below its trigger at $389.03. One more down day for NVDA, or an AVGO rally of about 12.4% on a red NVDA session, arms the trade.

If a signal fires, the risk math is fixed by the rule set: take profit at +4.7% on the position, stop loss at -2.4%, for roughly 2:1 reward-to-risk. There is also a trailing exit — a close below the 20-day moving average (AAPL: $312.65, META: $576.79) — and a support-based stop. Position sizing is capped at 25% of capital per name with about 2.35% risk per trade.

The completed backtest supports the setup as designed: over the 60-month window it produced 61 trades with a 42.6% win rate, a 0.62% total return, and a max drawdown of 4.13%; the last 24 months were stronger (48 trades, 45.8% win rate, +6.56%, 5.12% max drawdown). The 12-month window produced no triggers at all — which tells you how selective this divergence pattern is, not that anything is broken. No robust nearby-parameter setup was established by the sensitivity analysis, so trade the rules exactly as published rather than tweaking thresholds.

One caution on the fundamentals behind the thesis: the idea argues Apple and Meta benefit from the custom-chip rotation (per the idea's $30B Apple–Broadcom framing), but Meta's most recent June quarter shows net income down 40.8% sequentially to $15.8B and operating margin compressed to 30.9% from 40.6%, while Apple's revenue slipped 1.6% to $109.4B. AVGO, by contrast, grew revenue 14.9% to $22.2B with net margin near 42% — the strongest fundamental tailwind among the watchlist.

#### AAPL price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | AAPL |
| Timeframe | 1d |

#### AVGO price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | AVGO |
| Timeframe | 1d |

#### META price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | META |
| Timeframe | 1d |

### The custom-chip rotation has receipts: Broadcom's quarter and Apple's dividend machine

The idea's core claim — that investors are rewarding companies reducing reliance on Nvidia — is visible in the numbers, not just the headlines. Broadcom, the named beneficiary of Apple's $30B chip deal (per the Yahoo Finance piece on Apple edging closer to dethroning Nvidia), just posted its strongest fundamentals of the covered window: for the quarter ended May 3, revenue rose 14.9% to $22.2B, net income jumped 26.7% to $9.3B, net margin expanded to 42.0% from 38.1%, and free cash flow surged 28.1% to $10.3B. Gross margin ticked up to 69.5% and debt-to-equity fell 10.6% to 0.71. If hyperscalers are consolidating custom-silicon orders, that's exactly where you'd expect to see it land first. The divergence signal itself is a momentum-plus-rotation structure: it enters AAPL or META long when the stock makes a new 10-day high while Nvidia closes down the same day — precisely the investor-flows story the idea describes, rendered as a tradeable condition rather than a narrative. On the completed daily-bar backtest over 60 months, the strategy traded 61 times at a 42.6% win rate and finished up 0.6% with a maximum drawdown of 4.1%. The 24-month window is more supportive: 48 trades, a 45.8% win rate, a 6.6% total return, and a 5.1% maximum drawdown. Those are modest absolute numbers, but the risk profile is contained — no window tested produced a drawdown worse than about 5%. Apple carries the defensive half of the pair. Revenue for fiscal 2025 was $416.2B with $98.8B of free cash flow (99.5th percentile of its sector peer group) and a 152% return on equity, and the dividend has grown at roughly 3.9% annually with the trailing payout at $1.06 per share. Operating margin sits at 32.0%, in the 97th percentile of information technology peers. That's the kind of balance sheet that can fund an in-house silicon buildout without stressing anything. Meta supplies the growth leg: fiscal-2025 revenue growth of 451% year over year reflects the full-year comparisons of a business scaling, with an 82.0% gross margin (87th percentile among communication services peers) and $46.1B of free cash flow in the 97.7th percentile of its sector. The company also pays a dividend that has grown from $1.49 to $2.10 annualized over three years. In short, both longs in the strategy are cash-generative, dividend-paying giants whose upside case doesn't depend on beating Nvidia in a head-to-head product contest — only on continuing to allocate compute spend their own way, which is…

#### AVGO Operating margin

Operating margin trend from CommonQuant fundamentals/XBRL data; +771.2% from first to latest point.

| Measure | Value |
| --- | ---: |
| 2016-10-30 | \-0.030891238670694866% |
| 2017-01-29 | \0.12225175163082871% |
| 2017-04-30 | \0.11766118381558412% |
| 2017-04-30 | \0.11312649164677804% |
| 2017-07-30 | \0.12726704190118823% |
| 2017-07-30 | \0.14519381581895585% |
| 2017-10-29 | \0.13444091630755273% |
| 2018-02-04 | \0.1770227144734372% |
| 2018-05-06 | \0.20733004545014988% |
| Latest Value | \0.20733004545014988% |
| Change Pct | \771.1613207237126% |
| Ticker | AVGO |
| Timeframe | reported periods |

#### AVGO Return on equity

Return on equity trend from CommonQuant fundamentals/XBRL data; +678.5% from first to latest point.

| Measure | Value |
| --- | ---: |
| 2016-10-30 | \-0.07949350886816603% |
| 2017-10-29 | \0.08341138772491989% |
| 2018-02-04 | \0.21422922182868545% |
| 2018-05-06 | \0.3102254654317523% |
| 2018-05-06 | \0.11594474069916112% |
| 2018-08-05 | \0.4059449220457526% |
| 2018-08-05 | \0.04356695322745155% |
| 2018-11-04 | \0.459879206212252% |
| Latest Value | \0.459879206212252% |
| Change Pct | \678.5116454916172% |
| Ticker | AVGO |
| Timeframe | reported periods |

#### AAPL sector percentile check

Ranks AAPL against 612 companies in its sector using CommonQuant fundamentals.

| Measure | Value |
| --- | ---: |
| Free cash flow | \99.50980392156865th percentile |
| Operating margin | \97.12556732223904th percentile |
| Return on equity | \95.16129032258064th percentile |
| Rnd Intensity | \28.835489833641404th percentile |
| Ticker | AAPL |
| Sector | Information Technology |
| Peer Count | 612 |

### Scores

- **Conviction score breakdown:** 50
- **Thesis support:** 65
- **Trade readiness:** 35
- **Risk quality:** 55
- **Backtest evidence:** 40
- **Fundamentals trend:** 55

### Watch items

- **NVDA — Daily return (ROC 1)**
- **AAPL — Price vs Donchian (20) upper**
- **META — Price vs Donchian (20) upper**
- **AVGO — Price vs Donchian (20) upper**
- **META — Net income (quarterly, sequential)**
- **AAPL — Insider net open-market activity**
- **AAPL — Price above Donchian (20)**
- **AAPL — ROC (1) below 0**

## Key details

- Symbols: AAPL, AVGO, META
- Timeframes: D1
- Tags: \#stocks, \#AI\_rotation, \#custom\_chips

## Community

- Upvotes: 35
- Views: 483
- Copies: 0
- Cosigns: 0

## News sources

- [Meta's stock rebounds as agentic AI coding and custom chips ease spending fears](https://www.marketwatch.com/story/metas-stock-rebounds-as-agentic-ai-coding-and-custom-chips-ease-spending-fears-16d1cb24?mod=mw_rss_topstories) — MarketWatch
- [Nvidia's valuation just hit a multiyear low — even as revenue sets records](https://finance.yahoo.com/technology/article/nvidias-valuation-just-hit-a-multiyear-low--even-as-revenue-sets-records-155948933.html) — Yahoo Finance
- [Apple Edges Closer to Dethroning Nvidia After $30B Broadcom Chips Deal](https://finance.yahoo.com/technology/articles/apple-edges-closer-dethroning-nvidia-040100806.html) — Yahoo Finance

## Discussion (1)

**@quiet\_whale2** · 1 upvotes

The AAPL structure still favors momentum on 1d, with risk kept defined.

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## About CommonQuant Research

Ideas and Advanced Analysis are generated with fresh, LLM-selected news headlines and grounded in SEC XBRL fundamentals and peer percentiles. Strategies built from these ideas are automatically backtested (over a timeframe-dependent historical window with walk-forward tuning) and stress-tested before they can go live, then monitored against the news hourly while they run.