Structures verification of custom-AI chip vendor earnings headlines into a finance and supply-chain checklist. The workflow separates consolidated revenue and EPS beats from AI semiconductor sub-segment growth, full-year AI revenue guidance (raised vs reiterated), and infrastructure software shortfalls cited in the same report. It references CNBC reporting on June 3, 2026 that Broadcom's fiscal Q2 revenue was $22.19 billion versus $22.27 billion estimated (48% YoY), adjusted EPS $2.44 vs $2.40, AI semiconductor revenue $10.8 billion (more than doubled YoY), Q3 revenue guidance about $29.4 billion vs $28.53 billion expected, infrastructure software revenue $7.18 billion vs $7.32 billion expected, CEO Hock Tan reiterating AI semiconductor revenue in excess of $100 billion in fiscal 2027 without raising the 2026 forecast, naming six core custom-chip customers including Anthropic, Google, Meta, and OpenAI, and saying Broadcom would offer chips only rather than complete integrated AI systems—without treating media figures as procurement commitments.
Use cases
- Procurement teams interpret a hyperscaler custom-chip partner's earnings miss as capacity risk
- Finance compares reiterated $100B+ FY27 AI guidance against internal GPU/ASIC budgets
- Strategy maps named customers (Google TPU, Meta, OpenAI) to your multi-vendor routing plan
- Legal reviews 'chips only' vs integrated-system shifts in vendor statements
- Investor relations needs sourced context on software drag vs AI hardware strength
Key features
- Extract revenue, EPS, segment splits (semiconductor solutions vs infrastructure software), and guidance from the CNBC URL.
- Record AI semiconductor revenue actuals, YoY growth, and next-quarter AI revenue outlook separately from consolidated totals.
- Capture whether management raised, cut, or reiterated multi-year AI revenue targets.
- List customer names and product-strategy shifts (chips-only) as qualitative context, not confirmed allocations.
- Map implications to your contracts, lead times, and alternative suppliers.
- Publish a memo: verified facts, guidance caveats, and retest triggers (10-Q, next earnings, customer capex filings).
When to Use This Skill
- After CNBC earnings stories on custom AI chip vendors with mixed software/hardware results
- Before revising ASIC/TPU capacity assumptions from a single after-hours move
- When finance debates FY27 $100B-class guidance versus near-term quarterly AI ramps
Expected Output
Custom-AI semiconductor earnings due-diligence memo separating chip-segment facts from software misses and long-range guidance rhetoric.
Frequently Asked Questions
- Does this predict Broadcom's stock direction?
- No—it structures CNBC-reported earnings for internal planning; investment decisions stay outside this skill.
- Can we treat $100B FY27 AI revenue as our forecast?
- Record it as reiterated management guidance in media coverage; validate against issuer filings.
- How does this differ from public-equity financing due diligence?
- Financing skills track equity raises; this skill tracks quarterly earnings and AI semiconductor segment disclosure.
Related
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AI labor market JOLTS claims due diligence
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