Four companies. One night. Roughly 18% of the entire S&P 500 by market weight. And when the dust settled Wednesday evening, the results were — in a word — complicated.

Meta beat on every line and fell 6% after hours. Amazon smashed expectations and rallied. Alphabet delivered what may be its cleanest quarter in three years and climbed. Microsoft printed a strong Azure number and saw a muted, mixed reaction because Wall Street is still not sure it is doing enough on AI monetization. Four reports, four completely different market responses. That is not noise — that is signal.

The market spent months asking whether AI capex was translating into revenue. Tonight, the answer was yes — and also, maybe not fast enough, and also, this is getting expensive. All three answers, simultaneously, depending on which name you were watching.

The Macro Context First

This was not a normal earnings week. The four hyperscalers — Meta, Alphabet, Amazon, and Microsoft — reported for the first time since the U.S. began combat operations in Iran in late February, a conflict that has pushed Brent crude above $107 per barrel and introduced genuine supply chain friction into AI infrastructure costs. Surging oil prices and component pricing are no longer theoretical risks. Meta said so explicitly in its earnings release.

Meanwhile, the broader Q1 season is running hot. Early S&P 500 results show 84% of companies beating EPS estimates and 81% beating on revenues — both above the 1, 5, and 10-year averages. The blended earnings growth rate sits at 15.1%, putting the index on track for its 11th consecutive quarter of year-over-year growth. The Mag 7 group specifically was expected to post earnings growth of 20.3% on revenue growth of 22%. That is the bar these four had to clear tonight. Most did. The reaction, though, was a different conversation entirely.

The VIX closed Friday at 18.71. Options markets had been pricing 5–7% implied moves across all four names heading into earnings — larger than their historical averages. Semiconductor call premiums were running 25% larger than put premiums, with traders positioning for upside exposure across chip names. That is the options market telling you something about directional lean before a single number dropped.

The Scoreboard: Q1 2026 at a Glance

Here is where each name landed versus what the street was modeling, and how the market responded in extended trading:

• META: Revenue $56.31B (+33% YoY) vs. $55.45B estimate. EPS $7.31 adj. vs. $6.79 estimate. After-hours move: -5.7% to -6%.
• GOOGL: Revenue +20% YoY, beating consensus across the board. EPS $5.11 vs. ~$2.63 estimate. After-hours move: higher.
• AMZN: Revenue $181.52B (+17% YoY) vs. $177.30B estimate. EPS $2.78 vs. $1.64 estimate — a 69% beat. After-hours move: +4%.
• MSFT: Revenue +18% YoY, beating ~$81.4B estimate. Non-GAAP EPS $4.13 vs. $4.04–$4.06 estimate. After-hours move: mixed, modestly higher.

Sources: CNBC, LSEG, StreetAccount, StockTitan, Bloomberg — April 29, 2026

Meta: The Paradox of a Perfect Beat

Meta delivered its fastest revenue growth quarter since 2021. Revenue came in at $56.31 billion, up 33% year-over-year, against a $55.45 billion estimate. Net income hit $26.77 billion — up 61% — with diluted EPS of $10.44, well ahead of what the street was watching. Ad impressions grew 19% year-over-year. Average price per ad rose 12%. Daily active people across its Family of Apps reached 3.56 billion, up 4% from a year ago.

And the stock fell nearly 6% after hours, shedding roughly $103 billion in market cap in a single session.

Here is why. Meta raised its full-year 2026 capex guide to $125–$145 billion, up from the prior range of $115–$135 billion. The company attributed the increase to higher component pricing — a direct consequence of the Iran conflict disrupting AI infrastructure supply chains — and additional data center costs. Analysts had been modeling roughly $122.6 billion. The new midpoint is $135 billion. That gap between what the street expected and what Zuckerberg is actually spending is what moved the stock lower despite a clean beat on every headline metric.

There is a complicating factor the headline number does not capture: Meta also announced it is laying off approximately 8,000 employees — roughly 10% of its workforce — while closing 6,000 open roles. Headcount rose just 1% year-over-year. The company is simultaneously ramping AI spending and cutting human capital costs. That is a very specific kind of bet — that the machines will carry the growth load going forward.

Q2 guidance came in at $58–$61 billion in revenue, which is solid. Full-year expenses guided to $162–$169 billion. The $8.03 billion income tax benefit Meta recognized in Q1 is also worth flagging — that helped the net income number look extraordinary. Strip it out, and the picture is still strong, but less dramatic.

What is genuinely interesting: Instagram Reels engagement was up 10% in Q1 due to ranking improvements. That is actual AI-driven revenue contribution showing up in the ad business. Zuckerberg’s Muse Spark launch — Meta’s first foundation model from its Superintelligence Labs — is a longer-term story, but it matters that it exists. The question investors are asking is not whether AI is working. It is whether the cost of AI is outrunning the cash it generates.

Alphabet: The Best Quarter in Years

No ambiguity here. Alphabet posted net income of $62.57 billion — up 81% year-over-year. Revenue grew 20% from a year ago, marking its highest growth rate since 2022. Google Cloud beat Wall Street’s expectations by a significant margin, recording a 63% increase in revenue to $20.02 billion against an $18.05 billion estimate. Google advertising revenue came in at $77.25 billion, up 15.5%. Search grew 19% year-over-year with queries at an all-time high.

The one soft spot: YouTube advertising missed slightly, coming in at $9.88 billion versus the $9.99 billion estimate. Worth watching. YouTube subscriptions are now actually growing faster than YouTube ads — a composition shift that has margin implications longer term.

CEO Sundar Pichai noted on the call that enterprise AI solutions became the primary growth driver for cloud for the first time in Q1. That is a meaningful statement. It means the AI revenue is coming from enterprise customers paying for cloud AI infrastructure — not just consumer products. The spending is showing up on the revenue side. That is exactly what the market needed to see.

Alphabet’s cloud backlog ended 2025 at $240 billion — up 55% sequentially. The company also guided 2027 capex to be significantly higher than 2026’s already elevated $175–$185 billion range. Alphabet is the most aggressive capex spender in the group by percentage of revenue, and for once, the revenue growth is actually keeping pace with the argument.

Amazon: The Print That Actually Worked

Amazon’s Q1 2026 numbers were, by almost every measure, clean. Revenue of $181.52 billion beat the $177.30 billion estimate. EPS of $2.78 crushed the $1.64 consensus — a 69% beat. AWS revenue grew 28% year-over-year to $37.59 billion, above the $36.64 billion estimate. Advertising revenue of $17.24 billion also topped expectations. Stock was up more than 4% in extended trading. That is not a complicated read.

The 28% AWS growth rate is the number worth sitting with. The street had been modeling around 18% consensus growth, with bulls hoping for something near 20%. Getting to 28% is a meaningful acceleration — it suggests enterprise AI demand is pulling cloud faster than the bears expected. There is context here though: Amazon’s free cash flow for the trailing twelve months fell to $1.2 billion, a 95% decrease year-over-year, because the capex machine is consuming cash at an extraordinary rate. Amazon is guiding to roughly $200 billion in 2026 capex. The growth is real. But so is the cash consumption.

Q2 guidance landed at $194–$199 billion in revenue, implying 16–19% year-over-year growth. A slight tangent worth mentioning: Amazon’s Leo satellite service — its answer to Starlink — is now commercially targeting Q3 2026, with 270 satellites in service against a final constellation of 7,700. CEO Andy Jassy mentioned Delta Airlines signing on as a prospective customer. That is a side story today, but it is the kind of optionality embedded in Amazon that never shows up cleanly in a quarterly model.

Microsoft: Strong Print, Uncertain Story

Microsoft’s results were good. Azure grew 40% in Q3 fiscal 2026 — above the roughly 31% street consensus. Non-GAAP EPS came in at $4.13, ahead of the $4.04–$4.06 estimate. Revenue grew 18% across the business. The company returned $10.7 billion to shareholders through dividends and buybacks in the quarter.

But the stock has been the worst-performing hyperscaler year-to-date — down 12% — and the after-hours reaction was mixed rather than celebratory. The market wants more than Azure growth. It wants Copilot traction. It wants clarity on what happens now that Microsoft has ended its exclusive right to sell OpenAI models, opening the door for Amazon and others to carry the same product. That exclusivity was a genuine competitive moat. It is now gone.

GAAP EPS of $3.72 was impacted by losses from investments in OpenAI — a line item that will continue to create noise in the financials. Gross margin percentage on the cloud side decreased, driven by the cost of scaling AI infrastructure. That is not surprising, but it is a headwind investors are now formally tracking rather than speculating about.

At roughly 22x forward earnings, Microsoft is not cheap enough to ignore execution risk. A 40% Azure print is strong. The question the market is not done answering is whether Copilot will ever become a revenue engine that matches the ambition of the spending behind it.

The Combined Capex Picture

Here is where the four hyperscalers stand on AI infrastructure spending, which is the single most important number for understanding the rest of the AI trade:

• Alphabet: 2026 capex guide of $175–$185B, up from $91.4B in 2025 — roughly a 100% year-over-year increase.
• Amazon: Guiding to approximately $200B in 2026, up from $131.8B in 2025 — a roughly 52% increase.
• Meta: Raised 2026 capex guide to $125–$145B (midpoint $135B), up from $72.2B in 2025 — an increase of 75–100%.
• Microsoft: Q3 capital expenditures alone were up 89% year-over-year, with full-year 2026 on pace for approximately $146B.

Combined, these four companies are on pace to spend somewhere between $630–$650 billion on AI infrastructure in 2026. That number is larger than the GDP of most countries. And it is accelerating.

This matters for options traders beyond just the individual names. Nvidia reports later in May. The capex commentary from tonight feeds directly into Nvidia’s forward revenue expectations. Alphabet and Amazon raising or holding guidance is bullish for the AI supply chain — chips, data center interconnects, cooling, and power infrastructure. If Meta’s raised capex is read as cost pressure rather than demand confidence, that is a more nuanced signal. So far, the market is processing it as the former.

Options Market: What the Structure Looked Like Going In

Pre-earnings, options were pricing 5–7% implied moves across all four names. That is elevated relative to historical averages and signals the market was acknowledging genuine binary risk — not just routine earnings volatility. Implied volatility typically compresses sharply after earnings are released, regardless of direction. That post-earnings IV crush is the mechanism that punishes long premium holders and rewards short premium structures.

Meta specifically had a pre-earnings one-week at-the-money implied volatility running near 65–75%. Historical post-earnings IV for Meta tends to collapse back to the 23–28% range. A $700 call expiring May 1 that was trading around $15 pre-earnings needed the stock to clear $715 just to break even — and that assumes the IV crush does not eat the entire premium first. Meta closed near $671 before earnings and fell to roughly $630 after. That $700 call expired worthless, likely collapsing from $15 to approximately $3.50 or less as IV compressed from roughly 75% toward 30%.

The part people skip: the IV crush happens whether the stock moves in your direction or not. A trader who bought a $700 Meta call ahead of earnings and was directionally correct that Meta would beat could still have lost money if the stock did not move enough to offset the collapse in option premium. This is the core reason why buying single-leg options into mega-cap earnings is a low-probability exercise — even when you are right on the fundamental call.

Options Trade Framework: Name by Name

What follows is a structured framework for how options traders might think about positioning in each name given the post-earnings landscape. IV will crush significantly at Thursday’s open. New structures should account for the reset in premium pricing rather than the pre-earnings environment.

META — Stock Down ~6%, Capex Overhang Persists

• Bull Case Structure: If you believe the ad business and Reels engagement trajectory justifies ownership despite the capex raise, consider a defined-risk bull put spread — selling the May/June $600 put and buying the $575 put. This collects premium in a now-compressed IV environment while defining downside risk. The thesis: $600 is a meaningful support level and the fundamental business is genuinely strong.
• Bear Case Structure: If you believe the capex guidance raise signals a longer cost headwind than bulls are pricing, a bear call spread — selling the $640 call, buying the $665 call — in a compressed IV environment limits your premium outlay while expressing a view that the stock faces near-term resistance from the capex overhang.
• Neutral/Range Structure: An iron condor centered around the $590–$650 range with wings placed at $570 and $670 captures the post-earnings low-IV environment. With IV having compressed significantly, this structure benefits from theta decay as long as the stock holds within that range.
• Key risk to monitor: Reality Labs losses, Q2 guidance tone on the earnings call, and any additional capex commentary from management. Meta’s youth safety legal exposure is also a pending material risk the company itself disclosed.

GOOGL — Clean Beat, Cloud Accelerating

• Bull Case Structure: Alphabet’s 63% cloud revenue growth and 81% net income expansion gives fundamental bulls a clean story. For traders expecting continuation, a bull call spread — buying the at-the-money call and selling a call 5–7% higher — captures upside while limiting premium outlay in the now-compressed IV environment. Example: buy the $175 call, sell the $185 call in a near-term expiry.
• Bear Case Structure: YouTube ad softness ($9.88B vs. $9.99B estimate) and the capex guide for 2027 being telegraphed as significantly higher create a potential forward margin story that could weigh. A bear put spread — buying a put at current market price, selling a put 5% lower — on a 30–45 day expiry gives bears a defined-risk vehicle.
• Neutral Structure: Given the clean beat and positive reaction, a short put or cash-secured put at a level 5–8% below current price capitalizes on compressed IV while giving a favorable entry level if the stock pulls back. For traders expecting GOOGL to hold gains: sell the post-earnings put, collect premium.
• Key risk: YouTube’s deceleration is real and worth tracking. If subscription revenue continues to outpace ad revenue in a compressing economy, the ad mix story changes. Also watch: Waymo commercial expansion timeline and whether Other Bets continues to contract.

AMZN — The Cleanest Print of the Night

• Bull Case Structure: AWS growing at 28% — well above the 18–20% consensus range — is the most important number in the group tonight. For traders who believe enterprise AI demand is durable and AWS is gaining share, a bull call spread in a 45–60 day expiry captures the next leg while limiting risk. The free cash flow collapse (down 95% YoY) is a real risk, but it is already documented and understood by the street.
• Bear Case Structure: Amazon’s free cash flow position — down to $1.2 billion on a trailing twelve-month basis — is structurally concerning if capex growth continues at this pace. For traders who believe the FCF story forces a valuation reconsideration, a bear put spread targeting a 5–8% pullback gives defined-risk exposure to the downside without fighting the near-term momentum of a 4% after-hours move higher.
• Neutral Structure: A short strangle in a 30-day expiry — selling an out-of-the-money call and put around the current price — benefits from the IV crush at Thursday’s open. Post-earnings AMZN IV will compress sharply. Width of strikes should reflect the 5–7% implied move that was priced in pre-earnings, so strikes 6–8% above and below current price have a reasonable probability of staying untested.
• Key risk: Andy Jassy’s tone on AWS growth sustainability into H2 2026. Also: the Leo satellite capex component is real and additive. Any delay in commercial service or cost overruns adds to a capex story that is already stretched.

MSFT — Azure Beat, Story Still Evolving

• Bull Case Structure: If you believe the 40% Azure growth rate and the improving Copilot monetization story is underpriced in a stock that was down 12% YTD into the print, a call debit spread — buying the at-the-money call, selling a call 5% higher — gives directional upside exposure with limited premium risk. The stock is less crowded than its Mag 7 peers after the YTD underperformance.
• Bear Case Structure: The OpenAI exclusivity loss is a structural competitive change that the market has not fully priced. For traders who believe the loss of that moat pressures Azure’s AI premium long term, a bear put spread or a defined-risk put position using a 30-day expiry captures downside without unlimited risk exposure.
• Neutral Structure: Microsoft’s mixed after-hours reaction — up but not dramatically — suggests the stock may trade in a consolidation range near current levels as the market digests both the Azure beat and the OpenAI structural story. An iron condor around current price with 30-day expiry benefits from a post-earnings low-IV environment and a stock that is likely to remain range-bound until the next catalyst.
• Key risk: Copilot adoption data is the single most important metric to watch on the call and in the Q4 fiscal year guide. If Copilot enterprise penetration is not showing revenue contribution by the next quarter, the capex spending argument becomes harder to defend at 22x forward earnings.

Sector Implications and the Nvidia Read-Through

Nvidia does not report this week. It does not need to. The combined capex commitments from tonight’s four reports will set Nvidia’s forward revenue expectations as effectively as its own guidance would. Alphabet and Amazon both accelerated cloud growth rates, which means AI compute demand is real and being absorbed. Meta raised capex despite citing component cost pressure, which signals that demand is strong enough to absorb cost inflation. Microsoft maintained its spending cadence.

The implication for the AI supply chain — chips, interconnects, power, cooling, data center REITs — is broadly constructive. Tuesday’s AI infrastructure selloff of 2–5% in names like Nvidia, AVGO, and AMD was partly a reaction to a WSJ report suggesting OpenAI missed internal revenue targets. Tonight’s hyperscaler prints directly contradict the idea that AI demand is softening. Alphabet’s enterprise AI commentary in particular — noting that AI solutions became the primary cloud growth driver for the first time — is the kind of data that reverses that Tuesday selloff.

For traders holding or watching semiconductor names: the call premium skew that was 25% larger than put premium pre-earnings had a fundamental basis. That asymmetry is likely to persist after tonight’s prints, particularly in names levered to hyperscaler infrastructure spending.

Risk Factors Across the Group

• Iran conflict and component pricing: Meta explicitly cited higher component pricing as the driver of its capex raise. This is a direct supply chain risk that all four hyperscalers share. If Brent crude stays above $100 and disruptions persist, capex cost inflation becomes a structural drag on margins across the group.
• Free cash flow compression: Amazon’s 95% FCF decline is the starkest example of what happens when capex outpaces earnings growth. Meta and Alphabet face similar dynamics at a smaller scale. This creates valuation sensitivity — if growth decelerates even slightly while capex stays elevated, multiples compress quickly.
• AI monetization timeline: The market is willing to fund AI spend today based on future revenue expectations. But the patience is not unlimited. Tonight’s prints bought time — Alphabet especially — but the question of when AI becomes a primary P&L driver rather than a cost line remains open.
• Regulatory and legal exposure: Meta’s youth safety litigation, the European Commission’s DSA findings on Instagram and Facebook, and ongoing scrutiny across all four names add tail risk that is difficult to model but increasingly material in disclosure language.
• Apple tomorrow: Apple reports April 30 into a backdrop where Tim Cook’s September departure has been announced and his successor — hardware chief John Ternus — is already named. Tariff exposure and iPhone unit trends are the key metrics. The earnings call tone on AI features will also matter for the broader group read.

Tactical Checklist: What Options Traders Should Do Thursday Morning

• Check IV levels at the open for all four names — the post-earnings crush will have already compressed premiums significantly. Do not pay pre-earnings IV prices for post-earnings positions.
• Assess the after-hours moves versus the pre-earnings implied move range (5–7%). Names that moved within the implied range saw the expected behavior. Names that moved significantly beyond the range (META, down 6%) may have residual positioning pressure at Thursday’s open.
• For META specifically: the $630 area is the new near-term reference level. Watch whether the stock stabilizes there or continues lower as call holders who were positioned above $700 sell into any recovery.
• For GOOGL and AMZN: both reacted positively to clean beats. Consider whether the post-earnings IV crush creates an opportunity to sell put spreads against current support levels, collecting premium in a now-compressed volatility environment.
• For MSFT: the mixed reaction and ongoing OpenAI structure questions mean the stock may underperform peers in the near term. Avoid directional long premium positions until there is more clarity.
• Watch Nvidia, AVGO, and AMD at the Thursday open. The hyperscaler capex confirmation is broadly bullish for these names. The Tuesday selloff may reverse partially or fully.
• Apple reports tonight (April 30). The Mag 7 week is not over. Position sizing accordingly — adding risk into Apple before that print is compounding event exposure.
• Defined-risk structures only. With VIX near 18–19 and macro uncertainty from Iran still live in the market, unlimited-risk positions are not appropriate for most traders in this environment regardless of fundamental conviction.

What tonight told us is something worth sitting with: the AI capital cycle is not slowing. If anything, the spending is accelerating even as the companies acknowledge component cost pressures and supply chain friction from geopolitical events that were not in anyone’s model at the start of the year. Alphabet’s cloud is now genuinely growing because of AI — not in spite of it. Amazon’s AWS is outpacing every estimate. Meta is pouring money into infrastructure while simultaneously cutting headcount. Microsoft is trying to hold its AI position after losing its OpenAI exclusivity.

Four different companies, four different executions, four different market reactions. The range of outcomes from a single night of earnings is the whole point. This is not a monolith. It never was.

Apple tomorrow. Nvidia in May. The season is not done.

This editorial is for informational and educational purposes only and does not constitute financial advice. Options trading involves substantial risk and is not suitable for all investors. All trade structures described are hypothetical frameworks for analysis. Past performance does not guarantee future results. Always conduct your own due diligence.