A temporada de resultados de abril nos EUA está chegando a um mercado que quer mais do que uma boa história. JPMorgan já estabeleceu um alto padrão com um resultado forte, e a atenção agora está se voltando para a sala de máquinas do S&P 500: infraestrutura de IA, na qual três empresas estão no centro dessa história.
Por que essa janela de ganhos é importante para a IA
Microsoft, Alphabet e NVIDIA não são apenas participantes do ciclo de IA, elas estão construindo a arquitetura física e de software da qual outras empresas dependem: os chips, as regiões da nuvem, os modelos e as ferramentas. Se esses gastos gerarem retornos, os primeiros sinais podem começar a aparecer em seus resultados trimestrais nas próximas semanas.
Cada empresa representa um teste diferente.
Microsoft: Se a adoção da IA corporativa está se traduzindo em expansão de receita e margem
Alfabeto: Se possuir a pilha completa, de chips à nuvem e distribuição, é uma vantagem duradoura ou simplesmente uma posição cara a ser defendida
NVIDIA: Se o ciclo de hardware ainda está se mantendo, acelerando ou começando a se estabilizar
Em 2026, a questão não é mais se o investimento em IA está acontecendo, os compromissos de capital são substanciais e já declarados publicamente. A questão é se esses gastos estão gerando retornos com rapidez suficiente para justificar a escala dessas apostas.
IMPORTANT: REPORTING SCHEDULES CAN CHANGE WITHOUT NOTICE. REPORTING DATES AND RELEASE TIMES ARE FROM COMPANY INVESTOR RELATIONS CALENDARS WHERE MARKED CONFIRMED; OTHERWISE THEY ARE GO MARKETS ESTIMATES. CONSENSUS EPS, REVENUE AND ANALYST-RANGE DATA ARE FROM THIRD-PARTY MARKET CONSENSUS SOURCES, AS OF 16 APRIL 2026 (AEST). COMPANY GUIDANCE, BACKLOG AND OPERATING METRICS ARE FROM THE LATEST COMPANY FILINGS OR RESULTS PRESENTATIONS UNLESS STATED OTHERWISE. FIGURES AND SCHEDULES MAY CHANGE WITHOUT NOTICE.
$MSFT| Q1 2026 REPORTING PERIOD
Microsoft Corporation
NASDAQ | Technology | 29 Apr 2026
Confirmed
Global Release Countdown (AMC)
00:00:00:00
Consensus EPS
US$4.04
Consensus Revenue
US$81.40bn
AU/ASIA30 Apr | 6:05 am
US/LATAM29 Apr | 4:05 pm
Market Intelligence: $MSFT
Analysis: Microsoft price drivers and scenarios
Azure Growth Target
37-38%
Constant currency projection
AI Contribution
+6-8 pts
Azure revenue from AI services
FY26 Capex
US$146bn
Total infrastructure spending
AVG
LOW US$3.86AVG US$4.04HIGH US$4.14
Microsoft is being tested on a specific question: can it turn heavy AI spending into margin expansion? A result above US$4.14 could ease concerns over "capex fatigue" and demonstrate whether Azure growth is re-accelerating alongside enterprise AI adoption.
Factors that could move the markets
Azure growth rate
Watch if constant-currency growth re-accelerates above 39%, suggesting AI workloads are filling new capacity rather than sitting idle.
Signal: Capacity Utilisation
Workplace agent adoption
The shift to autonomous agents is central. Clear enterprise uptake in Dynamics 365 supports the high-tier subscription thesis.
Signal: Software Monetisation
Maia 200 cost savings
If the in-house AI chip is lowering inference costs at production levels, gross margins may start to recover from recent compression.
Watch: Gross Margin Recovery
Regulatory backdrop
Ongoing scrutiny of cloud bundling practices remains a potential headwind; management commentary here is vital for the long-term view.
Watch: Bundling Compliance
Sentiment Analysis · Microsoft Corp.
Interactive scenario analysis: $MSFT
Select earnings outcome
AI Scaling Proof
Strong result, backed by real AI progress
EPS above US$4.14 and Azure re-acceleration above 39% could support the view that AI spending is starting to translate into commercial returns. Workplace Agents show measurable ROI and FY26 guidance is raised.
EPS Outcome
Above US$4.14
Cloud Signal
Accelerating
Guidance
Raised
Possible reaction
Strong rally
Sources & Data Methodology
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 16 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
Expanded Coverage
Beyond the chipmakers
As the "show me the money" year unfolds, discover how AI demand is impacting Tesla, NextEra, and Exxon.
Alphabet has transformed from a search business into a sprawling AI infrastructure play, and this result will test whether that transformation is delivering. The US$185 billion capex forecast for 2026 is extraordinary, close to double last year's spending.
EPS is expected to decline slightly year on year, precisely because that infrastructure spending is consuming capital. The question is whether Google Cloud's growth is fast enough to show a credible path back to margin recovery, and whether Ironwood, the seventh-generation custom AI chip, is proving its cost-per-query advantage at scale.
$GOOGL| Q1 2026 REPORTING PERIOD
Alphabet Inc.
NASDAQ | Technology | 29 Apr 2026
Confirmed
Global Release Countdown (AMC)
00:00:00:00
Consensus EPS
US$2.64
Consensus Revenue
US$92.14bn
AU/ASIA30 Apr | 6:30 am
US/LATAM29 Apr | 4:30 pm
Market Intelligence: $GOOGL
Analysis: Alphabet price drivers and scenarios
Cloud growth
48% YoY
Compared with last quarter
Ironwood TPU
10x peak
Vs previous-generation chip
2026 Capex
US$185bn
Double last year's spending
AVG
LOW US$2.50AVG US$2.64HIGH US$2.80
Alphabet has shifted to being viewed as a broader AI infrastructure play. The question is whether Cloud growth can support a path back to margin recovery while the massive US$185bn infrastructure buildout absorbs capital.
Factors that could move the markets
Google Cloud momentum
Markets are watching if the 48% growth rate holds, specifically among customers using Ironwood TPUs for large-scale AI.
Signal: Enterprise AI Adoption
Search & AI overview
If compute-intensive AI summaries are monetising through ads, it supports core search economics in the AI era.
Focus: Search Economics
Capex & margin trajectory
With free cash flow under pressure from US$185bn capex, markets want to know when infrastructure investment will moderate.
Watch: Spending Ceiling
DOJ antitrust risk
Management commentary on the legal timeline for Chrome or Android divestiture appeals will influence how risk is priced.
Watch: Regulatory Remedies
Sentiment Analysis · Alphabet Inc.
Interactive scenario analysis: $GOOGL
Select earnings outcome
Efficiency Proof
Ironwood efficiency drives upside
EPS above US$2.80 and cloud growth above 45% suggest Ironwood is cutting costs and strengthening Google’s advantage faster than expected.
EPS outcome
Above US$2.80
Cloud Signal
Strong growth
Waymo
Accelerating
Reaction
Sentiment improves
Sources & Data Methodology
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 16 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
NVIDIA: the hardware cycle read through
NVIDIA is no longer simply a chip company. It has become what analysts now describe as the central bank of compute, the entity whose product determines how much AI capacity the world can actually deploy.
The upcoming Q1 FY2027 result will test whether the new Vera Rubin R100 GPU architecture, which entered mass production ahead of schedule, is already contributing to revenue, and whether NVIDIA can sustain gross margins above 75% as inference, rather than training, becomes the dominant workload. Inference is more competitive and more price-sensitive than training, so margin resilience here matters.
$NVDA| Q1 2026 REPORTING PERIOD
NVIDIA Corporation
NASDAQ | Semiconductors | 20 May 2026
Confirmed
Global Release Countdown (AMC)
00:00:00:00
Consensus EPS
US$1.70
Consensus Revenue
US$78.42bn
AU/ASIA21 May | 6:30 am
US/LATAM20 May | 4:30 pm
Market Intelligence: $NVDA
Analysis: NVIDIA price drivers and scenarios
Revenue growth
73% YoY
Last quarter benchmark
Data centre share
91%+
Share of total revenue
Rubin R100
In production
Mass production began April 2026
AVG
LOW US$76bnAVG US$78bnHIGH US$81bn+
NVIDIA’s outlook depends on whether Rubin R100 can keep gross margins above 75% as inference becomes a bigger part of demand. Because inference is more price-sensitive than training, margins are the key test.
Factors that could move the markets
Rubin ramp-up
Watch whether Rubin production can scale smoothly without disrupting the Blackwell transition.
Signal: supply chain continuity
Inference margins
The key test is whether NVIDIA can keep gross margins above 75% as inference revenue grows.
Signal: pricing power holds up
Sovereign AI demand
Government-backed investment in Europe and the Middle East could broaden the base beyond hyperscalers.
Signal: market expansion
CUDA regulatory risk
Any US or European scrutiny of NVIDIA’s software advantage could move the stock regardless of the revenue result.
Signal: software moat under review
Sentiment Analysis · NVIDIA Corp.
Interactive scenario analysis: $NVDA
Select earnings outcome
Rubin ramp supports growth
Rubin ramp supports growth
Revenue above US$81 billion may suggest the Rubin ramp is tracking ahead of expectations. That could support the view that AI demand is broadening into sovereign AI and enterprise markets, helping extend visibility into 2027.
Revenue Outcome
Above US$81bn
Gross Margin
Above 75%
Workload
Inference strong
Reaction
Positive read-through
Sources & Data Methodology
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 16 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
Thematic Risks
What could shift the picture
Three risks could change the narrative regardless of how the numbers print. Each one is worth understanding before the results land.
Capex fatigue
If both Microsoft and Alphabet report in line or below expectations while reaffirming enormous spending plans, the market may start pricing the risk that AI monetisation is slower than the spending implies. That is not a stock-specific concern. It would be a broader de-rating event, affecting the valuations of companies across the technology sector.
Regulatory escalation
The FTC investigation into Microsoft, the DOJ case against Alphabet, and emerging EU scrutiny of NVIDIA's CUDA software ecosystem are all active. A material legal development before the earnings calls could overshadow the financial results entirely. Regulatory risk in this sector is not theoretical. It is live and moving.
Competition from custom silicon
Microsoft's Maia 200 chip, Alphabet's Ironwood TPU, Amazon's Trainium and Meta's custom accelerators are all reducing how much the large cloud companies depend on NVIDIA hardware. If any of these companies signals a meaningful shift in its GPU procurement plans, that could create uncertainty around NVIDIA's forward order book.
Note: These systemic risks represent thematic pivots that may influence risk appetite independently of headline EPS beats.
The Bottom Line
The 2026 reality check
Microsoft and Alphabet report on the same evening, 29 April. NVIDIA follows in late May. Together, they offer the clearest read yet on whether the AI infrastructure buildout is generating returns fast enough to justify the extraordinary scale of capital being committed.
$MSFT
AI spend is shifting from cost to competitive advantage. The question is whether margins can follow.
$GOOGL
Vertical integration from chips to search to cloud may prove to be a moat, or an expensive position to defend.
$NVDA
This is the pulse of the AI hardware cycle, and a test of whether Rubin can keep the supercycle alive into 2027.
Taken together, they offer a read on a market that looks more physical, more capital-intensive and, for many traders, more real.
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