To The Moon

Global risk sentiment improved today.

Oil prices continued to retreat, easing concerns about energy-driven inflation and higher interest rates. The yen strengthened sharply as intervention expectations grew, temporarily reducing the risk of disorderly currency moves. Strong earnings from Microsoft and Amazon also gave investors more confidence that some AI spending is already producing revenue.

Several pressures that had weighed on technology stocks are now easing at the same time.

The next test is whether this rebound can gain sustained support from earnings, cash flow and the macro environment.

1. Lower oil gives growth stocks some breathing room

The earlier surge in oil prices raised concerns that energy costs would push inflation higher again and reduce the Federal Reserve’s room to ease policy.

For technology companies, higher energy prices affect more than transportation and consumer spending.

Large AI data centers require enormous amounts of electricity. Rising energy costs can increase the expense of building and operating compute infrastructure, placing additional pressure on already-heavy capital spending.

The recent decline in oil improves three expectations:

• Near-term inflation pressure may ease

• Treasury yields face less upward pressure

• Valuation pressure on high-growth technology stocks may soften

That creates a more favorable window for the sector.

Still, geopolitical risks have not fully disappeared. Shipping routes and energy infrastructure remain vulnerable, so lower oil prices alone cannot guarantee a lasting tech rally.

2. A stronger yen reduces immediate liquidity stress

For years, investors have borrowed low-cost yen and used the funds to buy U.S. stocks, bonds and other higher-yielding assets.

This is commonly known as the yen carry trade.

When the yen strengthens too quickly, investors may need to sell overseas assets and buy back yen to close positions. That process can amplify volatility across global markets.

The yen’s latest rebound sends a clear message to speculative traders: policymakers are becoming less willing to tolerate a one-way decline in the currency.

In the near term, this helps reduce the risk of uncontrolled currency moves.

The underlying interest-rate gap remains wide, however. As long as U.S. rates stay well above Japanese rates, the carry trade may return once market conditions stabilize.

For technology stocks, the key issue is not the yen’s exact level. It is whether currency volatility can return to a more normal range without triggering another round of forced selling.

3. Microsoft and Amazon show that some AI spending is generating returns

The strongest foundation for the technology rebound still comes from Big Tech earnings.

Microsoft showed that AI infrastructure can translate into Azure growth, paid Copilot adoption and enterprise cloud contracts.

Amazon reinforced the same message through AWS and continuing enterprise demand for AI services.

The monetization path is becoming clearer:

Companies buy chips and servers.

They build data centers.

They sell cloud compute and AI services to customers.

They recover the investment through subscriptions, APIs and long-term contracts.

This has brought investors back to parts of the AI infrastructure chain.

AI chips: $NVIDIA(NVDA)$, $Broadcom(AVGO)$, $Advanced Micro Devices(AMD)$
Advanced manufacturing: $Taiwan Semiconductor(TSM)$
Networking: $Arista Networks(ANET)$, $Credo Technology(CRDO)$
Memory and storage: $Micron Technology(MU)$, $SanDisk(SNDK)$
Power and cooling: $Vertiv(VRT)$, $Eaton(ETN)$

As long as hyperscaler capex remains elevated, upstream orders should continue to receive support.

The market is now focusing more closely on which companies can capture the economic value created by that spending.

4. The rebound will not lift every AI stock equally

This earnings season has already shown clear differentiation.

Microsoft and Amazon were rewarded because their revenue paths are visible and their core businesses continue to generate cash.

Other companies may still struggle if capital spending rises too quickly, free cash flow weakens or AI revenue remains difficult to measure.

The market is increasingly dividing AI companies into three groups.

Platforms that can charge customers directly

$Microsoft(MSFT)$
$Amazon(AMZN)$
$Oracle(ORCL)$

These companies can monetize AI through cloud usage, enterprise contracts, software subscriptions and model access.

Suppliers controlling real bottlenecks

$NVIDIA(NVDA)$
$Taiwan Semiconductor(TSM)$
$Broadcom(AVGO)$
$Arista Networks(ANET)$
$Vertiv(VRT)$

Their customers, orders and delivery paths are relatively visible. Continued data-center construction supports demand.

Companies depending on longer-term monetization

Some AI applications, robotics, autonomous-driving and high-valuation software names still need to prove that customers are willing to pay consistently.

These stocks may perform strongly when sentiment improves, though they can come under pressure quickly if rates rise or risk appetite weakens.

5. The next question is whether AI can expand from hardware into software

The first stage of the AI trade focused on chips, servers, memory and data centers.

The next stage depends on what companies do after purchasing all that infrastructure.

Will enterprises continue paying for AI software and applications?

Key names to watch include:

$Palantir Technologies(PLTR)$ — Government and enterprise AI platforms
$ServiceNow(NOW)$ — Enterprise workflows and AI agents
$Salesforce(CRM)$ — Whether Agentforce can support contract growth
$Adobe(ADBE)$ — Generative AI pricing and customer expansion
$CrowdStrike(CRWD)$ — AI-driven cybersecurity demand

If software companies can show stronger orders, customer growth and stable cash generation, it would suggest the AI cycle is moving from infrastructure investment toward application monetization.

If software revenue continues to lag hardware spending, concerns about the final return on the entire AI buildout will remain.

What does the rally need to continue?

Stable oil prices and Treasury yields

Technology stocks remain vulnerable to another simultaneous rise in energy prices and bond yields.

A renewed oil spike or sharp increase in long-term rates would pressure valuations again.

Broader market participation

A healthy recovery cannot depend indefinitely on Microsoft, Amazon and Nvidia.

Memory, equipment, networking, power and software stocks also need to attract capital.

Better behavior during the next pullback

A strong rally proves that buyers exist at lower prices.

The more important test comes during the next decline: can the market hold key levels without another wave of leverage-driven selling?

More earnings evidence

Investors have already seen the size of AI capital spending.

Now more companies need to show that AI produces orders, revenue, profit and free cash flow.

Stable corporate credit markets

If technology giants increasingly use debt to finance data-center construction, corporate-bond yields and credit spreads will become important signals.

Stable credit markets show that investors are still willing to fund the expansion. Rising credit stress would quickly affect equity valuations.

TigerComments Take

Today’s market has three sources of support:

Lower oil is easing inflation and interest-rate pressure.

A stronger yen is reducing the immediate risk of disorderly currency moves and forced position unwinds.

Big Tech earnings are showing that some AI investment is already producing real revenue.

The environment is clearly more constructive than it was during the selloff.

The next stage will still be selective.

Investors are likely to favor companies that can:

• Win orders now

• Charge customers directly

• Expand investment without destroying free cash flow

The macro pressure is easing.

Corporate earnings will now determine how far the rebound can go.

What happens next for technology stocks?

A. AI earnings keep confirming demand, and the recovery continues
B. Indexes remain volatile while capital concentrates in core leaders
C. Macro risks return and trigger another pullback
D. Capital rotates from hardware toward AI software and applications

Are you adding technology exposure now, or waiting for the next pullback and more earnings confirmation?

Disclaimer: This post is for market discussion only and does not constitute investment advice. Investing involves risk.