Technology stocks had already posted massive gains in 2026, driven by chips, AI infrastructure, and data-center spending. But by May 17, some traders began locking in profits as expectations continued rising.

The concern was simple: AI demand still looks strong. The question became whether earnings could stay strong enough to justify valuations.

Semiconductor names remained at the center of attention, with investors focusing on:

• AI chip demand
• Hyperscaler spending
• Blackwell production ramp
• Data-center expansion

Markets were especially watching NVIDIA because many investors viewed its report as a broader test for the entire AI ecosystem.

Expectations were already extremely high. Consensus estimates pointed to roughly $79 billion in quarterly revenue, while analysts expected continued growth in data-centre sales, the segment driving most of Nvidia’s AI expansion.

The rally was not limited to Nvidia.

AI-linked stocks across memory, networking, servers, and infrastructure had also surged, leading to growing debate about whether the market was entering another phase similar to earlier technology booms. At the same time, strong earnings momentum kept many investors bullish.

For markets, May 17 became less about what AI had already done. It became about what comes next.

If Nvidia delivered another strong quarter, the AI rally could continue. If not, profit-taking risk was already waiting.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post Nvidia earnings preview: AI rally faces its next reality check first appeared on Finblog.

Nvidia CEO Jensen Huang made it clear that the company’s role in the AI boom goes far beyond hardware, saying Nvidia has directly helped build key players in the emerging AI cloud ecosystem. Speaking about companies like CoreWeave, Nscale, and Nebius, Huang said their growth wouldn’t have been possible without Nvidia’s support.

“If we didn’t support CoreWeave to exist, these AI clouds wouldn’t exist,” Huang said, adding that similar backing helped other players reach where they are today.

Not just a supplier, but a builder

Huang described Nvidia’s approach as intentionally hands-on. Rather than simply selling chips, the company:

• supports AI cloud startups early
• helps scale infrastructure players
• builds out the broader ecosystem

The goal is simple: make sure the entire AI market grows faster, not just Nvidia itself.

“We don’t pick winners”

Despite backing multiple companies, Huang emphasized that Nvidia is not trying to choose a single dominant player. Instead, the strategy is to support everyone in the ecosystem.

“We should do as much as needed, as little as possible,” he said, explaining that Nvidia wants to help companies succeed without controlling them. He added that when Nvidia invests in one company, it often supports others as well, reinforcing its neutral position across the market.

Why this strategy matters

This approach gives Nvidia a powerful advantage. By helping multiple AI infrastructure players grow:

• Nvidia expands demand for its chips
• avoids dependence on a single partner
• strengthens its position at the center of the AI industry

It also ensures that even competitors within the ecosystem still rely on Nvidia technology.

Nvidia isn’t just leading the AI race, it’s shaping the track.

Huang’s comments highlight a strategy where Nvidia acts as both supplier and ecosystem builder, quietly enabling the rise of entire AI cloud platforms, and as long as those platforms grow, so does Nvidia.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

https://www.youtube.com/embed/Hrbq66XqtCo?si=JbpMsfM9Fwb9C66R

Full interview is here:

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Amazon CEO Andy Jassy used his annual shareholder letter to send a clear message: the company is stepping deeper into AI, hardware, and infrastructure, and it’s ready to compete directly with industry leaders like Nvidia, Intel, and even Starlink.

The tone wasn’t aggressive on the surface, but the strategy underneath was unmistakable. Amazon is no longer just a customer of these technologies. It wants to replace them.

Amazon vs Nvidia: “A new shift has started”

Jassy acknowledged Amazon’s strong partnership with Nvidia, whose chips still dominate AI workloads today. But he made it clear that things are beginning to change.

Most AI systems have relied on Nvidia hardware so far, but Amazon is pushing its own chips as a cheaper and more efficient alternative.

Its Trainium AI chips are seeing explosive demand:

• Trainium2 is already sold out
• Trainium3 capacity is nearly fully booked
• Even Trainium4, which is still 18 months away, is already partially reserved

This momentum has pushed Amazon’s chip business to a $20 billion annual run rate, with Jassy suggesting it could be even larger if fully commercialized.

For now, Nvidia remains dominant, generating over $200 billion in annual revenue. But Amazon is positioning itself as a serious long-term challenger.

Pressure on Intel: Graviton gains ground

Amazon is also quietly taking share from Intel. Its Graviton CPUs, designed in-house, are now widely used across AWS. According to Jassy, 98% of the top 1,000 EC2 customers are already using Graviton chips.

Demand is so strong that some companies even asked to buy all available capacity for 2026, requests Amazon had to decline. That tells you one thing: customers are actively looking for alternatives to traditional chip providers.

A Starlink rival is already taking shape

Amazon is also entering the satellite internet race with its own project, Amazon Leo, expected to launch in mid-2026. And it’s not starting small.

Jassy revealed that Amazon has already secured major contracts with companies like Delta, AT&T, Vodafone, and even NASA. The company also has over 200 satellites already in orbit, signaling real progress before the official launch.

This puts Amazon in direct competition with SpaceX’s Starlink in a market that could define global connectivity.

AI spending is massive and intentional

At the center of everything is one key decision: Amazon is going all-in on AI infrastructure.

The company plans to spend around $200 billion in capital expenditures in 2026, mostly on AWS data centers and AI capacity. That’s one of the largest investment plans in tech history.

Jassy defended this aggressively, saying the company isn’t making a blind bet. He pointed to long-term agreements, including a deal where OpenAI plans to spend up to $100 billion on AWS. He also hinted that more large deals are already signed or in progress, even if they haven’t been publicly announced yet.

Beyond AI: robots, delivery, and groceries

While AI dominated the letter, Jassy also highlighted how Amazon is expanding across its broader ecosystem:

• Over 1 million robots are now operating in warehouses
• The company is investing $4 billion to expand rural delivery
• Its grocery business reached $150 billion in sales in 2025

He even suggested Amazon could eventually turn its robotics capabilities into standalone products, possibly selling automation solutions or even consumer robots in the future.

Amazon’s strategy is becoming clearer. Instead of relying on partners, it is building its own chips, its own infrastructure, and even its own satellite network. That means higher upfront costs, but also greater long-term control.

Jassy also addressed concerns about an AI bubble, acknowledging the debate but dismissing it for Amazon’s case. From his perspective, demand is real, growing, and already locked in through major customer agreements.

For investors, the message is simple: Amazon isn’t just participating in the AI boom. It’s trying to own as much of the stack as possible.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post Amazon CEO Targets Nvidia, Intel, Starlink in Bold AI Push first appeared on Finblog.

Corporate America is showing unexpected resilience. Despite crude oil hovering near $100 per barrel and ongoing geopolitical tensions, S&P 500 companies are on track to post another strong earnings season, signalling that large firms are navigating the current environment better than expected.

Earnings growth keeps accelerating

According to new data from FactSet, S&P 500 earnings are expected to grow 13.2% year over year in Q1, marking the sixth consecutive quarter of double-digit growth. What stands out even more:

• Estimates increased from 12.8% at the end of December
• This happened despite the Iran conflict and recent stock market weakness

In other words, expectations are not just strong. They are getting stronger.

Companies are guiding higher

Corporate guidance is also sending a clear signal. Out of 110 companies that issued Q1 outlooks:

• 59 gave positive guidance
• 51 gave negative guidance

That balance is better than both 5-year and 10-year averages, and the number of negative outlooks is the lowest since late 2021. This suggests companies are not expecting major disruption from:

• Higher energy costs
• Slowing consumer demand

Two sectors are driving the momentum

The earnings strength is not evenly spread. Technology and Energy are leading the entire market.

• Technology: strongest number of positive outlooks
• Energy: benefiting directly from higher oil prices

Energy-sector profit estimates rose around 8%, driven by surging oil and gas prices. At the same time, Technology estimates increased even more, up 8.6%, reflecting continued demand for AI and data infrastructure.

AI demand boosts tech earnings

Even though tech stocks struggled earlier in the quarter, analysts are raising expectations across the sector.

• More than 70% of S&P 500 tech companies saw estimate increases
• AI-related demand is driving upgrades across chips and software

Key names saw sharp revisions:

• Nvidia EPS estimates increased
• Apple forecasts moved higher
• Palantir Technologies estimates jumped on AI demand

Memory and infrastructure companies are also seeing major upgrades, as AI data center demand accelerates globally.

Energy profits rise with oil

The Energy sector is also benefiting from macro conditions. As oil prices climbed, earnings expectations followed. For example, Exxon Mobil saw its EPS estimate rise significantly

Energy has now moved from flat expectations at the start of the year to strong growth, making it one of the top-performing sectors in earnings revisions.

Broad growth across the economy

Beyond Tech and Energy, the overall picture remains solid.

• 9 out of 11 S&P sectors are expected to grow earnings
• All 11 sectors are projected to increase revenue

Total revenue growth is expected at 9.7%, the strongest since 2022. Leading sectors include: Technology, Communication Services, Financials

The only weak spot is Health Care, which is expected to lag.

What this means for markets

The key takeaway is clear: Corporate earnings are holding up much better than the macro environment suggests.

Even with: High oil prices, Geopolitical tensions, Market volatility

Large US companies are still: Growing profits, Raising expectations, Guiding positively

If earnings stay strong while risks remain high… Will markets follow profits higher, or continue to trade on fear and uncertainty?

That gap between strong fundamentals and fragile sentiment is now the main story driving markets.

Related: Trump Says US Is ‘Independent’ From Middle East, Markets Say Otherwise

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post S&P 500 estimates keep rising. These stocks’ views rise most first appeared on Finblog.

Huang said Nvidia plans to return 50% of its free cash flow to shareholders in 2026 through stock buybacks or dividends, calling it “a very large number.”

AI Revenue Opportunity Could Exceed $1 Trillion

The CEO highlighted the massive scale of Nvidia’s AI business, saying the revenue opportunity from its Blackwell and Vera Rubin platforms alone could exceed $1 trillion by 2027.

Importantly, Huang noted this figure only reflects current backlog for those systems and does not include revenue from Nvidia’s broader ecosystem, including GPUs, CPUs, and storage, suggesting even more upside ahead.

Nvidia Restarts H200 Chip Production for China

Nvidia is also moving to re-enter the Chinese market, restarting manufacturing of its H200 AI chips after receiving approvals and purchase orders.

“We have received purchase orders… and we’re in the process of restarting our manufacturing,” Huang said.

The company has faced challenges due to US export restrictions and China’s push to develop domestic chips, but the restart signals renewed momentum in a key global market.

Supply Chain Ramping Up Again

Huang said Nvidia’s supply chain is now “getting fired up again”, indicating production and shipments could accelerate in the coming months.

This comes as demand for AI infrastructure continues to surge globally, with companies racing to build data centers and deploy advanced AI systems.

US Chip Shift Remains Difficult

On manufacturing, Huang warned that moving a large share of chip production to the US would not be easy.

He said shifting 40% of Taiwan’s chip production to the US would be “very difficult,” highlighting ongoing challenges in reshoring semiconductor supply chains.

Huang Pushes Back on AI Fear Narrative

The CEO also addressed concerns about artificial intelligence, arguing that some warnings are exaggerated.

“Scaring everybody about a science fiction version of AI is a little bit too arrogant,” Huang said, emphasizing the need for a more balanced and practical view of the technology.

Nvidia’s latest comments reinforce its position at the center of the global AI boom.

With trillion-dollar revenue potential, expanding global demand, and renewed access to China, the company is positioning itself for continued dominance in the AI infrastructure race.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: Nvidia Earnings Preview: A Defining Test for the AI Boom

The post Nvidia Signals Massive AI Growth, Buybacks, and China Comeback first appeared on Finblog.

Major tech names helped drive the gains.

• Meta rose 2.2%
• Nvidia gained 1.6%
• The broader technology sector advanced 1.4%

Oil Prices Fall After Recent Surge

Oil prices, which had surged in recent weeks amid the Iran conflict and disruptions around the Strait of Hormuz, fell 3% to 5% during Monday’s trading.

The drop helped calm markets that had been worried about a prolonged supply shock. However, US gasoline prices remain elevated, with the national average reaching about $3.72 per gallon, up 27% over the past month.

Investors are increasingly betting that the supply disruption could ease if shipping through the Strait of Hormuz resumes.

Dollar and Bond Yields Slide

The US dollar index fell about 0.6%, marking its largest drop in more than a month as Treasury yields declined.

Bond yields fell by as much as 7 basis points, and traders once again fully priced in the possibility of a Federal Reserve rate cut before the end of the year.

Cryptocurrency markets also moved higher, with bitcoin rising roughly 4%.

Allies Push Back on Hormuz Coalition

Meanwhile, geopolitical tensions remain high.

Several US allies, including Germany, Italy, and Spain, rejected President Donald Trump’s call for military support to reopen the Strait of Hormuz.

German Chancellor Friedrich Merz said there was no mandate from the United Nations, EU, or NATO to participate in the operation and noted that Washington did not consult Germany before launching the war with Iran.

Markets Brace for Major Central Bank Week

Investors are also preparing for a busy week in global monetary policy.

The Federal Reserve begins its two-day policy meeting, while several other central banks including the Reserve Bank of Australia will also announce interest rate decisions.

Markets will be watching closely for signals on how policymakers plan to respond to the economic uncertainty created by the Middle East conflict and volatile energy prices.

With oil markets still unstable and geopolitical tensions rising, analysts warn that financial market volatility could remain elevated in the coming weeks.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: Trump Says US Doesn’t Need Any Help With Hormuz

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Technology companies delivered solid results in the latest earnings season, driven largely by rising demand for AI chips, data centers, and cloud infrastructure. However, market reactions have been mixed, with many tech stocks falling despite strong financial performance.

AI Demand Drives Strong Earnings

Major companies reported strong revenue growth fueled by AI related spending.

• Nvidia’s revenue rose 73% year over year
• Semiconductor firms like Monolithic Power Systems and Broadcom exceeded expectations
• AI infrastructure companies including Applied Materials, Lam Research, and KLA projected strong growth

Demand for data centers and AI computing infrastructure is expected to remain strong as companies continue building large scale AI systems.

Stocks Not Following Earnings

Despite the positive earnings picture, many tech stocks have struggled in the market this year.

Several major software companies have seen sharp declines:

• ServiceNow and Salesforce down about 26%
• Oracle down over 23%
• Adobe down more than 22%
• Microsoft down over 16%

This disconnect suggests investors are increasingly focused on long term risks and AI investment costs, rather than short term earnings growth.

Key Takeaways

• Morningstar analysts say that positive fourth-quarter earnings show there’s plenty of room for the AI trade to run, even as tech stocks lag.
• Strong demand for AI products and infrastructure helped tech revenue surge, but questions remain around how long that can last.
• Software companies continue to see a mismatch in earnings growth and share price losses, with analysts tracking whether hefty AI-related investment will yield long-term returns.

Big Spending Raises Questions

Tech companies are investing heavily to stay competitive in AI.

For example, Microsoft recently announced $37.5 billion in capital spending, a sharp increase from $22.6 billion a year earlier, largely aimed at expanding data center capacity. Analysts say the key question now is whether these massive investments will eventually translate into sustainable profits.

Software Sector Faces Biggest Uncertainty

Software companies appear to face the most skepticism from investors.

Although many firms reported strong earnings and rising demand for AI powered services, markets remain unsure whether the new AI tools will generate enough revenue to justify the massive spending.

Long-Term Outlook Still Positive

Despite the uncertainty, analysts say AI adoption continues to expand rapidly across industries.

Demand for AI computing power, cloud services, and data infrastructure remains strong, suggesting the technology boom could continue for years.

For investors, the challenge is identifying which companies will turn AI investment into long term growth and which may struggle to justify the massive costs.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post What Q4 Earnings Did and Didn’t Tell Us About AI Boom and for Tech Stocks first appeared on Finblog.

The blockbuster round includes:

• $50B from Amazon
• $30B from SoftBank
• $30B from Nvidia

As part of the deal, Amazon will initially invest $15B, with an additional $35B tied to future conditions.

Strategic AI Partnerships Deepen

The agreement also expands OpenAI’s infrastructure footprint.

OpenAI will gain access to 2 gigawatts of computing capacity powered by Amazon’s Trainium chips, while AWS becomes the exclusive third party cloud provider for OpenAI Frontier, its enterprise AI platform.

Importantly, the move does not alter OpenAI’s existing ties with Microsoft. Azure will remain the exclusive cloud provider for OpenAI’s APIs, and Microsoft retains its IP licensing access across OpenAI models.

AI Investment Arms Race

The funding reflects intensifying competition among tech giants to align with OpenAI as the company ramps up spending on data centers and next generation AI infrastructure.

With Amazon, Nvidia, and SoftBank now deeply involved, the deal signals that the battle for AI dominance is entering a new phase.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: Nvidia’s $100B OpenAI Deal Was Never a Promise, Jensen Huang Says

The post OpenAI Secures $110B Funding Round, Valuation Jumps to $840B first appeared on Finblog.

This is not just another earnings report. Nvidia has become the central barometer of global AI demand, and at a time when markets are debating whether the AI investment surge is sustainable or inflated, this print carries unusual weight.

Shares have been trading below their late October highs, as some investors question whether AI enthusiasm has run too far, too fast. The company remains one of the most valuable in the world, but sentiment has cooled compared to the peak excitement of 2025.

What Traders Expect After Earnings

Options markets suggest investors are bracing for a meaningful move.

Current pricing implies Nvidia stock could swing about 5% to 6% in either direction by the end of the week. From a pre-earnings level around $190 to $196, that points to a potential range near:

• $207 on the upside
• $185 on the downside

Interestingly, this is one of the smallest implied earnings moves in several years, suggesting traders expect volatility but not chaos.

It is important to remember that this is not a prediction. It simply reflects how much movement the market is pricing in based on option costs.

Wall Street’s Expectations: The Bar Is Extremely High

Analysts broadly expect another record quarter.

Consensus estimates cluster around:

• Revenue near $65.6 billion to $66.2 billion
• Adjusted earnings per share around $1.52 to $1.54
• Year over year revenue growth near 67% to 70%
• Gross margin around 75%

That would represent massive growth for a company already generating tens of billions per quarter.

The challenge is not whether Nvidia will post strong numbers. The challenge is whether those numbers will be strong enough to exceed already elevated expectations.

Data Center Remains the Core Story

The heart of Nvidia’s business is now its Data Center segment, which has transformed the company from a gaming chip maker into the backbone of AI infrastructure.

Last quarter:

• Total revenue was $57 billion
• Data Center revenue was $51.2 billion

For this report, analysts expect Data Center revenue to be around $61 billion, up roughly 70% year over year.

This division reflects spending from major cloud and tech companies such as Alphabet, Amazon, Meta and Microsoft, all of which are pouring billions into AI infrastructure.

Investors will be listening closely to see whether that spending momentum remains strong.

What Matters Most on the Conference Call

The numbers are important. But the guidance and tone may matter even more.

1. Blackwell Chip Ramp

NVIDIA’s next-generation platform, Blackwell, is expected to power the next phase of AI expansion. Investors want clarity on: Production ramp speed, Shipment volumes, Order visibility

If management suggests demand remains broad and supply is improving, that could support the stock.

2. Margins

Margins are a key indicator of pricing power.

Nvidia previously reported gross margins in the low 70% range and guided toward mid 70%. If margins stay near or above 75%, it signals that rising production complexity is not hurting profitability.

Any margin weakness could spark concern.

3. Supply Constraints

Some analysts argue that supply chain bottlenecks, especially around advanced manufacturing capacity, could limit upside even if demand remains strong.

Investors will look for updates on capacity and delivery timelines.

China and Geopolitics

China remains a major variable.

US export controls have reshaped Nvidia’s access to the Chinese market. While certain chip sales have received conditional approval, shipments are subject to strict rules.

There are also political tensions around enforcement and technology restrictions. Any commentary on: China revenue potential, Regulatory clarity, Export approvals could move the stock sharply.

Even if China revenue is not included in this quarter’s results, guidance about future sales can influence sentiment.

Why This Moves the Entire Market

Nvidia’s weight in the S&P 500 is so large that even a mid single digit move can affect the broader index.

If Nvidia jumps 6%, it can lift tech stocks and boost overall market sentiment.
If it drops sharply, it can drag down AI related names across semiconductors, software and infrastructure.

This report will likely influence: The broader AI trade, Semiconductor stocks, Major indices, Risk appetite heading into March

The Real Question

The key issue is no longer whether Nvidia is growing.

It is whether AI spending is still accelerating or beginning to normalise. If Nvidia delivers strong results and confident guidance, it could reignite enthusiasm around the AI boom.

If guidance is cautious, even slightly, markets may interpret it as the first sign that the AI investment wave is slowing.

Wednesday’s report is not just about earnings. It is a test of the AI narrative itself.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The post Nvidia Earnings Preview: A Defining Test for the AI Boom first appeared on Finblog.

Why Non-AI Chip Stocks Matter Now

The early phase of the AI boom focused on the chips that train and run large machine-learning models. But now the spending is moving into other areas, such as:

• Power management and energy efficiency
• Sensors and real-world data capture
• Mixed-signal processing used in cars, factories, devices, and networks

These parts don’t run AI by themselves, but they are essential for making AI systems work smoothly and efficiently. That broader demand could help lift companies that supply these kinds of chips.

Six Non-AI Chip Stocks to Watch

Here are six semiconductor companies analysts say could benefit as AI adoption widens beyond core AI processors:

1. Texas Instruments (TXN): A leader in analog and mixed-signal chips, often used in industrial systems, automotive electronics, and data-center power control. Its steady business and dividend make it attractive to investors.

2. Broadcom (AVGO): Makes chips used in networking gear, servers, and storage systems — hardware that supports AI infrastructure. Broadcom’s diverse product mix gives it multiple growth avenues.

3. NXP Semiconductors (NXPI): Focuses on secure chips for vehicles, mobile devices, and edge computing. As AI is used more in cars and smart equipment, NXP’s role could grow.

4. Analog Devices (ADI): Produces sensors and converters that turn real-world signals into digital data. These are important in automation, healthcare tech, and systems that use AI at the edge.

5. Microchip Technology (MCHP): Offers microcontrollers and analog components used widely in industrial and automotive electronics — areas where AI features are being added.

6. ON Semiconductor (ON): Makes power management and sensing chips used in energy-efficient systems, data centers, and electric vehicles.

Why These Stocks Could Benefit

Analysts say the AI boom isn’t just about the most powerful chips. It’s also about the supporting technologies that help systems run efficiently:

• AI systems need efficient power delivery, which boosts demand for power-related chips.
• Sensors and converters are needed for AI to interact with the real world — for example, in robotics, autonomous driving, and industrial monitoring.
• Mixed-signal chips help bridge the gap between analog environments and digital AI systems.

Because these companies serve a range of end markets — not just AI data centers — they may show steadier growth if tech spending shifts between sectors.

What Investors Should Watch

Even though these stocks have potential, analysts warn investors to pay attention to:

• Macro conditions: A slowdown in global spending can hit chip demand.
• Supply-chain issues: Disruptions could delay production or deliveries.
• Customer demand cycles: Automotive and industrial orders can be uneven.
• Competition: The semiconductor industry remains highly competitive, with pricing pressure and rapid product cycles.

Still, because many of these companies sell into multiple markets, they could be better positioned than pure AI chipmakers if spending patterns shift.

The next phase of AI growth may not be led only by the chips that make headlines. As companies and industries adopt AI more broadly, the demand for supporting technologies like analog, power-management, and sensor chips grows too.

For investors who want exposure to the AI trend without betting only on high-volatility AI processors, these six non-AI chip stocks may offer a blend of growth potential and relative stability.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Related: Markets Brace for a Big Week: Nvidia Earnings, Tariffs, and Geopolitics Take Center Stage

The post Could these 6 non-AI chip stocks be the next leg of the AI boom? first appeared on Finblog.