For me, the strongest evidence would be sustained revenue growth from AI services, improving free cash flow and margins, and clear signs that customer demand is keeping pace with infrastructure spending. I would also watch how quickly companies turn new data centre capacity into revenue. If earnings grow faster than capital expenditure over several quarters, that would give me more confidence that today’s AI spending can deliver attractive long-term returns. Until then, I think investors should be selective rather than assuming every AI-related company will benefit equally.

I think free cash flow is the most important factor right now. The AI opportunity is real, but not every company spending billions will generate attractive returns. Microsoft looks better positioned to justify its investment through cloud growth, while Alphabet needs to show that its rising AI spending can translate into stronger profits. I believe the next phase of the AI rally will reward companies that can turn spending into cash, rather than simply those spending the most.

Choosing an ETF is relatively easy when markets are rising. The real challenge comes when your investment underperforms, other investors are celebrating bigger gains, and you start wondering whether you should have chosen something else. If I were choosing one ETF to accumulate regularly over the long term, I would consider the Vanguard Total World Stock ETF (VT). My reason is not that I expect it to deliver the highest returns every year. Instead, I like the idea of investing across global markets without having to predict which country, sector or group of companies will lead the next decade. However, there is a trade-off that every VT investor needs to understand: global diversification can mean accepting periods of underperformance while other markets take the lead. 1. Why VT would be m

The memory trade is heating up again, but the biggest question is whether strong industry results can translate into another round of earnings surprises. On Wednesday, $SK Hynix(000660.KS)$ surged 13.30%, $Micron(MU)$ gained 5.86%, and $SanDisk(SNDK)$ climbed 7.66%. The rally followed record results from SK Hynix and encouraging profit guidance from Samsung, strengthening expectations that the memory upcycle still has room to run. The numbers are striking. SK Hynix reported KRW 104.6 trillion in revenue and KRW 83.3 trillion in operating profit. Samsung guided for KRW 195 trillion in revenue and KRW 107.4 trillion in operating profit. These are Samsung’s preliminary guidance figures, not final reported results. Now attention turns to SanDisk, which is scheduled to report earnings early Fri

The latest earnings from $Microsoft(MSFT)$ and $Alphabet(GOOGL)$ have highlighted an important divide in the AI trade: strong demand does not automatically translate into strong financial returns. Microsoft reported $92.3 billion in revenue and adjusted earnings of $4.89 per share, while Azure grew 48%. Alphabet reported $127.58 billion in revenue and earnings of $2.12 per share, missing market expectations according to the reported results. Following the announcements, Microsoft shares rose 3.45% after hours, while Alphabet fell 9.93%. The contrast raises a bigger question for the market: How much evidence do investors need before they believe AI spending will generate attractive returns? Three other companies offer different perspectives on this question. 1. Amazon: Can AWS growth justif

The Fed kept interest rates at 3.75%–4.00% on Wednesday, but the market reaction suggests investors are looking beyond the headline. The Nasdaq-100 ETF $Invesco QQQ Trust(QQQ)$ gained 0.60%, while the S&P 500 rose 0.28%. Within technology, however, $Advanced Micro Devices(AMD)$ climbed 3.24% while $NVIDIA(NVDA)$ fell 1.17%. This divergence is worth watching. Investors are not necessarily abandoning technology stocks, but they may be becoming more selective about which companies can justify their valuations. 1. A rate pause does not guarantee a technology rally The Fed’s decision to hold rates steady provides some stability, but it does not mean borrowing costs will fall soon. Inflation remains above the Fed’s 2% target, and two officials dissented in favour of a rate increase. The cent

$Microsoft(MSFT)$  $Alphabet(GOOG)$  $Alphabet(GOOGL)$   The AI trade is facing a new test, and Microsoft and Alphabet are offering investors two different stories. On Wednesday, October 28, Microsoft shares rose after the company beat expectations for quarterly cloud revenue, providing fresh evidence that its substantial AI investments could be translating into business growth. Alphabet, meanwhile, came under heavy pressure after missing Wall Street’s revenue and profit expectations, with accelerating AI spending adding to concerns about cash flow. The contrast is worth watching. Both companies are investing heavily to compete in A

Alphabet shares came under heavy selling pressure in after-hours trading on Wednesday, falling more than 10% after the Google parent missed Wall Street’s profit and revenue expectations. At the same time, accelerating AI spending raised fresh concerns about its cash flow. For a company at the centre of the AI revolution, this reaction sends an important message: being a leader in AI is not enough. Investors also want to know when that leadership will translate into stronger financial returns. The market has spent much of the past few years rewarding companies positioned to benefit from AI. However, as investment in data centres, computing infrastructure and AI models continues to expand, attention is shifting from the size of the opportunity to the cost of capturing it. Alphabet is now fac

I’d choose B — memory pricing and margin sustainability. HBM4 adoption is important, but even strong AI demand may not protect earnings if memory prices peak or competition increases. The key is whether SK Hynix can maintain pricing power and profitability as supply expands. Growth matters, but the price paid for that growth matters just as much.

Two technology giants are reporting earnings, but the biggest question may not be how quickly their AI businesses are growing. It is whether AI will strengthen their existing business models or gradually undermine them. Microsoft and Alphabet are both investing heavily in artificial intelligence. Yet their biggest opportunities and risks are different. Microsoft wants AI to make its enterprise ecosystem more valuable, while Alphabet must grow its AI business without weakening the search and advertising engine that has powered its profits for years. That difference could become increasingly important as investors assess their long-term growth prospects. 1. Google’s challenge: Protecting the search cash machine Alphabet’s traditional strength is its ability to connect users with information

Tesla rose 5.21% on Monday while SpaceX ($SPCX) slipped 0.40%. The divergence highlights an important question: are investors increasingly valuing Tesla for its autonomous driving ambitions rather than its traditional electric vehicle business? ARK Invest’s latest model puts Tesla’s potential share price at $4,400 by 2031, with Robotaxi accounting for roughly 80% of projected enterprise value. That is an extremely ambitious long-term forecast, not a guaranteed outcome. But it shows just how much Tesla’s valuation could depend on turning autonomous driving into a large, profitable business. 1. Why Robotaxi could change Tesla’s economics Tesla’s traditional business depends heavily on selling vehicles. Revenue is generated when customers buy cars, and growth requires continued demand, produc

The AI infrastructure boom has entered a new phase. Having access to GPUs is no longer enough. Companies must also prove they can finance expensive infrastructure, secure reliable customers, and generate enough cash to justify the investment. SpaceX’s reported $40 billion debt financing deal highlights this divide. Elon Musk says the funding will support GPU purchases, while warning that more than 200 AI cloud providers could face consolidation or failure. SpaceX has an advantage that many smaller competitors lack: revenue from Starlink and rocket launches, alongside its AI business. That gives lenders a broader source of repayment than AI computing alone. But this raises a bigger question: if the AI opportunity is so attractive, why are financing conditions becoming such an important risk

AI infrastructure spending is creating an unusual situation in the semiconductor industry. Memory, traditionally viewed as a cyclical business vulnerable to oversupply, is becoming a critical part of the AI investment story. SK Hynix’s reported third-quarter revenue of ₩104.6 trillion and operating profit of ₩83.3 trillion highlight the extraordinary profitability described in the latest market update. Seagate also delivered strong results, reporting $4.23 billion in revenue and $1.5 billion in free cash flow, while Teradyne exceeded expectations. The rally is no longer just about GPUs. It increasingly includes the memory, storage and testing equipment required to support expanding AI infrastructure. But record results create a difficult question for investors: Are these companies benefiti

The AI trade is showing signs of life again. After weeks of selling pressure driven by concerns about excessive spending, debt and stretched valuations, investors returned to AI-related stocks on Tuesday. The Nasdaq Composite gained around 1.2%, while some of the hardest-hit infrastructure names staged strong rebounds. Nebius jumped 11.2%, CoreWeave rose 8%, Dell gained 7.5%, and connectivity companies Credo Technology and Astera Labs climbed more than 10% each. The catalyst? Anthropic’s IPO filing appears to have reassured investors about the scale of demand for AI services. Anthropic’s growth changes the conversation According to the figures cited in the report, Anthropic generated $16.3 billion in revenue during the first half of the year, nearly 14 times the amount recorded in the comp

AI stocks have delivered enormous excitement, but a growing question deserves attention: what happens if the money flowing into AI infrastructure grows faster than the profits it generates? Andreessen Horowitz’s latest State of the Markets report presents a bullish picture of technology, highlighting rapid revenue growth, rising AI demand and massive investment in data centres. Yet some of the figures discussed in the report also raise important questions about the sustainability of the boom. 1. Spending is racing ahead of proven returns Major cloud companies are investing heavily in AI chips, data centres, networking and electricity infrastructure. These investments may support future growth, but they also consume cash today. The challenge is that infrastructure spending does not automati

Markets may get the October pause they expect, but investors should be careful about treating it as a signal that monetary policy is about to become easier. Major global banks are largely expecting the Federal Reserve to hold rates steady in October, with many forecasting another 25-basis-point hike in December. Some also see the possibility of a further increase in March if inflation remains stubborn. That creates a difficult backdrop for stocks, particularly companies whose valuations depend on future growth. The bigger issue is December, not October Goldman Sachs, Citigroup, Morgan Stanley, Nomura and other institutions are among those expecting the Fed to pause before potentially tightening again in December. TD Securities and Morgan Stanley also anticipate a possible March increase, d

The AI boom has created enormous attention around GPUs and high-bandwidth memory. But building AI infrastructure requires much more than powerful processors. Data must be stored, chips must be tested, and entire systems must operate reliably at scale. That makes Seagate and Teradyne worth watching as their earnings arrive. Seagate: The storage side of AI AI models generate and process huge volumes of data. Training datasets, enterprise information and archived data all require storage capacity. Seagate specialises in hard disk drives, which remain important for large-scale, cost-efficient data storage. If cloud providers continue expanding their data centres, demand for storage could benefit alongside demand for computing power. The key question is whether stronger demand translates into b

The AI rally is gaining momentum just as the Federal Reserve prepares to make its next policy decision. On Tuesday, QQQ rose 1.27% and SPY gained 0.56%, with investors positioning ahead of the announcement. Semiconductors led the advance. AMD jumped 5.45%, Broadcom gained 4.00%, and Nvidia added 0.90%. The pattern suggests investors are still willing to pay for exposure to AI infrastructure, but the wider market remains more selective. The real question is whether earnings can justify the rally if interest rates stay higher for longer. 1. The market is rewarding AI spending — for now AMD and Broadcom have attracted attention as demand expands beyond traditional GPUs into custom AI accelerators and networking infrastructure. These businesses could benefit as cloud providers and AI developer

Coca-Cola has become an unlikely standout in a consumer sector facing pressure from rising living costs and increasingly cautious shoppers. Its shares have gained more than 30% in 2026, pushing expectations higher ahead of Tuesday’s earnings report. Wall Street expects third-quarter revenue of approximately $12.92 billion, up around 4.1% year over year, and adjusted earnings of $0.88 per share, compared with $0.82 a year earlier. Those are respectable growth expectations. But after such a strong share-price rally, simply meeting forecasts may not be enough to drive the next leg higher. 1. Can consumers keep paying for branded drinks? Coca-Cola benefits from powerful brands and global distribution, giving it more pricing power than many consumer businesses. However, higher grocery and fuel

Meta has increased its common stock offering from $22.5 billion to $25 billion, pricing the shares at $625 each. It has also priced 250 million depositary shares representing mandatory convertible preferred stock at $50 each. Together, the two public offerings amount to approximately $37.5 billion. Meta also plans a separate share-sale programme of up to $60 billion, potentially taking its total planned fundraising to $97.5 billion. The money is intended to support Meta’s expanding AI infrastructure and its ambitions to develop more advanced AI products. But the size of the fundraising raises an important question: how much capital will it take before AI investment starts generating returns that justify the cost? 1. Why raise equity instead of relying only on cash? Meta is committing enorm