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What we learned from last week’s Big Tech earnings marathon

What we learned from last week’s Big Tech earnings marathon

This earnings season has laid bare a split within Big Tech that could define the next phase of the artificial intelligence boom.

The largest technology firms, once propelled by boundless investor enthusiasm for machine learning and cloud computing, now face a market that is less easily impressed. Investors have begun to reward discipline and punish excess.

The pattern has been clear across the sector’s latest results. Alphabet and Amazon, the two firms most adept at converting their AI investments into immediate financial returns, delivered quarters that strengthened their leadership. Apple produced solid if unspectacular growth. Meta and Microsoft, once hailed as champions of AI innovation, met sharp market pushback over rising capital expenditure. Tesla’s disappointing earnings confirmed a broader mood of caution. Nvidia, whose results later this month will serve as a test for the entire sector, stands at a delicate juncture.

Alphabet: a convincing demonstration

Alphabet’s NASDAQ:GOOGL figures offered the most convincing demonstration of AI’s profitable application. The Google parent surpassed $100 billion in quarterly revenue for the first time, propelled by a 34% jump in its cloud business and a 13% recovery in advertising. Its shares hit record highs as investors recognised a rare combination of growth, efficiency and cash generation. Alphabet has achieved what many others still promise: turning the costs of AI infrastructure into sustainable revenue expansion.

Amazon’s NASDAQ:AMZN performance reinforced the same narrative. Quarterly revenue rose about 13% to roughly $180 billion, while profits climbed 40%. Amazon Web Services, the group’s crown jewel, expanded by nearly 20% to $33 billion despite a global outage earlier in the period. The company has managed to couple AI-driven demand with greater operational discipline, restoring confidence that its vast cloud empire can grow without undermining margins.

Apple’s NASDAQ:AAPL results pointed to resilience rather than reinvention. Revenues climbed 8% to $102.5 billion, supported by record income from services, which reached $28.7 billion. The core iPhone business was steady, though sales in China slipped 4%. Apple’s long transition toward higher-margin digital services has allowed it to offset stagnation in hardware, preserving its reputation as a reliable, cash-rich compounder.


Elsewhere, the contrast was less flattering. Meta’s shares tumbled more than 10% after the company revealed plans to lift capital spending to as much as $72 billion to fund new data centres and AI expansion. Microsoft NASDAQ:MSFT also disappointed investors, despite strong results, as concerns grew over rising costs linked to its partnership with OpenAI. Both firms remain well placed strategically, but their exuberance is now being measured against tougher expectations for immediate profitability.

Tesla report adds to downbeat tone

Tesla’s report added to the downbeat tone. Earnings fell short as automotive margins narrowed and global demand softened. Its longer-term ambitions in robotics and autonomous systems are vast, yet investors appear unconvinced that these will offset near-term pressures from higher costs and intensifying competition.


All eyes now turn to Nvidia NASDAQ:NVDA, whose report on November 19 will serve as a barometer for the entire AI complex. After a year of record-breaking valuation gains, the chipmaker’s ability to justify its lofty price with real earnings will be closely watched.

The Armchair Trader view

Taken together, this earnings cycle suggests a turning point in market psychology. The frenzy surrounding AI has not vanished, but it has matured. Investors are now demanding evidence of profitability, not just potential. The age of easy faith in technological transformation is giving way to a more discriminating phase, one in which Big Tech’s champions will be judged not by how much they promise, but by how efficiently they deliver.

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This article does not constitute investment advice.  Do your own research or consult a professional advisor.

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