Big Tech Q1 results: AI may be the story, but ads are still the business

As the first instalment of what some investors have started to jocularly refer to as Techapalooza (despite there being several different events with the same name) rolled around, the results made several things clear. Alphabet, Meta, Amazon, and Microsoft posted their Q1 earnings, beat market expectations, demonstrated a continued bet on AI and showcased the simple fact that revenues are cloud-driven but advertising-based.

Across all four companies, the narrative is clear. AI infrastructure is scaling at an unprecedented pace. Cloud businesses are expanding, capex is ballooning, and enterprise demand for AI workloads is finally translating into revenue.

Alphabet posted $109.9 billion in revenue, up 22% year‑on‑year, while Meta delivered $56.3 billion, up 33%, driven almost entirely by advertising. Amazon’s AWS touched $37.6 billion, up 28%, and Microsoft reported $77.7 billion in revenue for its FY26 Q1 (ended September 30, 2025), up 18%, anchored by Azure and AI‑driven cloud and enterprise services.

Profit margins also expanded across the board: Alphabet’s net income surged about 80% year‑on‑year, Meta’s operating margin held near 41%, and Microsoft’s cloud and search‑adjacent businesses lifted overall profitability even as all four companies ramp up AI‑related capital spending. The numbers beat expectations. The optimism holds, for now.

But so is the dependency.

Strip away the AI narrative and the underlying revenue engines look strikingly familiar. Advertising, not AI, remains the most consistent, high-margin, and scalable source of income across these platforms. What has changed is not the role of advertising, but its efficiency. AI is not replacing ads. It is making them sharper, more measurable, and ultimately more profitable.

Also Read: Ad models behind AI wars: How Google, Meta, OpenAI are approaching advertising

Google and Meta: Ads, now with AI yield

Alphabet is perhaps the clearest example of this dual reality. Its cloud business crossed $20 billion in quarterly revenue, growing over 60 percent year-on-year, with a backlog of more than $460 billion signalling sustained demand for AI workloads. Yet it is still Google’s advertising machine that anchors the business. YouTube alone generated nearly $9.9 billion in ad revenue, up from $8.9 billion a year ago, while Search and Display continue to dominate the company’s revenue mix.

What AI has done for Alphabet is not disrupt this model, but refine it. Automation in ad buying, AI-driven targeting, and improved yield optimisation are pushing margins higher even as the broader ecosystem adjusts to privacy changes and signal loss. The post-cookie world was supposed to weaken platforms like Google. Instead, AI has helped them rebuild targeting capabilities in ways that are less dependent on traditional identifiers, while keeping performance intact.

Meta tells an even more straightforward story. Of its $56.3 billion in revenue, roughly $54–55 billion came from advertising. Its operating margin sits at an enviable 41 percent, underpinned almost entirely by its ad business. The company’s pitch to investors leans heavily on AI, particularly in improving ad relevance, driving engagement on Reels, and enhancing its recommendation systems.

But this is not a pivot away from ads. It is a doubling down. AI is enabling Meta to extract more value per impression, improving conversion rates while maintaining scale. In markets like India, where monetisation has historically lagged due to lower CPMs, this becomes especially important. A massive, mobile-first user base combined with AI-driven targeting allows Meta to sustain revenue growth even as per-user monetisation remains lower than Western markets.

Amazon’s commerce-first ad play

Amazon, meanwhile, is quietly building the most structurally different ad business of the lot. Its $17.2 billion in quarterly ad revenue, growing over 20 percent year-on-year, is not driven by content or social engagement, but by commerce. Advertising on Amazon is increasingly inseparable from transactions. Sponsored listings, retail media placements, and off-platform targeting through its DSP are turning the company into a full-stack advertising and measurement ecosystem.

This shift matters because it moves advertising closer to the point of purchase. In an environment where attribution is becoming harder across platforms, Amazon offers a closed-loop system where impressions, clicks, and conversions can all be tracked within the same ecosystem. For advertisers, that is powerful. For competitors, it is difficult to replicate.

Also Read: Could multiple retail media networks thin out brand budgets?

Microsoft: AI first, ads still growing

Microsoft’s position is slightly different, but the pattern holds. Its growth story is firmly anchored in Azure and enterprise AI, but its search and news advertising business still grew 16 percent year-on-year. Through Bing, LinkedIn, and its broader advertising stack, Microsoft continues to expand its presence in digital advertising, particularly among enterprise clients.

Here, advertising is less about scale and more about integration. Microsoft is embedding ads within enterprise workflows, search experiences, and professional networks. It is not competing head-on with Google or Meta for consumer attention, but it is carving out a role as a complementary platform for advertisers looking to diversify.

India: scale engine, revenue lag

For India, these results underline a familiar but evolving dynamic. The country remains a high-volume, low-revenue market for global platforms. With one of the largest user bases for YouTube, Instagram, and Facebook, India plays a critical role in driving engagement, training AI models, and testing new ad formats. Yet its contribution to global ad revenue is still relatively modest.

India’s digital advertising market is projected to grow at around 10–12 percent CAGR, but still represents a single-digit share of global ad revenue, even as its user base continues to scale rapidly.

That is beginning to change, albeit slowly. AI-driven ad systems are improving monetisation efficiency even in lower-CPM markets. Retail media is gaining traction as e-commerce grows. Vernacular content and short-form video are expanding inventory. And cloud demand from Indian enterprises is feeding into the global AI infrastructure boom.

At the same time, India’s domestic ad-tech ecosystem finds itself in a familiar position. Platforms are becoming more powerful, not less. The third-party cookie debate, once seen as a potential leveller, has instead accelerated the shift towards walled gardens with superior data and AI capabilities. Indian advertisers and agencies are adapting by building capabilities around these platforms, rather than competing with them.

Also Read: Is Google’s India ad dominance softening?

TL;DR

What emerges from Q1 2026 is not a story of disruption, but of reinforcement. AI has not upended the digital advertising model. It has strengthened it. Platforms have more control over data, better tools for targeting, and improved systems for measurement. The result is an advertising ecosystem that is more efficient, more centralised, and arguably more dominant than before.

The irony is hard to miss. For all the talk of an AI-first future, the business model of the internet remains largely unchanged. Attention is still monetised through advertising. The difference is that the machinery behind it has become far more sophisticated.

The AI boom may define the narrative of this decade. But if these earnings are any indication, advertising will continue to define the economics.