Google’s Q2 2026 Earnings Signal a Shift from Search to Agentic AI — What Indian Marketers Should Know

Google’s second-quarter 2026 earnings call, held on 28 July, offered a clear signal that the company is no longer primarily a search engine in the traditional sense. Revenue rose 24% year-over-year, yet network ad revenue — the segment that includes Adsense on third-party websites — fell 1%. Chief executive Sundar Pichai repeatedly used the word “agentic” to describe the direction of Search, reinforcing that the platform is being rebuilt around completing tasks for users rather than sending them to websites.

Datos clave
| Metric | Value |
|——–|——-|
| Google total revenue growth (Q2 2026) | +24% YoY |
| Network ad revenue change | –1% YoY |
| Capital expenditure (physical assets) | $6 billion (60% servers, 40% data centers) |
| Google Cloud revenue increase | +87% YoY |

Por que importa

The earnings call confirmed that Google is spending heavily on infrastructure — $6 billion in one quarter, with 60% of that on servers and 40% on data centres — to support what Pichai described as “AGI development at the frontier.” The company is reportedly seeing more demand for its AI chips, models and computing power than it can currently meet. For Indian businesses that depend on organic search traffic from Google, the underlying message is that the old model of “10 blue links” is being replaced by an agent-driven interface.

Gemini models now power AI Overviews with a focus on intent
Google revealed that Gemini 3.5 Flash-Lite is now the primary model routing search queries for AI Overviews. The company says it is seeing “significant improvements” in understanding user intent for conversational questions. In practice, this means AI Overviews will handle more queries directly, potentially reducing the visibility of organic listings for Indian publishers and e-commerce sites that have long relied on informational queries for traffic.

Contexto

At the same time, Google released Gemini 3.6 Flash and 3.5 Flash-Lite for general use, but the most notable model discussed was Gemini 3.5 Flash Cyber. This variant powers a tool called CodeMender, which actively finds and patches code vulnerabilities in real time. While currently limited to enterprise customers, the development points to a future where security automation becomes a standard part of the web ecosystem — a consideration for Indian SaaS and e-commerce platforms managing sensitive user data.

Agentic search: from finding information to ordering groceries
Pichai announced that users will soon be able to connect directly to apps like Instacart and Canva from within the search interface. Instead of reading a recipe and manually adding ingredients to a cart, a search agent will locate the items, add them, and place the order via Instacart. For Indian users, similar integrations with local platforms could follow — though Google did not name any Indian partners in this call.

The shift means that websites will need to be “actionable” in a machine-readable way. SEO consultant Marie Haynes, who published detailed notes from the call, recommends that businesses start building tools that can be invoked by AI agents via protocols like WebMCP. An alternative path, she notes, is Google’s push to use apps from within AI Mode, which could change how the web evolves. For Indian digital marketers, the takeaway is that content strategy must now consider whether an agent can accomplish a task using the site, rather than simply read it.

Google Pay and Universal Commerce Protocol gain traction
Google highlighted “buy with Google Pay” capabilities, particularly from YouTube watched on television screens. The Universal Commerce Protocol, which enables checkout directly from search results, is currently live on a few US retailers like Wayfair and some Walmart products. Haynes reports that several of her clients are on Google’s waiting list for this feature. For Indian e-commerce platforms, this signals a coming integration where agents will not only shop but also complete payments — a development that could reshape the competitive landscape in India’s online retail market.

Cloud revenue surge and the AGI roadmap
The most striking number from the call was Google Cloud’s 87% revenue jump, driven by sales of AI infrastructure and models. This contrasts with the 1% decline in network ads. As Google allocates its massive computing resources toward AGI, the company published a paper outlining the roadmap from AGI to ASI (artificial superintelligence). While the latter remains distant, the financial commitment is unambiguous: the first priority for compute allocation is “what it takes to continue AGI development at the frontier.”

For Indian startups and enterprises using Google Cloud for AI workloads, the expansion is good news in terms of capacity. But the declining priority of traditional web advertising means that website owners who have not diversified their traffic sources may face an increasingly difficult environment.

What Indian website owners should do now
The shift from an information engine to an agent manager is already underway. AI Overviews are improving at answering queries, and agentic search will soon handle transactions. Indian publishers, e-commerce sites, and digital marketers should:
– audit their content to ensure it can be parsed and used by AI agents,
– explore the Universal Commerce Protocol if they sell products online,
– consider building tools or APIs that agents can call, rather than relying solely on pageviews,
– monitor how AI Overviews affect their organic traffic and adjust editorial strategies accordingly.

The earnings call did not provide specific timelines for when agentic features will roll out in India. Google’s global roadmap suggests a phased approach, and local regulations such as India’s Digital Personal Data Protection Act may influence the pace. However, the direction is clear. Google is building the infrastructure for a search experience that completes tasks, not just lists results. Indian digital professionals who prepare for this change today will be better positioned when it reaches full scale.

Source: Search Engine Journal — “The Future Of Search & AI: What I Learned From Google’s Latest Earnings Call” (https://www.searchenginejournal.com/the-future-of-search-ai-what-i-learned-from-googles-latest-earnings-call/583662/)

Datos clave

Punto	Detalle
Fuente	Search Engine Journal
Fecha	2026-07-28T19:00:06+00:00
Tema	The Future Of Search & AI: What I Learned From Google’s Latest Earnings Call via @sejournal, @marie_haynes