Google's acrophobia is understandable; AI is the true revenue-generating engine.

In the face of the AI wave, many investors have developed “fear of heights”—worried that valuations have peaked and that there are no surprises ahead. But recently, Bank of America analyst Justin Post offered a completely different perspective: Google is entering a new, unexpectedly strong cycle driven by AI, fueled by a surge in user engagement and monetization capabilities. For those still hesitant about valuations, the biggest opportunity might have been overlooked.

Search and Video Double Engines Accelerate, Q4 Earnings Will Bring Surprises

BOA’s Q4 forecast shows a clear optimistic stance. According to their latest research, Google’s Q4 revenue is expected to reach $95.9 billion (compared to the Wall Street consensus of $95.2 billion), with EPS projected at $2.65 (versus consensus of $2.64). While these numbers seem only slightly above expectations, the underlying drivers are strong enough to dispel market doubts about AI investment returns.

The core drivers come from two directions. First, referencing Meta’s strong advertising performance, the entire ad market is recovering steadily, with Google as the dominant player in the ad ecosystem benefiting directly. More importantly, the release of Gemini 3.0 has significantly accelerated user engagement. This indicates that AI integration into search has moved from concept to real application, increasing user stickiness.

This shift is reflected in specific growth expectations. BOA has raised Google Search’s growth forecast to 15-16% (market expectations were only 13%), and YouTube’s growth forecast to 14-15% (market expectations were 13%). The acceleration of these two core business engines exceeds market consensus.

The Logic Behind $140 Billion Capital Expenditure; Meta Has Set an Example

The most aggressive forecast in the report appears in the capital expenditure section. BOA has raised its 2026 Capex expectation by 14%, reaching an astonishing $139-140 billion, well above the previous Wall Street estimate of $119 billion. At first glance, this number seems astronomical and could trigger investor anxiety and fear of heights.

But from another perspective, this scale of investment is supported by logic. Meta has already demonstrated a path: heavy investment in AI infrastructure ultimately accelerates business growth. As a recognized AI-native giant, Google, if it doesn’t ramp up investments at critical moments, would be the real risk.

The key is how the market perceives the return cycle of these investments. As long as Q1 guidance confirms that monetization pathways for AI-assisted search are opening up, and new products like Agentic AI are gaining user enthusiasm, the market will treat high investments as leading indicators of high growth, rather than negative signals—similar to how it views Meta.

Cloud Business Counterattack: How Gemini Makes Google More Competitive

Google Cloud’s competition with Microsoft Azure is subtly shifting. BOA’s report emphasizes that Google’s competitiveness relative to Azure has shown clear signs of improvement.

This improvement stems from two differentiated advantages. On one hand, the capabilities of the Gemini 3.0 model, combined with Google’s self-developed TPU chips’ cost-effectiveness, are winning more large-scale deals (industry term: mega-deals). In other words, Google is no longer just competing on price but is surpassing competitors through a combination of technical capability and cost efficiency.

On the other hand, AI-driven efficiency improvements are translating into tangible financial returns. R&D leverage effects are beginning to manifest, meaning Google Cloud’s profit margins have room for further expansion. BOA expects Q4 operating profit margins to increase by 119 basis points year-over-year, reflecting both scale advantages and the conversion of technological investments into operational efficiency.

Valuations Are High, But the Story of AI Monetization Is Just Beginning

It’s undeniable that Google’s current P/E ratio has surpassed Microsoft’s, which can be psychologically challenging for a tech company known for being “cheap.” Fear of heights is a reasonable emotional response at this point.

However, BOA’s core investment logic is that, although valuations have risen, the monetization potential of search under the “AI-native format” by 2026 is severely underestimated. AI-native search means higher user engagement and conversion rates, opening up new monetization opportunities for advertising. This potential is far from fully priced in.

Risks also need acknowledgment. Besides potential competition from OpenAI in advertising, the most immediate risk lies in Q1 guidance. If management’s growth outlook lacks highlights or merely reflects capital expenditure costs without corresponding revenue surprises, the stock could face short-term pressure.

But from BOA’s perspective, this risk is relatively low. They expect Google’s Q1 revenue guidance to reach $90.1 billion, above the market’s $88.8 billion estimate, which should support market confidence.

For those with a fear of heights, the key is understanding this shift: from a static worry that “valuations are already high” to a dynamic assessment of “AI monetization potential.” If Q4 earnings confirm that Search and YouTube are truly outperforming the market in growth, then the $140 billion capital expenditure isn’t a warning signal but a fuel for the next growth cycle. For long-term investors, now remains a critical window to position in AI infrastructure and integrated application giants.