In February 2024, Gartner predicted that traditional search engine volume would fall 25% by 2026 as AI chatbots and virtual agents absorbed user queries. Two years later, the volume data points in a different direction. Google disclosed in March 2025 that it processes more than 5 trillion searches per year, up from its previous public baseline of 2 trillion. Over the same period, ChatGPT reached 1 billion monthly active users in May 2026, becoming the fastest application in history to hit that milestone.

Both channels grew at the same time. That single fact reshapes how senior leaders should plan their search investments. The evidence from usage data, retail traffic, and advertising forecasts shows that AI search expands the total discovery market rather than draining the existing one, and that the two channels serve distinct roles in the customer journey. Each of those points carries a specific budget implication, which this piece walks through in turn.

AI Search vs Traditional Search: Search Volume Data Shows Both Are Growing

The substitution thesis assumed a fixed pool of queries that AI tools would drain from search engines. The behavior data describes something different: users added a new discovery habit on top of an existing one.

Google still holds roughly 90% of the global search engine market, a share that has stayed stable for over a decade, and its absolute query volume continues to rise. Meanwhile, AI assistants scaled from a marginal category to a mainstream one. This pattern has a precedent. When mobile apps surged after 2010, analysts predicted the decline of the web; web traffic then grew for another decade because consumers stacked the new behavior on top of the old one. The same stacking dynamic explains why 5 trillion annual Google searches and 1 billion monthly ChatGPT users coexist today: many users now run the same task through both a search engine and an AI assistant, comparing a ranked list of sources against a synthesized answer.

For senior leaders, the planning implication is direct. Budget models built on the assumption that AI queries replace search queries will misallocate spend, because the total number of discovery moments a brand can win has increased.

Relevant report: The State of Search 2026 and Beyond: How AI, Automation, and Commerce Are Reshaping Discovery

AI Search Traffic Is Growing Rapidly, but Traditional Search Still Dominates

The growth rates in AI-driven discovery are steep, and the base they grow from remains small relative to established channels. Both halves of that sentence matter for resource allocation.

Adobe Analytics, which tracks more than 1 trillion visits to US retail sites, reported that AI-referred traffic to retailers grew 138% year over year in May 2026 and has grown 1,324% since Adobe began tracking the category in October 2024. During the 2025 holiday season, AI-referred retail traffic rose 693% year over year, with travel up 539% and financial services up 266%.

The quality of that traffic explains why the category deserves attention despite its size. Adobe's holiday 2025 data showed AI referrals converting 31% higher than other traffic sources, with revenue per visit up 254% year over year. By March 2026, AI-referred traffic converted 42% better than non-AI traffic. Visitors who arrive from an AI assistant have typically completed their comparison and narrowing work inside the conversation, so they land on a retail site closer to a purchase decision.

At the same time, Adobe notes that AI-referred traffic remains modest compared to paid search and email. A channel can post triple-digit growth and still account for a low single-digit share of visits. Senior leaders should read these two facts together: AI search justifies dedicated visibility work now, and traditional search still delivers the bulk of measurable demand.

How AI Search and Traditional Search Support Different Stages of the Customer Journey

Coexistence persists when two channels solve different problems, and the usage data shows exactly that division of labor.

Adobe's consumer survey work shows AI usage concentrating in research-heavy tasks: 53% of AI-using shoppers rely on it for product research and 40% for recommendations. Conversion data by category reinforces the pattern. AI-referred conversion rates run highest in considered categories such as electronics, where consumers use conversational tools to narrow options by specification and price, and lowest in categories such as apparel and grocery, where habitual, transactional search behavior dominates.

Traditional search retains structural advantages of its own. It captures explicit, high-intent queries at the moment of need, connects directly to mature paid infrastructure, and feeds measurement systems that finance teams already trust. The IAB and PwC Internet Advertising Revenue Report recorded search at $102.9 billion of the $258.6 billion in 2024 US digital advertising revenue, the largest single category at 39.8% of the market. Intent capture at that scale takes years to replicate, which is why the report frames search's durability around the moment a consumer expresses a need.

AI Advertising Growth Shows Why AI Search and Paid Search Are Converging

Follow the money and the coexistence thesis becomes even clearer, because the two channels increasingly share the same infrastructure.

eMarketer forecasts US AI ad spending will reach $32 billion in 2026 and $68.25 billion by 2030. The composition of that spend is the decisive detail: more than 80% of 2026 AI ad dollars will run through traditional paid search listings that appear alongside AI-generated results such as Google's AI Overviews, rather than inside standalone chatbot conversations. Even by 2030, eMarketer projects search-adjacent formats will still carry 58.6% of US AI ad dollars.

This means the keyword strategy, bidding infrastructure, and copy-testing capability that paid search teams operate today already manage the majority of AI ad exposure. Organizations weighing a separate AI advertising function can note that much of the required capability exists in-house.

The forecasts also show the market fragmenting rather than collapsing. eMarketer projects Google will earn 48.5% of US search ad spending in 2026, its first sub-50% share in more than two decades, with Amazon absorbing much of the shift. Search dollars are spreading across more surfaces, and total search ad spending continues to grow while they spread.

Relevant article: AI Ad Spending Will Double and More by 2030. What It Means for Search and Chatbot Advertising  

What Senior Leaders Should Do About AI Search and Traditional Search

Three actions follow from the data:

· First, protect traditional search investment, because it still carries the largest share of digital ad revenue and the highest absolute traffic volumes.  

· Second, build AI visibility now, while the channel is small, because Adobe's conversion data shows AI-referred visitors arrive better qualified and the brands cited in AI answers today are shaping consideration sets early.  

· Third, unify measurement across both channels, since eMarketer's forecasts show the majority of AI ad exposure flowing through existing paid search formats, which makes a combined view of performance both feasible and necessary.

Gartner's 2024 prediction captured a real behavioral shift, and the market responded by expanding rather than swapping one channel for the other. The organizations that treat AI search and traditional search as complementary layers of one discovery system will capture demand across both, for as long as consumers keep using both. The data says that will be years.

The Future of Search: Why AI Search and Traditional Search Will Continue to Coexist

The search market of the next several years will reward organizations that plan for addition rather than substitution. Google processes over 5 trillion searches a year while AI assistants convert retail visitors at record rates, and eMarketer's forecasts show the two channels sharing advertising infrastructure well into 2030. Senior leaders who hold their traditional search investment steady, build AI visibility while the channel remains uncrowded, and measure both through a single lens will meet their customers at every point of discovery. The companies that treat this as one connected system, rather than a contest with a single winner, will own the demand that both channels generate - and the data shows that demand is growing on both sides.

Key Takeaways

· AI search is expanding discovery, not replacing traditional search. Google continues to process more than 5 trillion searches annually while AI assistants grow rapidly, showing that consumers use both channels in parallel.  

· Traditional search remains the largest driver of measurable demand. It captures the highest-intent queries, accounts for the largest share of digital ad spend, and benefits from mature measurement capabilities.  

· AI search is growing from a smaller base but delivers high-quality traffic. AI-referred visitors are more likely to convert because much of their research and comparison happens before they reach a brand's website.  

· The two channels serve different roles in the customer journey. AI search supports research and product discovery, while traditional search excels at capturing purchase intent.  

· Most AI advertising still relies on existing search infrastructure. The majority of AI ad spend is expected to flow through search-adjacent formats, making paid search capabilities increasingly valuable.  

· Search strategies should evolve, not split. Organizations should maintain traditional search investment, build AI visibility, and measure performance across both channels as one connected discovery ecosystem.

Relevant Articles:

· Article: AI + PPC: Why Execution Is Getting Easier While Differentiation Gets Harder

· Article: How to Optimise for Generative AI Search: GEO vs. SEO

· Article: Will LLMs Replace Search Engines? How Brands Can Stay Visible in the AI Age

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Are you preparing your search strategy for how customers discover brands today? Reach out to us.

Relevant Insights

· Article: AI Ad Spending Will Double and More by 2030. What It Means for Search and Chatbot Advertising

· Article: Market Signals #5: How AI and Fragmented Attention Are Reshaping Brand Discovery  

· Article: Market Signals #4: AI Moves Deeper Into Advertising Infrastructure

About Crealytics

Crealytics is an award-winning full-funnel digital marketing agency fueling the profitable growth of over 100 well-known B2C and B2B businesses, including ASOS, The Hut Group, Staples and Urban Outfitters. A global company with an inclusive team of 100+ international employees, we operate from our hubs in Berlin, New York, Chicago, London, and Mumbai.

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