How Will AI Change Google Ads in the Next 2 Years?
How Will AI Change Google Ads in the Next 2 Years?
AI is transforming Google Ads through AI Max for Search (automated keyword expansion delivering 14% more conversions), Performance Max (full-funnel automation across all Google properties), generative ad creative (AI-written RSA headlines and descriptions), and AI Overviews (changing how users interact with search results). By 2028, manual keyword management and ad copywriting will be largely automated — the advertiser’s role shifts from execution to strategy.
What AI Features Has Google Already Launched?
Google has rolled out five major AI features in 2025–2026. Performance Max campaigns use AI for targeting, bidding, and creative across all Google surfaces. AI Max for Search automatically expands keyword matching using generative AI, delivering 14% more conversions for exact and phrase match campaigns. Automatically Created Assets (ACA) generates additional RSA headlines and descriptions from landing page content. Conversational Campaign Creation lets advertisers build campaigns through natural language chat. Smart Bidding improvements use more contextual signals for per-auction bid optimization. Each feature shifts control from manual settings to AI-driven automation.
How Will AI Overviews Change Google Ads?
AI Overviews (formerly SGE) show AI-generated summaries at the top of search results for informational queries. This impacts ads in two ways. First, organic click-through rates decline as users get answers without clicking — increasing the value of paid Search positions above the AI Overview. Second, new ad placements within or alongside AI Overviews are emerging, creating new advertising inventory. Google has begun testing sponsored results within AI Overviews — advertisers who prepare now will be first-movers when these placements scale. The key strategy: ensure your landing pages and product data are structured so Google’s AI can accurately represent your offerings.
What Will Advertisers Need to Do Differently?
| Traditional Approach (2020–2024) | AI-Driven Approach (2026–2028) |
|---|---|
| Manual keyword research and bidding | AI Max handles keyword expansion |
| Write ad copy manually | AI generates and tests headlines |
| Set audience targeting manually | Performance Max finds audiences |
| Analyze data in spreadsheets | AI surfaces insights and anomalies |
| Manage bids per keyword | Smart Bidding optimizes per auction |
| Build landing pages per keyword | AI adapts page experience per user |
The advertiser’s role evolves from execution (picking keywords, writing ads, setting bids) to strategy (defining business goals, providing brand context, evaluating AI recommendations, and creating unique creative concepts AI cannot generate). Tactical execution becomes automated while strategic direction remains human.
Will AI Make Google Ads Agencies Obsolete?
No — but it will transform what agencies do. Google’s AI automates tactical execution (keyword management, bid optimization, ad copy testing), which was a significant portion of agency work. Agencies must evolve to provide strategic value: cross-platform strategy, creative development, data analysis and business intelligence, and AI tool selection and orchestration. Agencies that simply manage Google Ads settings will be replaced by AI. Agencies that combine AI tools with strategic thinking, cross-platform expertise, and creative capabilities will be more valuable than ever.
How Should I Prepare for AI-Driven Google Ads?
Four preparation steps. First, adopt Performance Max and AI Max now to build AI optimization data. Second, invest in first-party data collection (email lists, CRM data) — AI performs better with more signal data. Third, focus on creative differentiation — as AI automates targeting and bidding, creative becomes the primary competitive advantage. Fourth, use cross-platform AI tools like Leo that provide strategic oversight above Google’s platform-native AI — ensuring your Google Ads strategy coordinates with Meta and LinkedIn rather than operating in a silo.