Three major model releases in a single week, ads arriving in AI search results, and a landmark acquisition that signals where SEO is heading. Paul and Martin cut through the noise.

This week saw an unprecedented flurry of model releases: Google's Gemini 3 Pro stormed the benchmarks, only for Anthropic's Opus 4.5 to arrive days later with superior coding performance. We unpack what these advances mean for marketers, from Nano Banana Pro's near-production-ready image generation to Opus's orchestration capabilities for multi-agent workflows. Beyond the model wars, we examine Gartner's 2026 predictions—including a warning about critical thinking atrophy—and debate the implications of ads appearing in AI overviews. Adobe's $1.9 billion acquisition of SEMrush closes the episode, raising questions about the future of generative engine optimisation.

Key Takeaways

• Gemini 3 Pro benchmarks: Scored 45.8% on Humanity's Last Exam versus the previous high of 26.5%, and doubled ScreenSpot Pro accuracy to 72%—critical for agent-based computer use.
• Opus 4.5 efficiency: Achieved 81% accuracy on software engineering tasks using 12,000 tokens, while Sonnet 4.5 needed 22,000 tokens for 77% accuracy.
• Nano Banana Pro: Now handles up to 5 consistent characters and 14 objects in a scene, making product imagery workflows increasingly viable.
• Gartner's lazy thinking warning: Predicts 50% of organisations will require AI-free skills assessments by 2026 as critical thinking atrophies.
• B2B procurement shift: Gartner forecasts 90% of B2B buying will be AI-agent intermediated by 2028, pushing $15 trillion through agent exchanges.
• Ads in AI search: Google has begun placing sponsored links in AI overviews; reports suggest ChatGPT may follow.
• Adobe acquires SEMrush: The $1.9 billion deal validates generative engine optimisation as a strategic priority.

What to Do Now

• Test your own use cases: Benchmarks are directional; run Gemini 3 Pro and Opus 4.5 against your specific workflows before switching daily drivers.
• Experiment with Nano Banana Pro: If you need consistent product imagery, trial multi-character and multi-object prompts to assess production readiness.
• Protect critical thinking: Build review processes where humans form independent judgments before consulting AI—especially for strategic decisions.
• Prepare for agent-readable content: Convert key product documentation from PDFs to markdown to ensure AI procurement agents can parse your information.
• Monitor AI ad placements: Track emerging ad formats in Google AI overviews and prepare to test early for potential first-mover advantages.

Mentioned in This Episode

• Models: Gemini 3 Pro, Nano Banana Pro, Opus 4.5, Sonnet 4.5, Haiku 4.5, GPT 5.1, DeepSeek 3.2
• Platforms/Features: AI Overviews, AI Mode, Veo 3.1, Claude Code
• Companies: Google, Anthropic, OpenAI, Adobe, SEMrush, Microsoft, HSBC, McKinsey, Gartner
• Benchmarks: Humanity's Last Exam, ScreenSpot Pro, VendingBench, SWE-bench, GPQA Diamond

Subscribe and Share

New episodes of Artificially Intelligent Marketing drop weekly. Subscribe on your preferred platform and share your questions or AI experiments with us on LinkedIn—we may feature them in a future episode.