AI Tech & Marketing Daily Briefing — 2026-05-13

Latest AI Tech Trends

🔐 China denied access to Anthropic's latest AI models

The New York Times revealed that China recently sought access to Anthropic’s latest AI models but was rejected. This incident highlights how cutting-edge models from companies like Anthropic and OpenAI are reinforcing U.S. dominance in AI, further intensifying the tech hegemony battle between the U.S. and China. Reports indicate that U.S. AI models are steadily widening the technical gap against China.

🔓 Google: Hackers are using AI to develop major security exploits

A new report from Google's security research team warns that the race for hackers to leverage AI for discovering network vulnerabilities has "already begun." The research demonstrates that AI is effectively being used as a real-world tool for cyberattacks. Security experts suggest that the spread of AI-driven attack techniques marks a new phase that necessitates a complete overhaul of current defense systems.

📊 Global AI adoption up 1.5% in Q1; 17.8% of global workforce now using AI

According to Microsoft's latest 'Global AI Diffusion Report,' worldwide AI usage grew from 16.3% to 17.8% in Q1 2026. This 1.5 percentage point increase over the previous quarter shows a steady expansion of AI among the working-age population. Microsoft released this data as part of a detailed analysis of the current AI adoption landscape for the first quarter of 2026.

AI Marketing Use Cases

📈 Gartner: Marketing AI automation to more than double by 2028

New research from Gartner predicts that marketing leaders will increase AI-based marketing automation from the current 16% (as of 2026) to 36% by 2028. These findings were unveiled at the 'Gartner Marketing Symposium/Xpo,' currently taking place in London (May 11-12) and Denver (June 8-10). It serves as a key indicator that marketing leaders are significantly ramping up their AI investments.

🏢 HBR: Marketing organizations need redesigning for the 'Agentic Era'

Harvard Business Review (HBR) analyzed that as AI accelerates product development and expands the scope of marketing responsibilities, most marketing organizations are struggling because they remain stuck in traditional, sequential, or siloed operating models. The proposed solution is a new human-AI agent collaboration structure centered around a 'brand code.' The 'brand code' refers to a knowledge base that encodes brand strategy, customer insights, and business rules into a machine-readable format.

Trends to Watch

🤖 The real bottleneck in AI marketing is the operating model, not the tech

Jasper's '2026 State of Marketing AI' report states that 65% of marketing teams have already established dedicated AI roles, primarily focusing on AI operations. The report emphasizes that as AI transitions from an optional tool to a necessity, the biggest constraint is within the operating model rather than the technology itself. Marketing roles and organizational structures are evolving rapidly, and companies failing to adapt risk falling behind.

🔒 AI-driven cyber threats and the shift in security paradigms

With Google’s latest report confirming that AI-powered cyberattacks are now a reality, both companies and individuals must re-evaluate their security paradigms. As reported by Politico, the race to uncover network vulnerabilities using AI is well underway, signaling a major turning point that could reshape the global cybersecurity landscape. For companies managing large-scale marketing platforms and customer data, proactive preparation against AI-based security threats has never been more critical.