RESOURCES · Overview · White Paper · Evidence Methodology · Applied Evidence · Test Deployments · Current Thinking · FAQ
mAI Current Thinking
AI marketing systems, evidence and implementation
Research, analysis and practical guidance on the AI Marketing OS, AI Marketing Brain, Human Command, governance, GEO, measurement and the operating decisions behind applied AI marketing.
Use the articles to go deeper on specific problems while keeping the broader mAI Framework, architecture and evidence model in view.
Explore current thinking
Search the knowledge base or browse the latest research and operating guidance.

AI-Driven Marketing: Revolutionizing Healthcare in the Digital Age
January 27, 2025
4 min
Healthcare marketing is a high-governance environment for AI because marketing workflows can intersect with sensitive information, regulated[...]

AI-Driven Marketing in Financial Services: Transforming Strategy in 2025
January 19, 2025
3 min
Financial-services marketing is a high-governance environment for AI. The opportunity is not simply to automate more activity;[...]

AI-Driven Marketing: A Game-Changer for the Manufacturing Industry
January 13, 2025
3 min
Manufacturing marketing has a systems problem as much as a content or channel problem. Long buying cycles,[...]

AI Marketing in 2025: What the Transition Taught Us
January 6, 2025
5 min
Editor’s note, updated September 2026: This retrospective is preserved for historical context. The durable lesson from 2025 was that adding AI features was not enough; marketing teams increasingly needed shared context, governed workflows, reliable measurement and human decision rights.

AI Marketing in 2024: A Year of Transformation and Innovation
December 16, 2024
3 min
AI marketing in 2024 was less a single breakthrough than a transition: generative tools became easier to access, predictive and analytical capabilities became more visible inside marketing platforms, and organizations began confronting the operating questions that follow adoption,data quality, workflow…

AI Marketing for Technology Companies: A Practical Operating Playbook
December 9, 2024
3 min
Editor’s note, updated September 2026: Technology marketing benefits from AI when research, content, demand generation and measurement work from shared context rather than disconnected tools. This article is aligned to the mAI operating model: Plan → Execute → Measure → Optimize, with governance and human approval for material brand, audience and budget decisions.
Follow the operating conversation
Receive updates on AI marketing architecture, governance, measurement, search/GEO and applied implementation. No promise of frequency, only material updates worth sharing.

