# AI & Automation

- [Law Firm Brand Authority in AI Search: What Now Counts](https://carlosarias.co/blog/ai-automation/law-firm-brand-authority-ai-citations/): Law firm brand authority in AI search runs on independent mentions and a stated identity, not rankings. Here is what actually earns the citation.
- [ChatGPT Advertising for Law Firms: Buy the Citation](https://carlosarias.co/blog/ai-automation/chatgpt-ads-versus-geo-law-firm/): ChatGPT advertising for law firms is now permitted in the US. The ad sits below the answer. The citation sits inside it. That gap decides the budget.
- [Enterprise Model Fine-Tuning vs Prompt Engineering (2026)](https://carlosarias.co/blog/ai-automation/model-fine-tuning-vs-prompt-engineering-enterprise/): Enterprise model fine-tuning vs prompt engineering: how to tell a real quality ceiling from a bad prompt, and what training actually costs.
- [Autonomous AI Agent Security Incidents: 2026 Liability Line](https://carlosarias.co/blog/ai-automation/ai-agent-rogue-incidents-2026/): The 2026 autonomous AI agent security incidents settled a question: liability runs to the operator, not the lab. Here is the exposure and five controls.
- [Autonomous Agent Role Specialization: Anthropic's 60-Agent Run](https://carlosarias.co/blog/ai-automation/autonomous-agent-role-specialization/): Anthropic's 60-subagent math run is a working reference model for autonomous agent role specialization. Here is the role census, and how to reuse it.
- [Open-Weight AI Models in Enterprise Automation Strategy: A CTO Framework](https://carlosarias.co/blog/ai-automation/open-weight-vs-proprietary-automation-strategy/): A decision framework for open-weight AI models in enterprise automation strategy: weighing cost at scale, data residency, capability, and export risk.
- [AI-Native Cloud Infrastructure for Agent Workloads in 2026](https://carlosarias.co/blog/ai-automation/ai-native-cloud-infrastructure-agent-workloads/): AI-native cloud infrastructure for agent workloads is becoming its own category, why bursty, long-running agents break legacy cloud primitives.
- [AI Agents for Customer Discovery Automation: A Buyer's Framework](https://carlosarias.co/blog/ai-automation/ai-agents-customer-discovery-automation/): AI agents customer discovery automation hit a milestone as Listen Labs raised $69M. A framework for judging whether it can scale your interviews.
- [Multi-Agent Orchestration in Production: 5 Patterns](https://carlosarias.co/blog/ai-automation/multi-agent-orchestration-production/): Five multi-agent orchestration patterns shipping in production in 2026 (fan-out, pipeline, supervisor, swarm, debate), and why most never ship.
- [Why Autonomous AI Agents Are Making RPA Obsolete, And What to Do With Your Existing Automation Stack](https://carlosarias.co/blog/ai-automation/autonomous-agents-vs-rpa/): How to triage your existing RPA stack before the vendor roadmap forces the decision, where autonomous AI agents vs RPA breaks down by use case.
- [Build, Buy, or Automate: The 7-Question Framework Every CTO Needs for AI Agent Decisions](https://carlosarias.co/blog/ai-automation/ai-agent-build-buy-automate/): A principled AI agent build vs buy decision framework: 7 diagnostic questions drawn from documented failure patterns, real cost data, and procurement post-mortems.
- [How to Build an AI Automation ROI Business Case Your Board Will Actually Approve](https://carlosarias.co/blog/ai-automation/ai-automation-roi-business-case/): A board-ready AI automation ROI business case template built from published benchmarks: FTE savings model, payback period formula, and FinOps cost stack.

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Source: https://carlosarias.co/blog/categories/ai-automation/