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Category: Thoughts

AI Infrastructure Financing Can Fake Demand

George on September 11, 2026

AI infrastructure financing feedback loop around data center capacity

Supplier-backed capital can make infrastructure demand look stronger than the workloads beneath it. Fund measured utilization, not market optimism.

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AI Is Killing the Interface, Not the SaaS Moat

George on September 10, 2026

Abstract blue and teal agent workflow illustrating a durable SaaS moat

AI agents may erase much of the SaaS interface, but strong systems of record and workflow engines become more valuable as a result.

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AI Agent Testing Needs a Crash-Test Facility

George on September 9, 2026

Abstract blue and teal AI agent testing crash-test environment

Enterprise AI agents fail in the gaps between systems, permissions, and people. Operators need repeatable crash-test environments before granting autonomy.

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Your AI Agent Infrastructure Has the Wrong Bottleneck

George on September 8, 2026

Abstract AI agent infrastructure showing orchestration around model compute

The model is rarely the whole bottleneck. Agent economics depend on the tool calls, orchestration, retries, and approvals around it.

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Proprietary AI Model: A $40 Million Warning

George on September 7, 2026

Abstract proprietary AI model inside a controlled business infrastructure

Thomson Reuters spent $40 million to build its own AI model. The lesson for operators is not to copy the investment. It is to understand the conditions that made ownership rational.

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Enterprise AI Transformation Starts With Boring Work

George on September 4, 2026

enterprise AI transformation built on unified data systems

Verizon’s AI now handles most inbound consumer calls and chats. The real lesson is the multi-year data consolidation that came first.

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Local AI Hardware Is Not a Privacy Strategy

George on September 3, 2026

Abstract local AI hardware cluster with a visible inference bottleneck

A $16,000 local AI cluster can keep data private. That still does not make it a sound business decision. Start with the workload, not the hardware.

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Uber Just Paid €825 Million for Automated Decisions Nobody Explained

George on September 2, 2026

Abstract blue and teal decision-tree pattern symbolizing automated decisions in business systems

The second largest GDPR fine in history was not about a data breach. It punished automated decisions nobody explained. Operators everywhere should take notes.

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AI-Written Support Tickets Are Coming. Trust Them Less.

George on September 1, 2026

Abstract blue and teal waves representing AI-written support tickets flowing into a queue

Customers’ AI assistants will soon draft their support messages. Fluent tickets are about to stop being a signal of anything.

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The Resolution Gap: Your AI Closed the Chat. Nobody Closed the Case.

George on August 31, 2026

Abstract blue and teal illustration of a glowing bridge over a dark chasm, symbolizing the resolution gap in AI customer support

New data puts a number on the resolution gap: fast AI answers, unresolved issues, and trust lost at the handoff. Here is how to actually close it.

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