Which enterprise function should be the first to hand decision-making over to AI?

Sarah Guo · Apr 28, 2023

Law is a strong early AI market because it is a text-in, text-out profession where large models can do much of a first-year legal associate's work end to end.

The profession's inputs and outputs are text, which is exactly what large models handle, and replacing that work is very valuable.

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Lucas Swisher · Feb 23, 2026

Law was one of the clearest early markets for language models because LLMs are text-in-text-out and law is one of the most text-heavy professions, with document generation and analysis as the obvious first use cases.

He had already seen early traction in document generation and analysis, and Winston's articulation matched the thesis exactly.

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Alex Bouaziz · Oct 22, 2025

AI will impact Deel most in pure operations, automating the manual tasks currently done by thousands of operations staff via agents

Deel is an operations-heavy business with a couple thousand operations people worldwide doing tasks that can be automated through agentic software and the infrastructure being built

33:13 Operations is first because manual repetitive tasks are most automatable

Nikesh Arora · Jun 22, 2026

Marketing is the function where enterprises should relinquish control to AI first, because the frontier models already hold the world's best marketing training data

Marketing is by definition public domain, so the training data is already in the models; the only thing left to teach is brand and tone of voice, and models can already flag collateral that is inconsistent with a company's brand

14:02 Marketing first because its training data is already public

Micha Kaufman · Jun 9, 2025

AI in marketing is not yet ripe for automation the way it is in programming, and the past year has been an awakening from the illusion that marketing could be fully automated

Coding copilots automate robotic work developers hated (hunting libraries, copy-pasting from open source), whereas marketing output is consumed by human eyes and ears and requires deep understanding of human behavior

47:58 Marketing lags far behind coding in ai automation readiness