The news: Market research analysts and marketing specialists landed at No. 5 among the occupations most exposed to AI takeover, according to Anthropic’s Labor Market Impacts of AI report.

• Nearly three-quarters (64.8%) of tasks marketers currently do can be handled by AI, putting the role of marketer at risk, the report.
• AI is already being used for common marketing work, including consumer research, data analysis, segmentation, strategy, forecasting, and more.

In Anthropic’s analysis of 800 roles, computer programmers, customer service representatives, data entry keyers, and medical record specialists rounded out the top five.

Zooming out: Despite Anthropic’s assessment, the news isn’t all doom and gloom. The rise of genAI is also boosting demand for roles less easily automated by large language models (LLMs), per Inc.

Communication, campaign development, and leadership are among LinkedIn’s fastest-growing skills in demand, per LinkedIn Skills on the Rise 2026.

• In the past year, LinkedIn job postings for “storytelling” have doubled, per Fortune.
• “Companies are increasingly looking for great communicators, because strong writing, clarity, and judgment still matter,” a LinkedIn spokesperson said.

Daniela Amodei, co-founder of Anthropic, told ABC News, “In a world where AI is very smart and capable of doing so many things, the things that make us human will become much more important,” She has a degree in literature.

Recommendations for marketers: Deploy AI responsibly—don’t avoid it.

• Treat genAI as an assistant. While marketers brainstorm, strategize, and write, operate AI in the background to take on market analysis or pressure testing. Feed it scenarios to surface the most possible outcomes.
• Reserve creative work for people. While AI can quickly produce text, audio, and video, its output is limited to what it’s learned, meaning humans will be the ones to invent new ideas and think outside the box. Emotional intelligence is outside of AI's skill set.
• Avoid AI brain fry. Intensive oversight of AI output increases decision fatigue and far-reaching mistakes. Instead, train the full marketing team on AI, not one or two employees, to share AI tasks.

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