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Public Barely Objects To AI Replacing SEOs Harvard Study

3 hours ago

Harvard's James Riley scored 940 jobs on moral objection to automation. Search marketing came in at 2.31 out of 7 - near the bottom.

Search marketing strategists rank near the bottom of a Harvard survey measuring how much the American public objects to handing jobs over to machines. On a scale of 1 to 7, respondents scored the moral objection to automating search marketing at just 2.31 - a signal that the public has little concern about artificial intelligence taking over the work.

The figure comes from research by Assistant Professor James Riley, who asked the public to score 940 different occupations on how morally objectionable it would be to automate each one. Of the 10 occupations Harvard charted, only file clerks scored lower than search marketing strategists. At the opposite end sat clergy at 5.91 and childcare workers at 5.86 - roles the public strongly resists handing to machines.

Riley's survey drew on 2,357 respondents across the 940 jobs. The 2.31 score for search marketing is only part of what he found. Based on AI's current capabilities, the public supports fully automating roughly 30% of the occupations he tested.

The research appears in "AI in 2026: From Adoption to Agentic," a February 2026 roundup published by HBS Working Knowledge. The collection bundles five previously published pieces. Two of them report on original experiments, and those carry the main findings.

The first, titled "People Are Mostly OK With AI Taking Over Many Jobs - Up to a Point," draws on Riley's October 2025 study and its occupation-scoring survey. The second, "Who Should Approve Bank Loans: People or Algorithms?", references work by Assistant Professor Elisabeth Paulson, co-authored with Kirk Bansak in 2024.

The numbers cut against a common assumption inside the industry: that search marketing enjoys some protected status because the public cares whether a human or a machine does the work. The Harvard data does not support that idea. Whatever stands between these jobs and full automation, it is not the public's conscience.

The scores also show how the public draws lines. Roles built on human judgment, trust and care - clergy, childcare - sit high on the objection scale. Administrative and technical roles that the public sees as rules-based, including file clerks and search marketers, sit low. The closer a job looks to a repeatable process, the less resistance there is to automating it.

For those working in search marketing, the finding reframes the question. The public's comfort with automation says nothing about whether AI can actually do the work well. It says only that few people would object on moral grounds if it did. That distinction matters for how practitioners position their value and how they publish content going forward.

Harvard AI study, search marketing automation, James Riley, AI job automation, SEO jobs AI, HBS Working Knowledge, moral objection automation, AI in 2026

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