Public Unfazed by AI Taking SEO Jobs

New research from Harvard suggests that the public has relatively few concerns about artificial intelligence taking over search marketing roles.

The study asked people to rate how morally acceptable they would find it for machines to take over 940 different occupations, using a scale from 1 to 7. Search marketing strategists scored just 2.31, placing the profession towards the bottom of the list.

Only file clerks received a lower score among the occupations highlighted by the researchers. By comparison, clergy scored 5.91 and childcare workers 5.86, suggesting that people are far more reluctant to see AI replace roles they consider to involve a stronger human element.

For SEO professionals, the findings raise an uncomfortable question: how much protection does human involvement actually provide when AI becomes capable of doing the work effectively?

What the Harvard Research Found

The research was led by James Riley, an Assistant Professor at Harvard Business School. His survey involved 2,357 participants who were asked to consider whether different jobs should be automated.

The results suggest that public resistance to AI replacing workers is not necessarily based on a strong moral objection.

With today’s AI capabilities, respondents supported full automation for around 30% of the occupations examined. When they were asked to imagine a more advanced form of AI that could outperform people while costing less, support for automation increased to approximately 58%.

Only around 12% of occupations continued to attract strong resistance to automation regardless of how capable the technology was. These included professions such as clergy, childcare workers and athletes.

A further 42% of occupations fell somewhere in the middle, with respondents showing no particularly strong preference either way.

This suggests that capability may matter more than principle. If AI cannot perform a job particularly well, people are less willing to hand it over to machines. But once the technology becomes demonstrably better, opposition appears to weaken.

That could be particularly significant for search marketing.

Why SEO May Be Particularly Exposed

Search marketing already scored close to the bottom of the occupations examined by Harvard.

That does not necessarily mean the public wants SEO professionals to disappear. Instead, it suggests there is relatively little moral resistance to the idea of AI carrying out this type of work.

The distinction is important.

If people believe a human is better at a particular task, they are more likely to favour human involvement. But if an AI system can produce better results more quickly and at a lower cost, that preference can change.

For an industry increasingly built around data analysis, content creation, technical optimisation and repetitive processes, SEO could therefore be vulnerable as AI capabilities improve.

The question may no longer be whether people want humans doing the work, but whether humans can continue to demonstrate that they add more value.

Another Harvard Study Offers More Context

Separate research from Harvard Business School looked at how people choose between humans and algorithms when making decisions.

Elisabeth Paulson and Kirk Bansak conducted an experiment involving around 9,000 participants. People were asked to choose between a human or an algorithm for decisions involving bank loans and pretrial release.

Overall, participants showed a preference for human decision-makers, even when performance was taken into account. The human preference was 4.3 percentage points for loan decisions and 7.6 percentage points for pretrial release decisions.

However, the researchers found something more revealing when they looked at what participants already believed about AI.

Among people who thought algorithms performed better than humans, 54% chose the algorithm for loan decisions and 56% selected it for pretrial release. Those who believed humans were better tended to choose the human decision-maker instead.

In other words, people’s preference was closely connected to their perception of who could actually do the job better.

That finding reinforces Riley’s research. Human involvement may not be protected simply because people value it. Competence appears to be a much more important factor.

AI’s Capability Is Improving

There is already evidence that AI can improve the quality of certain types of knowledge work.

Researchers including Raffaella Sadun and Karim Lakhani studied 791 product developers at Procter & Gamble. Participants worked either individually, in teams, or with access to an internal GPT-4 tool.

The strongest ideas produced by AI-assisted teams were three times more likely to rank among the top 10% for quality than ideas created by individuals working without AI assistance.

AI users also reported greater enthusiasm and energy, alongside lower levels of anxiety and frustration.

Although the research focused on product development rather than SEO, there is an obvious overlap. Both fields involve research, generating ideas, analysing information and producing content.

If AI can already improve performance in these areas, the argument that humans are inherently better at knowledge-based creative work becomes harder to maintain.

The Rise of Agentic AI

AI is also moving beyond simple content generation.

Harvard Business School’s Tsedal Neeley and Expedia Group’s Ritcha Ranjan have explored the potential of agentic AI, where systems can carry out more complex tasks with limited human supervision.

Their vision includes AI acting in roles such as a chief of staff, competitive intelligence analyst or executive coach.

For businesses adopting these systems, the recommendation is to begin with repetitive tasks that employees find tedious before gradually moving towards more important responsibilities.

This approach could have major implications for SEO.

Tasks such as internal link checks, meta description drafting, reporting and log-file analysis are already suitable for automation. As AI becomes more reliable, increasingly complex parts of search marketing could potentially follow.

What Does This Mean for SEO Professionals?

The research does not mean that SEO jobs are about to disappear.

Instead, it highlights why relying on the idea that people simply prefer human work may not be enough.

SEO professionals need to demonstrate the value that humans bring to the process, particularly in areas where judgement, experience and accountability matter.

Put a Real Person Behind AI-Assisted Content

AI-generated or AI-assisted content should still have clear human ownership.

Rather than publishing material under a vague byline such as “Editorial Team”, businesses should identify the person responsible for reviewing and approving the content.

A visible author with relevant experience, professional credentials and a track record gives readers a way to assess who is accountable for the information being published.

Show Results, Not Just Processes

It is also becoming more important to demonstrate what your work actually achieves.

Instead of simply explaining your SEO process, consider showing measurable outcomes where appropriate. Evidence of improved rankings, traffic, conversions or other meaningful results can demonstrate the value of human expertise.

The Harvard research suggests that perceptions of competence play an important role in whether people trust humans or algorithms.

Automate the Repetitive Work

AI is particularly useful for tasks that are repetitive, time-consuming and relatively low risk.

SEO teams can use it to assist with activities such as:

Internal linking audits
Initial meta description drafts
Large-scale data analysis
Log-file analysis
Content research
Routine reporting

Human oversight should remain particularly important where decisions could affect a client’s money, a reader’s trust or the accuracy of published information.

Human Expertise Still Has a Role

Harvard’s findings should not be interpreted as proof that people no longer care about human expertise.

Instead, they point towards a changing definition of its value.

If AI can perform a task just as well as a person, public resistance to automation may be relatively low. But where experience, judgement, accountability and specialist knowledge make a measurable difference, there is still a strong reason to keep humans involved.

For SEO professionals, that means simply being human may not be enough.

The stronger strategy is to prove why human input produces better results, while using AI to handle the work that machines can already perform efficiently.

As AI search and automation continue to develop, the professionals most likely to remain valuable may not be those who avoid AI, but those who know where it works best and where human judgement still matters.