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Pamela Eyring, president of the Protocol School of Washington, warned that growing reliance on artificial intelligence could weaken social intelligence in the workplace by reducing everyday practice of communication, listening and relationship-building. She told Fox Business that employers want staff who are "smart with AI" but who can also close "a billion, a multibillion-dollar deal." Eyring says AI’s convenience — instant answers and little pushback — can replace the push-and-pull of human exchange that tests ideas and builds trust, and that losing those interactions risks clients, deals and reputations.
Don't let artificial intelligence replace our social intelligence.
Pamela Eyring, Protocol School of Washington president
Key takeaways
- Expert: Pamela Eyring, president of the Protocol School of Washington, warned employees must retain interpersonal 'power skills' even as AI becomes more embedded at work.
- Deal risk: Eyring said employers want people who can close 'a billion, a multibillion-dollar deal,' not only those who are proficient with AI tools.
- Hiring snafu: Eyring reported job applicants have submitted AI-generated résumés that still contained placeholder brackets.
- Workplace drivers: She said remote work and COVID-19 reduced informal 'water cooler conversations' that once helped employees test ideas and receive informal coaching.
Table of contents
- Key takeaways
- Why 'power skills' still matter
- How AI’s convenience can hollow out practice
- The business cost of replacing people with automation
- How employers can keep social intelligence intact
- Case for and against preserving social intelligence
- What to be careful about
- Frequently asked questions
Why 'power skills' still matter
Eyring frames communication, listening, disagreement and relationship-building as "power skills" that remain central to business success. She uses that phrase to separate technical AI competence from the human interactions clients expect: the ability to present an idea, read a room and build trust over time.
Employers, she said, increasingly list AI familiarity among required competencies, but they still expect humans to close major transactions. That expectation drives the tension: firms want employees who can use AI to scale work while also demonstrating the judgment and presence needed when deals or client relationships turn on a conversation.
Training that focuses only on tools risks producing workers who can generate polished outputs but cannot defend or adapt them in real time. Eyring warned that losing those informal practice opportunities will hollow out the very skills companies say they value.
How AI’s convenience can hollow out practice
Eyring described a simple psychological mechanism: chatbots and assistants give agreeable, quick responses and little pushback. She said, "It doesn't dispute us. It's so nice to us, it's so good. 'Oh, that's a great idea, Pamela, let's do that.'" That smoothness deprives users of corrective friction that helps refine thinking and communication.
When employees lean on AI to draft messages, rehearse talking points or generate proposals, they remove steps where colleagues would critique or test their ideas. Over time that reduces opportunities to learn how to present under pressure, handle objections, or read subtle social cues—abilities built in conversation, not in prompts.
Eyring also pointed to concrete hiring evidence: she and clients have encountered résumés with AI placeholders left in them. Those embarrassments are a visible sign that convenience can replace attention to detail and human oversight.
The business cost of replacing people with automation
Eyring was blunt about the commercial consequences: if firms automate without preserving human connection, they risk losing clients. She said, "If it is not balanced, they are going to lose clients and that's where you lose money." The warning ties social skills directly to revenue and reputation.
Customers who cannot reach a knowledgeable person, or who eventually speak with an employee who does not understand their situation, may defect. Eyring summed the risk in two short sentences: 'Yes, it's dangerous.' That phrasing was used to underline the financial stakes, not as a technical forecast.
Her view places talent strategy at the centre of AI deployment: identify roles where human rapport preserves brand and revenue, and where automation can safely scale repeatable tasks. Failing to do so turns savings on paper into client attrition in practice.
How employers can keep social intelligence intact
Eyring urged organisations to map where human interaction creates value and to protect those points when designing AI workflows. She advised leaders to keep people in roles that require building reputation and brand through relationships, and to use AI where it augments, not replaces, connection.
She also connected the trend to culture: the shift toward casual workplace norms before and during COVID-19, plus remote work, removed many informal coaching moments. That loss means supervisors should rebuild structured opportunities for testing ideas—mentoring sessions, simulated negotiations and face-to-face client prep—so employees practise interpersonal skills.
Her final instruction distilled the argument: 'Don't let artificial intelligence replace our social intelligence.' That line serves as a practical litmus test: any AI use that reduces routine chances to communicate, disagree and listen deserves scrutiny and a human safeguard.
| Issue | AI-only outcome | Human-centered approach |
|---|---|---|
| Client conversations | Automated replies, lower pushback | Human-led negotiations and relationship-building |
| Hiring quality | AI-generated résumés with placeholders | Human review and interview-based assessment |
| Idea testing | Less friction, fewer challenges | Informal coaching and peer critique |
Case for and against preserving social intelligence
The case for
- Firms that combine AI efficiency with human relationship roles can scale service while protecting client retention, preserving the ability to close large transactions.
- Structured training and mentoring can rebuild informal coaching lost to remote work and ensure employees practise communication in real scenarios.
The case against
- If companies prioritise short-term cost savings and replace front-line staff with automation, customers may become frustrated and defect, reducing revenue.
- Organisations that allow employee people skills to atrophy will struggle to negotiate complex deals and to maintain reputations that depend on personal trust.
What to be careful about
- Automating customer-facing roles without human escalation channels will increase instances where customers cannot reach a knowledgeable person.
- Relying on AI-generated communications risks reputational damage from embarrassing or inaccurate outputs left uncorrected by humans.
- Reduced informal mentorship and fewer in-person interactions can hollow out negotiation, presentation and conflict-resolution skills over time.
The bottom line
Pamela Eyring’s warning frames AI as a tool that can amplify capacity but also displace vital human practice. The practical test she offers is organisational: keep people where relationship, judgment and persuasion create value, and use AI to automate repeatable tasks. Firms that do not preserve those interaction points risk client relationships and the ability to close substantial deals; firms that do will likely find a clearer route to scale without sacrificing trust.
What to watch
- See whether major employers publish explicit AI-and-human staffing guidelines; no date has been set.
- Look for industry groups or professional schools to launch curricula labelled around 'power skills'; no date has been set.
Frequently asked questions
Who warned about AI replacing social intelligence?
Pamela Eyring, president of the Protocol School of Washington, warned workers should retain 'power skills' — the communication and relationship-building abilities that AI cannot replicate.
What practical harm did Eyring say could follow from overreliance on AI?
Eyring said firms that go 'full steam ahead' on automation without balancing people risk losing clients and money; she used the phrase 'If it is not balanced, they are going to lose clients and that's where you lose money.'
Has AI already caused visible mistakes in hiring?
Eyring and her clients have encountered AI-generated résumés that still contained placeholder brackets, showing how overreliance on AI can produce embarrassing errors.
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