AI agents and automation tools like Power Automate, ChatGPT, and other machine-learning models [MLLs] are increasingly taking on repetitive, process-driven tasks—things that have traditionally been part of business administration to organize and deploy.
But while AI can execute, it lacks the ability to think strategically, interpret nuance, or anticipate needs. These are and will continue to be core strengths of executive assistants. As AI takes over repetitive work streams, EAs have an opportunity to step into a new role as navigators and strategic enablers.
Here’s the hard truth: AI is only as good as the input it receives. Unlike a human EA who can “read between the lines,” AI requires structured, precise instructions to generate meaningful outputs. This is where a major gap exists in organizations today.
- Leaders are constantly lifting and shifting so their communication may not be fully articulated in a manner that is concise—this is where EAs fill in the missing instruction to attain the expected output.
- AI won’t fill the gaps in executive intent—it will only amplify inefficiencies if the input is unclear.
- Context matters—AI doesn’t inherently understand nuance; it relies on well-structured prompts and logic.
Translation? EAs who hone their communication skills and learn how to give AI the right instructions will become the bridge between executives and AI systems.
Engineers and data scientists are busy building AI systems, fine-tuning MLLs, and refining algorithms. While the focus is on building AI, few are considering how it will integrate into daily business operations.
Who is ensuring that AI will be implemented in real-world business contexts?
Who is teaching executives how to use AI efficiently and effectively?
Who is managing the human layer of AI-driven workflows?
The EAs who already hone the communication skill, will become the pioneers of the next era of executive support if they embrace AI now. Instead of being replaced, they will:
- Refine AI-generated outputs to ensure they align with business needs
- Train executives on AI agents and how to give clearer instructions
- Identify automation gaps and step in where human oversight is critical
- Own AI-assisted workflows, ensuring smooth execution
There’s a lot of chatter that jobs will be replaced with AI. Possibly true, but AI won’t take over all of business administration—because the human touch remains irreplaceable. EAs will experience a transition in the workforce, especially in big tech, where “fail forward” is embraced and tested. But their steady hand will sustain the curve.
While AI is being built and refined, deployment remains the missing piece. And the EAs who prepare now—who step up as communicators, AI managers, and strategic enablers—will be the ones leading this transformation.
be prepared for what’s next
- Start experimenting with AI tools—learn their strengths and limitations.
- Sharpen your ability to give clear, structured instructions.
- Position yourself as an AI enabler, not just an end user.
- Advocate for AI training and deployment strategies within your organization.
The future of executive support isn’t about doing more manual tasks—it’s about managing and optimizing AI-driven workflows and overseeing AI agents. This is the moment for EAs to lean into curiosity and discover what’s possible. Seize the opportunity to rewrite the EA job description—one that elevates administration into AI management and strategic enablement.
AI is moving fast, and organizations need leaders who can bridge the gap between technology and execution. Engineers may be building AI, but it’s the EAs who will ensure its success behind the walls of corporate America.
AI readiness begins with EAs: deploying and managing
EA Insights
agents to drive efficiency, execution, and impact.
