AI for EAs: Mastering the tools of tomorrow

The question for EAs is no longer whether AI will reshape professional support roles - Mark Carter

The question for EAs is no longer whether AI will reshape professional support roles, says people and behaviour specialist Mark Carter – it’s how to leverage it strategically while maintaining the human judgement that defines exceptional EA work.

The first step is thinking about holistic value

So, before implementing any AI tool, ask how it will add value across five key areas:

  • Tangible value: Measurable efficiencies and time savings
  • Emotional value: Improved experience and confidence
  • Service value: Solving specific problems or pain points
  • Relationship value: Enhancing stakeholder connections
  • Personal value: Enabling professional growth and strategic leverage

Answering these questions with depth means more than adopting the latest innovation without strategy.

Then there are some critical considerations

  • Accuracy and bias: AI outputs are only as reliable as the data provided. Always fact-check summaries or recommendations before sharing with executives or clients.
  • Confidentiality: AI tools often require cloud-based data processing. Protect sensitive information by verifying security standards before implementation.
  • Human oversight: AI should assist, not replace, judgement. Decisions affecting people, contracts or strategy must remain under human supervision.
  • Data quality: Before leveraging AI tools, ensure the most accurate and relevant data is used. EAs are well-positioned to identify gaps in data sources given their stakeholder variety and information volume. 

Now, the implementation strategy

Rather than chasing every new AI tool, find one that demonstrates clear value alignment through due diligence, then allow consolidation. The advancement speed can feel overwhelming but focus beats fragmentation.

As an EA, you are perfectly positioned to help establish ethical AI standards, offering insights for internal AI principles covering privacy, ethical use and transparency.

Then practical applications

  1. Email and communication management

AI tools can triage inboxes, summarise long email threads, highlight urgent matters and draft responses for review. This transforms repetitive tasks into actionable insights through predictive email prioritisation.

  1. Calendar and scheduling optimisation

Beyond simple scheduling, AI can predict optimal meeting times, balance workloads and suggest agendas based on historical patterns. For executives with global teams, AI factors in time zones, priority conflicts and travel schedules.

  1. Meeting summaries and action tracking

AI transcription tools automatically generate meeting notes, action items and follow-ups, ensuring nothing slips through the cracks while allowing EAs to focus on strategy and context rather than documentation.

  1. Project and task management

AI can analyse project pipelines, forecast bottlenecks and prioritise tasks based on impact and urgency. By cross-referencing calendars, emails and collaborative platforms, AI helps maintain organisational flow and anticipate challenges before they arise.

  1. Research and insight generation

Generative AI rapidly compiles market updates, competitor briefings and analytics summaries. Preparing board papers or executive presentations becomes faster, more accurate and richer in insight, allowing EAs to add greater strategic value.

  1. Relationship and experience enhancement

AI can track preferences, communication history and patterns to personalise interactions with stakeholders. This includes reminding executives of key client interests, birthdays or recent achievements, strengthening relationships in measurable ways.

Finally, the strategic advantage

EAs who embrace AI intentionally become enhanced strategic partners, capable of anticipating needs, influencing outcomes and elevating executive impact. AI doesn’t remove the many hats you wear. It makes each hat more powerful.

The AI journey for EAs demands curiosity, ongoing learning and a mindset that balances efficiency with human connection.

When implemented thoughtfully, AI supports all five value elements simultaneously while preserving the relationship-driven expertise that defines exceptional executive support.