News

Executive Assistants have always been at the centre of information flow. They manage communication, decisions, schedules, processes and documentation that keep leaders moving. But the skills that defined the EA profession for two decades are now being reshaped at speed. Artificial intelligence is no longer an emerging technology. It is already built into email, documents, search, scheduling and workplace systems. According to the Microsoft Work Trend Index 2024, 75 percent of professionals now use AI tools regularly, and leaders expect this number to rise sharply over the next two years.

For EAs, the question is not whether AI will change their work. It already has. The real question is which skills will fade first if EAs do not build AI fluency.

This article explores the EA capabilities most at risk, supported by insights from global research, and how mastering AI protects your value, impact and career progression.

Manual inbox triage

Most EAs spend a significant part of their day scanning, sorting and interpreting emails. This includes identifying actions, spotting risks, drafting responses and forwarding key items to their executives.

AI is already removing much of this work. The Microsoft Work Trend Index reports that AI reduces time spent on information search and message triage by up to 60 percent because it can summarise complex threads, surface decisions and propose replies instantly.

Without AI:

• An EA may review 150–200 emails per day manually
• Important tasks get buried
• Significant time is lost in re‑reading threads

With AI assistance:

• Long threads are summarised
• Actions are extracted instantly
• Suggested replies reduce drafting time

Manual triage is becoming a disappearing skill. The future EA role is not about reading faster but interpreting and actioning the insights AI generates.

Drafting communication from scratch

AI can already draft executive‑quality internal messages, external emails and agenda summaries. According to McKinsey’s 2023 “Generative AI in the Workplace” report, up to 70 percent of time spent on first‑draft writing can be automated.

EAs who do not learn to collaborate with AI will lose efficiency because:

• Drafting from scratch takes far longer
• Leaders increasingly expect polished communication quickly
• Workplace communication volumes continue to increase

AI does not replace communication judgment. But it dramatically accelerates the first draft so the EA can focus on tone, accuracy and political awareness. Those who skip AI tools simply fall behind peers who embrace them.

Manual minute taking

Minute taking has traditionally been a core EA responsibility, requiring focus, structure and fast typing. But meeting technology has leapt forward. According to Gartner’s “Future of Meetings” forecast, 70 percent of all meetings in large organisations will use AI‑supported transcription by 2025.

AI already handles:

• Full transcription
• Speaker identification
• Action extraction
• Basic summaries

This means manual note taking is no longer the primary skill. Instead, EAs must now:

• Validate AI transcripts
• Structure actions
• Confirm decisions
• Translate discussion into accurate outcomes

The skill that disappears is writing every detail. The skill that remains is turning AI output into meaningful executive actions.

Searching for information manually

EAs often spend large amounts of time finding old decisions, tracking documents or revisiting historical context. The World Economic Forum’s 2023 Future of Jobs Report highlights information retrieval as one of the top work tasks AI is expected to fully automate.

Modern AI systems can:

• Search across emails, documents, chats, OneDrive and SharePoint
• Identify previous decisions
• Surface relevant files
• Generate summaries of past projects

Manual searching is slow compared to AI‑powered knowledge retrieval. The disappearing skill is remembering where information lives. The essential modern skill is knowing how to ask the AI the right question.

Manually building reports and summaries

Reporting has always been a significant EA responsibility. Pulling information together from email conversations, meeting notes and shared files takes time.

AI changes this entirely. A Deloitte Insights report from 2024 states that AI-assisted summarisation reduces report preparation time by 30–50 percent, especially in roles involving cross‑department communication.

AI can now:

• Summarise meeting discussions
• Compile updates from multiple documents
• Create executive‑ready overviews
• Extract key themes from large text sets

If an EA does this manually, they become significantly slower compared to those who use AI to build the first draft and then refine it. The disappearing skill is manual compilation. The emerging skill is editorial judgment.

Calendar management without predictive tools

Calendar management is still a core EA responsibility, but AI is already reshaping the process. McKinsey research shows that AI-powered scheduling reduces time spent solving calendar conflicts by nearly 40 percent.

AI scheduling now supports:

• Predicting optimal meeting times
• Identifying conflicts across multiple calendars
• Assessing travel time and task load
• Proposing alternatives that require no manual back‑and‑forth

EAs who rely on manual scheduling alone will lose efficiency, while those who master AI-assisted scheduling can spend less time firefighting and more time planning.

Manual data entry and formatting

Excel formatting, copying data, generating charts or cleaning information manually is becoming unnecessary. According to the 2024 MIT Sloan “AI and Productivity” study, data transformation tasks are among the first office processes to be fully automated.

AI handles:

• Data cleaning
• Column creation
• Pattern recognition
• Basic modelling
• Chart creation

The disappearing skill is manual spreadsheet adjustment. The skill EAs need instead is knowing how to instruct AI to produce usable analysis.

Real‑world scenario

Imagine an EA supporting a senior operations leader.

Before AI skills:

• 3–4 hours per day on manual email triage
• 1–2 hours weekly chasing decisions across documents
• 2 hours per meeting cycle writing minutes
• Several hours each month preparing reports

After AI mastery:

• Thread summaries created instantly
• Meeting transcripts arrive complete with actions
• Reports drafted in minutes
• Information retrieval reduced to a single query

The EA gains back entire days per month, allowing them to shift from reactive administration to proactive executive support.

Practical takeaways

• Learn to prompt AI tools clearly
• Use AI for first drafts, not final content
• Rely on AI for structure, but apply human judgment
• Pair AI with your existing Microsoft 365 skills for better outcomes
• View AI not as a replacement but as an accelerator

Conclusion: The EAs who master AI will define the next era of the profession

AI is not replacing Executive Assistants, but it is replacing the repetitive tasks that traditionally defined the role. Global research shows that drafting, summarising, searching, scheduling and data tasks are already moving to AI. The EAs who learn AI now expand their value, speed and strategic importance. Those who do not risk being left behind as workplace expectations evolve.

If you want guided, practical training on using AI, prompting and Microsoft 365 tools at a professional EA standard, you can learn these skills in depth through:

Today’s PA Academy
and
Microsoft Copilot Masterclass