AI and Assistants: Why Dynamic Thinking Is Your Superpower

Why Dynamic Thinking for Administrative Assistants Matters More Than Ever

In February, PwC quietly let go of roughly 600 executive assistants and support staff in the US. McKinsey cut about 200 people from its technology and support functions late last year. EY and KPMG have been relocating similar roles to lower-cost markets. These aren’t projections or think pieces. They’re decisions that already happened, at four of the largest employers of assistants in the world, and the reason given every time is AI.

That’s not a hypothetical threat anymore. It’s exactly why dynamic thinking for administrative assistants matters more now than at any point in this profession’s history.

If you’re reading that news and feeling your stomach drop a little, I get it. But before you spiral, ask yourself a better question: what were those assistants actually spending their days doing? Diary management. Expense processing. Travel booking. Those are precisely the tasks AI absorbs fastest, because they’re repetitive and rules-based. None of it required the one capability that has always separated a good assistant from an indispensable one.

How Much of the Administrative Role Can AI Actually Handle in 2026?

AI can already do a lot of what used to fill an assistant’s day. Modern AI tools draft correspondence, summarize meetings, flag scheduling conflicts, reconcile expenses, and pull together first-pass research, often chained into a single workflow instead of handled one prompt at a time. That’s the real shift since 2025. Assistants used to interact with AI one task at a time: ask a chatbot to draft an email, ask it to summarize a document. Now these tools increasingly work in the background as agents, executing multi-step tasks with minimal supervision. Book the flight within policy. Adjust the calendar. Notify the traveler. All without anyone typing three separate requests.

The hiring data reflects how fast this has moved. AI tool proficiency showed up in roughly 12 percent of executive assistant job postings back in 2023. By 2026, it appears in 47 percent of them, according to LinkedIn Talent data cited in Robert Half’s hiring analysis. Employers have stopped asking whether you can use AI. They’re assuming you already do, and they want to know how well.

None of this makes AI a threat to the profession by itself. It makes AI a tool that raises the floor. The tasks that used to prove your value, getting the calendar right, catching the double booking, drafting a clean email, are quickly becoming table stakes. What separates you now is what you bring above that floor.

What AI Still Cannot Do for an Executive, and Why That Gap Is Widening

AI still cannot read a room. It cannot sense that your executive is two rough meetings away from snapping, or catch the hesitation in a colleague’s voice that signals a problem nobody has said out loud yet. It cannot build the kind of trust that makes a leader comfortable handing over their calendar, their reputation, and sometimes their blind spots. That gap is not closing. If anything, it explains why the employment data for executive assistants looks so different from the data for administrative support as a whole.

The Bureau of Labor Statistics projects overall employment in office and administrative support occupations to decline over the 2024 to 2034 decade. But executive secretaries and executive administrative assistants, the roles built around judgment and relationship rather than transactional processing, are projected to decline only about 2 percent over that same stretch. That’s a far smaller drop than the broader category. The BLS explicitly notes that executive-level roles are more resistant to automation than general clerical work. That’s not luck. That’s what happens when your value comes from anticipation and relationship instead of task completion.

“The tasks are getting automated. The role, done well, is becoming more valuable, not less.”

It lines up with how assistants themselves see it, too. In Vimcal’s 2026 survey of practicing executive assistants, 86 percent said they believe AI will enhance their role rather than replace it, and only 3 percent expect their work to be fully automated. The ones who feel that confidence tend to be the ones who have already shifted what they lead with. Not calendar management. Judgment.

What Dynamic Thinking Actually Means

Dynamic thinking is the ability to blend foresight, intuition, judgment, and relational awareness into decisions an algorithm cannot make on its own. It is what separates an assistant who works through a task list from one who sees around corners, who catches a problem before it lands on the executive’s desk, who reads the unspoken tension in a meeting and adjusts the plan without being asked, who turns a vague instruction into exactly what was actually needed.

AI can draft an email, but it cannot sense that your leader is stressed and needs a gentler tone before it goes out. It can flag project risks pulled from a dataset, but it cannot anticipate how two specific personalities on that project will react to those risks. It can hand you a dozen best practices scraped from the internet, but it cannot adapt any of them to the particular, messy culture of your team. Dynamic thinking is the layer on top of all of that. It’s the judgment call that only comes from paying close attention to people, not just processes.

Five Ways to Build Dynamic Thinking Starting This Week

Dynamic thinking is not a personality trait some assistants are born with and others aren’t. It’s a skill, and like any skill, it grows with deliberate practice. These five habits are a good place to start.

1. Practice proactive thinking. Each morning, pause and ask yourself what your leader or team might need today before anyone asks for it. Write down two proactive actions you can take. Maybe it’s prepping notes for a meeting no one has mentioned yet, or opening up calendar space for a priority you can already feel coming. Small reps like this train your brain to anticipate instead of react.
2. Tune into subtle signals. Pay attention to what isn’t being said. Notice the hesitation in someone’s voice, the shift in energy in a room, or body language that doesn’t match the words coming out of someone’s mouth. Those cues often carry more information than the conversation itself, and reading them well makes you the person who “just gets it” before anyone has to explain.
3. Build relational intelligence. Anticipation is built on relationships, not guesswork. The better you understand your leader’s style, your colleagues’ preferences, and your organization’s culture, the easier it becomes to spot needs before they surface and to head off misunderstandings early. Treat that knowledge as an asset worth investing in, not something that accumulates on its own.
4. Develop scenario foresight. When you’re deep in a project, sketch out three “what if” scenarios and rough out how you’d respond to each. What if the deadline moves? What if a partner backs out? What if resources get cut halfway through? This habit means you’re not caught flat footed when the unexpected actually happens, and it usually does.
5. Ask anticipatory questions. In conversations, push past the obvious. Ask things like “what could get in the way of this?” or “what does success actually look like six months from now?” Questions like these move everyone’s thinking forward, and they quietly establish you as a strategic partner instead of someone waiting for instructions.

Why the Assistants Who Reframe Their Role Are Pulling Ahead

The administrative professionals moving into chief of staff, operations, and AI oversight roles this year are not the ones who resisted AI the hardest. They’re the ones who stopped leading with task execution and started leading with judgment, on their resumes and in the room. When your professional story is built around calendar management and travel logistics, you’re competing directly with a tool that does those things faster and never gets tired. When it’s built around the decisions you make, the risks you catch, and the relationships you manage, you’re not competing with AI at all. You’re using it.

Microsoft’s 2026 Work Trend Index found something worth sitting with here. Organizational factors, like how a team uses AI together and whether leaders actually support that use, account for more than twice the impact on outcomes that individual mindset does. Dynamic thinking is not just a personal habit, in other words. It’s something you can push for at the team level too, by proposing how AI tools get used on your team, documenting what’s working, and becoming the person who helps your organization figure out where the human judgment needs to stay.

That’s the real opportunity hiding inside all this disruption. The tasks are getting automated. The role, done well, is becoming more valuable, not less.

Conclusion

The profession is at a real inflection point, and pretending otherwise doesn’t help anyone. Some assistants who define themselves only by their task list are genuinely at risk, and the headlines from this year prove it. But assistants who lead with foresight, judgment, and relational intelligence are not just safe. They’re becoming harder to find, which makes them more valuable, not less.

AI is not your enemy. It’s the collaborator that finally clears the busywork off your desk so you can spend your time on the work that actually requires you. The future will not belong to whoever completes the most checkboxes fastest. It will belong to the people who anticipate what’s coming, who build real trust, and who think a few steps ahead of everyone else in the room.

That’s dynamic thinking. And right now, it might be the most valuable skill in your entire career.

Key Takeaways

AI has already taken over a meaningful share of the administrative role, and the layoffs at PwC, McKinsey, EY, and KPMG in 2026 show that disruption is not theoretical anymore. The tasks disappearing fastest are the repetitive, rules-based ones: scheduling, expense processing, and travel logistics.

What is not disappearing is judgment. Executive-level assistant roles are projected to decline far less than administrative support broadly, largely because the profession’s value increasingly sits in foresight, relational trust, and the ability to read a room, none of which AI can replicate. Dynamic thinking, the deliberate practice of anticipating needs, reading subtle signals, and building genuine relationships, is what separates assistants who are thriving from those who are worried.

Assistants moving into chief of staff and operations roles right now share one thing in common: they stopped describing themselves by their task list and started describing themselves by the judgment they bring. That shift, more than any specific AI tool, is what determines who gets left behind and who moves up.

Frequently Asked Questions

Will AI replace executive assistants?

Full automation of the executive assistant role is unlikely, though it will keep changing what the job includes. Only 3 percent of executive assistants surveyed in Vimcal’s 2026 report expect full automation, while 86 percent believe AI will enhance rather than replace their work. Executive-level roles are also projected to decline far less than administrative support jobs overall, according to BLS data, since so much of the role depends on judgment and relationships, not task completion.

What is dynamic thinking for administrative assistants?

Dynamic thinking is the ability to blend foresight, intuition, judgment, and relational awareness to anticipate needs before they’re spoken, catch problems before they escalate, and adapt advice or plans to a team’s specific culture. It’s what separates an assistant who completes tasks from one who actively shapes outcomes, and it’s the layer of the job current AI tools cannot replicate.

Are administrative assistant jobs actually declining because of AI?

Some are. In 2026, PwC, McKinsey, EY, and KPMG all cut or relocated executive assistant and support roles, citing AI as the reason. But the decline is uneven. Broader office and administrative support employment is projected to shrink through 2034, while executive secretary and executive assistant roles specifically are projected to decline only about 2 percent, since they lean more heavily on judgment than routine tasks.

What skills protect administrative professionals from AI-driven layoffs?

The strongest protection comes from leading with judgment, foresight, and relationship building rather than task execution. Assistants who reframe their value around anticipating needs, managing scope, resolving ambiguity, and maintaining trust with leadership are positioning themselves for growth areas like chief of staff and operations roles, not for the parts of the job AI absorbs first.

How is AI actually changing daily administrative work right now?

AI has moved from single-prompt tools to agents that chain multiple steps together with limited supervision, handling scheduling, expense reconciliation, first-pass research, and correspondence drafting. AI tool proficiency now appears in 47 percent of executive assistant job postings, up from about 12 percent in 2023, so employers increasingly expect assistants to direct and oversee these tools rather than avoid them.