The role of the support professional has never been more dynamic. What was once centred on organisation and efficiency has evolved into something far more strategic, with technology - particularly AI - reshaping expectations at pace.
Rather than replacing roles, AI is redefining them. Administrative tasks are increasingly automated, allowing support professionals to step into positions of influence, insight and decision support. In fact, AI is already thought to improve productivity in knowledge work by up to 25%, shifting the value of human contribution higher up the chain.
So, what does it take to stay ahead this year?
Below, we explore the key skills that will not only future-proof your career, but position you as indispensable in an AI-enabled workplace.
1. AI Literacy
It is no longer enough to “use” AI tools. The real advantage lies in understanding how to direct them.
From drafting communications to summarising meetings and analysing data, AI can act as a powerful co-pilot. But those who stand out are those who can prompt effectively, sense-check outputs, and integrate AI seamlessly into workflows. Think of it less as a tool, and more as a team member you manage.
Those who develop this capability early are already seeing tangible career benefits, with AI-proficient professionals commanding significantly higher salaries and opportunities.
How to upskill:
- Learn prompt structuring (clarity, context, constraints)
- Experiment with automating repeatable workflows
- Build a personal “AI stack” tailored to your role
2. Data Confidence and Commercial Awareness
Modern support professionals are increasingly expected to interpret information, not just organise it. Whether it’s tracking budgets, analysing schedules, or supporting business decisions, a level of data fluency is becoming essential. Employers are actively seeking assistants who can understand trends and contribute to data-driven thinking.
You do not need to become a data analyst, but you do need to be comfortable asking: what does this mean, and what should we do next?
How to upskill:
- Get familiar with dashboards and reporting tools
- Use AI to break down complex data into insights
- Practice translating data into clear recommendations
3. Workflow Automation & Systems Thinking
The most effective support professionals are no longer managing tasks; they are designing systems. AI and automation tools now allow you to streamline scheduling, inbox management, reporting and internal processes. This creates time, but more importantly, it creates consistency and scale.
The shift is from execution to orchestration.
How to upskill:
- Identify repetitive tasks and automate them
- Map your executive’s workflow and optimise it
- Think in terms of processes, not one-off actions
4. Strategic Partnership & Decision Support
As AI absorbs administrative workload, the expectation is clear: support professionals move closer to the centre of the business. Today’s EAs are becoming trusted advisors, in managing priorities, anticipating challenges, and enabling better decision-making.
This requires a deeper understanding of business goals, stakeholder dynamics, and timing.
How to upskill:
- Stay informed on company strategy and objectives
- Proactively flag risks, gaps, and opportunities
- Position yourself as a sounding board, not just support
5. Emotional Intelligence in a Digital World
As technology advances, human skills are becoming more valuable, not less. Emotional intelligence, adaptability and communication remain critical differentiators. AI can process information, but it cannot build trust, read nuance, or manage complex interpersonal dynamics.
How to upskill:
- Refine stakeholder management and communication style
- Practice active listening and anticipation
- Develop confidence in handling sensitive situations
6. AI Governance, Judgment & Discretion
With greater use of AI comes greater responsibility.
Support professionals often sit at the centre of sensitive information. Understanding when to use AI (and when not to) is becoming a critical skill. Over-reliance on AI without oversight can weaken decision-making and introduce risk, making human judgment more important than ever.
How to upskill:
- Be mindful of data privacy and confidentiality
- Sense-check AI outputs before acting on them
- Maintain ownership of decisions, not just inputs
The Bottom Line
The future of support is not about competing with AI, it is about collaborating with it.
Those who will thrive are not necessarily the most technical, but the most adaptable. The ones who can combine technology, intuition and commercial awareness to elevate their role beyond execution. In many ways, the role is becoming more valuable, not less, and we want to continue supporting this, so please do look at our wider AI resources to continue to stay ahead of the curve.
Explore further blogs on AI:
Using AI to Identify Skills Gaps in Your Team
Ethical AI in Recruitment: What Businesses and Candidates Need to Know
