How can you grow your career in an AI world?

The headlines are inescapable. Every day brings a new breakthrough in artificial intelligence, accompanied by a mix of excitement and apprehension. There is a lingering question in the minds of many professionals: will this technology replace me? 

It is a valid concern, but it frames the conversation in a way that misses the true opportunity. The rise of AI is not necessarily about replacement. It’s about elevation. As algorithms become capable of handling the technical execution of tasks – the coding, the data processing, the drafting – the value of human contribution is shifting higher up the value chain. 

We are entering an era where technical proficiency alone is no longer the primary differentiator. Instead, success will be defined by your ability to set the direction, interpret the context and guide the outcome. We are moving away from being the operators of the machine to becoming the architects of the vision. 

The great shift from ‘how’ to ‘what’ 

For decades, professional value was largely measured by your ability to execute the "how." How do I build this financial model? How do I write this code? How do I structure this marketing campaign? These were technical skills that required years of training to master. 

Generative AI is rapidly democratising the "how." Tools can now debug code, draft emails and analyse spreadsheets in seconds. If your primary value proposition is strictly execution, the landscape is indeed becoming more competitive. However, this automation creates a vacuum that only human intelligence can fill: the "what." 

Ben Carr, a UNSW alumnus with degrees in Psychology and Technology Management and a consultant with over 25 years of experience, captures this transition perfectly. 

"AI is going to shift roles, but it's also an accelerator for how we work," Carr says. "The focus will move from 'how' to 'what' – understanding the bigger picture and the vision. When the execution gets faster, the real differentiator becomes your judgement about what's actually worth doing." 

In this new paradigm, your value lies in defining the problem, not just executing the solution. It is about knowing what needs to be built, what questions need to be answered and what the strategic implications are for your organisation. The AI is the engine, but you must remain the driver. 

Reclaiming space for strategy and connection 

One of the most immediate benefits of this shift is the return of time. When you spend less time on manual processes and repetitive tasks, you gain the bandwidth to focus on high-value activities that have been pushed to the margins: strategic thinking and relationship management. 

Shirley Bowles, a UNSW AGSM alumna, notes that this transition is already underway in sectors like finance and data science. 

"Technology is reshaping roles, reducing manual processes and opening up space for strategic thinking and relationship management," Bowles explains. "AI is freeing people from mundane tasks, allowing them to focus on process improvement and client service." 

She also highlights the importance of human judgement. AI can surface data and trends, but interpreting what they mean in context remains a distinctly human skill. 

"Look at the data, look at the trend and overlay that with what's going on in the world to form your own view," she advises. 

The new definition of leadership 

As the focus shifts to vision and strategy, our understanding of leadership must evolve in tandem. In a world where knowledge is accessible to everyone instantly, being the person with "all the answers" is no longer a sustainable leadership model. 

Leadership in an AI-enabled world is less about command and control and more about influence and alignment. It requires guiding teams through ambiguity when there is no historical data to rely on. 

"Leadership isn’t about authority – it’s about building trust, setting a vision and guiding people through uncertainty," says Carr. 

This sentiment is echoed by Bowles, who emphasises that leadership is about conviction. When AI can provide five different strategic options in seconds, a leader needs the judgement to choose the right one and the communication skills to rally the organisation behind it. 

This type of leadership is not reserved for C-suite executives. Whether you are managing a small project or a large division, the ability to facilitate trust and provide clarity is a critical asset. 

Asking better questions 

If the AI provides the answers, humans must provide the questions. The quality of the output you get from any intelligent system is directly dependent on the quality of the input you provide. This is why critical thinking and curiosity are becoming the most sought-after skills in the modern workforce. 

Adeline Chu, a UNSW alumna with a background in Commerce, Marketing and Organisational Behaviour and Managing Partner at Emsee Health, suggests that technical mastery is less important than the ability to interrogate the technology. 

"AI is moving so quickly that last year’s innovation is already old news," Chu says. "It’s about what capabilities it enables and how it solves problems." 

To stay relevant, you do not need to know how to build the AI model from scratch. You need to understand its capabilities and limitations well enough to direct it effectively. 

"Learn enough to ask intelligent questions, then talk to someone in the field," Chu advises. "That’s how you build expertise." 

This "inquisitive capability" allows you to bridge the gap between technical potential and business reality. It is about looking at a generated report and asking: Does this make sense in the current geopolitical climate? Is this ethical? Does this align with our brand values? 

Integrating the 'left field' view 

AI operates on patterns found in existing data. It is excellent at prediction based on the past, but it can struggle with true novelty or interdisciplinary leaps. This is another area where human perspective is vital. 

Innovation often happens at the intersection of unrelated fields – where biology meets engineering or where psychology meets finance. To maintain a competitive edge, you should cultivate a broad curiosity that extends beyond your immediate job description. 

"Don’t just focus on your field – listen to things that are completely left field," Carr suggests. "You’ll be surprised at how many interconnections there are." 

By broadening your horizons, you feed your mind with diverse inputs that AI models might overlook. You can draw parallels between a concept in art history and a problem in supply chain management. These "left field" connections are the spark of human creativity that algorithms have yet to replicate. 

Data requires a human overlay 

We have access to more data than ever before, but data without context is just noise. While AI excels at crunching the numbers, humans are needed to interpret what those numbers mean for society and the market. 

Bowles highlights the importance of this synthesis: "Look at the data, look at the trend and overlay that with what’s going on in the world to form your own view." 

For example, an algorithm might recommend a supply chain route based on efficiency and cost. A human strategist, however, would look at that same data and overlay it with knowledge of rising political tensions in a specific region, an upcoming regulatory change or a shift in consumer sentiment regarding sustainability. 

This ability to synthesise quantitative data with qualitative world experience is the hallmark of modern strategic capability. It transforms raw information into wisdom. 

How to advance your career amid uncertain times 

The transition from "how" to "what" is not something that will happen in the distant future; it is the reality of the current market. To navigate this shift effectively, you need to focus on developing the capabilities that machines cannot easily replicate. 

1. Cultivate adaptability 
The tools you use today might be obsolete in two years. The specific software does not matter as much as your ability to adapt to new workflows. As Carr notes: "The habits you build now will support you when things change. Be structured, adaptable and always ready to learn something new."  

Adaptability is a skill you build through action. Stay curious, test new tools and keep your focus on the bigger strategic picture. 

2. Strengthen your network 
In a digital world, human connection is premium currency. "Soft skills lead to strong networks and strong networks help you find your tribe and create opportunities," says Chu. Your professional network provides the support, insight and opportunities that an algorithm cannot. 

3. Focus on the bigger picture 
Resist the urge to get lost in the weeds of execution. Constantly ask yourself how your current task connects to the broader organisational goals. Train yourself to look for the "what" and the "why" in every project. 

Embracing the accelerator 

It is natural to feel uncertainty when the ground shifts beneath your feet. But this technological evolution offers a chance to shed the repetitive parts of work and embrace the creative, strategic and human elements that drove you to your career in the first place. 

By moving your focus from the "how" to the "what," you stop competing with the machine and start using it as a lever to lift your potential. You become the visionary who sees the destination, using AI as the vehicle to get there faster. 

Ready to lead through AI-driven change 

The shift from doing the work to directing it rewards those who think strategically. If you're ready to sharpen that thinking and prepare for the future of leadership, a postgraduate program can be a powerful next step. Alongside our programs in data science, management and FinTech, UNSW Online now offers a new suite of AI leadership and strategy programs built to help you guide teams, organisations and decisions through constant change. Explore where your next step could take you and start building the capabilities to lead what comes next.