We recently asked our LinkedIn community a simple question:
How are you using AI in your career?
The answers were telling. Most professionals are leveraging AI for:
· Writing and content creation
· Data analysis and insights
· Automation and workflows
· Learning new skills
AI is no longer a niche tool. It’s embedded in how we communicate, analyse, create, and grow. What was once considered a competitive advantage is quickly becoming a baseline expectation.
But as AI becomes more powerful and more accessible, a bigger question is emerging:
What does genuine skill look like now?
When AI can draft compelling articles, generate code, design visuals, summarise research, and even simulate strategic thinking - it becomes increasingly difficult to distinguish between:
· Raw talent
· Developed expertise
· And AI-assisted output
If two professionals produce equally polished work, but one relied heavily on AI while the other relied on years of experience - does it matter?
In some cases, perhaps not. After all, productivity and results are what organisations value. AI can enhance performance, improve efficiency, and unlock new levels of output. Used well, it is a multiplier.
However, the challenge arises when we try to assess capability.
The Blurred Line Between Tool and Talent
Historically, skill was easier to observe:
· Writing quality reflected writing ability.
· Analysis reflected analytical thinking.
· Design reflected creative skill.
Now, AI can elevate the baseline of almost any output. A junior professional with strong prompting skills may produce work that rivals someone with a decade of experience.
So what are we really measuring?
The conversation is shifting from:
“Can you do this?”
To:
“Can you think critically about this?”
AI can generate answers. It cannot (yet) take accountability, apply lived experience, navigate ambiguity in real-world contexts, or exercise ethical judgment independently.
That human layer still matters - deeply.
The New Competitive Advantage
As AI continues to evolve, genuine talent may become less about producing outputs and more about:
· Asking better questions
· Applying contextual judgment
· Interpreting nuance
· Making decisions under uncertainty
· Combining AI efficiency with human insight
In other words, the skill of the future may not be doing everything manually - it may be knowing when to rely on AI, when to challenge it, and when to override it.
Transparency and Trust
There is also an ethical dimension emerging. Should professionals disclose when work is AI-assisted? Will clients and employers begin valuing “AI fluency” as much as traditional expertise?
Rather than viewing AI as a threat to talent, perhaps we should view it as a filter. It raises the bar. If everyone has access to powerful tools, then differentiation comes from judgment, creativity, strategy, and emotional intelligence.
Vertex View
AI is not replacing skill - it is reshaping what skill looks like.
The professionals who thrive won’t be those who reject AI, nor those who rely on it blindly. They’ll be the ones who combine technological leverage with authentic human capability.
