“AI is a tool and only brings what has been inputted into it,  humans bring creativity and discretion.”

The message from workers is clear: AI won’t replace people, but people who understand how to use AI will be better positioned to thrive.

And right now, most teams are still early in that journey.

Our latest survey of 864 business leaders and tech professionals across Australia and New Zealand shows that while AI is gaining traction in the workplace, the skills needed to use it confidently and responsibly are still catching up.

Training is happening but, for most, it’s basic at best. The result? A lot of curiosity, and a whole lot of untapped potential.

Skill levels are rising… slowly

When we asked participants to rate their current skill level using AI tools:

• Just 2.3% identified as “experts”
• 11.3% said “advanced”
• The majority sat at “intermediate” (36.5%) or “beginner” (43.7%)

This isn’t surprising in such a fast-moving field but it does highlight the need for structured support, especially with AI tools evolving week to week.

“I firmly believe that it’s through knowledge, research, and learning that people are able to develop their AI readiness skills.”

Training is happening, but most of it isn’t sticking

The good news? Most organisations are starting to take action:

• 52.4% of organisations said they’re offering some form of AI training (44.5% limited, 7.9% comprehensive)

But when we asked individuals if they had completed any training:

• 68.2% said “no”
• And just 4.4% had completed “comprehensive” training

Even among those who had received training, only 7.7% found it “extremely relevant” to their work. The disconnect suggests many training efforts are still too broad, too theoretical, or poorly timed.

It’s one thing to roll out training and it’s another to make it useful. Teams need learning that is contextual, practical, and directly tied to how they work.

Confidence gaps are slowing progress

What we’re seeing is a classic enablement gap.

The tools exist. The appetite is there. But without real capability building, usage stays shallow.

And when people aren’t confident, they hesitate or, worse, they misuse the tools. That holds back experimentation and fuels the kind of fear that makes governance trickier than it needs to be.

As one participant put it:

“It will be hard to know whether people have capability and can think strategically when everything is done for them.”

The goal isn’t to create AI experts in every role. It’s to build a workforce that’s comfortable, capable, and ready to use AI with discretion and clarity in ways that support their goals, not distract from them.

So, what should leaders do now?

If you’re serious about using AI to gain a competitive edge, upskilling can’t be an afterthought. It has to be part of your core strategy.

This means:

• Offering hands-on, role-specific learning – not just AI awareness
• Creating space for safe experimentation
• Recognising that enablement is a journey and not a one-off webinar

Because when people feel empowered, not overwhelmed, the quality of AI use goes up and so does trust in your broader business strategies.

Want to find out how your organisation compares? Download the full survey findings here to explore how others are approaching AI adoption, skills, and strategy.