Let’s be honest for a second. When the conversation turns to AI in the workplace, most people quietly slot themselves into one of two camps. Camp one: “This is the most exciting thing to happen to my career in years.” Camp two: “I’m fine, I’m fine, everything is fine” – while internally doing the thing where you smile and nod and then go home and google “will AI replace my job” at midnight.
If you’ve spent any time in either of those camps lately, this article is for you.
Here’s the thing that almost nobody is talking about in the breathless AI-changes-everything conversation: how you should be responding to AI’s rise in the workplace is not a one-size-fits-all question. Your best strategy – the one that’s actually going to serve your career rather than just add to your anxiety – depends enormously on who you are and how you’re wired.
And that’s exactly where your personality type comes in.
The Landscape Right Now
Australian organisations have moved fast on AI adoption. Faster, in many ways, than the people inside them have had time to process. Tools that didn’t exist in mainstream workplaces two years ago are now embedded in how legal teams draft documents, how marketers build campaigns, how developers write code, how customer service teams handle queries, and how finance teams model scenarios.
This isn’t coming. It’s here. And the employers consistently saying they’re struggling to find the right people aren’t necessarily looking for someone who can build AI systems – they’re looking for people who can work intelligently alongside them. Adaptability, in survey after survey of Australian hiring managers, has become the skill that sits above almost everything else.
But here’s where it gets interesting. Adaptability doesn’t look the same for everyone. An Eagle adapts differently to an Owl. A Peacock’s version of “embracing AI” is going to look nothing like a Dove’s. And if you’re trying to follow generic career advice that ignores those differences, you’re probably either underpreparing or overcorrecting.
So let’s go through each of the four DOPE types – and map out what a genuinely smart AI strategy actually looks like for each one.
The Eagle: Attack It Like a Problem to Be Solved
Eagles don’t do passive. If you’re a high-D Eagle type, you’ve probably already experimented with half a dozen AI tools, formed a strong opinion on most of them, and either quietly integrated them into how you work or loudly declared one of them useless in a team meeting. (Both are very on-brand.)
The Eagle’s natural response to AI is to move towards it aggressively and figure out how to use it as a force multiplier for the things they’re already good at – making decisions faster, getting to outcomes more efficiently, having more leverage across more domains. This is genuinely the right instinct, and Eagles who are leaning into AI tools right now are building a real competitive advantage.
The strategic move for Eagles is to position themselves as the person in their organisation who drives AI adoption, not just participates in it. That means being the one who brings a new tool to the team with a clear outcome in mind. The one who spots where a manual process is ripe for automation and makes the case for change. The one who frames AI not as a threat to job security but as an accelerant for the results their organisation cares about.
The watch-out? Eagles can sometimes adopt fast and think about consequences later. The most effective Eagle approach to AI isn’t just speed – it’s strategic speed. Knowing which tools are worth your time, which workflows actually benefit from automation, and where human judgement is still irreplaceable isn’t always obvious, and the Eagles who slow down long enough to think that through will outperform the ones who are just collecting tools like Pokémon cards.
The Owl: Master It, Don’t Just Use It
For the methodical, detail-oriented Owl, the AI landscape probably feels a little bit like that scene in every 90s action movie where the hero walks into a room full of flashing lights and blinking panels and has to figure out which wire to cut. There’s a lot going on, a lot of conflicting information, and the stakes feel high.
Here’s what Owls need to hear: your instinct to understand something properly before committing to it is not a weakness in this environment. It’s actually a superpower.
AI tools are genuinely inconsistent in quality. They hallucinate. They have biases baked into their outputs. They require careful prompt design to produce reliable results. They interact differently with different workflows and different data types. All of the things that make an Owl slightly slower to adopt new tools are precisely the things that make an Owl better at evaluating, configuring, and getting reliable results from them once they do.
The Owl’s strategic move is to become the person in their field who doesn’t just use AI tools, but genuinely understands them – their limitations, their failure modes, and the conditions under which they’re trustworthy. In industries like accounting, law, engineering, and data science, where the consequences of an AI error can range from embarrassing to catastrophic, this kind of rigorous, sceptical expertise is extraordinarily valuable.
Owls should also be thinking about AI as a research and analysis accelerant. Synthesising large volumes of information, identifying patterns in complex data sets, cross-referencing sources, stress-testing assumptions – these are things AI can genuinely assist with at a level that used to require days of work. For an Owl who loves to go deep, that’s not a threat. That’s an upgrade to their existing toolkit.
The watch-out for Owls is analysis paralysis. The AI landscape is genuinely moving fast, and waiting until you have perfect information before adopting anything means you’re going to be perpetually waiting. Give yourself permission to learn by doing – just do it in a structured, bounded way that feels safe. Pick one tool. One use case. Run a proper experiment. That’s very Owl-appropriate behaviour, and it’ll get you moving.
The Peacock: Make It Part of Your Story
Peacocks, you are going to be completely fine – but probably not for the reasons you might think.
The creative and people-facing strengths that come naturally to Peacocks – communication, storytelling, generating ideas, building relationships, reading a room, making something feel exciting rather than just functional – are exactly the areas where AI currently struggles most. AI can produce content. It cannot produce connection. It can suggest ideas. It cannot tell which idea will actually land with a specific human audience in a specific moment.
That said, the Peacock’s instinct to use AI enthusiastically and expressively is a real strategic asset – if it’s channelled well. Peacocks who use AI to scale their creative output, to generate first drafts they then genuinely improve, to repurpose content across formats, to brainstorm at volume and then curate with taste – these are Peacocks who are going to look extraordinarily productive compared to peers who are still doing everything manually.
The strategic move for Peacocks is to build a public narrative around how you use AI as a creative collaborator. In fields like marketing, communications, design, and content strategy – which are deeply relevant to a lot of Australian workplaces right now – being able to articulate how you work with AI, what you bring to it that it can’t replicate, and what results you’ve achieved is a genuine point of differentiation. Peacocks love a platform. This is a very good topic to have a platform on.
The watch-out? Peacocks can be prone to running with AI-generated output without the scrutiny it needs. Factual errors, tone mismatches, ideas that sound great but won’t actually work in context – these things slip through when the review process is skipped in the excitement of producing something quickly. Build a check-your-work habit, even if it goes against your natural flow. Your reputation is built on quality, not just volume.
The Dove: Lead With What AI Can’t Replace
If you’re a Dove reading this, I want you to take a breath. Because you might have been quietly worrying about AI for longer than you’ve let on, and the narrative you’ve been feeding yourself might not be serving you.
Here’s the truth: the human skills that come most naturally to Doves – genuine empathy, the ability to make people feel heard, building trust over time, navigating emotional complexity, creating psychological safety in teams, being the person who notices when something is wrong before anyone else does – are not skills that AI is going to replicate anytime soon. They might, honestly, never be replicated. And in a world where AI is handling more and more of the transactional and cognitive work, those human skills are becoming more valuable, not less.
What Doves need to do is get better at articulating this value – in job interviews, in performance reviews, in the way they present themselves professionally. “I’m good with people” is not a differentiated claim in 2026. But “I build the kind of team trust that reduces conflict, increases retention, and makes collaboration across different working styles actually work” – that’s a claim with teeth, and it’s one a Dove can back up with examples.
The strategic move for Doves is also to get comfortable enough with AI tools to use them confidently without feeling like they’re being replaced by them. Think of AI the way you might think of a very efficient but socially oblivious assistant – it can do a lot of the background work that frees you up to do the parts only you can do. Let it draft the meeting summary. Let it organise the research. Let it generate the first version of the report. And then bring the human judgement, the contextual sensitivity, the relational awareness that makes the output actually useful to real people.
The watch-out for Doves is allowing anxiety about AI to quietly shrink your confidence at exactly the moment when your skills are most needed. The world doesn’t need fewer empathetic, trust-building humans right now. It needs more of them – operating at their best, with good tools behind them.
The Thread Running Through All of This
Here’s what I want to draw out before we wrap up, because I think it’s the thing most AI-career-advice misses entirely.
The question isn’t “will AI affect my job?” – it will, it already has, and pretending otherwise is a form of career risk in itself. The real questions are: How do I engage with this shift in a way that plays to my strengths? Where do I focus my energy? What do I invest in learning, and what do I delegate to the tools?
Those questions don’t have generic answers. They have your answers – shaped by how you think, what you value, how you communicate, and what kind of work genuinely energises you.
That’s why understanding your personality type isn’t just feel-good self-improvement fluff right now. It’s actually a navigational tool for one of the more genuinely disorienting professional moments most of us have ever experienced. Knowing whether you’re an Eagle, an Owl, a Peacock, or a Dove – or some blend of them – gives you a framework for making sense of your own reactions to AI, and for building a response that’s going to serve you rather than just adding noise.
Where to Start
If you haven’t already explored your DOPE type, the free DOPE Bird Personality Assessment at richardstep.com is a genuinely useful starting point. It’s quick, it’s free, and the self-awareness it generates is exactly the kind of clarity that helps you make smarter decisions in a noisy, fast-moving landscape.
And if you want to keep exploring from there, richardstep.com’s full library of self-tests has a range of other tools worth your time.
The AI wave isn’t waiting for anyone to feel ready. But knowing who you are – and playing to that rather than against it – is about the best preparation I know of.
So which camp have you been in lately? And does your DOPE type match the reaction you’ve been having to all of this?
Discover your personality type and start building your personalised AI strategy: take the free DOPE Bird Personality Assessment here.
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