Agentic AI: Discover your persona [quiz] & what it means

Agentic AI is the next evolution beyond traditional AI—reshaping the future of work and the future of learning with AI.  

Agentic AI is here. And (if it hasn’t already!) it’s ready to make you look like the genius who saw the future coming. Think of it as AI that doesn't wait to be asked, because it can read the room, spot the gaps, and act. Have you been working to build a learning culture that’s less reactive and more relevant?You’re in the right place.  

If you're in HR or L&D and you ask someone what “using AI” means, you’ll get a different answer depending on who you ask. This is the answer that can change how people learn at work that changes your job — and why the shift isn’t as scary as it sounds.

The World Economic Forum estimates that nearly 40% of workforce skills will be outdated by 2030. That's not a technology problem, it's a learning problem. And it's the problem agentic AI is built to solve. Which means the people responsible for learning are about to matter more, not less.

Meet Agentic AI: Think strategist, not assistant

Think of this article as a backstage pass to the next evolution of workplace intelligence, especially as it pertains to your learning culture. Read on to discover: 

• The differences in traditional and agentic AI 

• What the future of learning looks like when AI starts thinking like a strategist 

• A (fun) quiz about AI personas at work (personality meets productivity!) 

• A blast-from-the-past video link that might make you laugh—and totally nails the AI vibe shift 

Traditional AI vs agentic AI ‍

The evolving landscape of AI at work 

Wondering how Agentic AI differs from traditional AI? Here’s what sets them apart and why it matters for workplace learning. 

Agentic AI is the next evolution of workplace intelligence. If you haven’t heard of it before, you’re not behind... you’re right on time. Traditional AI follows instructions and answers questions. Agentic AI adds something else to the mix—understanding your goals and adapting to change.

Are you old enough to remember the Mac vs PC ads (if not, there’s a link down below you can follow to treat yourself to a YouTube rabbit hole), you’ll instantly understand this comparison.

One was depicted as buttoned-up, rule-following, and a little…beige. The other was presented as more outgoing and intuitive—it knew how to get things done without making it feel like work. But unlike the Mac vs PC showdown, you don’t have to choose between traditional or agentic AI. You can use both, depending on the results you want. 

What’s traditional AI and how do I use it for workplace learning? 

‍Traditional AI is the rule follower. And there’s nothing wrong with that energy. It’s tidy, reliable, efficient, and great at doing what it’s told. When prompted, it will recommend courses, sort files, or summarize and tag content. Think of it as your ultra-organized assistant who never forgets a task but won’t take initiative. Totally fine. And tremendously functional as an artificial learning in business use case. 

What’s agentic AI and how can it help build my company’s learning program?  ‍

Agentic AI is the strategist. It doesn’t only wait for your instructions via fabulous prompts—it predicts needs, connects dots, and scales insight. It's helping to shape the future of learning with AI through adaptive, personalized learning paths.  

While traditional AI reacts, agentic AI acts. It might whisper sweet nothings like, “Hey, your onboarding flow seems to be losing engagement after Day 3. Want to check it out and fix it before your retention levels tank?” It’s proactive and perceptive (also, maybe a bit magical). 

According to McKinsey’s 2025 report on AI at work, almost all companies are investing in AI but only 1% of them consider themselves to be using AI to its full potential. Their research finds that the biggest obstacle is not employees, but leaders who aren’t getting onboard fast enough. Whether you've been experimenting with AI for a while or you're still deciding if it's worth your time, the shift to agentic AI is worth understanding now.  

Automation → amplification  
Task-doer → thought-partner  
"Nice-to-have” → “how-did-we-ever-do-this-without-it”  

Traditional AI summary: the assistant model

Traditional AI works like an ultra-efficient, reactive assistant. It waits for explicit instructions and follows them. It doesn’t make decisions or take initiative beyond what it’s told. Great for repetition! Not the best for nuance. 

Key traits: 

• Reactive, not proactive 

• Struggles with ambiguity 

• Requires step-by-step instructions 

• Doesn’t make decisions or adapt 

Example: You ask your LMS to assign a new cybersecurity course to all employees. Basic AI will obediently send it out! But...it won’t notice that half the team finished it already. Or exclude the folks that don’t need to take it. Or tell you that the course is missing a quiz. 

Agentic AI: the independent agent model 

Agentic AI acts more like a problem-solving agent. It understands goals, reads between the lines, makes decisions, and takes initiative to complete tasks—even when obstacles arise. 

Key traits: 

• Proactive and goal-driven 

• Capable of reasoning and adapting 

• Executes multi-step tasks independently 

• Makes decisions based on context 

For example, if you ask an agentic AI to roll out that new cybersecurity course, it will check who needs it, skip those who’ve done it, flag the missing assessment, and maybe even suggest nudges to the managers who have low team engagement. 

Of course, as an HR or L&D leader focused on building your best learning culture, knowing what agentic AI is capable of means you want to keep this technology on your radar!

Traditional AI vs. Agentic AI and building the future of learning: 

With Agentic AI personalization in learning will become scalable, and planning will be predictive. And your L&D team will be the crew that sets the pace! 

AI and why HR and L&D leaders should get curious ‍

Who doesn’t want problem-solvers on their side?! 

Agentic AI is autonomous, goal-driven, and adaptive. It doesn’t just generate content—it acts on it. It doesn’t wait for instructions—it plans, executes, and learns.  

According to IBM, agentic AI systems are made up of intelligent agents that mimic human decision-making to solve problems in real time.  

It’s like having a team of hard-working interns who don’t complain that there are no coconut-topped donuts at the meeting. They're not replacing your judgment, they're handling the setup so you can show up to the meeting and bring the kind of value only humans can. Agentic agents can coordinate, adapt, and even improve over time—handling complex, multi-step tasks with minimal supervision. McKinsey says almost all companies are investing in AI but just 1% believe they are integrated in their workflows. 
 
Sure, there are a lot of very legit AI adoption challenges and concerns, but the reality is that if you’re not embracing AI—or at least considering its potential—you could be left behind. 

Why should any of this matter to you and your team? 

Which HR persona are you in the age of AI? ‍

Ardent avoider or early adopter...which persona are you?  

AIHR is a global HR research and training institute, they surveyed over 1,500 HR professionals to understand how the profession is actually responding to AI, not just how leaders say it should. 

Before we get into what agentic AI will look like in practice, it's worth knowing where you're starting from. Take two minutes with this quiz. Your result will shape how the next section lands. 

Agentic AI, through the lens of four personas ‍

Four AI adoption personas in HR — and why they matter  

AI adoption in HR is more about behavior than tools. According to AIHR, the extent to which HR professionals embrace AI depends on their mindset, environment, and perceived value of the tech. Based on these factors, AIHR identifies four adoption personas:  The skeptical avoider | The reluctant user | The active explorer | The adoption champion 

Which AI adoption persona are you? 

This quiz is inspired by the four AI adoption personas identified by AIHR, but it’s not affiliated with their research and it’s definitely not scientific. Think of it as a playful way to reflect on your relationship with AI — no pressure, just vibes.

Whether you’re a skeptical avoider, a reluctant user, an active explorer, or a full-on adoption champion, this quiz is here to spark curiosity and maybe a few laughs. Use your result as a conversation starter, not a diagnosis. Keep track of your points and discover where you might fit into the spectrum.

1. When someone mentions AI in your team meetings, your first thought is: 

A. “Ooh, I wonder if there’s a new tool I haven’t tried yet?” (3 points) 

B. “Run fast, run far. Here come the useless buzzwords.” (1 point) 

C. “Yes! I want to talk use cases and pilot programs.” (4 points) 

D. “Ugh, I should probably learn a bit more about this.” (2 points) 

2. Your current relationship with AI tools looks like: 

A. I’ve used a few, but mostly because I had to. (2 points) 

B. I’m building internal resources and training other people. (4 points) 

C. Nope. None. Nonexistent. I actively avoid them. (1 point) 

D. I’ve tested several and have a few favorites I use often. (3 points) 

3. What’s your biggest concern about AI in the workplace? 

A. Falling behind. Not embarrassed to say I'm motivated by FOMO here. (2 points) 

B. Bias, ethics, and the potential to replace people (like me!). (1 point) 

C. That we’re already behind and our people need to catch up fast. (4 points) 

D. Rushing ahead, scared we’ll adopt shiny tools without a clear strategy. (3 points) 

4. When a colleague casually shows you the thing they “built with AI” over the weekend, your internal reaction is: 

A. How did they do that so I can steal — er learn — it? (3 points) 

B. Ugh. Another reason I wish I’d have lived in the 60s. That should be human-led. (1 point) 

C. Interesting... Let’s document and scale that! (4 points) 

D. Impressive. Should I finally sign up for that workshop? (2 points) 

5. How do you feel about AI making decisions in learning pathways or performance reviews? 

A. Curious—if it’s transparent and fair, I’m interested. (3 points) 

B. Deeply, terribly uncomfortable. That should be human-led. (1 point) 

C. Excited. It could reduce bias and improve outcomes. (4 points) 

D. Skeptical, but open to seeing how it works. (2 points) 

6. If your company offered an AI-powered L&D platform tomorrow, what would you do? 

A. Dive in and explore the features. (3 points) 

B. Ask for a full risk assessment and a big opt-out clause. (1 point)

C. Volunteer to lead the rollout. (4 points)

D. Try it (cautiously!) and write down about a billion questions. (2 points)

AI persona scoring and actions  

6–9 points → Skeptical avoider 

Totally not swayed by the hype! You’re thoughtful, cautious, and not easily swayed by trends in tech. You value ethics and human judgment—and you need solid evidence before jumping in. 

Action step: 

Homework: Read one cas study where AI improved a specific HR process (e.g., onboarding, performance reviews, or internal mobility). 

Goal: Identify one area in your workflow where AI could reduce repetitive tasks without compromising human judgment. Take it to your team to discuss and hear their perspectives. 

Ask your LMS partner: “Does our LMS use AI to personalize learning paths? If so, how is that personalization determined—and can I look at it with you and ask questions?” 

10–14 points → Reluctant user 

You’re pragmatic, open-minded...and not yet convinced. You’ve tested the waters and are waiting for something that truly clicks. 

Action step: 

Homework: Try a low-risk AI tool for a real task—like summarizing meeting notes or drafting a job description. 

Goal: Reflect on what worked, what didn’t, and what kind of support or training would make future use easier. 

Ask your LMS partner: “What AI features are currently active in our LMS, and how can I test them?” 

15–18 points → Active explorer 

You’re curious and proactive. You see the potential and want to experiment—but you also want structure and support. 

Action step: 

Homework: Propose a small pilot project using agentic AI—like analyzing learning engagement data or personalizing training paths. 

Goal: Document outcomes and share learnings with your team to build internal momentum.

Ask your LMS partner: “Can our LMS detect drop-off points in learning journeys and suggest interventions automatically?” 

19–24 points → Adoption champion 

You’re leading the charge. You believe in the power of agentic AI and are already helping others navigate the shift. 

Action step: 

Homework: Host a mini-workshop or lunch-and-learn to demystify AI for your HR peers. 

Goal: Build a cross-functional AI learning community and start shaping your org’s AI adoption roadmap. 

Ask your LMS partner: “What’s the roadmap for agentic AI features in our LMS? Are there APIs or integrations we can use to expand its capabilities?” 

Absorb customers: Ask about Aura

Looking ahead: How Agentic AI will level up workplace learning at scale 

AI, but make it personal 

Now that you have an idea about where you stand on the AI adoption continuum, it might be time to consider how agentic AI might soon impact your work. For certain, it’s a strategic shift. Besides the obvious benefit of building hyper-personalized learning paths, it will be able to better align learning with business goals, reduce admin burden, and deliver measurable impact on productivity, retention, and performance. 

What will this look like in the real world? 

1. AI: From assistant to strategist 

Your agentic AI will plan, adapt, and align learning with your organization’s evolving priorities. Think of it as a learning strategist that’ll: 

• Map skills to strategic objectives 

• Auto-update learning paths when goals shift 

• Integrate with your HRIS to keep everything in sync 

2. Align training with business goals 

One of the biggest questions L&D leaders ask: How will agentic AI be able to align training with our organization’s business goals? 

Agentic AI will connect the dots between learning outcomes and KPIs. It won't just track completions—it’ll track capability growth. 

• Automate assignments based on role, skill gaps, or performance data 

• Deliver just-in-time, relevant learning 

• Use real-time analytics to prove ROI 

3. Measurable impact: productivity, retention, and beyond 

Let’s talk numbers. When agentic AI comes on board with your learning and development programs, you’ll likely see: 

• Faster onboarding through personalized learning paths, using microlearning principles 

• Higher course completion rates via adaptive content delivery 

• Improved retention by aligning learning with career growth 

4. Reduction of the admin burden (so your focus can stay on strategy) 

If your HR or L&D team is drowning in spreadsheets, you’re not alone. But soon, agentic AI will be able to automate the heavy lifting: 

• Self-optimizing course catalogs 

• Streamlined reporting dashboards 

• Automated learner assignments and reminders 

5. Responsible AI: ethics built in 

Bias. Transparency. Privacy. These will always be essential. 

Trust is foundational. And there are very legit concerns about bias, transparency, and privacy with AI. No matter if you’re harnessing basic (traditional) AI or agentic AI, you’ll always want to keep your team (the human ones!) in the loop and set aside time to discuss ethics and build guardrails around your usage. 

If you're building your learning culture on Absorb, the good news is you don't have to wait for the agentic future, it's already being built. Absorb Aura is a coordinated team of AI agents designed to do exactly what this article describes: move from reactive to proactive, from task-doer to thought-partner. It’s worth a conversation with your Absorb rep if you haven't had one yet. 

Prepare to smile: If you’ve made it here, you should take a breath and check out those Mac vs PC ads!

And so, to all you HR and L&D champions shaping the future of learning for your organization: It’s going to get really exciting. With agentic AI, we’ll be moving towards smarter decisions in the name of better outcomes. Start by asking your LMS provider what they're doing about agentic AI, the answer will tell you a lot about whether they're ready to grow with you.