Gen-Z and Agentic AI: Redefining the Future of Work in Jordan and Beyond

I had the honor of participating in the Graduation Ceremony of the Unihance – Digiskills Digital Upskilling & Employment Program — a landmark initiative that is equipping Jordan’s youth with the skills they need to thrive in today’s evolving labor market

As part of a panel discussion, I reflected on two important questions:

1. What workplace conditions unlock sustained performance for Gen-Z, and how do we retain them in the first 12 months?
2. How will Agentic AI impact entry-level roles in the next 12–24 months — and how can we redesign jobs to prevent higher youth unemployment while boosting productivity?

These questions go to the heart of how we prepare our young professionals for a future where technology and human ambition work side by side.

🔹 Unlocking Gen-Z Performance and Retention

Gen-Z brings tremendous digital fluency, curiosity, and ambition to the workplace. But their expectations differ from Gen X and Y — and employers must adapt if they want to attract and retain this new generation of talent.

From my experience at Microsoft, EY, and now AugentisAI, I often return to Microsoft’s three leadership principles:

• Create Clarity – synthesize the complex, ensure shared understanding, and define the course of action.
• Generate Energy – inspire optimism, creativity, and growth, building organizations that are stronger tomorrow than today.
• Deliver Success – drive innovation, be boundary-less in solutions, and pursue outcomes with persistence, determination, and resilience.

These principles, combined with five workplace conditions, can unlock sustained performance for Gen-Z:

1️⃣ Role clarity – knowing exactly what impact they’re making.

2️⃣ Fast feedback cycles – continuous input, not just quarterly reviews.

3️⃣ Hybrid flexibility – freedom in contribution, with in-person mentorship and culture.

4️⃣ Mission fit – alignment between company purpose and personal values.

5️⃣ Growth ladders – clear pathways for skill development and mobility.

And when it comes to retention in the first 12 months, three mechanisms stand out:

• Strong onboarding and mentorship.
• Early exposure to meaningful projects, not just shadow tasks.
• Investment in skill-building opportunities — programs like Digiskills are already bridging the gap by tailoring training directly to employer needs.

Finally, I shared with graduates Dan Lok’s Profit–Passion–Purpose triangle:

• Passion without profit = a hobby.
• Profit without passion = burnout.
• Profit + passion without purpose = emptiness.

The sweet spot is when all three intersect — what you love, what makes money, and what creates impact. When organizations help young professionals find this alignment, performance and retention follow naturally.

🔹 Agentic AI and the Transformation of Entry-Level Roles

The rise of Agentic AI — systems that plan, reason, and act autonomously — will inevitably reshape junior workflows first. That’s why organizations must be intentional in how they redesign jobs.

Where AI will displace:

• Routine, repetitive tasks like data entry, reporting, and document drafting.
• Scheduling and document preparation that copilots and agents can generate instantly.

Where AI will augment:

• Customer-facing roles – insights powered by AI, but delivered with human empathy.
• Analyst roles – AI does the baseline analysis, graduates interpret and contextualize it.
• Project coordination – AI handles workflow automation, humans ensure strategic alignment.

Here, I echo Satya Nadella’s message: AI isn’t here to take jobs, it’s here to transform them. But this transformation is not immediate — it unfolds in phases, similar to how frontier companies evolve:

1️⃣ Efficiency – automation of repetitive tasks.

2️⃣ Collaboration – humans and AI share workflows, with graduates as orchestrators and reviewers.

3️⃣ Redefinition – new career paths emerge: AI supervisors, ethical AI leads, multi-agent system designers.

This means entry-level jobs won’t disappear; they’ll be reshaped into higher-value roles where strategic thinking, emotional intelligence, and adaptability are even more critical alongside technical skills.

To manage this shift, we need job redesign:

• Human-in-the-loop checkpoints – graduates validating and refining AI outputs.
• New role definitions – shifting from “task doers” to AI orchestrators and decision shapers.
• Updated evaluation rubrics – measuring not the volume of work, but judgment, creativity, and contextual insight.

Handled correctly, Agentic AI will not raise youth unemployment. Instead, it will accelerate productivity while opening stronger entry points for Gen-Z to gain AI fluency early in their careers.

🔹 Closing Thoughts

The future of work in Jordan — and globally — will be defined by how we balance technology adoption with human potential.

• For Gen-Z, the key is aligning their profit, passion, and purpose.
• For organizations, the challenge is job redesign and responsible AI adoption.
• For leaders, the opportunity is to create environments where AI becomes not a threat, but a partner for growth, impact, and innovation.

✨ My message to the graduates of Unihance – Digiskills: Don’t fear AI. Embrace it. Shape it. With the right mindset, you can turn disruption into opportunity, and build careers that are impactful, purposeful, and future-ready.