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Wednesday, 4 February 2026

Case Study: Experience with Human-Replicating AI


Case Study: Experience with Human-Replicating AI

Author: Srishty Sharma
Role: HR Head
Year: 2026


Background

In early 2026, I attended a Business Meeting that—without exaggeration—changed the way I look at the future of Human Resources.

This was not a traditional Client Meeting. We were exploring a potential product/service from a Company Working deeply in the AI-driven Workforce automation space. The agenda was simple: understand their AI solution and assess whether it could support HR operations at scale.

What unfolded during that conversation was something far more profound than a product demo—it was a glimpse into the next phase of Work itself.


The AI Tool: Beyond Automation

The AI solution presented to us was described as a highly optimized, semi-manual AI system—not just a chatbot or Workflow automation tool, but a trainable AI Worker.

Unlike conventional HR tech that assists humans, this system was designed to function as a human replacement in execution-heavy roles, especially within HR.

Capabilities Discussed

The AI could:

  • Perform end-to-end HR operations

  • Conduct resume screening and keyword-based shortlisting

  • Extract candidate profiles directly from LinkedIn and other platforms

  • Push data seamlessly into ATS or ERP systems

  • Send and evaluate assessments

  • Conduct initial interview rounds autonomously

  • Forward shortlisted candidates for final human interviews

In short, it could handle the entire recruitment lifecycle, from sourcing to first-round interviews, with minimal human involvement.


The Moment That Changed Everything

The discussion took a deeply personal turn when the presenter said something I wasn’t prepared for:

“Srishti ma’am, this AI can also copy you.”

At first, it sounded metaphorical.

It wasn’t.

He explained that the AI could be trained to replicate my professional persona

  • the way I speak

  • the way I pause before answering

  • my fillers, tone, and expressions

  • even the way I laugh or hold silence during interviews

This AI could conduct interviews as me.

Candidates wouldn’t just be interviewed by an AI—they would be interviewed by a digital replica of the HR Head.

That moment was both fascinating and unsettling.


Fascination vs. Fear

From a Business and efficiency standpoint, the implications were extraordinary:

  • No interviewer fatigue

  • No bias caused by mood or exhaustion

  • Unlimited interview capacity

  • Consistent evaluation frameWorks

  • Faster hiring cycles

But as a human—and as an HR professional—the implications were equally alarming.

If AI can interpret, replicate, and execute human behavior, where do we draw the line between assistance and replacement?


The Employment Question

This experience forced me to confront a difficult reality.

We are currently in the introduction phase of AI:

  • AI is being tested

  • AI is learning

  • AI is being refined through trial and error

At this stage, AI is not fully replacing humans—but it is preparing to.

Based on what I witnessed, it is evident that:

  • Executive-level roles

  • Sourcing roles

  • Operational HR roles

…are the first at risk of partial or full replacement.

And if AI continues to evolve at this pace, it is not unrealistic to assume that higher-level decision-making roles may eventually see AI replicas assisting—or even substituting—human professionals.


Ethical and Social Implications

The power to replicate a human being is not just a technological breakthrough—it is an ethical responsibility.

AI can:

  • Solve operational inefficiencies

  • Improve scalability

  • Reduce costs

But it can also:

  • Be misused

  • Create identity risks

  • Displace large segments of the Workforce

  • Blur the boundaries of authenticity and consent

As HR leaders, we stand at the intersection of technology and humanity. Our role is no longer just hiring and policy—it is protecting the human core of organizations.


Cost, Accessibility, and the Road Ahead

At present, such advanced AI systems are:

  • Expensive

  • Not cost-effective for most organizations

  • Accessible primarily to large enterprises

However, history tells us one thing clearly:

What is expensive today becomes standard tomorrow.

As markets expand and adoption increases, these tools will inevitably become:

  • More affordable

  • More efficient

  • More mainstream

Just like cloud systems, ATS platforms, and automation tools once did.


Reflection & Gratitude

This Meeting left me shaken—but also grateful.

Grateful to:

  • Witness the change firsthand

  • Understand where the market is heading

  • Prepare mentally and strategically for what lies ahead

In 2026, we are standing at a threshold moment.

AI has not fully taken over—but it has arrived.

And the question is no longer “Will AI change HR?”
The question is:

How will HR leaders choose to shape the coexistence of humans and AI?


Conclusion

This experience reaffirmed my belief that HR will not disappear—but it will transform radically.

The future of HR will belong to professionals who:

  • Understand AI deeply

  • Use it ethically

  • Balance efficiency with empathy

  • And protect the essence of human judgment

AI may learn how we Work.
But it is still up to us to decide why we Work.


Shrishty Sharma
Group HR Head | Author
Asiatic International Corp

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Friday, 23 January 2026

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