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Why Gen AI Agentic Workflows and Multitasking Skills Matter More Than Ever in 2025

Why Gen AI Agentic Workflows and Multitasking Skills Matter More Than Ever in 2025

Why Gen AI Agentic Workflows and Multitasking Skills Matter More Than Ever in 2025

Date: 1 August 2025 | By Worklyst

Indian tech professional using AI tools on a multi screen setup in a modern office

Intel and TCS have recently announced over 15,000 job cuts. These are not isolated events—they are early signals of a deeper transformation in how companies think about teams, output, and hiring.

We are moving into an era where skills alone are not enough. What matters is the ability to think, adapt, and solve across systems—often with the help of Gen AI.

The professionals who can work with these tools instead of resisting them are the ones who will thrive in this new environment.

What Is Driving These Layoffs?

While cost pressure is part of the story, the larger shift is technological. In the last two years, Gen AI has gone from experimental to operational.

Companies are now using these tools for:

  • Writing and optimising code
  • Generating reports and business insights
  • Automating marketing content and outreach
  • Supporting product development and customer support

As these systems become more capable, the hiring strategy changes. The question is no longer who can do this task but who can manage the workflow that delivers outcomes using both human effort and AI.

The Rise of Agentic Systems

Gen AI is no longer just about chatbots or content generation. Agentic systems are now being trained to take goals, break them into tasks, and execute those tasks independently.

What the New High Value Professional Looks Like

In 2025, the most in-demand professionals are not defined by one skill or one title. They are those who can adapt across functions and combine multiple skill sets using AI as leverage.

They tend to:

  • Use Gen AI to speed up and improve problem solving
  • Build quick apps and automations using tools like Streamlit and Replit
  • Understand the basics of data analysis, product thinking, and customer needs
  • Communicate clearly and work independently on projects
  • Manage outputs, not just tasks

The most valued employees are those who can step up when roles blur and problems are complex.

What You Should Focus On Now

Whether you are a fresher entering the market or a working professional, here is what you can do to stay ahead:

  1. Learn to use Gen AI tools actively – Understand how to structure prompts and validate responses for real work.
  2. Build side projects and share them – Use platforms like Hugging Face, Replit, and Streamlit to showcase ideas.
  3. Pair your primary skill with one more – For example, add data storytelling to coding or combine analytics with product knowledge.
  4. Think in terms of outcomes, not roles – See yourself as someone who contributes to business value, not just tasks.

Companies Are Already Making the Shift

The shift to leaner, smarter teams is already underway, and some organisations are leading by example:

  • Zoho continues to scale from smaller towns with generalist teams.
  • Freshworks is investing in hybrid teams across Hyderabad and Chennai.
  • InMobi and Razorpay are supporting remote product teams from Pune and Udaipur.

These companies are not just hiring people with degrees—they are hiring people who can build and adapt with speed.

Key Takeaways

  • Gen AI and agentic tools are already changing team structures and job roles.
  • Professionals with flexible, multi-skill profiles are becoming harder to replace.
  • Employers value people who can work end to end and think in systems.
  • This is a moment for reflection and re-skilling, not panic.

Final Thoughts

You do not need to become an AI expert. But you do need to know how to work alongside AI tools and use them in your domain.

Layoffs are a signal, but they are also a reminder: the best job security in 2025 is being the kind of person companies want to build with—not just hire.

Call to Action

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Further Reading & References

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