Prioritize Problems, Then Embrace AI Solutions - Kiran A. Sangita
The Future of Jobs in an AI World One of the most anticipated sessions at the Fusion AI Summit 2025 took on a provocative question:
“Agentic AI vs. Human Jobs – Are We Collaborating or Competing?”
Moderated by Kiran Sangita, CEO of Sails Software Inc., the panel brought together leading minds:
Ashok Panda, Global Head – AI & Automation, Infosys
Dr. Madan Dabbeeru, Founder of Eizen | PhD in Cognitive AI, IIT Kanpur
Ranjan Relan, Founder of AgentAnalytics.AI
Together, they offered a layered, forward-thinking take on AI’s role in the workforce—and it wasn’t just theory. It was a roadmap for navigating what’s next.
“AI Won’t Replace Humans. It Will Replace Tasks.” – Ashok Panda
Right from the start, Ashok Panda reframed the entire debate.
“AI won’t replace humans—it will replace tasks. Our challenge is to reimagine human roles, not eliminate them.”
This shift, he explained, isn’t about fear—it’s about evolution. Repetitive processes and mechanical thinking are being handed off to machines. What remains (and grows) are roles that require judgment, empathy, and creativity.
“Adaptability Will Define Employability.” – Dr. Madan Dabbeeru
Dr. Madan Dabbeeru followed with a powerful reminder about the human side of transformation:
“Adaptability will define employability. Those who can unlearn and relearn will thrive in the AI era.”
He stressed that AI isn’t just a tool; it’s a catalyst for redefining how we learn, work, and innovate. Traditional education models must pivot from static skillsets to dynamic problem-solving and cross-disciplinary thinking.
“Agentic AI Should Be Seen as a Partner, Not a Competitor.” – Ranjan Relan
Challenging the often binary narrative of “AI vs. jobs,” Ranjan Relan presented a collaborative perspective:
“Agentic AI should be viewed as a partner, not a competitor. The best outcomes happen when humans and AI play to their strengths—together.”
He shared examples from industries already adopting AI agents as copilots—enhancing productivity, speeding up decisions, and elevating performance.
“For Every Job AI Disrupts, It Creates Two New Ones.” – Dr. Madan Dabbeeru
Dr. Madan emphasized that change isn’t just about loss—it’s also about opportunity:
“For every job AI disrupts, it creates two new ones. We’re seeing demand for AI trainers, prompt engineers, and cognitive system architects.”
These new roles demand a different mindset: curiosity, technical fluency, and the ability to guide AI, not just use it.
“Before Throwing AI at a Problem, Define the Problem.” – Kiran Sangita
In his role as moderator, Kiran Sangita grounded the panel in business practicality:
“Before throwing AI at a problem, define the problem. Not every challenge is a tech problem—some need human insight first.”
His takeaway was clear: tech adoption without clarity can lead to waste. Start with the “why,” then bring in the “how.”
India’s Moment: “From Exporting Code to Exporting Intelligence”
When the panel turned to India’s role in global AI innovation, Ashok Panda was optimistic:
“India has what it takes—talent, infrastructure, and mindset. But we must shift from labor arbitrage to innovation arbitrage.”
Dr. Madan added:
“This is our moment. Thirty years ago, we exported code. Today, we can export intelligence.”
Both leaders called for a unified push across startups, academia, and government to build solutions for India—and the world.
Startups vs. Hyperscalers: “Out-Focus, Not Out-Spend”
On the role of startups in enterprise AI, Ranjan Relan shared a compelling insight:
“Startups don’t need to out-resource hyperscalers. They need to out-focus them. Solve one problem brilliantly, and you’ll win.”
That focus is what makes startups agile, and why they’re often the first to break into niche but high-impact AI solutions.
“Guardrails Build Trust.” – Dr. Madan Dabbeeru
Trust is central to AI adoption, and Dr. Madan was direct:
“AI isn’t dangerous. Misused AI is. Guardrails like hallucination detection and explainability are what earn user trust.”
He highlighted the role of multi-agent systems, not just in automation but in enhancing decision-making—if built responsibly.
“Coding as a Skill Will Evolve.” – Ashok Panda
As the conversation wrapped, Ashok turned his focus to the future of developers:
“Coding as a skill will evolve. What will matter is logic, architecture, and the ability to work with AI. Creativity will still be human.”
With AI copilots already automating syntax and testing, developers must pivot toward system-level thinking and innovation.
Conclusion: Humans + AI = Competitive Edge
The Fusion AI Summit panel made one thing clear:
It’s not a matter of whether AI will change jobs—it already is. The question is whether we evolve with it.
From task automation to new job creation, from problem-solving to ethical safeguards, Agentic AI isn’t about replacement—it’s about amplification.
To thrive in this new era:
Embrace continuous learning
Build AI fluency, not just tech skills
Treat AI as a co-creator, not a competitor
Collaborate across sectors to drive meaningful, ethical innovation
As Kiran Sangita summed up beautifully:
“This isn’t about tech replacing people. It’s about people becoming more powerful—with the right tech.”