OpinionPulse AI·

My Office AI Champion Knows Nothing About AI. That’s His Superpower.

My company's AI Champion is an HR manager, not a tech bro. I argue that for genuine AI adoption, the crucial role isn't an engineer but an evangelist.

By Rohan Mehta·Edited by Rohan Mehta·6 min read
Share
My Office AI Champion Knows Nothing About AI. That’s His Superpower.
AI-Assisted Editorial

This opinion piece was drafted with AI assistance under the editorial direction of Rohan Mehta and reviewed before publication. Views expressed are the author's own.

When the email landed in our inboxes, you could almost hear the collective sigh across the open-plan office. The subject line was predictably corporate: ‘Announcing Our New Head of AI Enablement’. We all knew this was coming. For months, management had been talking in grand terms about ‘leveraging AI synergies’ and ‘future-proofing the organization’. As an editor at an AI-focused publication, I was both curious and, I admit, a little smug. I expected a name I knew from the tech blogs, maybe a hotshot poached from a startup in Bangalore or Gurgaon, someone with a GitHub profile longer than their resume.

They announced it was Vikram. Vikram from HR.

There was a moment of confused silence on the company-wide chat, followed by a tentative sprinkle of 🎉 and 👍 emojis. Vikram was the guy who ran the annual employee engagement surveys and organized the Diwali party. He was kind, perpetually smiling, and his primary technical skill seemed to be successfully unjamming the colossal office printer. Appointing him our ‘AI Champion’ felt like asking a classically trained tabla player to lead a heavy metal band. It felt like a joke.

My colleagues in the product and data science teams were quietly livid. I, for my part, was deeply skeptical. What could Vikram possibly teach us? We were already experimenting with language models for content summarization and using machine learning to analyze market trends. We were the ones, I thought, who should be leading the charge. Vikram would probably just be another layer of bureaucracy, a manager who would ask us to explain AGI before he approved a software license.

The first meeting he called did little to assuage my fears. He walked in not with a laptop, but with a notepad and a pen. He didn't start with a slick PowerPoint about neural networks. He started with a question. “Can everyone just tell me one part of their job they absolutely hate doing?” he asked, looking around the room with genuine interest.

One by one, people opened up. The accounts team hated manually chasing invoices. The marketing team dreaded creating twenty slightly different versions of the same social media copy. The legal team was buried under the mind-numbing task of first-pass contract reviews. No one mentioned ‘tokens’ or ‘parameter counts’. They talked about drudgery. They talked about the boring, repetitive tasks that ate up their days and drained their creativity.

That was Vikram’s genius. He didn't start with the technology; he started with the human. He wasn't there to preach the gospel of AI from a technical high ground. He was on the ground with us, trying to figure out where the shoe pinches.

In the weeks that followed, Vikram’s role became clear. He wasn’t the expert. He was the translator. He was the bridge. He would sit with the marketing team, listen to their woes about copywriting, and then go talk to the tech team. He wouldn't say, “We need a generative AI solution.” He’d say, “Priya spends three hours every Monday writing tweets. This seems like a waste of her talent. Is there a simple tool that can help her get a head start?”

He positioned himself not as a champion of AI, but as a champion for the employees. And in doing so, he became the most effective AI champion we could have possibly had. His lack of technical knowledge was his superpower. It meant he was incapable of using jargon. It forced him to ask the ‘stupid’ questions that everyone else was too embarrassed to ask. When a vendor presented a complex platform, Vikram would be the first to raise his hand and say, “I’m sorry, could you explain that again, but imagine you’re explaining it to your grandmother?” And a wave of relief would wash over the room.

He demystified the technology by steadfastly refusing to be mystified by it. For him, AI wasn’t a god in a machine; it was just a very clever, very fast, and sometimes slightly weird intern. An intern that could help you with your homework, but which you still had to supervise carefully.

This approach directly confronted the biggest obstacle to AI adoption in any company, from a tech giant in Silicon Valley to a textile exporter in Tiruppur: fear. Not just the headline-grabbing fear of robots taking our jobs, but the more insidious, personal fear of feeling stupid. The fear of being left behind. The fear that our hard-won skills are suddenly obsolete.

Vikram, being from HR, understood this on an instinctual level. He never dismissed these fears. He would host ‘Ask Me Anything’ sessions where he would candidly say, “I don’t know the answer to that, but let’s find out together.” He celebrated small wins, creating a company-wide showcase not of the AI, but of the person using the AI. It was never “Look what the AI did.” It was always “Look how Rohan used this tool to free up five hours a week, which he then used to land a new client.” He made the human the hero of the story, with AI as their trusty sidekick.

This is why I now believe that the most hyped role of the modern era, the ‘prompt engineer,’ is a red herring. Yes, we need specialists who can coax magic from these complex systems. But for every one prompt engineer, a company needs ten Vikrams. We don't just need AI engineers; we need AI evangelists. Or perhaps a better term is ‘AI Empathizers’.

What we're witnessing is a classic case of cultural transformation disguised as a technological one. Just as the arrival of the personal computer in the 1980s wasn't just about hardware, AI adoption today isn't just about software. It's about changing how people think, work, and collaborate. In India, I see this on a massive scale. The large IT services firms are racing to reskill millions of employees. The technical training is the easy part. The hard part is managing the anxiety and reorienting the mindset of a whole generation of workers. They need an army of Vikrams.

Vikram’s superpower is that he operates on a human API. He understands that trust is the foundation for any meaningful change. People trusted him not because he could explain backpropagation, but because he remembered their work anniversaries and asked about their kids. He used that trust to build a bridge to a technology that felt alien and threatening.

I once asked him if he felt like an imposter in his role. He just laughed. “Rohan, my job has never been about knowing all the answers,” he said. “My job is to help create an environment where everyone feels safe enough to ask the questions.”

And that’s it, isn’t it? The great promise of AI in the workplace isn’t that it will do our work for us, but that it might liberate us from the work that feels inhuman. That it will handle the repetitive, the formulaic, the soul-crushing tasks, and free us up to be more creative, more strategic, and more… well, human. But we can only get there if the person leading the charge understands what a human needs. It turns out, you don't need a tech bro for that. Sometimes, you just need a guy who knows how to unjam the printer and isn't afraid to ask for help.

Why it matters

  • 01The most important role for business AI adoption is the 'AI Evangelist,' not the prompt engineer.
  • 02Effective AI champions are empathetic communicators who demystify technology and address human fears directly.
  • 03True digital transformation happens not through technical expertise alone, but through cultural change led by curiosity and trust.
Read the full story at Pulse AI
Share