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Content Creation

Inside Raj Shamani’s Content Engine: Why AI is Now His Personal Mentor

Speaking at the IndiaAI Impact Summit 2026, podcaster Raj Shamani reveals why he views AI as a teammate, how it saves his business 3x more time, and why GenZ holds the ultimate advantage in the creator economy.

Pritam Kumar
ByPritam Kumar
Pritam Kumar is a content strategist and analyst actively tracking the creator economy. He has experience in growing faceless channels.
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February 17, 2026 Google Preferred Source
Raj Shamani Reveals the AI Feedback Loop Behind Top Podcast at IndiaAI Impact Summit

Popular podcaster and entrepreneur Raj Shamani revealed that he has integrated artificial intelligence (AI) into the core of his content empire, treating the technology as a “personal mentor” rather than a mere search engine.

Speaking at the India AI Impact Summit 2026, the founder of the Figuring Out podcast detailed a workflow where AI models like ChatGPT, Claude, and Gemini act as a “challenger” to his creative process.

Shamani explained that he uses these tools to stress-test his ideas by asking them to find five reasons why a specific content topic or business strategy might fail, forcing him to think more deeply before the cameras even start rolling.

The content creator, who manages a massive production team for his various digital IPs, noted that AI has significantly reduced the friction of the pre-production phase.

For his high-profile interviews, Shamani utilizes AI to research guests and simulate meeting agendas, helping him determine how to make a conversation maximumly fruitful in half the time.

He also disclosed that AI plays a critical role in “de-risking” his content by scanning legal documents and partnership contracts for loopholes that human lawyers might occasionally overlook, ensuring his business remains secure as it scales.

To maintain his standing as a top-tier creator, Shamani uses a specialized AI-driven feedback loop to improve his performance.

He revealed the existence of a “Head of Errors and Experiments” within his team, a role dedicated to analyzing every podcast episode for mistakes. This department uses AI to identify points where a question was poorly phrased or where a vital follow-up was missed.

This data is then fed back into a custom-trained AI mentor that Shamani uses to practice the “art of interviewing,” ensuring that each new episode is more technically sound than the last.

Despite the automation, Shamani warned aspiring creators against using AI as a “copy-paste” tool, which he says leads to “average” and “dumb” content.

He argued that the real leverage for a creator in 2026 is using AI to handle the “low-effort tasks” like basic research or drafting, which then frees the human creator to focus on “original thinking” and cultural nuances.

By automating the administrative and research-heavy side of content creation, Shamani has been able to expand his output from two major projects to 20 projects simultaneously without losing the personal touch his audience expects.

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For creators looking to replicate his efficiency, Shamani recommended focusing on tools that solve specific workflow bottlenecks.

He emphasized that the goal is not to have AI write the script, but to have AI provide the infrastructure that allows a creator to leapfrog the traditional, slow growth cycles of the industry.

Raj Shamani concluded that while the AI era is making the content space more crowded, it is actually easier than ever to stand out by being “unapologetically yourself.” He believes that as AI handles more of the technical production, the audience will crave authentic, human-led storytelling even more.

For the Indian creator economy, he sees AI as the ultimate “second-order beneficiary” tool, allowing local creators to produce world-class content that can compete on a global stage while maintaining a lean, efficient team.

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