AI slop may flood the internet but creators say execution will define the top one percent

New Delhi: As artificial intelligence shifts from research labs and enterprise systems to everyday consumer platforms, the conversation is expanding beyond engineering to impact. Across industries, AI is reshaping how content is created, distributed and consumed, raising larger questions about influence, access and global competitiveness. In India, home to one of the world’s largest digital audiences and a rapidly expanding creator economy, the implications are especially significant.

At the AI Impact Summit 2026, a wide-ranging discussion explored how creators are using artificial intelligence to move from average to the top 1 percent. The conversation moved beyond models and metrics into something more human, ambition, storytelling and leverage. Moderated by Viraj Sheth, CEO of Monk Entertainment, the panel featured Prakhar Gupta, host of the The Prakhar Gupta Xperience; Ishan Sharma, entrepreneur and career-focused content creator; and Naman Deshmukh, a tech and AI content creator.

Sheth acknowledged that much of the summit had centred on technical depth, positioning this panel at the intersection of technology and storytelling. The framing shifted when Gupta redirected the focus toward where AI’s real-world impact would first unfold.
“The first place in which humans interact with artificial intelligence is going to be content,” he said, arguing that for most Indians, AI will not arrive through code or research labs but through Instagram reels, chat interfaces and media feeds.

Gupta described India as one of the largest consumers and producers of content globally, adding that this scale is often under-discussed. With AI lowering traditional barriers of accent, geography and production access, he suggested that what he called “cosmetic gatekeeping” is rapidly disappearing.

“You need 10,000 people committed to the Indian messaging and you can actually occupy all global communication channels,” he said. “Content is soft power.” For Gupta, AI is accelerating India’s ability to tell its own stories at scale.

The discussion then turned to the rise of AI-generated influencer avatars, particularly “AI girls” that are drawing massive engagement across short-form platforms.

“There are AI influencer girls getting billions of views. Instead of just reacting, I studied what worked. The first three seconds, the hook, the structure. If that format works, communicate your message in that format,” Sharma said.

Rather than resisting the format, Sharma described reverse-engineering it. He builds automated systems that analyse his past content, track what performs best in his niche, scan audience comments and monitor global conversations.

“AI is not Google search,” Sharma said. “It is a collaborative partner. When you connect multiple tools and create workflows, it becomes like an agent. Every morning I get insights tailored to my audience.”

Deshmukh added that surface-level prompting will not create durable advantage.
“Most people are just using AI for surface-level output. But if you build systems on top of it, that’s where leverage comes in,” he said.

He revealed that parts of his own content engine are automated, from analysis to optimisation. He described launching a fully automated AI-driven Instagram page that crossed one million followers within months.

“You won’t believe, in four to five months, we hit one million followers on our automated page,” he said, noting that most viewers do not realise he is not physically present in the videos.

He explained that custom-trained GPT models generate scripts in his style, avatar platforms replicate his on-screen presence, voice-cloning tools refine delivery and editors assemble the final output. What previously required days of preparation can now be executed with AI-assisted production pipelines.

As AI models continue to improve rapidly, the panel argued that technical access will become commoditised. The differentiator will shift elsewhere.

“The models are only going to get better,” Deshmukh said. “We can build apps, avatars, songs, designs. But knowing what works, recognising patterns and applying taste, that is the ultimate skill.”

Sharma reinforced this shift toward judgement. “In an era where you can create anything, avatars, apps, songs, designs, knowing what works is the ultimate skill.”

Gupta expanded the lens beyond content production to cognition itself. He described assigning specific “characters” to his AI systems for research, strategy and ideation, and even using it to design a personalised stretching routine after periods of heavy travel.

“There is no thing in the world I cannot research in depth in 20 minutes with this tool,” he said. He also issued a warning about saturation.

“In the next five years, what we call AI slop will take over the grand middle of content consumption,” Gupta said. “The dead centre, which is driven by dopamine hacking, will be dominated by artificial intelligence. Pattern recognition is something AI can already do better than humans.”

As AI-generated content floods the middle, he predicted that authenticity may gain value at the edges.

“Mistakes will become proof of truth,” Gupta said. “If you do not make mistakes, people will suspect it is artificial intelligence. Imperfections will signal authenticity.”

An audience member raised concerns about digital clutter, ecological strain from expanding data centres and the absence of clear governance frameworks. While the panel did not delve deeply into regulation, the exchange underscored a growing tension between scale and sustainability.

Toward the end, Sheth recounted a brief interaction with a ride-hailing driver who asked him what AI actually meant, a reminder that adoption remains uneven beyond industry circles.

For Deshmukh, expansion beyond Tier 1 cities is critical. He spoke about training government school teachers in AI tools and observing noticeable changes in classroom engagement. Gupta pointed to India’s demographic dividend, English proficiency and technical workforce as structural advantages. “The playing field has been levelled,” he said.

If there was a consistent message throughout the session, it was this: access to AI tools is no longer the advantage. “Everyone has access to the same models. What separates you is execution,” Deshmukh said.

In the race to move from average to the top one per cent, the panel suggested that AI is not the finish line, it is the multiplier.