What's the BIG Next after AI?
- peopleverse
- Jul 1
- 3 min read
Main Author: Lalitha S, Co-Founder & Chief Architect, Technology Visionary
Recently, one of my friends (SVP) was narrating his real office horror story to me. His previous employer is a Gigantic global IT company. When he decided to resign after serving many years (which is not rare in IT now), he was astonished to find zero human interaction with his HR team during the entire exit process. Everything was handled through AI Agents or MCP Chatbots. Even so, he doubts if there exists an HR Team or if they have been asked to go. But at the end, he felt disrespected and said in anguish I am glad I resigned and joined a better company where I interact with a HUMAN HR Team.
Just a few years ago, the internet was messy but mostly human. Blogs carried personal stories, reviews reflected real experiences, and even the bad grammar had soul. So What's NEXT?
Today, something strange is happening. You search for a recipe, and every result reads the same tone and taste. You look up a product review, and it feels robotic. You read a news summary — and it sounds synthetic... generated.
When AI is rewriting the internet — literally.
As large language models (LLMs) continue to scale in power, there’s a looming bottleneck in their fuel: high-quality, human-generated data. Ironically, the rise of GenAI itself is now polluting the very web it was trained on.
Blog spam written by bots.
Reviews, articles, and even research papers generated by LLMs.
SEO content loops optimized by AI tools.
If future models are trained on this recycled material, we risk entering a data feedback loop — like making a copy of a copy of a copy. The richness of real human nuance fades. Originality is lost. Semantic drift creeps in.
Because let’s face it—all these tools, as magical as they seem, are still trained on organic and synthetic data. They are sophisticated parrots: great at mimicry, impressive at synthesis, but rooted in the past. They can answer, but they don’t know how to think. They can generate, but they don’t grow.
So What Comes NEXT After AI?" – I scenario something like this-
From AI we will move to Embodied Intelligence /Experimential Intelligence, which will become mainstream. The future of AI will not be Data, but it will shift to Doing.
Think: A robot learning to clean a room not from a training dataset, but from messing it up and figuring it out, like a child would.
Embodied Intelligence is the idea that true intelligence comes not just from having a brain (or model), but from having a body that interacts with the world. This intelligence is alive, adaptable, and present.
It’s how a child learns:
Not from reading a textbook,
But by crawling, touching, falling, mimicking,
Failing—and learning again.
This shift—from static data to dynamic experience—feels like the next tectonic movement. Where the brain is not enough unless connected to a body, to senses, to context. Where machines are no longer detached knowledge processors, but situated learners.
From Code to Conscious Motion
Whether it’s a home assistant that understands your routine by following you, a robot nurse adapting to elderly care, or an AI in space that learns to move over new terrain—this intelligence is alive, adaptable, present.
And that’s what made me write this: to explore and invite conversations about what comes next. If GenAI gave machines words, maybe embodied AI will give them wisdom—rooted not in data, but in experience."
Aspect | Traditional AI (GenAI) | Embodied Intelligence |
Learns from | Text, images, static data | Sensors, motion, interaction |
Understanding | Statistical patterns | Situated context |
Creativity | Remix of past | Novel interaction-driven |
Intelligence type | Symbolic or statistical | Adaptive, developmental |
Environment | Digital | Physical or simulated |
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Why This Goes Beyond “Smart Systems” Today’s so-called smart environments are:
By contrast, embodied environments are:
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A Living World
In the coming era, we won’t just live in spaces — we’ll live with them.
Our surroundings will observe, adapt, and collaborate. They will support well-being, enhance creativity, and anticipate our needs. From transportation to education, from offices to parks — our environments will no longer be passive backdrops. They’ll become partners in our lives.
We welcome your thoughts/ideas on the topic.
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