← Trend Radar·AI/ML·Large Language Models
AI/MLAbove average growth

Large Language Models

Foundation models with emergent reasoning capabilities are rewriting what software can do — from writing code to diagnosing disease.

Innovators
Early Adopters
▲ Early Majority
Late Majority
Saturation
Papers Analyzed
21,593
research papers
Signal Clusters
6
research threads
Primary Driver
Tech
strongest force
Paper Coverage
2026
publication years
Intelligence Brief

This research helps businesses understand how to reliably measure and improve the performance of AI models like ChatGPT for better decision making and automated tasks.

Early Majority

The field is going mainstream. Benchmarks, toolkits, and replications are proliferating. Industry adoption is accelerating — the window to differentiate is narrowing.

Research Signals · 6 clusters detected

Early AdoptersTech·2,836 papers·-2.1% MoM
S01

Agentic Frameworks

? What if AI agents could not only understand your business goals but also proactively identify and execute strategies to achieve them, even the ones you haven't thought of yet

This research explores "agentic frameworks," which are systems where Artificial Intelligence (AI) agents can independently reason, plan, and act to achieve complex goals. The sheer volume of 2836 research papers signals a significant shift from AI that merely responds to commands to AI that proactively solves problems and manages tasks with minimal human oversight. This evolution unlocks capabilities for automating intricate workflows across diverse domains, from software development to scientific discovery.

Adoption Curve

High confidence · R² 0.99
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Early MajorityTech·4,257 papers·-9.1% MoM
S02

Model Compression

? What if the AI that currently powers your most advanced tools could suddenly run on your smartphone, delivering personalized insights and capabilities without needing the cloud, fundamentally changing how we interact with technology and access information

This research trend, "Model Compression," focuses on making large artificial intelligence (AI) models smaller and more efficient. With over 4,200 papers published recently, this is not just a niche academic pursuit but a significant technological shift. The core innovation is enabling powerful AI capabilities, like those in large language models, to run on less powerful hardware, making them faster, cheaper, and more accessible.

Adoption Curve

High confidence · R² 0.99
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Late MajorityTech·3,297 papers·-8.5% MoM
S03

Multimodal Generation

? What if your marketing campaigns could automatically create personalized videos for every single customer based on their past purchases and current browsing behavior?

This research cluster explores "Multimodal Generation," the ability of artificial intelligence to create new content by understanding and combining information from different sources like text, images, and video. With over 3,297 papers published recently, this trend shows significant momentum, moving beyond theoretical exploration into practical product development. It is rapidly unlocking capabilities to generate complex, synthesized media, solving the challenge of creating richer, more interactive digital experiences.

Adoption Curve

High confidence · R² 0.99
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Early MajorityTech·7,406 papers·-11.8% MoM
S04

Model Evaluation

? What if you could definitively know how much a business decision is truly influenced by an AI's suggestions, allowing you to trust or challenge its recommendations with confidence

This research helps businesses understand how to reliably measure and improve the performance of AI models like ChatGPT for better decision making and automated tasks.

Adoption Curve

High confidence · R² 0.99
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Narrative · PEST analysis · Convergence scenarios · Archive

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Early MajorityTech·2,143 papers·-22.2% MoM
S05

Reinforcement Learning

? What if your company's AI could learn to outsmart competitors in real-time auctions, predict customer needs before they arise, and even discover entirely new ways to operate, all without explicit human programming?

This research uses smart learning to make AI systems better at making decisions and solving problems, leading to more efficient and capable automated tools for businesses.

Adoption Curve

High confidence · R² 0.99
🔒

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Narrative · PEST analysis · Convergence scenarios · Archive

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Late MajorityTech·1,654 papers·-8.0% MoM
S06

Information Extraction

? What if your company could instantly understand every customer interaction, research paper, and market trend to predict what your customers will want next and how to deliver it better than anyone else

This research helps businesses automatically find and use relevant information from vast data sources to make smarter decisions and improve services.

Adoption Curve

High confidence · R² 0.98
🔒

Full analysis with Pro

Narrative · PEST analysis · Convergence scenarios · Archive

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Cancel anytime · Annual plan $390/yr

Research Momentum

+2127% year-over-year(20252026, sample papers)
2025206652026206650Papers

Based on representative paper sample per cluster · not a complete count

Stage Breakdown

Share of papers per adoption stage, weighted by cluster size.

Early Adopters13%
Early Majority64%
Late Majority23%