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Industry Landscape
The AI and search engine industries are in a state of rapid evolution, driven by advancements in natural language processing and machine learning. There's a growing demand for intelligent, conversational search experiences that provide summarized, cited, and accurate information, moving beyond traditional keyword-based results. Competition is fierce, with established tech giants and innovative startups vying for market share.
Total Assets Under Management (AUM)
AI Market Size in United States
~35.0%
(38.1% CAGR)
- Growth driven by increasing AI adoption across sectors.
- Significant investment in R&D and emerging technologies.
- Expanding use cases in enterprise and consumer applications.
Total Addressable Market
261.9 billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI (e.g., Large Language Models)
Generative AI enables more sophisticated conversational search, content creation, and summarization, moving beyond basic information retrieval to synthesize new, coherent insights.
Multimodal AI
This technology allows AI search engines to process and understand information across various formats like text, images, audio, and video, leading to richer and more comprehensive search results.
Explainable AI (XAI)
XAI focuses on making AI decisions transparent and understandable, building user trust by clarifying how search results and summaries are generated and why certain information is prioritized.
Impactful Policy Frameworks
EU AI Act (2024)
The EU AI Act is a comprehensive regulatory framework for artificial intelligence, classifying AI systems by risk level and imposing obligations on providers and users, with a focus on transparency and human oversight.
This policy will likely require Perplexity AI to ensure its AI systems comply with specific risk classifications, potentially impacting development processes and data handling, especially for high-risk applications.
National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF 1.0) (2023)
The NIST AI RMF provides voluntary guidance for managing risks associated with AI, promoting trustworthy and responsible development and use of AI systems across various sectors.
While voluntary, this framework will influence best practices for Perplexity AI in managing ethical and technical risks, potentially leading to the adoption of more robust internal governance and transparency measures.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
Issued by the US President, this executive order directs federal agencies to set new standards for AI safety and security, protect privacy, promote innovation, and ensure equitable access to AI.
This order could lead to new directives or standards that Perplexity AI must consider, particularly concerning data privacy, intellectual property, and ensuring non-discriminatory outcomes in its search algorithms.
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