Generative AI: Assessing Opportunities and Disruptions in an Evolving Trillion-Dollar Plus Market
The adoption of generative artificial intelligence (AI) and large language models (LLM) is already rippling through every segment of the technology sector, as incumbents and new entrants reimagine existing end markets to potentially generate $1.6 trillion in revenue by 2032.
Complete the form below to access Bloomberg Intelligence’s latest report into the rapidly-evolving AI market.
Report highlights
- Bigger Clusters for Training, Inferencing: The demand for larger sized training and inferencing compute clusters is set to continue for improved model reasoning and capabilities. Among the foundational model companies, OpenAI-Microsoft, Google, Meta and Anthropic continue to release new LLMs with more features.
- Gen AI Agents Set to Explode: In addition to the established use cases around coding copilots and customer-service chatbots powered by LLMs, the integration of writing assistants, and image and video creation tools using text and voice prompts will power gen AI agent deployments for consumer and enterprise uses.
- AI Inference Aided by Model Efficiency: Most LLM companies are focused on driving model efficiency for achieving scale in inferencing. Instead of processing everything on the cloud, on-device AI adoption will be driven by a focus on privacy for features like writing text, translating language, generating images and videos with text-based prompts, and voice assistants.