The Future of AI Agents
Exploring open source profitability and small language models – Aditya Gautam
Aditya Gautam has built his career at the intersection of AI research, large-scale deployment, and public discourse. With experience at Google, Meta, and leading academic conferences, he works on large language models, AI agents, and responsible AI at scale.
In this episode, Aditya will explore the debates around open-source AI, the economics behind LLMs, and the barriers enterprises face when adopting AI agents. He also shares his perspective on the rise of small language models and what these shifts mean for the future of AI.
We plan to cover:
Open-source AI: democratization and risks
The economics of LLMs and the challenge of profitability
Why enterprises struggle to adopt AI agents in practice
The role of small language models in efficiency and cost reduction
Emerging trends in AI research and deployment
About the Speaker:
Aditya Gautam is an AI expert contributing to the advancement of the field through industrial innovation, academic research, and public discourse. At the core of his work, he designs and builds systems in the domain of Large Language Models (LLMs) and AI Agents. He has successfully led several high-impact applied AI initiatives at Meta, focusing on both enhancing core ranking and recommendation algorithms and successfully architecting, developing, and productionizing state-of-the-art GenAI systems at massive scale.
As an active voice in the Generative AI community, Aditya actively disseminates his expertise on the global stage. He was featured among the best speakers at the Databricks Data + AI Summit 2025 for his talk on "Optimize Cost and User Value Through Model Routing AI Agent." He has published research on LLMs in Information Retrieval and Multi-Agent Systems, and his thought leadership has been featured in major media articles, industry interviews, and AI podcasts. He is a frequent speaker and panelist at premier events and conferences such as Analytics Vidhya. His influence in the academic community is demonstrated by his service as a respected peer reviewer for top-tier venues like NeurIPS, ICML, and AAAI. Aditya holds a Master’s degree from Carnegie Mellon University.
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