The Hidden Infrastructure Limits Shaping AI

AI’s future won’t be determined by model size; it will be decided by three hard limits: who gets represented, who gets paid, and what the planet can support. As companies rush toward agentic systems, we’re running into sustainable bottlenecks—ethical inclusion (data from people without bandwidth, infrastructure, or visibility), economic attribution (how raw data and human experience are valued), and environmental boundaries (electricity, water, and physical thermodynamics). This talk maps the real innovation gaps shaping the emergence of the agentic economy and shows where the market is actually moving. Attendees will leave with a clear picture of the bottlenecks, the design space for solutions, and the destination: an A2A ecosystem where attribution, consent, and sustainable resource use form the foundation of autonomous coordination.
Who is this presentation for?
Leaders, engineers, researchers, and strategists working in AI, data systems, infrastructure, sustainability, or emerging agent architectures.
Prerequisite knowledge:
Familiarity with AI workflows, data lifecycles, or infrastructure basics is helpful but not required. The talk is accessible to technical and non-technical audiences interested in the future of AI systems.
What you'll learn?
• The three sustainable bottlenecks shaping AI’s real trajectory • Why inclusion, attribution, and environmental limits matter more than model scale • Where innovation is urgently needed to support autonomous agent ecosystems • How emerging A2A architectures are evolving across industries • What trends are actually appearing in the market today

Anna Jacobi is a systems strategist who works across AI infrastructure, sustainable compute, and emerging agent architectures. She has led large-scale modernization at Meta, architected latency-critical programmatic systems at MediaMath, built high-reliability workflows across semiconductor and defense platforms, and delivered commercialization strategy for deep-tech research. Her work focuses on building AI ecosystems that respect physical limits, represent real communities, and attribute value back to the people who generate raw data. Anna currently serves as an AI Strategy Advisor at Gathid, where she supports identity, consent, and attribution models for distributed AI systems. She is known for translating complex cross-domain environments into clear architectures and aligned teams. Organizations bring her in when they need leadership that understands the full stack of AI systems, from hardware and energy to data, governance, and agentic coordination.