Meta's AI infrastructure needs rebuilding within 20 months
Infrastructure is shifting from human-centric to agent-first design.
1Agent traffic explosion
Agent queries on Meta's data systems grew 30x in six months. Automated systems now generate 51% of internet traffic, growing 8x faster than human traffic. Traditional infrastructure can't handle this load.
2Three broken assumptions
Meta's infrastructure VP revealed capacity, identity and velocity assumptions are collapsing. One engineer can now spawn 10 agents with hundreds of subagents. Access controls and CI/CD pipelines weren't designed for this reality.
3Trusted data environments
Meta balances agent autonomy with 'trusted data environments'. Every output is traceable, sensitive fields are masked. Agents explore data broadly while sharing narrowly under governance.
4Reasoning revolution
AI models are shifting from correlation to causal reasoning, exploding demand for raw data and real-time processing. Meta is replacing batch ETL with streaming for ranking systems.
5Schema awareness
To prevent GPU starvation, Meta is making storage schema-aware. Only query-specific columns and time ranges are fetched. Target: 500M queries/sec and petabyte-scale throughput.
6Conversational recommendations
42% of Instagram users want fundamental algorithm changes. Meta is developing intent-based conversational recommendations. The same search term will yield different results based on inferred purpose.