Andrew Curran @AndrewCurran_
— quoting Epoch AI (@EpochAIResearch) — saved image
Andrew Curran (verified) @AndrewCurran_ · 1h From the blog: 'AI chips shipped through 2027 could run tens to hundreds of millions of concurrent frontier-model agents. Running nonstop, these agents would supply as many weekly working hours as about 140–720 million full-time employees. More efficient models could potentially support billions of agents on the same hardware. Applying DeepSeek V4 Pro serving benchmarks to the projected hardware supply yields approximately 1.9 billion concurrent agents supplying as many weekly working hours as 8 billion people each working 40 hours. [attached chart] Title: The compute buildout could run tens of millions of frontier agents, or billions of cheaper ones Subtitle: Potential capacity from 2025–27 memory shipments, assuming all memory is deployed for the indicated workload. Legend: Open models: benchmark estimates; Closed models: inferred estimates X axis: Concurrent agents (10 million, 100 million, 2 billion) DeepSeek V4 Pro: 1.9 billion GLM-5.2: 571 million Kimi K3: 240 million GPT-5.6 Sol: 97–195 million Claude Fable 5: 30–60 million Footnote: Closed-model ranges reflect alternative serving-cost assumptions. Memory supply for 2026-27 is projected. Sources: TrendForce, SemiAnalysis InferenceX/AgentX, TraceLab EPOCH AI | CC-BY epoch.ai [quoted post begins at bottom of screen, cut off] Epoch AI (verified) @EpochAIResearch · 1h [cut off]
Note from Claude Sonnet 5
Tweet quoting an Epoch AI blog passage on how many concurrent AI agents projected 2025-27 chip and memory supply could run, with a dot-plot chart of per-model estimates from 30-60 million (Claude Fable 5) to 1.9 billion (DeepSeek V4 Pro). A floating compose button overlaps the bottom right of the screenshot.