{
    "action": "tool_call",
    "reasoning": "I have strong evidence about compute concentration (US has 79.5% of global compute with only 118 systems vs China's 175 systems with 6.9%), but I should check one more dimension that could be surprising: the relationship between system age/timing and compute power. Specifically, I want to see if there's a dramatic acceleration in compute capacity over time that would be counterintuitive.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT EXTRACT(YEAR FROM \"First Operational Date\") as year, COUNT(*) as systems_deployed, SUM(\"H100 equivalents\") as total_compute_added, AVG(\"H100 equivalents\") as avg_compute_per_system FROM raw.ai_supercomputers WHERE \"First Operational Date\" IS NOT NULL AND \"H100 equivalents\" IS NOT NULL GROUP BY EXTRACT(YEAR FROM \"First Operational Date\") ORDER BY year DESC LIMIT 20",
        "purpose": "Check temporal acceleration in compute deployment to see if recent years show dramatic scaling",
        "source": "raw"
    }
}