AI Economics
The money side of AI engineering: token pricing, cost-per-task math, ROI of coding agents, and the unit economics that decide what ships.
AI EconomicsOpenAI's Jalapeño Chip Is an Inference Hedge, Not a Nvidia Killer
The first OpenAI custom AI chip keeps the API intact, which is the part earlier custom-silicon efforts got wrong.
AI EconomicsVoice AI Under 500ms: The Latency Budget That Decides Who Ships
Sub-500ms round trips are the line between a voice agent people prefer and one they hang up on; here's the architecture that gets you there.
AI Economics92% Blew Their AI Budget. AI FinOps Is the Fix
Token bills are running 2-5x over plan. Treat inference spend as an engineering problem and the math pays back in weeks.
AI EconomicsNeocloud GPU Economics Are Cheap, Fragile, and Winning Anyway
GPU rental prices have collapsed 64-85% below hyperscalers, but the debt and utilization math underneath is brutal.
AI EconomicsAI Inference Hardware Has a New Cost Bottleneck
The Nvidia question is now a workload-matching problem: memory bandwidth, utilization, and latency SLOs decide the real inference bill.
AI EconomicsAI Video Generator Comparison: Pick What Ships
The practical video stack decision is no longer model quality alone; it is usable seconds, editing drag, rights clearance, and where the clip has to ship.
AI EconomicsSelf Hosted Open Models Win After This Cost Cliff
Self-hosting is now a workload decision: privacy, latency, volume, and ops capacity decide more than ideology.
AI EconomicsKV Cache Compression Is the New Inference Lever
The highest-leverage serving work in 2026 is no longer just faster kernels; it is shrinking the cache that long-context models reread on every decode step.
AI EconomicsCustom AI Silicon Inference Cost Is Now Board-Level
The chip choice only pays off when you model tokens, utilization, memory, power, software drag, and cloud lock-in as one system.
AI EconomicsAI Voice Agent Production Governance Checklist 2026
Production voice agents live or die on a sub-second latency budget, a handoff that can't silently fail, and Article 50 disclosure that survives a language switch.
AI EconomicsAI Compute Cost in 2026: Build vs. Buy vs. Lease, by the Numbers
Owning GPUs at high utilization can cost a third of renting them, but the breakeven math punishes anyone who guesses wrong about their workload.
AI EconomicsAI Agent Cost in Production: Real Per-Run Numbers for 2026
The same 15-step coding task costs $0.77 on Gemini 3.5 Flash and $19.01 on Claude Fable 5 once retries hit. Here is the full unit-economics breakdown.
AI EconomicsOpenAI vs Anthropic IPOs: What the S-1 Race Means for AI Costs
The first unit-economics reading of the back-to-back June 2026 filings, and the pricing moves API buyers should hedge against now.
AI EconomicsAgentic AI vs Traditional Automation: 2026 Cost-Benefit Analysis
Agentic AI costs 1.5 to 3x more in year one and wins anyway on unstructured work; here is the math, the failure data, and the decision framework.
AI EconomicsRAG vs Fine-Tuning for LLM Agents: 2026 Cost Breakdown
At production scale, retrieval is 60-80% cheaper than fine-tuning, but the best teams in 2026 stopped choosing and started layering.
AI EconomicsInference-as-a-Service in 2026: Cost, Speed, and Scale
Per-token prices for 70B-class models have collapsed to under $1 per million tokens, and the real platform decision now hinges on traffic shape, not GPU specs.
AI EconomicsFine-Tuning vs Prompt Engineering: The 2026 Cost Breakdown
PEFT made training cheap and prompt caching made context cheap, so the real question in 2026 is which one is cheaper to maintain for your task.