OpenAI just cut AI costs 80%. Every stalled enterprise project just got reactivated.

OpenAI dropped GPT-5.6 Luna by 80% yesterday.

$0.20 per million input tokens.

That project your finance team killed because the API costs didn't justify the ROI?

It's viable now.

Here's what changed: Luna handles the routine work — support tickets, document processing, code review, data extraction — at a price point that makes enterprise-wide deployment mathematically defensible.

Terra dropped 20%. Sol now offers 2.5x speed at 2x price.

This isn't a price cut. It's a deployment accelerator.

OpenAI has 1 billion users and 2 million businesses on the platform. Agentic work through Codex now accounts for 99.8% of weekly output tokens. They're not cutting prices out of generosity — they're compressing the adoption cycle to feed the next infrastructure round.

Your competitors just got the same memo. The AI projects they shelved in Q1 because unit economics didn't work? They're reactivating this week.

Meanwhile, Amazon raised its 2026 capex forecast to $220 billion. AWS revenue hit $42 billion in a single quarter. Microsoft posted $90 billion in quarterly revenue and is now pitching its own models to replace OpenAI. The infrastructure war isn't slowing down. It's accelerating.

Audit your AI project pipeline today. Anything that was killed on cost grounds needs a fresh evaluation. The timeline for AI deployment across your organization just compressed by 12 months.

If you're still running pilots, you're already behind. The economics just shifted under every AI budget in your company.

SOURCE: https://openai.com/index/building-abundant-intelligence
VERIFIED: OpenAI blog (July 31, 2026), TechCrunch Daily AI Thread (August 1, 2026), Amazon Q2 earnings (July 30, 2026)
SIGNAL: An 80% price cut on the model handling routine enterprise work makes previously uneconomical AI deployments viable overnight. Every enterprise AI budget just needs recalculation.
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