Every article in the archive — pricing teardowns, billing system reviews, and strategy deep-dives.
The Rule of 40 now separates premium from discount SaaS valuations — and most public SaaS doesn't clear it. AI-native spend is up 393% YoY while 61% of IT leaders are cancelling projects to cover the bill. Your pricing architecture is now your competitive moat.
Salesforce stock is down 27%. IT services firms are eating 20-35% contract haircuts. Enterprise AI agent spend is up 393% YoY. The seat license is dying in public and the replacement pricing models are still in beta.
Microsoft's new E7 tier is $99/user/month, up 65% vs E5 pricing. This is the clearest signal yet that enterprise AI pricing is becoming managed-usage billing wearing a subscription costume.
Asana and GitLab just posted very different growth curves, while smaller players are shoving through 20–30% price hikes. Translation: pricing isn’t a page anymore — it’s your operating system.
Google just dropped Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens, while everyone else is still pretending flat pricing is fine. Cheap models are here. Bad pricing architecture is now your problem.
Stripe now lets startups auto-mark up model costs, Cursor reportedly hit $2B ARR, and Claude just moved memory to free. Pricing teams are no longer setting prices — they're managing margin volatility with vibes.
OpenAI’s own menu now spans from $2 to $168 per million output tokens. AWS is cutting GPU prices up to 45%. Meanwhile SaaS vendors are quietly shipping price hikes. This is what modern pricing chaos actually looks like.
GPT-5 Nano costs $0.40 per million output tokens. Claude Opus 4.6 costs $25. That's a 62x spread hiding behind your flat $49/month plan. Your pricing page is lying to someone.
Three schools of AI agent pricing are at war. Token-based, task-based, and outcome-based models all have fatal flaws — and everyone is shipping anyway. Here's how to pick your poison.
Flat-rate AI pricing is collapsing in slow motion. Windsurf is dead, Claude Code's unlimited plan got yeeted, and your coding tool is quietly throttling you. The math never worked. Usage-based billing was always the destination.
AI billing broke the billing stack. You're charging per token, per inference, per GPU millisecond — and your billing system is rounding most of it to zero. Here's the fix.
SaaS was built on 80%+ gross margins. AI inference is dragging that to 50-60%. Most companies haven't changed a single number on their pricing page.