bug-bounty371
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browser53
access-control49
defi48
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ethereum44
privilege-escalation43
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sql-injection39
ssrf38
web338
ai-agents35
docker35
dos34
aws33
smart-contract-vulnerability33
supply-chain32
phishing30
idor30
react28
denial-of-service28
information-disclosure27
api-security27
solidity25
cloudflare25
burp-suite25
clickjacking25
oauth24
race-condition23
sqli23
node23
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remote-code-execution22
vulnerability-disclosure22
reverse-engineering21
web-security21
0
2/10
This article argues that enterprise AI costs are skyrocketing despite per-token pricing declining 10x every 18 months, because companies reinvest savings into more powerful models and broader deployments. It contends that current LLM provider pricing is unsustainably subsidized and will eventually rise sharply, making token compression and intelligent model routing essential optimization strategies for enterprises to build before repricing occurs.
ai-costs
token-compression
llm-optimization
enterprise-ai
cost-management
model-routing
ai-infrastructure
business-strategy
pricing-model
Sam Altman
OpenAI
Anthropic
Gilles Raymond
Gartner
Google
Microsoft
Amazon
Cursor
Edgee
GPT-4o
Claude Opus
Llama
Mistral