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AI Cost Paradox: Token Prices Fall, Enterprise Bills Surge | Ep. 1
Audio is available on Spreaker — see link below.
Token prices are dropping but enterprise AI bills are exploding — Microsoft, Uber, and Goldman Sachs all hit the same wall in the past 24 hours. This episode breaks down the cost paradox reshaping enterprise AI strategy, plus Anthropic's $900B valuation and New Zealand's 8,000-job AI cuts.
Audio is available on Spreaker — see link below.
Token prices are falling. Your AI bill is going up.
Uber hit the same wall. The company's chief technology officer confirmed that compute costs have outrun employee salaries, and Uber burned through its entire annual AI tooling budget by May — with months still left in the year.
Goldman Sachs put a number on where this is heading. Their forecast projects token consumption rising twenty-four times by two thousand and thirty as agentic AI scales.
The company sitting at the center of this spending surge just closed a thirty billion dollar funding round at a nine hundred billion dollar valuation. That makes Anthropic the world's most valuable private AI company, ahead of OpenAI.
One response to runaway AI costs is better governance before deployment, not after. Kore.ai launched something called Artemis this week on Azure.
The other beneficiary of all this complexity is observability. Datadog crossed one billion dollars in quarterly revenue for the first time, driven largely by enterprise demand for tools that track what AI workloads are actually costing.
New Zealand adds one more data point worth tracking. The government is pushing ahead with plans to cut eight thousand public sector jobs using AI — without a regulatory framework, without a cost-benefit analysis.
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