Tom’s Hardware reports Uber leaders are questioning whether rising AI token spend is translating into shipped features and measurable productivity.
As agentic tools multiply calls behind the scenes, usage-based billing can surge faster than impact. Execs are starting to demand ROI signals instead of “use more AI” KPIs.
Treat tokens like cloud spend: instrument cost per workflow, set per-team budgets, and tie “AI usage” to outcome metrics (deploys, tickets, revenue touches) so loops don’t run unchecked.
Uber’s COO says the link between more token usage and more useful product isn’t clear yet.
langfuse/langfuse
Open-source LLM engineering platform for observability, traces, metrics, evals, prompt management, datasets, and playground workflows.
promptfoo/promptfoo
A CLI and CI workflow for testing prompts, agents, and RAG systems across models, with evals and red-team style checks.
stanfordnlp/dspy
A framework for programming and optimizing language-model pipelines rather than hand-tuning one prompt at a time.
Palantir dropped a 9-point 'AI sovereignty' manifesto on X, branding tokenmaxxing a hit of 'false progress' and taking direct aim at OpenAI and Anthropic's per-token pricing. CEO Alex Karp's jab: 'Why are they charging for tokens?'
O'Reilly's Mike Loukides argues the tokenmaxxing era ends once finance notices the bill: GitHub Copilot swapped unlimited access for $0.01 credits, GPT-5.5 costs 2x GPT-5.4, and Claude Fable doubles Opus 4.8 per token.
TechCrunch reports Accenture is reining in employees who spend premium AI tokens on trivial jobs — like converting PDFs into slide decks — after agentic AI lead Justice Kwak flagged spend turning unpredictable and material to costs.