Start Up No.2664: AI Outdoes ER Doctors on Triage, How Token Spend Is Rocketing, Meta Fires Smart Glass Observers, and More

Key Takeaways

• Harvard AI model o1 diagnosed 67% of ER cases, beating doctors' 50‑55%
• Token spend rose ~10x; some developers spend $500/day on Claude Code
• Iran war halted PPE resin, driving PCB prices up 40% in April
• Meta cut ties with Sama, risking 1,108 Kenyan jobs over privacy claims
• Bipartisan Senate bill aims to ban Chinese vehicles and parts in U.S.

Pulse Analysis

The breakthrough in emergency medicine underscores how large language models are moving from research labs into high‑stakes clinical environments. By interpreting limited electronic health records faster than human physicians, AI can streamline triage, reduce wait times, and potentially save lives. However, integration raises questions about liability, data privacy, and the role of human clinicians in a rapidly automated workflow, prompting hospitals to reassess staffing and training strategies.

At the same time, enterprises are grappling with an unexpected side effect of AI adoption: exploding token costs. Companies report a ten‑fold increase in spend, with power users shelling out $500 per day on advanced coding assistants. While productivity gains are evident, the financial strain forces leaders to consider budget caps, model optimization, and even on‑premise alternatives. The lack of clear ROI metrics makes it difficult to justify unchecked consumption, driving a new wave of governance around AI usage.

Geopolitical tensions add another layer of complexity. The Iran‑triggered disruption of high‑purity polyphenylene ether resin has pushed printed circuit board prices up 40%, tightening margins for AI server manufacturers and cloud providers. Simultaneously, Meta’s severance of its Kenyan data‑labeling partner amid privacy allegations highlights the human cost of AI data pipelines. Coupled with a bipartisan push to ban Chinese‑made vehicles and components, these pressures signal a tech landscape where supply chain fragility, regulatory scrutiny, and ethical concerns converge, demanding agile strategies from industry leaders.