StatusGoStrategy in MotionAI in Healthcare

“In every high-stakes decision – in justice, in healthcare, in policing – machines can inform, but humans must decide – and answer.”

António Guterres, Secretary-General of the United Nations

Opening the first UN Global Dialogue on AI Governance · Geneva · July 6, 2026

The Model Race
By the Numbers · AI Model and Capability Tracker
ModelOpenAI IndexContextIn $/1MOut $/1M
Claude Fable 5
Anthropic
No601M$10$50
GPT-5.6 Sol
OpenAI
No591M$5$30
Kimi K3
Moonshot AI
Yes*571M$3$15
GLM-5.2
Zhipu AI
Yes511M$1.40$4.40
Gemini 3.1 Pro
Google
No461M$2$12
DeepSeek V4 Pro
DeepSeek
Yes441M$0.44$0.87
Inkling
Thinking Machines
Yes411Mn/an/a

Artificial Analysis Intelligence Index v4.1, higher is better (highest-scoring configuration per model). Context in tokens; input/output in USD per million tokens, standard non-cached first-party rates. Open-weight models can be self-hosted, so hosted prices vary; Inkling has no first-party per-token rate (n/a). *Kimi K3 open weights release July 27. Sources: Artificial Analysis, OpenRouter, and vendor pricing pages. Claude is made by Anthropic.

1Open models close in on the frontier

The AI race is tilting from frontier labs to open models, which enterprises favor for cost, control, and ownership. Chinese open-weight models now top download charts, and half the Fortune 500 run open or private deployments. Moonshot AI’s Kimi K3, the largest open model yet at 2.8 trillion parameters, matches frontier coding at $15 per million output tokens, far below closed US rivals. For health systems, the economics of closed APIs are under pressure. BBC · TechCrunch

2Murati’s Thinking Machines ships open model Inkling

Mira Murati’s Thinking Machines released Inkling, its first model, with open weights on Hugging Face and fine-tuning via its Tinker platform. The 975-billion-parameter system activates 41 billion per task and lets enterprises customize on their own data and infrastructure, a pitch aimed at health systems wary of locked-down frontier APIs. Axios

3Hassabis proposes a FINRA-style AI standards body

DeepMind CEO Demis Hassabis argues AGI is likely only a few years away and calls for a FINRA-style frontier AI standards body, initially voluntary, to test top models for cybersecurity, bio, and deception risks before US release. He frames the moment as needing cautious optimism over a race. Demis Hassabis

Deals and Dollars
4UnitedHealth and Elevance beat, raise 2026 guidance

UnitedHealth and Elevance both beat Q2 estimates and raised 2026 guidance, signaling a managed-care rebound. UnitedHealth posted adjusted EPS of $6.38 against a $4.90 estimate and lifted its full-year outlook to $19.50 to $20.00 on tighter medical cost control. Elevance guided to $27 EPS and will exit more Medicaid markets. Reuters (UNH) · Reuters (Elevance)

Q2 2026 Scorecard · UnitedHealth vs Elevance
MetricUnitedHealthElevance
Q2 revenue$112.0B$49.8B
Adjusted EPS (vs est.)$6.38 (est. $4.90)$7.45 (est. $6.21)
Medical cost ratio86.7%89.7%
Medical members48.5M45.0M
FY2026 adj. EPS guidance$19.50–$20.00At least $27.00
Market cap~$385B~$85B
P/E (TTM)~32x~17x

Company Q2 2026 reports (UnitedHealth July 16, Elevance July 15). Adjusted EPS is not directly comparable across companies. Market cap and P/E as of mid-July 2026 and will move with the market. P/E shown is trailing; UnitedHealth’s is elevated by weak prior-year earnings, so its forward P/E is roughly 22x versus about 11x for Elevance.

5Optum partners with Anthropic on healthcare AI

Optum, part of UnitedHealth Group, said July 13 it will partner with Anthropic, deploying Claude to cut administrative burden while keeping human oversight of clinical judgment. The company disclosed no specific use cases or timeline. The deal follows Optum’s $3 billion AI push and ongoing litigation over AI-driven coverage denials. Becker’s Payer

6Neko Health raises $700M for US scan expansion

Neko Health, the Stockholm preventive-scan startup cofounded by Spotify’s Daniel Ek, raised $700 million in Series C funding, pushing total backing past $1 billion. It will open its first US clinic in New York this year, bringing its AI-driven full-body imaging and blood-test model stateside amid debate over whole-body screening. Fierce Healthcare

AI in Practice
7Mayo Clinic AI frees 11 minutes per patient

Mayo Clinic is partnering with Scale AI on clinical tools that streamline pre-visit chart review, flag safety events like wrong-site surgeries and falls, and help staff work at top of license. Physicians have gained an average of 11 more minutes per patient, per Scale AI’s own figures. Becker’s Hospital Review

8AI model predicts 348 diseases from records and genetics

Harvard, Dana-Farber, and Mass General Brigham researchers built ALADYNOULLI, an interpretable AI model that predicts a patient’s risk across 348 diseases using EHR data and genetics. Tested on 683,000 people, it tracks how risk evolves over decades and outperformed standard calculators for cardiovascular and breast cancer prediction. Published in Nature. Inside Precision Medicine

9CVS aims to be healthcare’s AI front door

CVS Health unveiled Health100, an AI assistant built with Google Cloud that schedules checkups, fills prescriptions, and checks coverage. CEO David Joyner wants it to become healthcare’s default AI front door across payers and providers. A small test group comes first, with wider rollout later this year amid antitrust scrutiny. Axios

10AMA autonomous AI billing codes draw nursing pushback

The AMA is advancing CPT codes for autonomous AI that generates clinical outputs without a physician present. Nursing leaders are wary, echoing the ANA’s warning that AI must not replace professional judgment and raising accountability and patient-safety concerns about a physician-controlled coding system governing autonomous tools. Becker’s Hospital Review

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