Issue #2: Everyone Is Talking About WHOOP and Oura. They Are Missing the Bigger AI Healthcare Story in China.

They should.

WHOOP raised $575 million at a $10.1 billion valuation, has more than 2.5 million members, and says its platform is powered by more than 24 billion hours of physiological data and purpose-built AI models (Business Wire).

Oura raised more than $900 million at an approximately $11 billion valuation, has sold more than 5.5 million rings, and is moving beyond sleep into AI guidance, labs, women’s health, and clinical context (Business Wire, Oura Health Panels, Oura Galen AI).

These are real companies with real moats.

WHOOP owns the performance identity. Athletes, founders, and high performers do not just wear WHOOP. They talk about strain, recovery, and sleep like it is a second religion. Health data, but make it CrossFit.

Oura owns the quiet preventive-health identity. It is elegant, passive, emotionally acceptable, and increasingly credible as it expands into labs, women’s health, and AI-powered insight.

But here is the bigger question:

Are WHOOP and Oura building the future health operating system, or are they premium verticals inside someone else’s future health operating system?

I think the bigger story is China.

The West is brand-led. China is system-led.

The West is building powerful health brands.

WHOOP. Oura. Apple Watch. Google Health. Fitbit. Samsung Health.

These companies are excellent at trust, design, clinical validation, privacy language, premium positioning, and global aspiration.

China is building differently.

China is building the stack.

Devices. Apps. Hospitals. Doctors. Insurance. Payments. Government. AI models. Super apps. Manufacturing. Distribution.

That is not a product strategy.

That is a system strategy.

China is not just cheap hardware.

The lazy version of the story is: “China makes cheap wearables.”

True, but incomplete.

Huawei said its wearable products had shipped more than 150 million units, Huawei Health had more than 520 million registered users, and IDC ranked Huawei number one globally in wrist-worn wearable shipments in Q1 2024 (Huawei).

Huawei’s health research page describes collaborations using smart wearables and AI for atrial-fibrillation warning, screening, diagnosis, rehabilitation management, blood-pressure risk management, cardiovascular screening, stroke prevention, and personalized AI models using wearable devices and million-scale patient data (Huawei Health Research).

That is not “cheap hardware.”

That is device plus data plus AI plus clinical research.

China is also pushing AI directly into hospital workflows. CCTV reported examples where AI helped review and integrate ICU diagnosis and treatment data in five seconds, generate structured medical records in one minute, and compress aortic dissection imaging diagnosis from 15 to 20 minutes down to three minutes (CCTV Business).

Baidu’s Lingyi medical model platform describes AI support across pre-consultation, in-consultation, and post-consultation workflows in both online and offline care settings (Baidu Lingyi).

JD Health is building internet-hospital AI agents. Tencent News reported that JD Internet Hospital launched an “AI Jingyi” product system with more than 1,500 expert-doctor agents (Tencent News).

Alibaba Health is building doctor-facing AI. Xinhua’s Economic Information Daily reported that Alibaba Health launched “Qinglizi,” a medical AI product built around evidence-based medicine and a BMJ Group content partnership for doctors (Xinhua Economic Information Daily).

Ping An is connecting AI, insurance, screening, treatment, and rehabilitation. Sina reported that Ping An’s medical model 3.5 scored 57.27 on OpenAI’s HealthBench Hard benchmark and is being applied across screening, management, treatment, and rehabilitation workflows (Sina Finance).

Shenzhen is not just manufacturing bands either. Shenzhen’s AI terminal plan aims to build a leading AI terminal industry cluster, while its AI advanced-manufacturing plan targets 100 application scenarios, 100 vertical industry models, and industrial agents by 2027 (Shenzhen Government, Shenzhen Industry and IT Bureau).

Put simply:

The West is building beautiful health products. China is building health infrastructure.

The enemy is not WHOOP or Oura. The enemy is the silo.

In StoryBrand terms, the user is the hero.

Not the wearable.

Not the app.

Not the AI model.

The user wants to sleep better, stress less, avoid disease, understand their body, care for their family, and get help before small problems become expensive disasters.

But today, the user is trapped in silos.

One app knows sleep.

One app knows workouts.

One doctor knows meds.

One hospital has labs.

One insurer sees claims.

One wearable sees heart rate.

One chatbot gives generic advice.

Congratulations, we recreated the healthcare system on your phone. Very innovative. Very tragic.

The future cannot be 12 disconnected dashboards.

The future has to be one trusted self-care layer.

What this means for WHOOP and Oura

I am bullish on WHOOP and Oura as products.

I am less convinced their valuations are fully protected if the market shifts from vertical device brands to horizontal AI self-care systems.

WHOOP’s moat is real: identity, habit, community, elite performance, continuous data, and subscription behavior.

Oura’s moat is real: design, passive tracking, sleep leadership, women’s health credibility, and premium wellness trust.

But both face the same strategic risk:

If AI care companions can ingest data from every wearable, then value shifts from the device that measures you to the system that understands you.

The best ring still matters.

The best band still matters.

But the bigger prize is the trusted layer that knows your sleep, stress, heart rate, glucose, labs, meds, habits, doctor history, family context, and daily goals.

Hardware captures the signal.

The self-care OS captures the relationship.

Google is different.

Google is not a vertical wearable startup.

Google has Android, Search, YouTube, Cloud, Gemini, Pixel, Fitbit, and global AI infrastructure.

Google bought Fitbit, inheriting a community Google said had more than 29 million active users, and Google has positioned Fitbit inside a broader Gemini-powered personal health coach and Google Health strategy (Google, Google Fitbit).

Google can absolutely win AI health intelligence.

But Google’s challenge is trust.

China’s challenge is global trust too, but China may move faster on deployment.

Different game.

Same destination.

The WorkOptional.ai and Sabai lesson

At WorkOptional.ai, this is exactly the kind of East/West AI pattern we study.

The West wins on trust, brand, clinical credibility, privacy language, and premium consumer experience.

China wins on speed, scale, integrated deployment, super-app behavior, hardware cost curves, and system orchestration.

The future winner learns from both.

That is why I am excited about Sabai, one of our important AI healthcare investments.

Sabai is a different play.

To consumers, Sabai is Your Care Companion for Life.

The longer-term ambition is to enable an OS for Daily Self Care: universal access, high EQ, medical safety, and integration across hardware, software, messaging apps, health apps, and care systems.

Sabai does not need to be the best wearable.

Sabai should help make every wearable more useful.

Sabai does not need to own every health app.

Sabai should become the trusted care companion that sits across them.

Message-first.

Multilingual.

Multimodal.

Built for the apps people already use.

Useful for the premium user with WHOOP or Oura.

Accessible for the mass-market user on messaging apps, super apps, health channels, and eventually basic phone rails.

The partnership map

This is also how we think about partnerships.

Not random logos.

Not “let’s integrate everything because we can.”

The right ecosystem has three layers:

1 Front end: wearables, sensors, messaging apps, health apps, photos, voice, labs, and family inputs that help Sabai understand the user.

2 Middle layer: telemedicine, medical transcription, pharmacies, labs, clinics, insurance, medical tourism, digital twins, and health marketplaces that help Sabai close the care loop.

3 Back end: analytics, policy development, benchmarking, research, safety evaluation, and population health intelligence that help systems improve.

Partners can build verticals.

Sabai should be the connecting tissue.

The memory.

The intelligence.

The trusted care companion.

The OS for daily self-care.

My conclusion

The next healthcare AI platform will not be one wearable.

It will not be one chatbot.

It will not be one hospital app.

It will be AI self-care infrastructure.

A trusted layer that helps people act earlier, safer, and more consistently.

A layer that connects sensors, labs, doctors, meds, insurance, family, and daily habits.

A layer that makes the user the hero of their own health journey.

That is where healthcare is going.

That is where Sabai is heading.

Hardware measures the body.

AI self-care helps change the life.

#HealthcareAI #DigitalHealth #Wearables #EastWestAI #SelfCareOS #10Cs #WorkOptional #sabaihealth