May 30, 2025 · 46m · a16z

Hey Tech, Come to Healthcare

Daisy Wolf · 18m spoken Vijay Pande · 13m spoken Steph Smith · 10m spoken
0:00 / 0:00
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In this a16z podcast episode, host Steph Smith speaks with venture partners Vijay Pande and Daisy Wolf about why software founders and modern artificial intelligence are uniquely positioned to disrupt the multi-trillion-dollar healthcare system by prioritizing consumer experience, preventative care, and full-stack technical innovation.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The host holds 23.4% of the talking time here. How this is scored →

The host as informed peer 4.0 Guest teaching 4.4 Guest disagreement 1.2 The host pushing back 2.1
05100:0015:0030:0045:000:14–4:28 · The host as informed peer 3/10 Evaluating the Prediction of a Trillion-Dollar Consumer Health Tech Company Steph opens by asking the guests to justify their bold prediction regarding a trillion-dollar consumer health company and prompts a clearer definition of consumer health tech. Daisy reframes consumer health beyond DTC/telehealth into B2B and insurance-covered models centered on consumer experience. The exchange is collaborative and informative.4:28–7:20 · The host as informed peer 3/10 Why Tech Founders Are Migrating into Healthcare Steph references notable tech founders entering healthcare and cites high social media engagement on the guests' article. Vijay and Daisy explain the migration using TAM, software engineering mindset, and public dissatisfaction with health infrastructure. The host facilitates smooth elaboration without pushback.7:20–11:14 · The host as informed peer 5/10 Addressing Systemic Obstacles and Entrenched Vendors Steph directly introduces critical listener pushback regarding entrenched vendors, high US GDP spend, and lower life expectancy. Vijay reframes technology's role by dismissing digital UI displays as the absence of real tech and emphasizing AI's power to drive behavioral change. The dynamic includes host challenge via audience quotes.11:14–13:56 · The host as informed peer 3/10 High Deductibles, Preventative Demand, and Post-COVID Consumer Shift Daisy educates the audience on structural market flaws, explaining how two-year job turnover disincentivizes insurers from covering preventive care while high deductibles force consumer shopping. Vijay links this to post-COVID consumer desire for personal health agency. The tone remains fluid and cooperative.13:56–18:07 · The host as informed peer 4/10 Designing Seamless Healthcare and the 30-Year Vision Steph synthesizes the shift toward consumer agency and asks where product design should start. Vijay details frictionless UI principles while Daisy presents a 30-year vision of continuous subcutaneous monitoring and mobile AI care. The segment showcases forward-looking venture thesis sharing.18:07–23:21 · The host as informed peer 5/10 Sick Care vs. Prevention, UX Incentives, and Outside Disruption Steph offers a strong structural comparison between infinite App Store consumer choices and restricted employer health plans. The guests explain principal-agent misalignment where providers optimize for payers rather than patients, using Spotify as an example of external disruption.23:21–29:11 · The host as informed peer 4/10 Applying Consumer Engagement and Tech Talent to Healthcare Steph asks how specific consumer tech engagement mechanics apply to healthcare. Daisy outlines specific operational pathways to a trillion-dollar company, including payvider models (UnitedHealth + Apple) and financial payment infrastructure layers (Visa of healthcare).29:11–34:58 · The host as informed peer 4/10 Capital Requirements, Infiltration Challenges, and Long-Term Vision Steph challenges the startup-only premise by asking why Big Tech incumbents or retail giants like Walmart wouldn't dominate healthcare first. Vijay invokes the Innovator's Dilemma, arguing Big Tech will avoid complex clinical AI, while Daisy notes incumbent efforts remain shallow experiments.34:58–39:34 · The host as informed peer 4/10 The Symbiotic Need Between AI and Healthcare Steph focuses the discussion on impactful technologies like AI. Vijay presents a compelling counter-argument that AI needs healthcare's massive GDP spend to justify model costs, while Daisy explains how healthcare will leapfrog traditional software straight to AI service substitution.39:34–43:00 · The host as informed peer 5/10 AI Companions, Wearables, and Social Health Contagion Steph contributes a detailed anecdote about Eight Sleep usage creating social health contagion at a wedding, extending the guests' points about Oura rings and biological age parties. The episode concludes on a highly collaborative, conversational note.0:14–4:28 · Guest teaching 4/10 Evaluating the Prediction of a Trillion-Dollar Consumer Health Tech Company Steph opens by asking the guests to justify their bold prediction regarding a trillion-dollar consumer health company and prompts a clearer definition of consumer health tech. Daisy reframes consumer health beyond DTC/telehealth into B2B and insurance-covered models centered on consumer experience. The exchange is collaborative and informative.4:28–7:20 · Guest teaching 3/10 Why Tech Founders Are Migrating into Healthcare Steph references notable tech founders entering healthcare and cites high social media engagement on the guests' article. Vijay and Daisy explain the migration using TAM, software engineering mindset, and public dissatisfaction with health infrastructure. The host facilitates smooth elaboration without pushback.7:20–11:14 · Guest teaching 5/10 Addressing Systemic Obstacles and Entrenched Vendors Steph directly introduces critical listener pushback regarding entrenched vendors, high US GDP spend, and lower life expectancy. Vijay reframes technology's role by dismissing digital UI displays as the absence of real tech and emphasizing AI's power to drive behavioral change. The dynamic includes host challenge via audience quotes.11:14–13:56 · Guest teaching 5/10 High Deductibles, Preventative Demand, and Post-COVID Consumer Shift Daisy educates the audience on structural market flaws, explaining how two-year job turnover disincentivizes insurers from covering preventive care while high deductibles force consumer shopping. Vijay links this to post-COVID consumer desire for personal health agency. The tone remains fluid and cooperative.13:56–18:07 · Guest teaching 4/10 Designing Seamless Healthcare and the 30-Year Vision Steph synthesizes the shift toward consumer agency and asks where product design should start. Vijay details frictionless UI principles while Daisy presents a 30-year vision of continuous subcutaneous monitoring and mobile AI care. The segment showcases forward-looking venture thesis sharing.18:07–23:21 · Guest teaching 5/10 Sick Care vs. Prevention, UX Incentives, and Outside Disruption Steph offers a strong structural comparison between infinite App Store consumer choices and restricted employer health plans. The guests explain principal-agent misalignment where providers optimize for payers rather than patients, using Spotify as an example of external disruption.23:21–29:11 · Guest teaching 5/10 Applying Consumer Engagement and Tech Talent to Healthcare Steph asks how specific consumer tech engagement mechanics apply to healthcare. Daisy outlines specific operational pathways to a trillion-dollar company, including payvider models (UnitedHealth + Apple) and financial payment infrastructure layers (Visa of healthcare).29:11–34:58 · Guest teaching 4/10 Capital Requirements, Infiltration Challenges, and Long-Term Vision Steph challenges the startup-only premise by asking why Big Tech incumbents or retail giants like Walmart wouldn't dominate healthcare first. Vijay invokes the Innovator's Dilemma, arguing Big Tech will avoid complex clinical AI, while Daisy notes incumbent efforts remain shallow experiments.34:58–39:34 · Guest teaching 6/10 The Symbiotic Need Between AI and Healthcare Steph focuses the discussion on impactful technologies like AI. Vijay presents a compelling counter-argument that AI needs healthcare's massive GDP spend to justify model costs, while Daisy explains how healthcare will leapfrog traditional software straight to AI service substitution.39:34–43:00 · Guest teaching 3/10 AI Companions, Wearables, and Social Health Contagion Steph contributes a detailed anecdote about Eight Sleep usage creating social health contagion at a wedding, extending the guests' points about Oura rings and biological age parties. The episode concludes on a highly collaborative, conversational note.0:14–4:28 · Guest disagreement 1/10 Evaluating the Prediction of a Trillion-Dollar Consumer Health Tech Company Steph opens by asking the guests to justify their bold prediction regarding a trillion-dollar consumer health company and prompts a clearer definition of consumer health tech. Daisy reframes consumer health beyond DTC/telehealth into B2B and insurance-covered models centered on consumer experience. The exchange is collaborative and informative.4:28–7:20 · Guest disagreement 1/10 Why Tech Founders Are Migrating into Healthcare Steph references notable tech founders entering healthcare and cites high social media engagement on the guests' article. Vijay and Daisy explain the migration using TAM, software engineering mindset, and public dissatisfaction with health infrastructure. The host facilitates smooth elaboration without pushback.7:20–11:14 · Guest disagreement 2/10 Addressing Systemic Obstacles and Entrenched Vendors Steph directly introduces critical listener pushback regarding entrenched vendors, high US GDP spend, and lower life expectancy. Vijay reframes technology's role by dismissing digital UI displays as the absence of real tech and emphasizing AI's power to drive behavioral change. The dynamic includes host challenge via audience quotes.11:14–13:56 · Guest disagreement 1/10 High Deductibles, Preventative Demand, and Post-COVID Consumer Shift Daisy educates the audience on structural market flaws, explaining how two-year job turnover disincentivizes insurers from covering preventive care while high deductibles force consumer shopping. Vijay links this to post-COVID consumer desire for personal health agency. The tone remains fluid and cooperative.13:56–18:07 · Guest disagreement 1/10 Designing Seamless Healthcare and the 30-Year Vision Steph synthesizes the shift toward consumer agency and asks where product design should start. Vijay details frictionless UI principles while Daisy presents a 30-year vision of continuous subcutaneous monitoring and mobile AI care. The segment showcases forward-looking venture thesis sharing.18:07–23:21 · Guest disagreement 1/10 Sick Care vs. Prevention, UX Incentives, and Outside Disruption Steph offers a strong structural comparison between infinite App Store consumer choices and restricted employer health plans. The guests explain principal-agent misalignment where providers optimize for payers rather than patients, using Spotify as an example of external disruption.23:21–29:11 · Guest disagreement 1/10 Applying Consumer Engagement and Tech Talent to Healthcare Steph asks how specific consumer tech engagement mechanics apply to healthcare. Daisy outlines specific operational pathways to a trillion-dollar company, including payvider models (UnitedHealth + Apple) and financial payment infrastructure layers (Visa of healthcare).29:11–34:58 · Guest disagreement 2/10 Capital Requirements, Infiltration Challenges, and Long-Term Vision Steph challenges the startup-only premise by asking why Big Tech incumbents or retail giants like Walmart wouldn't dominate healthcare first. Vijay invokes the Innovator's Dilemma, arguing Big Tech will avoid complex clinical AI, while Daisy notes incumbent efforts remain shallow experiments.34:58–39:34 · Guest disagreement 1/10 The Symbiotic Need Between AI and Healthcare Steph focuses the discussion on impactful technologies like AI. Vijay presents a compelling counter-argument that AI needs healthcare's massive GDP spend to justify model costs, while Daisy explains how healthcare will leapfrog traditional software straight to AI service substitution.39:34–43:00 · Guest disagreement 1/10 AI Companions, Wearables, and Social Health Contagion Steph contributes a detailed anecdote about Eight Sleep usage creating social health contagion at a wedding, extending the guests' points about Oura rings and biological age parties. The episode concludes on a highly collaborative, conversational note.0:14–4:28 · The host pushing back 1/10 Evaluating the Prediction of a Trillion-Dollar Consumer Health Tech Company Steph opens by asking the guests to justify their bold prediction regarding a trillion-dollar consumer health company and prompts a clearer definition of consumer health tech. Daisy reframes consumer health beyond DTC/telehealth into B2B and insurance-covered models centered on consumer experience. The exchange is collaborative and informative.4:28–7:20 · The host pushing back 1/10 Why Tech Founders Are Migrating into Healthcare Steph references notable tech founders entering healthcare and cites high social media engagement on the guests' article. Vijay and Daisy explain the migration using TAM, software engineering mindset, and public dissatisfaction with health infrastructure. The host facilitates smooth elaboration without pushback.7:20–11:14 · The host pushing back 5/10 Addressing Systemic Obstacles and Entrenched Vendors Steph directly introduces critical listener pushback regarding entrenched vendors, high US GDP spend, and lower life expectancy. Vijay reframes technology's role by dismissing digital UI displays as the absence of real tech and emphasizing AI's power to drive behavioral change. The dynamic includes host challenge via audience quotes.11:14–13:56 · The host pushing back 1/10 High Deductibles, Preventative Demand, and Post-COVID Consumer Shift Daisy educates the audience on structural market flaws, explaining how two-year job turnover disincentivizes insurers from covering preventive care while high deductibles force consumer shopping. Vijay links this to post-COVID consumer desire for personal health agency. The tone remains fluid and cooperative.13:56–18:07 · The host pushing back 2/10 Designing Seamless Healthcare and the 30-Year Vision Steph synthesizes the shift toward consumer agency and asks where product design should start. Vijay details frictionless UI principles while Daisy presents a 30-year vision of continuous subcutaneous monitoring and mobile AI care. The segment showcases forward-looking venture thesis sharing.18:07–23:21 · The host pushing back 3/10 Sick Care vs. Prevention, UX Incentives, and Outside Disruption Steph offers a strong structural comparison between infinite App Store consumer choices and restricted employer health plans. The guests explain principal-agent misalignment where providers optimize for payers rather than patients, using Spotify as an example of external disruption.23:21–29:11 · The host pushing back 2/10 Applying Consumer Engagement and Tech Talent to Healthcare Steph asks how specific consumer tech engagement mechanics apply to healthcare. Daisy outlines specific operational pathways to a trillion-dollar company, including payvider models (UnitedHealth + Apple) and financial payment infrastructure layers (Visa of healthcare).29:11–34:58 · The host pushing back 3/10 Capital Requirements, Infiltration Challenges, and Long-Term Vision Steph challenges the startup-only premise by asking why Big Tech incumbents or retail giants like Walmart wouldn't dominate healthcare first. Vijay invokes the Innovator's Dilemma, arguing Big Tech will avoid complex clinical AI, while Daisy notes incumbent efforts remain shallow experiments.34:58–39:34 · The host pushing back 2/10 The Symbiotic Need Between AI and Healthcare Steph focuses the discussion on impactful technologies like AI. Vijay presents a compelling counter-argument that AI needs healthcare's massive GDP spend to justify model costs, while Daisy explains how healthcare will leapfrog traditional software straight to AI service substitution.39:34–43:00 · The host pushing back 1/10 AI Companions, Wearables, and Social Health Contagion Steph contributes a detailed anecdote about Eight Sleep usage creating social health contagion at a wedding, extending the guests' points about Oura rings and biological age parties. The episode concludes on a highly collaborative, conversational note.

speaking balance: gold is the host, purple is the guest (3 minute bins)

0:00 · the host 33.5% · guest 66.5%0:00 · the host 33.5% · guest 66.5%3:00 · the host 29.8% · guest 70.2%3:00 · the host 29.8% · guest 70.2%6:00 · the host 29.2% · guest 70.8%6:00 · the host 29.2% · guest 70.8%9:00 · the host 17.4% · guest 82.6%9:00 · the host 17.4% · guest 82.6%12:00 · the host 28.6% · guest 71.4%12:00 · the host 28.6% · guest 71.4%15:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%18:00 · the host 22.3% · guest 77.7%18:00 · the host 22.3% · guest 77.7%21:00 · the host 36.8% · guest 63.2%21:00 · the host 36.8% · guest 63.2%24:00 · the host 14.8% · guest 85.2%24:00 · the host 14.8% · guest 85.2%27:00 · the host 5% · guest 95%27:00 · the host 5% · guest 95%30:00 · the host 23.2% · guest 76.8%30:00 · the host 23.2% · guest 76.8%33:00 · the host 39.5% · guest 60.5%33:00 · the host 39.5% · guest 60.5%36:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%39:00 · the host 28.2% · guest 71.8%39:00 · the host 28.2% · guest 71.8%42:00 · the host 32.1% · guest 67.9%42:00 · the host 32.1% · guest 67.9%45:00 · the host 65.4% · guest 34.6%45:00 · the host 65.4% · guest 34.6%
Sharpest disagreement ▶ 9:28 Reframing healthcare technology as the 'absence of tech'

Vijay firmly rejects the premise that current medical displays or electronic records represent advanced technology, calling computer-displayed MRIs the absence of actual tech.

Hardest push from the host ▶ 8:48 Challenging guests with skeptical listener critique

Steph directly presses the guests by reading a harsh listener comment that questions the necessity of technology in US healthcare given worse life expectancy despite high spend.

Biggest teaching moment ▶ 11:14 Explaining the 2.5-year insurance turnover incentive paradox

Daisy educates listeners on how average 2.5-year job tenures destroy insurer incentives to fund preventive care, succinctly explaining a core structural breakdown in US healthcare.

The host holds their own ▶ 20:52 Contrasting App Store consumer choice with health plan lock-in

Steph demonstrates sharp domain synthesis by contrasting the vast consumer choice in app marketplaces with the restricted 2-choice bottleneck imposed by employer insurance plans.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Evaluating the Prediction of a Trillion-Dollar Consumer Health Tech Company 3411 Steph opens by asking the guests to justify their bold prediction regarding a trillion-dollar consumer health company and prompts a clearer definition of consumer health tech. Daisy reframes consumer health beyond DTC/telehealth into B2B and insurance-covered models centered on consumer experience. The exchange is collaborative and informative.
Why Tech Founders Are Migrating into Healthcare 3311 Steph references notable tech founders entering healthcare and cites high social media engagement on the guests' article. Vijay and Daisy explain the migration using TAM, software engineering mindset, and public dissatisfaction with health infrastructure. The host facilitates smooth elaboration without pushback.
Addressing Systemic Obstacles and Entrenched Vendors 5525 Steph directly introduces critical listener pushback regarding entrenched vendors, high US GDP spend, and lower life expectancy. Vijay reframes technology's role by dismissing digital UI displays as the absence of real tech and emphasizing AI's power to drive behavioral change. The dynamic includes host challenge via audience quotes.
High Deductibles, Preventative Demand, and Post-COVID Consumer Shift 3511 Daisy educates the audience on structural market flaws, explaining how two-year job turnover disincentivizes insurers from covering preventive care while high deductibles force consumer shopping. Vijay links this to post-COVID consumer desire for personal health agency. The tone remains fluid and cooperative.
Designing Seamless Healthcare and the 30-Year Vision 4412 Steph synthesizes the shift toward consumer agency and asks where product design should start. Vijay details frictionless UI principles while Daisy presents a 30-year vision of continuous subcutaneous monitoring and mobile AI care. The segment showcases forward-looking venture thesis sharing.
Sick Care vs. Prevention, UX Incentives, and Outside Disruption 5513 Steph offers a strong structural comparison between infinite App Store consumer choices and restricted employer health plans. The guests explain principal-agent misalignment where providers optimize for payers rather than patients, using Spotify as an example of external disruption.
Applying Consumer Engagement and Tech Talent to Healthcare 4512 Steph asks how specific consumer tech engagement mechanics apply to healthcare. Daisy outlines specific operational pathways to a trillion-dollar company, including payvider models (UnitedHealth + Apple) and financial payment infrastructure layers (Visa of healthcare).
Capital Requirements, Infiltration Challenges, and Long-Term Vision 4423 Steph challenges the startup-only premise by asking why Big Tech incumbents or retail giants like Walmart wouldn't dominate healthcare first. Vijay invokes the Innovator's Dilemma, arguing Big Tech will avoid complex clinical AI, while Daisy notes incumbent efforts remain shallow experiments.
The Symbiotic Need Between AI and Healthcare 4612 Steph focuses the discussion on impactful technologies like AI. Vijay presents a compelling counter-argument that AI needs healthcare's massive GDP spend to justify model costs, while Daisy explains how healthcare will leapfrog traditional software straight to AI service substitution.
AI Companions, Wearables, and Social Health Contagion 5311 Steph contributes a detailed anecdote about Eight Sleep usage creating social health contagion at a wedding, extending the guests' points about Oura rings and biological age parties. The episode concludes on a highly collaborative, conversational note.

Statements from this episode (27)

Assertion Not checkable as stated
Pande: Multiple startups are vying to become trillion-dollar consumer health giants
“And I think we've seen a lot of companies that are, I think very much vying to be that a trillion dollar biggest company in the world, but obviously we're not there yet. This is just early stages.”
Vijay Pande May 30, 2025 ▶ 0:48
Insight
Wolf: Consumer health tech is defined by UX, not DTC business models
“We think a consumer health company doesn't have to be direct to consumer. It can be distributed through, it can just through B to B. It doesn't have to be cash pay. It could be something that's free for consumers because it's totally covered by insurance. And …”
Daisy Wolf May 30, 2025 ▶ 1:27
Assertion Supported
Wolf: US healthcare is five times larger than the global advertising industry
“Healthcare, US healthcare is five times the size of the global advertising industry, which is what companies like, you know, Meta and Google make all of their money from.”
Daisy Wolf May 30, 2025 ▶ 2:39
Assertion Supported
Wolf: Curing all cancer would only extend American lifespans by three years
“But the reality is, if you cure all cancer, you extend American's lifespan by three years.”
Daisy Wolf May 30, 2025 ▶ 3:32
Assertion Partly supported
Wolf: 88% of Americans are metabolically unhealthy
“88% of Americans are metabolically unhealthy. Half of people don't go to the PCP, half of medications that are prescribed are never taken”
Daisy Wolf May 30, 2025 ▶ 4:08
Assertion Open · timeframe May 2025
Wolf: Only one of the top 100 public software companies is in healthcare
“Of the hundred largest public software companies, one is a healthcare and life science company”
Daisy Wolf May 30, 2025 ▶ 6:29
Assertion Partly supported
Wolf: The US spends 20% of GDP on healthcare for worse outcomes
“We spend, you know, it's 20% of our GDP, which is like double that of any other developing country, developed country, and we have worse outcomes, and we're all suffering.”
Daisy Wolf May 30, 2025 ▶ 7:10
Opinion
Pande: Current healthcare technology is mostly just digitized user interfaces
“So in terms of technology, I think there is technology in healthcare, but it's largely in a user interface. So like MRI is really the same MRI from like the fifties just now with on a computer display. And so that's not really tech. That's actually, I would ca…”
Vijay Pande May 30, 2025 ▶ 9:30
Insight
Pande: Technology's fastest healthcare impact will come from driving behavioral change
“I think the reality is that what makes lifestyle and these cultural things, ah, so impactful is behavioral change. And so I think where technology becomes interesting and where we've already seen it become Powerful is to create that technology. What makes tech…”
Vijay Pande May 30, 2025 ▶ 10:40
Insight
Wolf: Short job tenures destroy insurer incentives to fund preventative care
“And what that's meant in effect is insurance companies don't feel incentivized to cover preventative care because they think some other insurance company will reap the benefits Of that when you switch jobs in two and a half years”
Daisy Wolf May 30, 2025 ▶ 11:31
Insight
Wolf: High out-of-pocket costs force consumers to shop for healthcare quality
“When people are paying for their health care out of their own dollars, they start thinking about quality and shopping and what they really want to understand about their bodies.”
Daisy Wolf May 30, 2025 ▶ 12:20
Prediction Held up
Wolf: Future wearables will predict illnesses before patients feel any symptoms
“These wearable devices are gonna predict that you're getting sick before you even start feeling symptoms and know.”
Daisy Wolf May 30, 2025 ▶ 16:21
Assertion Supported
Wolf: Consumer wearable devices accurately predicted the onset of COVID-19
“A lot of these devices could predict exactly COVID coming on”
Daisy Wolf May 30, 2025 ▶ 16:39
Prediction Open · timeframe May 2055
Wolf: 90% of healthcare will soon be delivered at home via phones
“90% of health care is going to be delivered probably from your phone and in your home.”
Daisy Wolf May 30, 2025 ▶ 16:57
Prediction Not checkable as stated
Wolf: Health insurance will eventually cover consumer wearable health devices
“Today most of these products are consumer purchased, and I think there's totally a world where insurance starts to cover a lot of wearable devices and things today that we think of as consumer products, and we definitely see that.”
Daisy Wolf May 30, 2025 ▶ 19:57
Insight
Wolf: Healthcare UX is terrible because providers treat insurers as the customer
“A key reason consumer experience has been so horrible in healthcare is health, health providers, so hospital systems, doctor's offices, don't really see patients as their end customers because patients generally aren't paying for their care, the insurance comp…”
Daisy Wolf May 30, 2025 ▶ 22:02
Opinion
Wolf: The world's best consumer product talent works in tech, not healthcare
“The best consumer talent in the world work in technology.”
Daisy Wolf May 30, 2025 ▶ 24:28
Assertion Contradicted
Wolf: UnitedHealth Group's Net Promoter Score is a dismal four
“Their NPS is four”
Daisy Wolf May 30, 2025 ▶ 27:02
Insight
Wolf: Legacy integration is the biggest hurdle for horizontal healthcare platforms
“Like if you're going to be the Amazon of healthcare, you've got to onboard every provider in America. You have to onboard every insurance company. You've got to work with, you know, the pharmacy benefit managers. And so it's just going to take time to infiltra…”
Daisy Wolf May 30, 2025 ▶ 29:44
Prediction Not checkable as stated
Pande: Healthcare will produce Jensen Huang-level tech founders within a decade
“I think, you know, I hope that maybe in, in 10 years we'll have you know, similar conversations with Jensen Wong's of healthcare.”
Vijay Pande May 30, 2025 ▶ 30:26
Prediction Not checkable as stated
Pande: Big Tech's healthcare initiatives will remain minor side experiments
“I suspect that for those reasons, it's something that The big tech companies will try, and we've seen Apple and Amazon and Google all dabble, but I think those experiments probably won't fit the way they want to build their company, and so I think they'll stay…”
Vijay Pande May 30, 2025 ▶ 31:33
Insight
Wolf: AI margins trail traditional software but easily beat human services
“AI has far worse margins than traditional software, but it has way better margins than human services.”
Daisy Wolf May 30, 2025 ▶ 36:58
Prediction Not checkable as stated
Wolf: Healthcare will leapfrog traditional software and go straight to AI
“We think we're about to have a similar moment in healthcare where we're gonna leapfrog over traditional software and we're gonna go straight from human services to AI.”
Daisy Wolf May 30, 2025 ▶ 37:36
Assertion Contradicted
Wolf: 20% of all AI venture capital dollars go to healthcare
“20% of AI dollars have gone toward healthcare”
Daisy Wolf May 30, 2025 ▶ 38:39
Insight
Pande: AI-driven behavioral change can tackle the social determinants of mortality
“I think these so-called social determinants of healthcare that are outside of the traditional healthcare system Is actually a large fraction of what leads to mortality and morbidity. And so, AI being able to do behavioral change is such an easy one.”
Vijay Pande May 30, 2025 ▶ 39:34
Prediction Not checkable as stated
Wolf: AI health companions will soon detect illnesses long before doctors can
“If you marry all of those things, like, we're gonna have These companions very soon that are providing actually helpful health tips and monitoring us and telling us when something might go wrong far before we know something's going wrong or far before a doctor…”
Daisy Wolf May 30, 2025 ▶ 40:19
Insight
Wolf: Tech founders don't need clinical PhDs to save lives in healthcare
“You don't have to cure cancer, you don't need a PhD to save lives, like a company that detects medical errors or helps people afford healthcare can save countless lives”
Daisy Wolf May 30, 2025 ▶ 44:44
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