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Mar 25, 2026 · 32m · big-technology

Is AI A Privacy Disaster? And How To Fight Back. — With Andy Yen

Andy Yen · 21m spoken Alex Kantrowitz · 7m spoken
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Host Alex Kantrowitz and Proton CEO Andy Yen discuss the acute privacy threats posed by conversational AI, data harvesting targeting children, and cross-web identity tracking. They evaluate how zero-access encryption, open-weight AI models, and generational privacy tools can restore digital sovereignty against Big Tech surveillance.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 25.1% of the talking time here. How this is scored →

Alex as informed peer 4.0 Guest teaching 5.4 Guest disagreement 3.1 Alex pushing back 2.4
05100:0010:0020:0030:000:00–3:07 · Alex as informed peer 4/10 AI Chatbots and the Hidden Realities of Data Collection Kantrowitz brings up discovering that AI chatbots opt users into training by default, but Yen immediately schools him by explaining that opting out of training still does not stop permanent data storage, subpoena disclosures, or leak exposure.3:09–6:05 · Alex as informed peer 3/10 The Illusion of Incognito Modes and Deep AI Intimacy The host asks if incognito toggles protect user privacy while joking about uploading tax forms. Yen explains the multi-billion dollar Google lawsuits proving incognito's flaws and highlights how conversational data yields psychological profiling beyond web search.6:07–11:53 · Alex as informed peer 5/10 Children, Big Tech Surveillance, and Parental Privacy Regret Yen aggressively compares Big Tech's youth targeting to neighborhood crack dealers hooking users for future monetization. Kantrowitz pushes back on the drug dealer framing and cites trial testimony regarding low youth monetization before exploring the business incentives.11:54–16:07 · Alex as informed peer 4/10 Business Models and Proton's Privacy-First Ecosystem Kantrowitz proposes a cigarette addiction comparison. Yen explains the structural architecture of Google, detailing how Gmail was deliberately built to keep users permanently authenticated across third-party ad networks and analytics.16:07–23:21 · Alex as informed peer 4/10 Born Private: Reserving Digital Identity for the Next Generation Yen outlines Proton's Born Private initiative, arguing parents irresponsibly compromise their kids' futures with Gmail. Kantrowitz raises a practical pushback, asking whether shunning the Google ecosystem puts children at a competitive and educational disadvantage.23:23–26:28 · Alex as informed peer 2/10 Third-Party Single Sign-On and Cross-Web Tracking Risks The host questions third-party single sign-on mechanisms, admitting he didn't know platforms tracked detailed in-app behavior. Yen explains how backend authentication calls and integrated analytics correlate identity across the web.26:28–30:49 · Alex as informed peer 6/10 Open Source AI, Nvidia, and the Future of Private LLMs Kantrowitz presses Yen on how Proton can compete with $700 billion in Big Tech AI infrastructure spending. Yen counters with open-weight model convergence and Moore's law, before Kantrowitz bolsters the discussion by citing Nvidia's $26 billion open-source investments.0:00–3:07 · Guest teaching 6/10 AI Chatbots and the Hidden Realities of Data Collection Kantrowitz brings up discovering that AI chatbots opt users into training by default, but Yen immediately schools him by explaining that opting out of training still does not stop permanent data storage, subpoena disclosures, or leak exposure.3:09–6:05 · Guest teaching 5/10 The Illusion of Incognito Modes and Deep AI Intimacy The host asks if incognito toggles protect user privacy while joking about uploading tax forms. Yen explains the multi-billion dollar Google lawsuits proving incognito's flaws and highlights how conversational data yields psychological profiling beyond web search.6:07–11:53 · Guest teaching 5/10 Children, Big Tech Surveillance, and Parental Privacy Regret Yen aggressively compares Big Tech's youth targeting to neighborhood crack dealers hooking users for future monetization. Kantrowitz pushes back on the drug dealer framing and cites trial testimony regarding low youth monetization before exploring the business incentives.11:54–16:07 · Guest teaching 6/10 Business Models and Proton's Privacy-First Ecosystem Kantrowitz proposes a cigarette addiction comparison. Yen explains the structural architecture of Google, detailing how Gmail was deliberately built to keep users permanently authenticated across third-party ad networks and analytics.16:07–23:21 · Guest teaching 4/10 Born Private: Reserving Digital Identity for the Next Generation Yen outlines Proton's Born Private initiative, arguing parents irresponsibly compromise their kids' futures with Gmail. Kantrowitz raises a practical pushback, asking whether shunning the Google ecosystem puts children at a competitive and educational disadvantage.23:23–26:28 · Guest teaching 7/10 Third-Party Single Sign-On and Cross-Web Tracking Risks The host questions third-party single sign-on mechanisms, admitting he didn't know platforms tracked detailed in-app behavior. Yen explains how backend authentication calls and integrated analytics correlate identity across the web.26:28–30:49 · Guest teaching 5/10 Open Source AI, Nvidia, and the Future of Private LLMs Kantrowitz presses Yen on how Proton can compete with $700 billion in Big Tech AI infrastructure spending. Yen counters with open-weight model convergence and Moore's law, before Kantrowitz bolsters the discussion by citing Nvidia's $26 billion open-source investments.0:00–3:07 · Guest disagreement 3/10 AI Chatbots and the Hidden Realities of Data Collection Kantrowitz brings up discovering that AI chatbots opt users into training by default, but Yen immediately schools him by explaining that opting out of training still does not stop permanent data storage, subpoena disclosures, or leak exposure.3:09–6:05 · Guest disagreement 2/10 The Illusion of Incognito Modes and Deep AI Intimacy The host asks if incognito toggles protect user privacy while joking about uploading tax forms. Yen explains the multi-billion dollar Google lawsuits proving incognito's flaws and highlights how conversational data yields psychological profiling beyond web search.6:07–11:53 · Guest disagreement 6/10 Children, Big Tech Surveillance, and Parental Privacy Regret Yen aggressively compares Big Tech's youth targeting to neighborhood crack dealers hooking users for future monetization. Kantrowitz pushes back on the drug dealer framing and cites trial testimony regarding low youth monetization before exploring the business incentives.11:54–16:07 · Guest disagreement 2/10 Business Models and Proton's Privacy-First Ecosystem Kantrowitz proposes a cigarette addiction comparison. Yen explains the structural architecture of Google, detailing how Gmail was deliberately built to keep users permanently authenticated across third-party ad networks and analytics.16:07–23:21 · Guest disagreement 3/10 Born Private: Reserving Digital Identity for the Next Generation Yen outlines Proton's Born Private initiative, arguing parents irresponsibly compromise their kids' futures with Gmail. Kantrowitz raises a practical pushback, asking whether shunning the Google ecosystem puts children at a competitive and educational disadvantage.23:23–26:28 · Guest disagreement 3/10 Third-Party Single Sign-On and Cross-Web Tracking Risks The host questions third-party single sign-on mechanisms, admitting he didn't know platforms tracked detailed in-app behavior. Yen explains how backend authentication calls and integrated analytics correlate identity across the web.26:28–30:49 · Guest disagreement 3/10 Open Source AI, Nvidia, and the Future of Private LLMs Kantrowitz presses Yen on how Proton can compete with $700 billion in Big Tech AI infrastructure spending. Yen counters with open-weight model convergence and Moore's law, before Kantrowitz bolsters the discussion by citing Nvidia's $26 billion open-source investments.0:00–3:07 · Alex pushing back 1/10 AI Chatbots and the Hidden Realities of Data Collection Kantrowitz brings up discovering that AI chatbots opt users into training by default, but Yen immediately schools him by explaining that opting out of training still does not stop permanent data storage, subpoena disclosures, or leak exposure.3:09–6:05 · Alex pushing back 1/10 The Illusion of Incognito Modes and Deep AI Intimacy The host asks if incognito toggles protect user privacy while joking about uploading tax forms. Yen explains the multi-billion dollar Google lawsuits proving incognito's flaws and highlights how conversational data yields psychological profiling beyond web search.6:07–11:53 · Alex pushing back 5/10 Children, Big Tech Surveillance, and Parental Privacy Regret Yen aggressively compares Big Tech's youth targeting to neighborhood crack dealers hooking users for future monetization. Kantrowitz pushes back on the drug dealer framing and cites trial testimony regarding low youth monetization before exploring the business incentives.11:54–16:07 · Alex pushing back 1/10 Business Models and Proton's Privacy-First Ecosystem Kantrowitz proposes a cigarette addiction comparison. Yen explains the structural architecture of Google, detailing how Gmail was deliberately built to keep users permanently authenticated across third-party ad networks and analytics.16:07–23:21 · Alex pushing back 3/10 Born Private: Reserving Digital Identity for the Next Generation Yen outlines Proton's Born Private initiative, arguing parents irresponsibly compromise their kids' futures with Gmail. Kantrowitz raises a practical pushback, asking whether shunning the Google ecosystem puts children at a competitive and educational disadvantage.23:23–26:28 · Alex pushing back 1/10 Third-Party Single Sign-On and Cross-Web Tracking Risks The host questions third-party single sign-on mechanisms, admitting he didn't know platforms tracked detailed in-app behavior. Yen explains how backend authentication calls and integrated analytics correlate identity across the web.26:28–30:49 · Alex pushing back 5/10 Open Source AI, Nvidia, and the Future of Private LLMs Kantrowitz presses Yen on how Proton can compete with $700 billion in Big Tech AI infrastructure spending. Yen counters with open-weight model convergence and Moore's law, before Kantrowitz bolsters the discussion by citing Nvidia's $26 billion open-source investments.

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

0:00 · Alex 36% · guest 64%0:00 · Alex 36% · guest 64%3:00 · Alex 37.2% · guest 62.8%3:00 · Alex 37.2% · guest 62.8%6:00 · Alex 32.5% · guest 67.5%6:00 · Alex 32.5% · guest 67.5%9:00 · Alex 43.2% · guest 56.8%9:00 · Alex 43.2% · guest 56.8%12:00 · Alex 11.7% · guest 88.3%12:00 · Alex 11.7% · guest 88.3%15:00 · Alex 19.9% · guest 80.1%15:00 · Alex 19.9% · guest 80.1%18:00 · Alex 5% · guest 95%18:00 · Alex 5% · guest 95%21:00 · Alex 29% · guest 71%21:00 · Alex 29% · guest 71%24:00 · Alex 22.6% · guest 77.4%24:00 · Alex 22.6% · guest 77.4%27:00 · Alex 12.5% · guest 87.5%27:00 · Alex 12.5% · guest 87.5%30:00 · Alex 28.6% · guest 71.4%30:00 · Alex 28.6% · guest 71.4%
Sharpest disagreement ▶ 10:38 Social media compared to crack dealers

Andy Yen rejects corporate guardrail arguments and fiercely compares social media companies to neighborhood crack dealers intentionally hooking kids to milk them for lifetime profits.

 Hardest push from Alex ▶ 11:20 Pushing back on the crack analogy

Kantrowitz refuses to accept Yen's extreme drug dealer analogy, balancing the discussion by noting that under-18 users simply lack adult purchasing power.

 Biggest teaching moment ▶ 1:11 AI opt-outs do not prevent data retention

When the host expresses relief at finding AI model training opt-out toggles, Yen directly corrects him, explaining that opt-outs do nothing to stop permanent server storage, subpoena compliance, or security breaches.

 Alex holds their own ▶ 26:28 Drilling on the $700B AI infrastructure barrier

Kantrowitz demonstrates sharp industry expertise by challenging Proton's technical viability against Big Tech's $700 billion capex spending and later citing Nvidia's specific open-source investments.
the scores for every segment, with the reasoning behind each
ChapterTopicAlex as informed peerGuest teachingGuest disagreementAlex pushing backWhy
AI Chatbots and the Hidden Realities of Data Collection 4631 Kantrowitz brings up discovering that AI chatbots opt users into training by default, but Yen immediately schools him by explaining that opting out of training still does not stop permanent data storage, subpoena disclosures, or leak exposure.
The Illusion of Incognito Modes and Deep AI Intimacy 3521 The host asks if incognito toggles protect user privacy while joking about uploading tax forms. Yen explains the multi-billion dollar Google lawsuits proving incognito's flaws and highlights how conversational data yields psychological profiling beyond web search.
Children, Big Tech Surveillance, and Parental Privacy Regret 5565 Yen aggressively compares Big Tech's youth targeting to neighborhood crack dealers hooking users for future monetization. Kantrowitz pushes back on the drug dealer framing and cites trial testimony regarding low youth monetization before exploring the business incentives.
Business Models and Proton's Privacy-First Ecosystem 4621 Kantrowitz proposes a cigarette addiction comparison. Yen explains the structural architecture of Google, detailing how Gmail was deliberately built to keep users permanently authenticated across third-party ad networks and analytics.
Born Private: Reserving Digital Identity for the Next Generation 4433 Yen outlines Proton's Born Private initiative, arguing parents irresponsibly compromise their kids' futures with Gmail. Kantrowitz raises a practical pushback, asking whether shunning the Google ecosystem puts children at a competitive and educational disadvantage.
Third-Party Single Sign-On and Cross-Web Tracking Risks 2731 The host questions third-party single sign-on mechanisms, admitting he didn't know platforms tracked detailed in-app behavior. Yen explains how backend authentication calls and integrated analytics correlate identity across the web.
Open Source AI, Nvidia, and the Future of Private LLMs 6535 Kantrowitz presses Yen on how Proton can compete with $700 billion in Big Tech AI infrastructure spending. Yen counters with open-weight model convergence and Moore's law, before Kantrowitz bolsters the discussion by citing Nvidia's $26 billion open-source investments.

Statements from this episode (10)

Assertion Supported
Yen: Opting out of AI training does not prevent data collection indefinitely
“Even if they don't use it for training, they can still store it for a long time, actually forever. They can still hand it over to a government under a subpoena. They could leak it if they were hacked in the future. So just because you've opted out of training …”
Andy Yen Mar 25, 2026 ▶ 1:13
Opinion
Yen: Gemini supercharges Google's surveillance model far beyond traditional search
“If you use Gemini instead of Google search, It is really supercharging Google's ability to understand who you are, and it knows a lot more than if you were just using a search product. So it's, you could think of it as Google's business model, but now on stero…”
Andy Yen Mar 25, 2026 ▶ 2:51
Prediction Not checkable as stated
Yen: AIs will soon discern who we are better than psychologists
“AIs are going to get better at discerning who we are than probably even a psychologist.”
Andy Yen Mar 25, 2026 ▶ 5:38
Assertion Partly supported
Proton survey: 70% of kids have smartphones by 10, mostly using Gmail
“Today around 70% of kids have access to a smartphone by the age of 10, right? This is like seven and 10. And of those, actually, around three quarters are using Gmail.”
Andy Yen Mar 25, 2026 ▶ 7:25
Assertion Partly supported
Proton survey: 60% of parents want to erase kids' Big Tech data
“41% of parents say that if they could start over and do things differently with putting their children online, they actually would want to, you know, start over. And 60% would want to be able to erase all the information about the kid that today is on these bi…”
Andy Yen Mar 25, 2026 ▶ 8:00
Opinion
Yen: Social media is 'not so much different' than crack dealers
“What is social media? I view it literally not so much different than the neighborhood you know, pot or crack dealer. It's there to get kids hooked and addicted and put a lifetime of interdependency.”
Andy Yen Mar 25, 2026 ▶ 10:43
Insight
Yen: Gmail exists primarily to permanently log users into Google's tracker
“And why did Google go so quickly into email? The reason is because they figured out in order to get all your information and correlate it to a single profile, they need you to be logged in. And the one thing that you're always logged into all the time online i…”
Andy Yen Mar 25, 2026 ▶ 14:53
Opinion
Yen: Responsible parents knowing Google's model wouldn't sign up their children
“I think you cannot be a responsible parent today, know what Google does, and willingly sign up your child into that ecosystem.”
Andy Yen Mar 25, 2026 ▶ 18:17
Prediction Not checkable as stated
Yen: Frontier AI training costs will plummet to $1M in years
“What I mean by this is today, if you want to train a top of the line, you know, our frontier model, that might cost you a couple billion dollars. But in a couple of years, that might be fifty million to, you know, a hundred million. And then a few more years o…”
Andy Yen Mar 25, 2026 ▶ 28:44
Insight
Yen: Nvidia backs open AI models primarily to sell more GPUs
“Nvidia sells GPUs. They don't sell proprietary models. And if they have great open models that everybody can use, then everybody is going to buy GPUs.”
Andy Yen Mar 25, 2026 ▶ 29:46
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