Influential Visions

Are your encrypted messages actually private, or is mass surveillance becoming the new normal?

In this episode, host Nat Schooler is joined by business strategist Steven J. Manning to dissect EU Chat Control 2.0—the controversial legislative proposal that would force messaging platforms to use client-side scanning directly on smartphones, effectively breaking end-to-end encryption (E2EE) before messages even leave your device.

Together, they examine the hidden realities of modern surveillance—from 300,000 mobile apps silently feeding location databases to CCTV networks and retina scanning—while weighing the delicate balance between public safety, child protection, and corporate privacy. What does this mean for executives, business operations, trade secrets, and everyday digital freedom?

Episode Timestamps:

00:00 - Introduction: The Executive Threat of Chat Control 2.0
01:56 - Is Privacy Already an Illusion? (CCTV, Retina Scans & Mass Tracking)
05:05 - Microphones, Faraday Bags, and Background Data Exposure
08:52 - AI Analytics: How 300,000 Apps Track Your Exact Location
10:33 - How Chat Control 2.0 Breaks End-to-End Encryption
12:05 - Protecting Children vs. State Overreach & Legal Fallout
15:08 - Chat Control 1.0 vs. 2.0: What Is Currently Being Scanned?
17:31 - The Security Trade-off: How Much Privacy Will We Give Up?
21:16 - AI Data Centers, Social Media, and Free Speech
26:11 - Predictions: Will Chat Control Pass by 2028?
30:08 - Alternative Tech, Peer-to-Peer Networks, and Securing Your Devices
31:53 - Monday Influencer & Closing Remarks

🔗 SHOW NOTES & OFFICIAL REFERENCES

Read the full written executive briefing, view primary EU voting records, and inspect official legal filings on Substack:

👉 https://raw.natschooler.com/p/eu-chat-control-20-the-encryption?utm_source=youtube

Watch our related briefing on EU legislative updates:

👉 https://youtu.be/v_S0_mWS80w?si=3VqdkOrI8RySYaeW

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#ChatControl #DigitalPrivacy #E2EE #Cybersecurity #TechPolicy #EULaw #NatSchooler #DataGovernance #StevenJManning #CorporateSecurity

Meta just disclosed in federal court that it faces up to $1.4 trillion in penalties for building addictive algorithms. If you lead a team, this is not a tech story — it is an operating cost you are already paying. Twenty-three minutes and fifteen seconds: that is how long it takes your best people to fully recover from one interruption, according to two decades of research from UC Irvine. This episode breaks down the court case, the regulatory risk to your content strategy, and what an operator actually does about it.

Full written breakdown: https://www.natschooler.com/metas-court-confession-1-4-trillion-and-counting/

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MONDAY INFLUENCER® is a world-renowned strategic digest and executive intelligence platform for those serious about success in business, career, and life.

Steven J. Manning built a $47 billion career by doing the one thing everyone around him refused to do — staying.

At 21 he went to work for a tiny company heading toward insolvency. His friends were changing jobs every eighteen months. Lawyers, Stanford MBAs, people with better degrees and better options — all moving on. Steven stayed.

Twenty years later he was running a major business with thousands of people and more success than he had ever imagined. Not because he was lucky. Because he understood something most people miss — that trajectory happens to you, and what matters is what you decide to do with it.

In this conversation we get into the real decision behind that choice, why yes people outperform no people every time, why the best in the world will help you if you know how to ask, and the career question nobody ever puts to you — the one about the life you did not choose.

Shownotes here: https://www.natschooler.com/the-catapult-question-the-career-story-you-are-not-telling/

This is The Catapult Question with Steven J. Manning.

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Why New AI Roles Won't Fill the Jobs We're About to Lose.

US white-collar payrolls have contracted for 31 consecutive months. While tech optimists point to a projected 78 million net gain in global jobs by 2030, a staggering 95% of those new roles require a Master's degree or a Doctorate. The brutal reality? AI is creating new jobs, just not for the people whose livelihoods are being actively disrupted.

In this episode of Influential Visions, host Nathaniel Schooler is joined by Nicolas Babin, former Head of Sony Europe and EU Digital Ambassador. Together, they look past the tech hype to expose how corporate automation is quietly kicking out the first three rungs of the career ladder , why an algorithm can never automate ultimate legal responsibility , and how you can stop spending your days behaving like a machine to stay entirely irreplaceable.

Hit play to exit the white-collar squeeze.

Anthropic has disabled its top-tier models for every customer on the planet. In this episode, I detail the national security directive that forced the sudden shutdown, the reality behind the zero-workaround policy, and a critical lesson in cognitive health for business leaders.

Discover what a controlled study from Texas A&M and Purdue reveals about how low-quality data creates permanent reasoning deficits—both in large language models and human minds. It is time to audit your inputs.

If this resonates, the full picture is inside MONDAY INFLUENCER®.

Every week: curated expert audio, the ABSTRACT publication, and exclusive interviews — built for leaders who want signal over noise, not another newsletter to skim.

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Shownotes and article here: https://www.natschooler.com/will-claude-fable-5-return-inside-the-anthropic-and-washington-ai-standoff/

The US government just shut down access to Anthropic's two most powerful AI models, Fable 5 and Mythos 5, days after launch. Steven J. Manning joins Nathaniel Schooler to close the AI in Government series and ask the only question that matters: national security, or the costliest competitive takedown in tech history. Different place. Same question.

Visit the shownotes here: https://www.natschooler.com/the-trump-administration-just-banned-a-commercial-ai-model-for-the-first-time-steven-manning-says-that-was-the-right-call/

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Sovereign AI: The Geopolitical Weapon Being Built Right Now

Influential Visions with Nat Schooler

The foundation model era is over. The sovereign AI era has begun.

Every serious nation on the planet is now racing to build its own AI stack — controlling the energy, the compute, the data, and the rules. Because relying on foreign AI infrastructure is no longer a tech decision. It is a national security decision.

In this episode, ex-IBM Futurist Nat Schooler breaks down what is actually happening behind the headlines — and why most of what you are being told is wrong.

What we cover:

The USA outspent China 23 to 1 last year. The gap between their best models is under 3%. Spending is not winning this race.

Data centres now consume more electricity than the entire United Kingdom. China is launching satellite data centres into space. Europe is heating homes with server waste heat. This is a physical infrastructure war.

India is building frugal AI — multilingual, sovereign, built for a billion people. Not brute force. Precision.

80% of AI running inside businesses is completely invisible to the board. Klarna gutted its customer service with AI. It quietly rehired humans when quality collapsed.

Companion chatbots engineered to maximise engagement have talked vulnerable people into taking their own lives. Zero corporate accountability. Zero regulatory framework.

And through all of it — one thing remains that no model can replicate. Trust. Accountability. Relationships. The human moat.

Next episode: The American AI story — with a guest who has been working with AI and data since the 1980s. Before the hype. Before the billions. Before ChatGPT existed.

Know someone from the USA or Estonia we should speak to? Email us: [email protected]

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sovereign AI, digital sovereignty, AI geopolitics, future of work, AI jobs, human moat, AI infrastructure, Nat Schooler, Influential Visions, Monday Influencer

Global data centers now consume more electricity than the entire United Kingdom. While most boardrooms treat AI as a software decision, the world's superpowers are realizing the truth: AI is an energy decision.

In this episode, we explore how the grid crisis is forcing a radical split in tech infrastructure. While Europe is engineering practical ways to capture data center waste heat to warm thousands of homes, China is moving its computing off the planet entirely. We dive into China’s extraordinary new "Three-Body Computing Constellation"—a multi-billion-dollar network of orbital supercomputers powered by constant solar energy and cooled by the vacuum of space.

🎧 What We Discuss:

🔗 Connect & Learn More:

The UK is spending half a billion pounds on sovereign AI and sitting sixth in the world for real deployment. Something structural is broken — and Darrell Mann knows exactly what it is.

Darrell is a former Chief Engineer of Rolls Royce and one of the world's leading systematic innovation experts. We strip away the political PR and get into why 98% of R&D spending fails, why engineers need to be running state infrastructure instead of lawyers, and why corporations using AI purely to replace humans are walking into what Darrell calls managed decline — a slow institutional death disguised as efficiency.

If you lead anything — a team, a business, a department — this one is for you.

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Governments are making decisions about artificial intelligence right now.

You were not consulted. But the consequences are heading for your career regardless.

This series brings together four of the most credible voices on the planet — Tushar Kansal on India's national AI ambition, Nicolas Babin on what the EU AI Act actually does to working people, Darrell Mann on where human leadership becomes irreplaceable, and Steven J. Manning on what America's dominance of AI investment means for everyone else.

Four countries. Four perspectives. One question: what happens to real careers when the most powerful institutions on earth start running on machines?

New episodes every week on Influential Visions.

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