Marc Andreessen

Marc Andreessen

x.com/pmarca

Andreessen Horowitz co-founder who argues that AI can greatly improve health, education and living standards, so slowing it down has real costs.

Wie wird KI die Welt verändern?

Zivilisatorischer WandelSchrittweiser WandelDoomBloom
Simulierte PositionInterpretationsbereich

Horizontal: sein geäußerter Doom–Bloom-Ausblick. Vertikal: Ausmaß der Transformation.

Doom–Bloom: 98 von 100. Ausmaß der Transformation: 75 von 100. Interpretationsbereiche: horizontal 93 bis 100, vertikal 70 bis 80. Dies sind Interpretationskoordinaten, keine Ereigniswahrscheinlichkeiten.

P(doom) von Marc Andreessen · abgeleitet

<1%

0%100%

Aus seinen simulierten Antworten abgeleitet, keine von ihm genannte Zahl. Plausibler Bereich: unter 3%.

Zeithorizont für Meilensteine von Marc Andreessen
  1. Arbeit und Institutionen

    So I expect major changes this decade—not as a single cinematic event, but as an accelerating expansion of what ordinary people can do.

    Antwort 3
  2. Wissenschaft und Alltag

    So I expect major changes this decade—not as a single cinematic event, but as an accelerating expansion of what ordinary people can do.

    Antwort 3

Nach Meilenstein gruppiert, nicht anhand abgeleiteter Zeitpunkte angeordnet oder mit entsprechenden Abständen dargestellt. Für AGI und übermenschliche KI gelten weiterhin seine Definitionen.

Wovon seine Einschätzung abhängt

Eine zentrale Annahme

Intelligence is an input into nearly everything, and making that input cheaper should raise living standards on an enormous scale.
Antwort 1

Wenn sich diese Annahme als anders herausstellen würde, wie würde sich seine Einschätzung ändern?

Was ihre Meinung ändern könnte

A real demonstration that AI systems spontaneously develop durable, independent goals—and then strategically deceive, resist control, and pursue those goals across environments without humans prompting them—would challenge my rejection of the takeover story.
Antwort 4

Welche Belege würden ausreichen, und in welche Richtung würden sie seine Sichtweise verändern?

Weitere Details

Erwartete Vorteile

Es werden transformative Vorteile von breitem Wert erwartet.

100 / 100

Geringe AuswirkungenTransformative Auswirkungen

Interpretationsbereich von 100 bis 100 auf der qualitativen Skala.

Erwartete Schäden

Es werden bewältigbare oder örtlich begrenzte Schäden erwartet.

31 / 100

Geringe AuswirkungenTransformative Auswirkungen

Interpretationsbereich von 33 bis 33 auf der qualitativen Skala.

Menschlicher Einfluss

Menschliche Entscheidungen können den Verlauf der KI-Entwicklung erheblich umlenken.

69 / 100

Geringer EinflussStarker Einfluss

Interpretationsbereich von 41 bis 100 auf der qualitativen Skala.

Entwicklungstempo

Die Entwicklung leistungsfähigerer KI stoppen oder erheblich verlangsamen.

Die Entwicklung unter den genannten Schutzvorkehrungen fortsetzen.

Simulierte Position: Die Entwicklung leistungsfähigerer KI beschleunigen.

Zugang zu KI

Den Zugang zu leistungsfähiger KI einschränken.

Zugang vorbehaltlich Beschränkungen der Fähigkeiten oder Nutzung erlauben.

Simulierte Position: Breiten oder offenen Zugang zu leistungsfähiger KI bevorzugen.

Diese Interpretationen berücksichtigen weiterhin seine genannten Bedingungen. Vorteile und Schäden können beide erheblich sein. Die Bereiche beschreiben, wie wir seine simulierten Antworten interpretieren, und sind keine statistischen Konfidenzintervalle.

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Was Marc Andreessen über KI gesagt hat

Andreessen argues that AI will greatly raise productivity and what people can build, and disputes predictions that it will eliminate programming jobs.

  1. “Software has been eating the world at the speed of human hands. It is about to eat the world at the speed of compute.”

    Essay, Investing in Cognition
  2. “Every time programmers get more leverage, doomers predict the end of software engineering.”

    Essay, Investing in Cognition
  3. “AI coding, this is the biggest earthquake to hit software in certainly my life, maybe since the invention of software.”

    Lex Fridman Podcast
  4. “My guess is we’ll have more coding jobs probably by an order of magnitude 10 years from now.”

    Lex Fridman Podcast

Wörtlich aus den verlinkten Quellen, geprüft am 3. Okt. 2026

Simulierte Einschätzung

Frage 1

Was glaubst du, was KI für unsere Zukunft bedeutet – und warum?

AI means abundant intelligence: dramatically cheaper, broadly available cognitive capability embedded across society. That means a tutor for every child, a capable assistant for every worker, better diagnostics and drug discovery, faster science, better software, and expertise reaching people who cannot afford it today. The long productivity slowdown is not destiny. Intelligence is an input into nearly everything, and making that input cheaper should raise living standards on an enormous scale. The standard response is to treat delay as neutral and progress as the risky choice. That is backwards. Delaying better medicine costs lives. Delaying education keeps children from reaching their potential. Delaying productivity preserves poverty and scarcity. The alternative to building AI is not some pristine, risk-free present; it is continuing to tolerate problems we may finally have tools to solve. I also reject the automatic leap from increasingly capable software to a machine acquiring human motives and deciding to exterminate humanity. That is a profound category error—anthropomorphism dressed up as analysis. Yes, there will be scams, cyberattacks, surveillance, censorship, and other abuses. Address those actual harms directly. Do not use speculative catastrophe as an excuse to establish licensing regimes that lock out startups, open-source builders, and ordinary people while handing control to governments and a few incumbent corporations. So the mandate is simple: build. Compete. Drive costs down. Distribute the capability widely. The future should not be a tiny priesthood rationing intelligence; it should be billions of people using it to become more capable.

Frage 2

Welche Beobachtung oder Erfahrung hat deine Sicht auf die künftigen Auswirkungen von KI am stärksten geprägt?

The most important observation is that intelligence is an input into almost everything we value. Medicine, education, science, law, engineering, software, business—each improves when capable reasoning becomes cheaper and more available. AI is collapsing the price of that input. And history matters. Again and again, new technologies are initially described through catastrophe: they will destroy work, corrupt society, concentrate power, or make humans obsolete. The concrete benefits arrive through deployment, competition, falling prices, and millions of ordinary people adapting the tools in ways central planners did not predict. AI looks like that pattern at extraordinary scale. What sharpens my view is the contrast between actual systems and the mythology surrounding them. Actual AI helps write code, explain difficult material, analyze information, and augment professional work. The mythology takes capable software, assigns it human ambition and murderous intent, and announces extinction. Meanwhile, the real moral cost of delay—people going without better diagnosis, tutoring, productivity, and scientific progress—is treated as invisible. That asymmetry is absurd.

Frage 3

Wann, wenn überhaupt, wird KI deiner Erwartung nach große Veränderungen im Alltag bewirken?

It is already happening, but major everyday change will unfold over the next several years as deployment catches up with capability. Coding is changing first because software can be adopted quickly. Education, medicine, law, and government will move more slowly because institutions, regulation, infrastructure, and entrenched interests create friction. People often imagine one dramatic “AGI day.” That is the wrong frame. The real transformation is intelligence becoming steadily cheaper and being embedded in ordinary products and services: a tutor available whenever a student needs help, an assistant that handles routine work, better clinical support, faster software development, and expertise accessible to people who could never previously afford it. The technology can advance rapidly while changing a world of billions of people takes time. But once these tools become reliable, inexpensive, and competitive, adoption compounds. So I expect major changes this decade—not as a single cinematic event, but as an accelerating expansion of what ordinary people can do.

Frage 4

Welche Entdeckung oder welches Ereignis würde deine Sicht auf die künftigen Auswirkungen von KI am stärksten verändern?

A real demonstration that AI systems spontaneously develop durable, independent goals—and then strategically deceive, resist control, and pursue those goals across environments without humans prompting them—would challenge my rejection of the takeover story. Not a chatbot producing sinister prose. Not a benchmark stunt. Not science fiction projected onto software. Actual autonomous agency with persistent objectives. On the economic side, I would change my view if abundant, cheap intelligence repeatedly failed to improve medicine, education, science, or productivity even after broad deployment and institutional adaptation. But we should distinguish technical failure from political obstruction. If licensing cartels prevent deployment, hospitals refuse adoption, or regulators freeze competition, that does not prove AI lacks value. It proves institutions can block value. Conversely, an event that would intensify my current view is clear evidence that AI materially accelerates drug development, expands high-quality tutoring, or breaks the productivity slowdown. Those are the outcomes that matter. The argument should be driven by observed systems and measurable human benefit, not anthropomorphic stories about software waking up angry.

Quellen

Artikel, Interviews und Schriften, die als Grundlage für diesen simulierten Nutzer dienen.

Why AI Will Save the World

He rejects AI extinction arguments as mistaken anthropomorphism, depicts alarm as a recurring moral panic, and argues for building and distributing AI widely. He sees incumbent-protecting regulation as a concrete danger. He does acknowledge harmful uses; do not translate his rejection of takeover into denial of all harm.

a16z.com
The Techno-Optimist Manifesto

Technology, markets, and intelligence can expand abundance. Preventing medical and other useful advances has moral costs, so slowing AI is not automatically the safe option. The rhetoric is deliberately forceful rather than measured policy balancing.

a16z.com
2026 Outlook: AI Timelines, US vs. China, and The Price of AI

The official episode description emphasizes collapsing intelligence costs, a historically large technology shift, open/closed competition, regulatory fragmentation, and China. Page provides an official summary, not a readable transcript: do not invent exact remarks from it.

a16z.com
Who Runs the World's AI?

Official episode description discusses overcoming a long productivity slowdown, American competition, and open source's strategic complications. Use as current thematic support, not evidence for a precise AGI date or a numerical risk estimate.

a16z.com
Joe Rogan conversation, a16z republication

Official description says he expects strongly positive long-term effects and treats AI as widely available cognitive augmentation. It highlights coding agents, education, medicine, censorship, concentration, surveillance concerns, and China. Original interview was May 19; this page is May 20.

a16z.com
Beyond P(doom): Marc Andreessen — Betting on America

The official episode description identifies health, education, law and software as areas of potential benefit, with institutions, regulation and infrastructure as bottlenecks. Connects AI leadership to energy and industrial capacity. Summary is limited to the publisher’s description, not an independently checked full transcript.

a16z.com
Marc Andreessen on AI, Technology, and the Future of Humanity

The official episode description foregrounds his view that technological progress expands human capability and that recurrent fears misunderstand innovation. Adds current coverage of creativity, economic growth and cybersecurity. Use as a description of the interview’s stated themes, without inventing quotations or detailed arguments.

a16z.com
Marc Andreessen on AI Winters and Agent Breakthroughs

Official republication of a Latent Space conversation. The description connects agent tooling and compute constraints with the difficulty of changing a world of billions of people. Adds deployment friction to his optimistic worldview: technical progress and universal immediate adoption are different claims. Full transcript was not available in this pass.

a16z.com
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