The Human Computer: What Automation Teaches Us about Surviving AI - Softcover

Daunis, Ivan

Softcover

ISBN 13: 9798218902490

Verlag: Slavinsky, 2025

Inhaltsangabe

They said electronic computers would eliminate human computers. They were wrong.

In 1946, ENIAC could calculate in seconds what took human computers weeks. Everyone predicted mass unemployment. Instead, those "obsolete" workers became the world's first programmers—and launched the entire software industry.

History is repeating itself. Most people are missing the pattern.

I'm literally building the automation that's supposed to replace you.

I'm Ivan Daunis. I lead agentic AI development at PayPal—systems that write code, agents that make decisions. I've filed patents on AI systems, published research on agent orchestration, and earned my Master's in AI/ML at 48 while building the automation everyone worries about.

Here's what I've learned from the inside: AI won't replace you. But engineers who use AI will replace engineers who don't.

In my 30-year career, I've lived through four waves of "obsolescence":

• Wave 1: Web editors that would "eliminate programmers"
• Wave 2: Cloud platforms that would "eliminate sysadmins"
• Wave 3: Frameworks that would "commoditize coding"
• Wave 4: AI that will "replace knowledge workers"

Each time: panic, adaptation, transformation. Each time, humans who adapted didn't just survive—they thrived.

This book reveals the pattern and gives you the playbook.

Inside you'll discover:

• The 5-stage adaptation pattern that's repeated for 80 years—and predicts exactly what's happening now
• The four irreplaceable skills AI fundamentally cannot replicate (and how to develop them deliberately)
• Why junior engineers with AI still can't replace senior engineers with AI—and what that means for your career
• A practical 90-day plan to reposition yourself where humans remain essential
• What I see daily building AI that the headlines miss

I'm not a consultant writing about AI's potential. I'm an engineer who sees what works in reality, not just in demos.

If you're doing knowledge work—software engineering, data science, product management, or anything in between—you're facing the same choice the human computers faced in 1946.

The good news? The pattern is reliable. Those who recognize it early have enormous advantages.

This isn't about surviving AI. It's about using AI to become irreplaceable.

Details zur Ausgabe

• Verlag: Slavinsky
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 13: 9798218902490
• Einband: Taschenbuch
• Anzahl der Seiten: 272
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland