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AI 2026 / 2028: TECH VISION

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AI 2026 / 2028: TECH VISION

By: Sam Zuker
Narrated by: Harvey Wallmann
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About this listen

The year 2026 is not a distant marker on a slow technological horizon; it is the crest of the wave. The time for conceptualizing AI’s future impact is over. We are now entering a compressed, high-velocity era—the Three-Year Leap (2026–2028) that will redefine the structure of work, capital, and society. This audiobook is a field guide to that leap. For decades, AI was a computational assistant, requiring explicit instruction for every task. By 2026, two concurrent developments converge to shatter that paradigm: the emergence of truly Agentic AI and the democratization enabled by Small Language Models (SLMs).

Agentic AI allows machines to autonomously plan, execute, and iterate complex goals without step-by-step human guidance, effectively multiplying the economic leverage of every dollar spent on compute. Simultaneously, SLMs shatter the centralization of AI, delivering powerful, specialized intelligence to every device, factory floor, and edge network, making specialized intelligence ubiquitous and cost-effective. This convergence creates a productivity shock the global economy has not seen since the industrial revolution. We are moving past the mere automation of tasks and into the automation of judgment. The purpose of this audiobook is to provide a comprehensive, actionable roadmap for navigating this intense three-year period.

We do not simply offer predictions; we analyze the essential infrastructure—from AI Supercomputing to Synthetic Data—and detail the necessary ethical and governance frameworks required to manage autonomous systems. Most importantly, we re-examine the future of human capital. The winners of the Three-Year Leap will not be those who try to compete with AI, but those who master the art of augmentation—leveraging Agentic systems and SLMs to become the AI-Enhanced Professionals of the new economy. The next 36 months demand radical preparedness.

©2025 Sam Zuker (P)2025 Sam Zuker
Computer Science Machine Theory & Artificial Intelligence
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