What is Knowable and What is Ahead

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Authors: Michael Gabor Kollo
Cited by: 0

Abstract

This chapter confronts the fundamental unknowability of artificial intelligence’s (AI’s) future while identifying observable trends that seem likely to continue unless dramatically disrupted. Rather than confident predictions about an uncertain future, readers discover three transformation waves already in motion: the invisible integration of AI into digital infrastructure, the shift from reactive to proactive AI systems that take initiative, and the cognitive partnership challenge of maintaining human capabilities while leveraging AI. The chapter examines how AI is becoming utility-level infrastructure that disappears into background systems, potentially reshaping commerce as AI agents handle research and comparison shopping that currently drives website traffic. Readers explore the intentionality gap that currently limits AI systems to reactive responses and how proactive capabilities might fundamentally change human-AI collaboration. The chapter addresses the complex challenge of preserving human cognitive abilities while working alongside systems that can outperform us in many intellectual domains. Through examples from education, business, and emerging robotics, readers gain frameworks for navigating uncertainty while making thoughtful decisions about AI adoption. By the end, readers will understand why the future of AI will be shaped not by technological determinism but by millions of individual choices about how to engage with these evolving capabilities.

Fields of Study & Subjects

Artificial Intelligence Applications Ethics and Social Impacts of AI Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Chapman & Hall/CRC eBooks
Pages
148–167
Publication date
14 January 2026
Language
EN
Document type
Book chapter