Richmond, VA, March 02, 2026 –(PR.com)– As large language models and multimodal systems continue to expand their capabilities—writing code, drafting legal briefs, generating scientific hypotheses, and passing professional exams—a new book challenges a foundational assumption underlying the AI boom: that sufficiently advanced intelligence will eventually produce consciousness.
In “More Than Machines: Why Consciousness — Not Artificial Intelligence — Will Shape Humanity’s Future,” award-winning author Stephen Hawley Martin examines the distinction between computation and subjective experience, arguing that current AI architectures—however sophisticated—operate through statistical pattern prediction rather than awareness.
“Modern AI systems are extraordinary engines of inference,” Martin writes. “But there is no evidence that scaling predictive processing produces inner experience. The ability to generate language is not the same as the ability to feel.”
His book explores:
• How large language models function through probabilistic token prediction
• Why simulation of reasoning does not imply subjective awareness
• The philosophical ‘hard problem’ of consciousness
• Competing neuroscientific and physicalist accounts of mind
• Whether consciousness could be fundamental rather than emergent
Rather than arguing that machines cannot outperform humans, “More Than Machines” contends that performance and experience are categorically different phenomena.
The book also addresses a growing tension in the industry: AI capability is accelerating faster than ethical frameworks and governance structures can adapt. Martin describes this as “moral lag”—a widening gap between technological power and moral development.
“If intelligence is reducible to computation,” Martin writes, “then human uniqueness is temporary. But if consciousness is something more than information processing, then the AI era forces a reassessment not just of machines—but of ourselves.”
“More Than Machines” positions the debate about artificial general intelligence within a broader philosophical context, inviting technologists, policymakers, and researchers to engage a question that remains unresolved: What, exactly, would it take for a system not merely to calculate—but to experience?
The book is available from Amazon in Kindle ebook, paperback, audio book, and casebound hardcover formats. Book stores and chains can order the book from Ingram by citing ISBN 979-8-29565862-4.
