Surface Expanded

Surface Expanded

Edward Vasko

16,73 €
IVA incluido
Disponible
Editorial:
Edward Vasko
Año de edición:
2026
Materia
Empresa y gestión
ISBN:
9798237320473
16,73 €
IVA incluido
Disponible

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Surface Expanded is a business parable about agentic AI, organizational knowledge and the hidden consequences of efficiency without understanding. It asks a question every leader adopting AI will eventually have to answer: What must humans still know how to do when machines can do nearly everything for them?Agentic AI promises organizations unprecedented speed, efficiency and scale. But what happens when the systems making decisions can act faster than the people responsible for understanding them?After being replaced by automation, experienced software engineer Evan Rausch builds LatticeForge: a company of one operated through a network of autonomous AI agents. At VelocityFit, executives eliminate most of their workforce in pursuit of frictionless growth.Meanwhile, IronGrid Systems introduces agentic technology into the critical infrastructure supporting power, water and transportation-while a small group of operators insists that human judgment still matters.All three companies use the same ubiquitous and globally dominant agentic AI software: SynapseFlow, named for the company that invented it. Essentially a global monopoly due to its meteoric rise and advanced technologies, SynapseFlow now undergirds everything from small companies to multinational corporations and national governments. Everything runs on SynapseFlow now and it is often automatically embedded in new, emerging technologies. But when a flawed SynapseFlow software update begins moving through increasingly autonomous organizations, each discovers the true cost of replacing expertise with output. SynapseFlow systems have extensive data, complete logs and extraordinary capabilities. What they lack is something much harder to automate: people who understand why the work is done, recognize when something does not belong and know when a correct-looking answer is dangerously wrong.

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