A Fundamental Crossroads in the Artificial Intelligence Sector: Goal or Tool?
Esti Peshin addresses the critical distinction regarding whether artificial intelligence is a final product or an internal tool that accelerates engineering and manufacturing processes.
How companies operating in technology and industrial sectors position artificial intelligence is directly determining the future of business processes. Experts point out that it is necessary to clearly distinguish whether artificial intelligence is a directly sold final product or a tool that accelerates production and engineering processes.
The Positioning of Artificial Intelligence
It is observed that companies in the technology and industrial sectors adopt two different approaches when integrating artificial intelligence technology into their business models. In this context, the question of whether artificial intelligence is treated as a final product or as an internal tool that accelerates operational processes carries great importance.
Artificial Intelligence as a Product
Companies in the first group integrate artificial intelligence directly into the product itself and offer this capability to the customer. Computer vision, medical diagnostic models, and fraud detection systems fall into this category. Such structures are built on models with behaviors that are not fully predictable.
Tool to Accelerate Processes
Companies in the second group use artificial intelligence in internal processes rather than as a directly sold product. These structures, which produce armor plates, radar components, or medical devices, deploy artificial intelligence to reduce costs and accelerate design, testing, documentation, and manufacturing phases.
Regulated Sectors
This distinction gains a much more critical character in heavily regulated sectors such as defense, aerospace, medicine, and finance. In these fields, the length of approval processes, the difficulty of certification procedures, and the essential nature of safety directly affect corporate strategies.
Investors' Approach
Investors evaluating companies in heavily regulated industries examine both artificial intelligence scenarios carefully. Questions are raised as to whether those offering artificial intelligence as a final product account for certification costs, and whether the efficiencies claimed by those using it as a tool are genuine.