The agreement and the technologies adopted
Posco Future M, a battery materials manufacturer, has signed an agreement with U.S. software company Palantir Technologies to accelerate its AI-driven transformation. The Korea Herald reports this, specifying that the deal includes adoption of the Foundry data analytics platform and the Artificial Intelligence Platform (AIP). Foundry is tasked with integrating data from the company's various operations, while AIP combines enterprise data with generative AI to support decision-making and automation.
The agreement does not arise in isolation: it builds on the digital transformation strategy presented by the company in July and on an AI innovation initiative rolled out across the entire organization in August. The new element is therefore the entry of a specialized external provider, with ready-to-use platforms, into a path the company had already begun internally.
Starting with sales and marketing, then production
The first phase of application concerns sales and marketing, with the stated goal of improving responsiveness to customers and coordination between functions. Only later does the company consider a gradual expansion to manufacturing activities and other operational areas. The choice to start with commercial functions suggests a cautious approach, testing the platforms on less critical processes than production before extending them.
The mechanism indicated is the integration of currently fragmented data and the embedding of AI into workflows, to speed up decisions and automate repetitive processes. According to the source's account, this should free employees from routine tasks, leaving them with supervision and final decisions.
Stated objectives and rollout timeline
Posco Future M cites specific targets: an improvement of more than 60 percent in customer responsiveness, a 30 percent increase in manufacturing productivity, and a 50 percent reduction in product development times. These are announced corporate objectives, not results already achieved: the material does not document independent measurements or specific deadlines for each indicator.
On the organizational front, the company is expanding employee training in AI and is testing applications developed by staff for internal use. The plan calls for selective release of projects in successive phases by the first half of 2027, while 87 employees who have completed specialized training are working to identify inefficiencies and develop AI-based solutions. In the long term, the company intends to build a data-driven platform connecting production, sales, and supply chain partners.
What remains to be verified
The picture offered by the source is that of a strategic announcement with quantified objectives, but without details on investments, license costs, or criteria for measuring results. It does not indicate how many resources are dedicated to the project or how effects on performance will be evaluated. The distinction between stated intentions and actual impacts therefore remains open and will need to be verified with subsequent data.
A second element to clarify concerns the actual scope of the manufacturing phase: the material speaks of a gradual expansion to be assessed, without confirming timelines or areas. Similarly, the supply chain platform is described as a long-term project, without deadlines. The value of the operation will depend on the ability to translate the percentage objectives into measurable results by 2027.
