At a recent customer event, Palantir CEO Alex Karp argued that companies relying directly on large language model providers are increasingly finding themselves paying more while struggling to understand the value they are receiving. The comments, as reported by The Information, come as a growing number of large enterprises publicly discuss concerns about AI spending and usage costs.<\/p>\n
AI\u2019s New Cost Problem<\/p>\n
For much of the past two years, the AI conversation centered on capability. Bigger models, better reasoning and more powerful coding assistants drove rapid adoption across corporate America.<\/p>\n
Now, attention is shifting toward cost control.<\/p>\n
The issue gained attention after Uber\u2019s CTO said earlier this year that the company burned through its full-year AI budget within the first few months of 2026 as usage surged.<\/p>\n
In response, some enterprises are reportedly turning to model-routing systems and usage limits to reduce spending without abandoning AI altogether.<\/p>\n
Palantir\u2019s Pitch<\/p>\n
Palantir believes that shift plays directly into its hands.<\/p>\n
Rather than asking customers to commit to a single AI provider, the company has spent years building software that allows organizations to deploy applications across multiple models while tracking performance and costs.<\/p>\n
Karp\u2019s argument is straightforward: enterprises should focus less on buying access to the most advanced model and more on understanding how AI is being used, what it costs and whether it is generating measurable value. \u201cYou\u2019ll go to a large language model company and learn that they don\u2019t care about you at all,\u201d Karp said at the event.<\/p>\n
Palantir\u2019s commercial chief Ted Mabrey reportedly said customer concern around token-based AI spending has seen an \u201cexplosion\u201d over the past six weeks.<\/p>\n
The company\u2019s Forward Deployed Engineers, or FDEs, work directly with customers to build customized AI applications while helping them monitor spending across different models from providers including Anthropic and OpenAI.<\/p>\n
The Next AI Battle<\/p>\n
The debate highlights what could become the next major battleground in enterprise AI.<\/p>\n
Anthropic\u2019s growth remains extraordinary. The company, founded in 2021, is reportedly projecting roughly $11 billion in revenue for the current quarter alone. By comparison, Palantir has projected approximately $7.7 billion in revenue for the full year, despite expecting around 70% growth.<\/p>\n
But Palantir is betting that the long-term winners in AI may not be the companies building the models. Instead, they could be the firms helping enterprises manage those models, control costs and avoid becoming dependent on a single vendor.<\/p>\n
If AI\u2019s first phase was about access to powerful models, the next phase may be about making sure those models don\u2019t break the budget. Palantir appears determined to position itself at the center of that conversation.<\/p>\n
Image via Shutterstock<\/p>\n","protected":false},"excerpt":{"rendered":"At a recent customer event, Palantir CEO Alex Karp argued that companies relying directly on large language model…\n","protected":false},"author":2,"featured_media":68978,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[53,14945,5896,7911,5892,5891,15273,17956,31662,29307,444,38463,7707,7779,20021,7914,8948,8114],"class_list":["post-68977","post","type-post","status-publish","format-standard","has-post-thumbnail","category-anthropic","tag-anthropic","tag-category-long-ideas","tag-category-tech","tag-category-trading-ideas","tag-cms-wordpress","tag-pageisbzpro-bz","tag-symbol-now","tag-symbol-pltr","tag-symbol-snow","tag-symbol-uber","tag-tag-ai","tag-tag-alex-karp","tag-tag-anthropic","tag-tag-artificial-intelligence","tag-tag-claude","tag-tag-expert-ideas","tag-tag-open-ai","tag-tag-stories-that-matter"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/68977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=68977"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/68977\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/68978"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=68977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=68977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=68977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}