Machine translation resurfaced as a viable business solution about 5 years ago, with much hype. With the amount of content requiring translation, and a mellowing of user expectations about translation quality, it seemed there was real business value in developing machine translation solutions. Since then, however, the discounts offered to enterprise customers have remained stubbornly meager in the 10-20% range, with high, up-front costs—far from the anticipated savings. This paper provides an overview of the challenges encountered in the value chain between customer and Language Service Provider (LSP) which keep translation costs high and limit machine translation adoption, discusses existing and potential solutions to these challenges, and offers suggestions on how to enlist the support of the LSP and freelance translator community to address these challenges.