Leadership1 publisher3 min readPublished
USA Today's Palantir deal became a labor dispute because investors heard about it first
Chair Mike Reed disclosed an audience-data partnership on an August 6 earnings call. Within days, more than 800 NewsGuild-CWA members demanded the company end it.
The Board Room · Leadership desk
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What happened
- On an August 6 earnings call, USA Today Co. chair Mike Reed told investors the company is working with AI and analytics firm Palantir to build a common intelligence layer on top of its audience data, aimed at driving faster monetization across subscriptions, advertising and commerce.
- The journalists who work at the company found out about the Palantir arrangement the same way investors did.
- Within days of the earnings call, more than 800 unionized journalists and media workers represented by the NewsGuild-CWA demanded the company end the deal immediately.
- The dispute moved from investor disclosure to public union demand within about nine days.
- First-party data is the behavioral record a publisher collects directly as readers move through its sites: every article opened, time spent, clicks, and which subscription offers are ignored or accepted; it is called first-party because the publisher gathers it rather than buying it from a broker.
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Why it matters
On an August 6 earnings call, USA Today Co. chair Mike Reed told investors the company is working with Palantir to build a common intelligence layer on top of its audience data, aimed at faster monetization across subscriptions, advertising and commerce, per a Yahoo account cited by Forbes [1]. The journalists who produce that audience found out the same way investors did [2], and within days more than 800 unionized journalists and media workers represented by the NewsGuild-CWA demanded the company end the deal immediately, according to Common Dreams as cited by Forbes [3].
That sequence is the whole story. A revenue project that would have been a vendor selection in any other quarter is now a bargaining-table item, and the escalation took roughly nine days from disclosure to public revolt [4].
The asset in question is first-party data: the behavioral record a publisher collects directly as readers move through its sites, including what they open, how long they stay, what they click, and which subscription offers they refuse or accept [5]. USA Today Co. operates more than 200 news outlets, so those signals aggregate into behavioral profiles at national scale [6]. Palantir was retained to unify that view and predict what each reader does next [7].
The guild's objection, according to the Forbes account, is not the analytics [8]. It is the counterparty. Palantir holds a thirty million dollar contract with Immigration and Customs Enforcement [9], and its software has powered surveillance and immigration operations that USA Today newsrooms cover as a core beat [10]. The union argues that partnering with a major subject of its own coverage creates an inherent conflict of interest and raises concerns about the data security of readers [11]. Guild members also note that journalists have been assaulted and arrested while covering immigration enforcement, which makes the choice of vendor personal rather than procedural [12].
None of this makes USA Today Co. an outlier on the technology. Palantir has struck similar deals with Axel Springer and Thomson Reuters [13], the company says it complies with applicable privacy laws and holds vendors to the same standard [14], and nearly every major publisher already runs predictive AI-driven analytics on its audience [15]. What separates this one, in the Forbes framing, is that readers learned their behavior was being modeled by a contractor from an earnings call rather than a privacy notice, and the employees closest to those readers were not told beforehand [16].
The technical mitigations are not exotic. Forbes notes that differential privacy, federated learning, on-device modeling and synthetic data all allow a publisher to predict reader behavior without assembling identifiable profiles in a central warehouse, and argues that what is missing is any public signal that such methods are in use here [17]. The column's operator lessons are equally unglamorous: disclose before the earnings call, vet the partner's whole business rather than the licensed product, inventory what you actually collect, and give customers a working exit [18].
Watch whether management issues a reader-facing description of what the partnership touches, since the absence of one is the gap Forbes identifies [17]. Watch whether the guild's demand moves into formal bargaining, given that more than 800 represented workers have already signed on [3]. And watch Axel Springer and Thomson Reuters for the same internal question, since they bought from the same vendor [13].