In the AI copyright fight, there are two kinds of rights-holders: those big enough to sue, and those big enough to sign.
The New York Times, Disney and Getty are litigating. News Corp signed a licensing deal with OpenAI reported at up to $250M over five years. Reddit licenses its corpus to Google for a reported $60M a year. Content, it turns out, has a price for those with the scale to negotiate.
Too small to sue, too small to license
Below that line sits almost everyone who actually creates original work: independent publishers, individual academics, NGOs, cultural archives. Too small to sue. Too small to license individually. Ingested all the same.
The grievance isn't only about money
And the grievance isn't only about money. When Taylor & Francis licensed academic content to Microsoft for a reported $10M (and Wiley booked over $40M from AI licensing projects), the authors were neither consulted nor compensated, and could not opt out. The backlash from researchers was less about the cheque than the consent: being used without permission, mis-cited, or stripped of context.
Credibility is the asset
That matters because for researchers, NGOs and archives, credibility is the asset. The acute risk of the AI era isn't lost ad revenue. It's invisibility and mis-attribution, as AI answers quietly replace the visit to the source. A paraphrase with no name attached makes a body of work disappear in plain sight.
Machinery is emerging for the long tail
There is machinery emerging for the long tail: collective licensing initiatives (RSL Collective, TollBit, ProRata), and machine-readable rights signals that now carry legal weight under the EU's opt-out regime. All early, none proven at payout scale — but the direction is set.
First in a series
This is the first in a series on attribution, consent and the economics of original content in the AI era: what's actually settled, what isn't, and what small, mission-driven publishers can practically do about it.