This Is How We Get Moral A.I. Companies; The New York Times, April 26, 2026

 Paul Ford, The New York Times; This Is How We Get Moral A.I. Companies

"Artificial intelligence can be wondrous, but the technology underneath is more than a little monstrous. It eats up all the words in the world, from blogs to books, often without permission. It burns whole forests’ worth of energy, digesting that raw material into its models, and gulps billions of gallons of water to cool down. These are the same qualities we perceive in Godzilla, but distributed. Is it any wonder that the Japanese word “kaiju,” or strange beast, has “AI” smack in the middle?...

The entire culture of American technology is built around two terms: disruption and, of course, scale. But ethics are constraints on disruption and scale. Truly ethics-bound organizations — the U.S. justice system, the American Medical Association, the Catholic priesthood — have hard scaling limits. Their rules run deep, and their requirements to serve are so onerous that only a few people can do the job. Punishments for transgressors include losing their licenses, being defrocked and being disbarred. Software industry people might have good degrees and are often good people, but they are making it up as they go along. They take no oath, are inconsistently certified and can only be fired, not exiled from the trade."

‘Clock Is Ticking’ For Creators On AI Content Copyright Claims, Experts Warn; Forbes, January 9, 2026

 Rob Salkowitz, , Forbes; ‘Clock Is Ticking’ For Creators On AI Content Copyright Claims, Experts Warn

"Despite this string of successes, creators like BT caution that content owners need to move quickly to secure any kind of terms. “A lot of artists have their heads in the sand with respect to AI,” he said. “The fact is, if they don’t come to some kind of agreement, they may end up with nothing.”

The concern is that AI models are increasingly being trained on synthetic data: that is, on the output of AI systems, rather than on content attributable to any individual creator or rights owner. Gartner estimates that 75% of AI training data in 2026 will be synthetic. That number could hit 100% by 2030. Once the tech companies no longer need human-produced content, they will stop paying for it.

“The quality of outputs from AI systems has been improving dramatically, which means that it is possible to train on synthetic data without risking model collapse,” said Dr. Daniela Braga, founder and CEO of the data training firm Defined.ai, in a separate interview at CES. “The window is definitely closing for individual rights owners to secure favorable terms.”

Other experts suggest that these claims may be overstated.

Braga says the best way creators can protect themselves is to do business with ethical companies willing to provide compensation for high-quality human-produced content and represent the superior value of that content to their customers. As models grow in capabilities, the need will shift from sheer volume of data to data that is appropriately tagged and annotated to fit easily into specific use cases.

There remain some profound questions around the sustainability of AI from a business standpoint, with demand for services among enterprise and consumers lagging the massive, and massively expensive, build-out of capacity. For some artists opposed to generative AI in its entirety, there may be the temptation to wait it out until the bubble bursts. After all, these artists created their work to be enjoyed by humans, not to be consumed in bulk by machines threatening their livelihoods. In light of those objections, the prospect of a meager payout might seem unappealing."