TLDRs; Adobe stock rose 1.9% even as authors sue over alleged AI training copyright misuse. The lawsuit claims SlimLM models were trained using unauthorized copiesTLDRs; Adobe stock rose 1.9% even as authors sue over alleged AI training copyright misuse. The lawsuit claims SlimLM models were trained using unauthorized copies

Adobe (ADBE) Stock: Gains 1.9% Despite Proposed Class Action Over AI Training

2025/12/18 15:18
3 min read
For feedback or concerns regarding this content, please contact us at [email protected]

TLDRs;

  • Adobe stock rose 1.9% even as authors sue over alleged AI training copyright misuse.
  • The lawsuit claims SlimLM models were trained using unauthorized copies of copyrighted books.
  • Using open-source datasets with copyrighted works exposes AI companies to legal and financial risk.
  • Licensed dataset vendors and provenance tools could see rising demand amid AI copyright concerns.

Adobe Inc. (NASDAQ: ADBE) saw its stock rise by nearly 1.9% on Wednesday, even as the company faces a proposed class action lawsuit in the United States over alleged misuse of copyrighted works in AI training.


ADBE Stock Card
Adobe Inc., ADBE

The legal action, filed in California federal court on December 17, 2025, highlights growing scrutiny over how tech companies source and use content for artificial intelligence development.

Authors Challenge AI Training Practices

The lawsuit was initiated by author Elizabeth Lyon, who claims that Adobe used unauthorized copies of her instructional books, along with works from other authors, to train its SlimLM small language models.

These AI models are designed to assist with document-related tasks on mobile devices. Lyon is seeking unspecified monetary damages on behalf of herself and other affected authors.

While this is the first case directly targeting Adobe, it comes amid a wave of similar lawsuits against major tech firms, including OpenAI and Anthropic, over alleged copyright violations during AI model training. These cases collectively raise questions about legal accountability in the rapidly evolving AI landscape.

Data Lineage Under Scrutiny

Adobe’s SlimLM model was trained using the SlimPajama-627B dataset, which is reportedly derived from RedPajama, an open-source dataset that includes Books3, a collection of approximately 191,000 titles that has been subject to prior copyright disputes.

Despite Adobe’s assurances that it primarily relies on licensed, public-domain, and Adobe Stock content for its AI models, the use of datasets containing potentially unauthorized works exposes the company to legal risk.The lawsuit underscores a broader issue for AI developers: using so-called “open-source” datasets can inadvertently introduce copyrighted material, raising liability questions.

Courts will now have to determine how responsibility should be assigned along the data supply chain, particularly whether downstream companies that train AI models on third-party datasets can be held accountable for unauthorized works included by the original compilers.

Market Reaction and Investment Implications

Despite the legal headwinds, Adobe’s stock gained on the day, suggesting investor confidence in the company’s long-term growth prospects. Analysts note that while the lawsuit could lead to potential financial liability, Adobe’s extensive portfolio of creative and enterprise software products continues to perform strongly.

The case also points to a growing market opportunity for vendors that provide fully licensed datasets or tools to track data provenance. Companies like SyndiGate, which offer datasets cleared for AI training, could benefit from heightened demand as enterprise AI teams seek to mitigate copyright risks.

Investors may also monitor providers of compliance and licensing verification tools, as businesses look to ensure their AI models are built on legally sound content.

Looking Ahead: Legal and Industry Implications

As AI adoption expands across industries, legal frameworks are struggling to keep pace. This lawsuit against Adobe may set an important precedent for how courts assign liability in AI training and could influence how companies source data moving forward.

Enterprises may increasingly prioritize datasets with clear licensing, and publishers could continue negotiating rights agreements with AI developers, shaping the economics of the AI content ecosystem.

The post Adobe (ADBE) Stock: Gains 1.9% Despite Proposed Class Action Over AI Training appeared first on CoinCentral.

Market Opportunity
null Logo
null Price(null)
--
----
USD
null (null) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.
Tags:

You May Also Like

Cryptos Signal Divergence Ahead of Fed Rate Decision

Cryptos Signal Divergence Ahead of Fed Rate Decision

The post Cryptos Signal Divergence Ahead of Fed Rate Decision appeared on BitcoinEthereumNews.com. Crypto assets send conflicting signals ahead of the Federal Reserve’s September rate decision. On-chain data reveals a clear decrease in Bitcoin and Ethereum flowing into centralized exchanges, but a sharp increase in altcoin inflows. The findings come from a Tuesday report by CryptoQuant, an on-chain data platform. The firm’s data shows a stark divergence in coin volume, which has been observed in movements onto centralized exchanges over the past few weeks. Bitcoin and Ethereum Inflows Drop to Multi-Month Lows Sponsored Sponsored Bitcoin has seen a dramatic drop in exchange inflows, with the 7-day moving average plummeting to 25,000 BTC, its lowest level in over a year. The average deposit per transaction has fallen to 0.57 BTC as of September. This suggests that smaller retail investors, rather than large-scale whales, are responsible for the recent cash-outs. Ethereum is showing a similar trend, with its daily exchange inflows decreasing to a two-month low. CryptoQuant reported that the 7-day moving average for ETH deposits on exchanges is around 783,000 ETH, the lowest in two months. Other Altcoins See Renewed Selling Pressure In contrast, other altcoin deposit activity on exchanges has surged. The number of altcoin deposit transactions on centralized exchanges was quite steady in May and June of this year, maintaining a 7-day moving average of about 20,000 to 30,000. Recently, however, that figure has jumped to 55,000 transactions. Altcoins: Exchange Inflow Transaction Count. Source: CryptoQuant CryptoQuant projects that altcoins, given their increased inflow activity, could face relatively higher selling pressure compared to BTC and ETH. Meanwhile, the balance of stablecoins on exchanges—a key indicator of potential buying pressure—has increased significantly. The report notes that the exchange USDT balance, around $273 million in April, grew to $379 million by August 31, marking a new yearly high. CryptoQuant interprets this surge as a reflection of…
Share
BitcoinEthereumNews2025/09/18 01:01
US Dollar weakens, stocks rise on Iran peace hopes

US Dollar weakens, stocks rise on Iran peace hopes

The post US Dollar weakens, stocks rise on Iran peace hopes appeared on BitcoinEthereumNews.com. Here is what you need to know for Wednesday, April 1: The US Dollar
Share
BitcoinEthereumNews2026/04/01 04:27
Sei Price Prediction 2026-2030: Can the Revolutionary Giga Upgrade Spark a Bullish Surge?

Sei Price Prediction 2026-2030: Can the Revolutionary Giga Upgrade Spark a Bullish Surge?

BitcoinWorld Sei Price Prediction 2026-2030: Can the Revolutionary Giga Upgrade Spark a Bullish Surge? As blockchain technology evolves at a rapid pace, the Sei
Share
bitcoinworld2026/04/01 03:40