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Kickass torrents shut down; alleged owner arrested
MUMBAI: Content owners the world over must be heaving a sigh of relief because of a development in Poland. Including those in India – right from Yashraj Films to Dharma Productions to Zee Entertainment to Star India to Sony Entertainment.
The reason: the alleged owner and creator of peer to peer to sharing site Kickass torrents a 30 year old Ukrainian from Kharkiv, Artem Vaulin has been under police arrest since the past couple of days. Kat.cr, which is ranked 70 in the world, according to Alexa, has been shut down since then.
Many other domains related to kickass torrents that allowed users to download content have been taken down. Among the domains that have been seized include: kat.cr,kickasstorrents.com, katstatic.com, thekat.tv, kickass.cr, kickass.to, and kat.ph. Even proxy URLs s leading to the torrenting service, which began in 2008 have been brought down by the authorities.
Everything from the latest TV shows to events like the Star Parivaar Awards to the Zee Rishtey Awards to the latest Hindi films, apart from Bollywood fare could be downloaded without payment from kickass torrents.
Vaulin has been indicted for copyright infringement in the US which, officials say, has allowed more than $1 billion worth of movies, games, music recordings and other content to be distributed for free, thus causing losses to the content owners.
There’s more trouble lying in store for the young man. US officials want him extradited to be tried for charges that include conspiracy to commit criminal copyright infringement and conspiracy to commit money laundering, according to attorneys for the US District Court for the Northern District of Illinois.
“This criminal case is a major step to reduce illegal theft of creative content by large-scale piracy sites,” MPAA chairman and CEO Chris Dodd said in a statement. “Actions like these help protect the livelihoods of the 1.9 million hard-working Americans whose jobs are supported by the motion picture and television industry – and a legal market that generates $16.3 billion in exports for the U.S. economy.”
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AI could replace half of entry-level white-collar work: Anthropic study
Hiring in AI-exposed occupations fell 14 per cent post-ChatGPT
SAN FRANCISCO: From lamplighters to elevator operators, waves of technology have repeatedly erased once-common jobs. Now artificial intelligence may be poised to do the same for large swathes of professional work.
A new study by Anthropic suggests that while AI tools are technically capable of performing many knowledge-economy tasks, real-world adoption lags far behind that potential, at least for now.
The report, Labor market impacts of AI: A new measure and early evidence, by Maxim Massenkoff and Peter McCrory, introduces a new metric called “observed exposure,” which compares what AI systems could theoretically perform with what they are actually doing in workplaces.
Using professional interaction data from Anthropic’s Claude model, the researchers found that AI could theoretically cover a wide share of tasks in business, finance, management, computing, mathematics, legal services and office administration. Yet current adoption represents only a small fraction of those capabilities.
That gap between potential and reality reflects a mix of legal barriers, technical limitations and the continued need for human oversight, the study said. But the authors suggest those constraints may prove temporary as the technology matures.
Warnings about AI’s impact on white-collar employment have been growing. CEO Dario Amodei has previously argued that AI could disrupt as much as half of entry-level professional work, while Microsoft AI CEO Mustafa Suleyman has suggested that most professional tasks could eventually be automated within 12 to 18 months.
Highly educated workers most exposed
Contrary to common assumptions, the study finds that workers most exposed to AI are not those in manual labour but highly educated professionals. The most exposed group is 16 percentage points more likely to be female, earns on average 47 per cent more than the least exposed group and is nearly four times as likely to hold a graduate degree.
Occupations including computer programmers, customer service representatives and data entry clerks are among the most vulnerable to automation.
Yet even in highly exposed fields, AI is not yet replacing jobs at scale. The researchers cite routine medical tasks, such as authorising prescription refills, as examples that AI could technically perform but is not widely observed doing in practice.
In the report’s visual framework, actual AI usage (the “red area”) remains far smaller than the theoretical “blue area” of possible tasks. Over time, the researchers expect the red area to expand as adoption deepens.
At the other end of the labour market, roughly 30 per cent of occupations show virtually no AI exposure. Roles such as cooks, mechanics, bartenders and dishwashers still depend heavily on physical presence and manual work that large language models cannot replicate.
Hiring slowdown rather than layoffs
So far the clearest labour-market signal is not mass layoffs but a slowdown in hiring within AI-exposed occupations.
According to the study, job-finding rates in those sectors have fallen about 14 per cent since the arrival of generative AI tools such as ChatGPT compared with 2022 levels. A separate study cited by the authors found a 16 per cent drop in employment among workers aged 22 to 25 in AI-exposed roles.
Recent labour data from the US Bureau of Labor Statistics also point to softer hiring conditions, with employers shedding 92,000 jobs in February and unemployment rising to 4.4 per cent.
Some companies have already linked layoffs to automation. Jack Dorsey said his payments firm Block recently cut nearly half its workforce in part because AI tools allow smaller teams to operate more efficiently.
Not everyone is convinced the technology is solely responsible. Critics such as Marc Benioff have accused some firms of “AI washing”, using automation as a convenient explanation for cost-cutting measures.
Still, the researchers warn that the longer-term risk is a potential “white-collar recession”. If unemployment in the most AI-exposed occupations were to double, from about 3 per cent to 6 per cent, it would mirror the scale of labour-market disruption seen during the Global Financial Crisis.
For now, the shift may simply mean fewer entry-level openings. Some young workers are staying longer in existing roles, switching sectors or returning to education rather than entering AI-exposed fields.
