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‘AI has killed the industry’: EasyTranslate boss on adapting to change

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The launch of generative AI products over the past nine months has the world talking about how it will change the future. Many are frightened. Others are excited about the opportunity.

A report last month from Next Move Strategy Consulting predicts the AI industry will grow 20x in the next seven years, creating a $2 trillion business, up from its current value of $100 billion. It might sound like wild hype, but other analysts from McKinsey, Morgan Stanley and BlackRock all map out a similar trajectory. AI is here to stay, and a lot of human lives will be upended. But it’s also the chance of a lifetime.

Frederik Pedersen, the co-founder of Danish AI company EasyTranslate and son of one of Denmark’s most famous men, is approaching the future head-on.

“I have been saying for a long time that translation is dead and AI has killed the industry as we know it, but that hasn’t gone down particularly well with my competitors. Now, however, those same people are listening and are realising that they may be too late if they want to transform their business.”

Son of Danish politician Klaus Riskær Pedersen

It’s not easy to be the child of a powerful person, as has been recently and brilliantly illustrated by the TV series Succession. If there’s a Logan Roy in the family, it’s difficult for the child to be their own person.

Some crash and burn; some, such as singers Justin Bieber and Miley Cyrus, try to shock their parents by being outlandish and independent. It’s rarely a good look.

Others, however, do it in smarter ways and emerge from that parental shadow by adopting different mechanisms to build their own reputation. 

In the case of Pederson, now 35, it was technology that enabled him to do so. First, with translation software, and now, generative AI has overtaken it.

Frederik Pederson knows how to pivot
Pederson knows how to pivot. (Supplied)

His dad, Klaus Riskær Pedersen, is a controversial Danish political party leader, entrepreneur, businessman and author. Everybody in Denmark knows his name.

His chequered career includes being a member of the European Parliament for the Liberal Party, writing books, developing, building and selling around 15 companies over three decades. He set up his own political party in 2018.

But there have been controversies. He has several convictions for fraud and has spent different spells in jail, as well as splitting Danish public opinion and having the social life that goes with such apparent conviviality. 

At first, (Frederik) Pedersen suffered. In and out of schools, he tried to find a way of acceptance and struggled. He didn’t make it to university, but he did know about technology and became interested in its power and consequently found a way to plow his own furrow.

“It took me some time to find a direction, but slowly I realized that the world was all about communication. I knew I was from a privileged family, but educators always seemed to have a lack of empathy and communication when I was a child. I was made to feel different, and it was a difficult place to be.

“But I came through it, and those life lessons set me up for all the changes that life throws at you. So I set up a translation company, and now I’m pivoting the company into generative AI because of the huge opportunity it offers humanity, not least the same elements of communication,” says Pedersen.

Early access to OpenAI’s ChatGPT

The AI light started to dawn on him back in 2020.

That year, Pedersen applied to the Danish Innovation Fund for a 65,000 euro grant to create a content generator engine that would enable him to create a new form of translation:

“I realized that the biggest issue in e-commerce when it came to languages was not translation in itself, but creating localized content for retailers’ different products that customers could relate to,” he explains, adding the company spent the money to train “neural networks to create these product descriptions.”

Also read: AI Eye — Real uses for AI in crypto, Google’s GPT-4 rival, AI edge for bad employees

A neural network is a type of machine learning process called deep learning that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

“We branded it content-as-a-service and couldn’t believe we were one of the first companies to do it,” he says, though it ended up proving the old adage that being early is the same as being wrong.

“Ultimately we were ahead of the technology and while our technology could build sentences, it just wasn’t good enough for our customers.”

This first effort was not wasted time and money, however, as it meant the company was able to hit the ground running when large language models were released publicly. EasyTranslate obtained early access to ChatGPT because it already had an account with OpenAI and was able to adopt and execute the technology instantly.

From that point, EasyTranslate pivoted to a generative AI content future based on Pedersen’s thesis that traditional translation was indeed “dead.”

Translation meets technology

It was not the first change in direction for Pedersen’s company. Formed in 2010 without venture capital, the translation service grew quickly.

In 2016, it went after bigger fish and started offering interpretation services to the Danish government after realizing there was an opportunity with the launch of Apple’s FaceTime. According to Pedersen, interpreters were super-expensive, inefficient and slow, and travel for in-person events wasn’t exactly “climate change-friendly.” 

Pedersen created a video interpretation app that streamlined costs and increased efficiency by offering a marketplace and matching service for interpreters as well as remote interpreter services. 

Danish municipalities signed up for the service, including the Danish Ministry of Justice, recognizing that bringing an interpreter to a court was a very expensive business, especially due to the often last-minute nature of such needs.

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Danish operation a success, but the patient died

At its height, the company was running 1,000 interpretation meetings a day, and between 2017 and 2019, it was responsible for more than 70% of the Danish government’s interpretation business.

However, Pedersen says the Danish government had never outsourced such business, and the relationship turned sour.

Pedersen believes that AI and humans can work together in harmony
Pedersen believes that AI and humans can work together in harmony. (Supplied)

“It was a very mutual and fruitful relationship for a long time, but we realized that working with governments was more difficult than we imagined. It was like the cliche of a heavy tanker not being able to turn around.

“Again, it was the first learning curve for me. Yes, our data processing wasn’t as good as it could have been and working with antiquated systems and reasoning was very difficult.

“Eventually, the Danish government decided they didn’t want to carry on with our relationship. It was hard at the time, but I still believe we succeeded, and we learned a lot,” he says. 

“Let’s just say, the operation was a success, but the patient died. There was also a lot of opposition from the strong Danish trade unions who thought we were putting people out of jobs.”

“But it was not about putting people out of jobs, it was working with technology in the same way we work with AI now. Our interpreters who decided to join our community were extremely happy with our software. They said it was like having a PA that coordinated their calendar and ensured them productive days with the highest possible earnings — they managed to increase those earnings.”

Impact of AI on jobs

The impact of AI technology on employment is a source of great anxiety for many, with some predicting entire industries will be wiped out, while others suggest jobs will change and evolve rather than disappear.

A recent study by the International Labour Organization found that women will be disproportionately affected by automation, with around 7.8% of jobs held by women in high-income countries (or 21 million) likely to be automated, but only 2.9% of jobs held by men (9 million).

Translation is a highly gendered industry too, with women accounting for around 67% of translators.

Pedersen’s thinking about the essential human element in technology — be that content generation or generative AI — is now central to EasyTranslate’s business.

Also read: AI Eye — Get better results being nice to ChatGPT, AI fake child porn debate, Amazon’s AI reviews

He believes that the combination of humans and AI is more powerful than just letting the AI do everything, using the example of a hard-working high school student who was angry at classmates for using AI to cheat.

Instead of cheating herself, she asked ChapGPT to mark her already-written essay. It sorted out the grammar and typos, and it gave her extra resources and links to improve her work beyond that of the cheater.

“In business, everybody is looking for the magic of balance in the marketplace, that sweet spot where pricing, innovation and technology are aligned. We are also doing that when it comes to AI and humans; we want that magic balance there as well,” he says.

Humans still required in the loop

He cites “humans in the loop” as the way forward for humans and machines. Generative AI can do the heavy lifting, and humans can finish and finesse the job. It creates content in any language generated by AI but enhanced by humans.

“There are others in business, such as Reuters, who also profess the ‘humans in the loop’ phrase. Again, I’ve been saying for a long time that this is the way forward to make both technology and humans better.

“By harnessing the power of both and increasing machine learning in the process, I believe that the current dominance of LLMs will be replaced by small language models that can be tailored exactly for the customer — open source generative AI — that will be the future.”

“That’s what we’re planning for and how the whole AI sector will play out. Those companies that are prepared for that will prosper; those who aren’t will fail,” he says.

Since Pedersen’s pivot to AI at the end of 2022, there has been increased investor interest in EasyTranslate, and the company raised 2.75 million euros earlier this year

“We think that we’ve been ahead of our time, and that thinking has led us to embrace AI and take us to the next level. AI itself is just the mirror of what humanity has already created; AI is really the technological history of human knowledge.

“I think it’s obvious that the two are perfectly compatible, that magic balance, so as generative AI evolves, so will those humans in the loop. Nobody with a good and adaptive brain will lose their job; their jobs and roles will be better and more creative,” he concludes.

His father should be proud.

Monty Mumford

Monty Munford

Monty Munford writes regularly for the BBC, The Economist and City AM and has been a tech columnist for Forbes and The Telegraph. He also runs a growth and visibility consultancy and has appeared at more than 200 events and conferences, interviewing figures such as Tim Draper, the late John McAfee, Sir Tim Berners-Lee, Steve Wozniak, Kim Kardashian, Guns N’ Roses and many others.

Cryptocurrency

Unsuspecting Elderly Widow Loses $281K in a Romance Scam: The Dark Side of Crypto

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In an effort to curb the misuse of cryptocurrency ATMs, Australian authorities have identified 90 individuals, many of them scam victims or unwitting money mules, following a months-long investigation led by AUSTRAC’s cryptocurrency taskforce.

The operation was conducted in collaboration with federal and state law enforcement agencies and marks a significant step in understanding how crypto ATMs are being co-opted to facilitate fraud and the laundering of illicit funds.

Widow Scammed Out of $281K in Crypto ATM Scam

According to the official press release, the investigation targeted users with unusually high volumes of transactions, drawing from ATM data across all Australian states. Analysts found that many of the top users were not orchestrating criminal schemes, but rather had been manipulated into them.

In a particularly distressing case, a woman in her 70s lost over $281,000 after falling prey to romance and investment scams, and repeatedly deposited cash into crypto ATMs under false promises. Another victim, also a woman in her 70s, was conned out of more than $130,000 after engaging with what she believed was a legitimate investment platform.

AUSTRAC CEO Brendan Thomas said the findings were more alarming than expected. He added:

“It’s hard to hear these stories, but now we have a better picture of the harms being perpetrated through crypto ATMs, we are better placed to take action, including working with the industry to harden the sector against criminal misuse.”

In response, AUSTRAC recently introduced minimum operational standards for crypto ATM providers. This includes a $5,000 limit on cash transactions, mandatory scam alerts, and improved customer verification and transaction monitoring protocols. These regulatory changes aim to tackle the exploitation of the machines by fraudsters and reduce opportunities for laundering proceeds from criminal activity.

The operation was coordinated by NSW Police and supported by the Australia-New Zealand Crypto Practitioners Working Group (ANZCPWG). Meanwhile, the Australian Federal Police’s cybercrime coordination unit (JPC3) is also launching a national awareness campaign to educate the public about the risks of using crypto ATMs under coercion or misleading advice.

Older Australians Most Affected by Crypto Scams

Crypto scams in Australia have been increasing at a disturbing rate. More precisely, crypto ATMs, which are now more than 1,600 nationwide, are increasingly being misused by fraudsters who target vulnerable citizens.

Over $3 million was lost to cryptocurrency ATM scams in the country between January 2024 and January 2025. Experts are warning that the real figure could be far higher. According to a report cited by the Australian Federal Police (AFP), 150 scam cases were reported, mostly involving investment fraud, extortion, and romance scams, with victims losing over $20,000 on average. Nearly half of those affected were aged over 51.

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30% Surge for Dogecoin? Here’s What Needs to Happen (Analyst)

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TL;DR

  • The meme coin mania seems to have faded despite a few brief moments of hope, and the niche’s leader has failed to recapture its momentum and investors’ attention.
  • However, there’s a chance for a massive double-digit surge, but only under certain conditions, according to popular crypto analyst Ali Martinez.

To embark on its 30% journey north, the largest meme coin by market cap first needs to reclaim the $0.17 resistance. This doesn’t sound like such a major hurdle, given its current price tag of $0.164.

The second part of the equation involves the TD Sequential, which is a metric often used to determine the underlying asset’s market exhaustion in either direction.

The indicator has presented a buy signal on DOGE’s 3-Day chart. Consequently, Martinez concluded that both of these factors could result in a price pump to $0.21.

This would be a breath of fresh air for Dogecoin, which has struggled quite a lot since early 2025. In the past month alone, its price has tumbled by over 21%.

Despite this rather unfavorable market movement lately, some industry participants have remained highly bullish on DOGE’s future price trajectory. JAVON MARKS, known for his bullish statements on several crypto assets, believes the OG meme coin still has a chance to post a mind-blowing surge that can take it to the stratosphere, based on historic performance.

Such a price tag sounds just a bit far-fetched at the moment. History is no indication for future price movements, and $20 per DOGE would mean a whopping market cap of roughly $3 trillion, which would make it a lot bigger than BTC.

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Ripple’s Legal Fight Nears End: Is the $10K XRP Dream Possible?

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Ripple has just announced that it will drop its cross-appeal against the SEC, signaling the end of a years-long legal siege.

CEO Brad Garlinghouse declared: “We’re closing this chapter once and for all.” With the SEC expected to reciprocate, XRP surged by 5% at one point to $2.2.

But beneath the modest green candle lies a tidal wave of speculation. The question everyone’s whispering, tweeting, and meme-posting about: Could XRP really hit $10,000?

The $10K Obsession

There have been more modest predictions, such as those of social media personality Jake Gagain, who recently calculated that a 50x surge, as touted by Carl Moon, would catapult XRP to $106.50.

Influencers like Lucy Bear have called such projections “conservative,” with Casi Trades boldly stating:

“If you think XRP can’t reach double digits, you don’t understand crypto!”

What about the $10,000 promised land? If the XRP Army is to be believed, this number isn’t plucked from some random crypto casino. Apparently, it traces back to elusive Ripple co-founder and XRPL architect Arthur Britto, who is said to have envisioned a future where XRP would serve as the global liquidity backbone for all payments.

According to enthusiasts, Britto believed that for XRP to fulfil its destiny, it would need to hit a staggering $10,000 per token. And while many have scoffed at such moonshot valuations, diehards seem to be doubling down.

In a recent episode of The Rollup podcast, former NEAR engineer Altan Tutar described the XRP fraternity’s $10,000 conviction as almost religious, saying, “I’ve never seen anything like this in any other community.”

While not directly adding his name to the believers’ list, Tutar acknowledged the rationale behind the conviction, comparing XRP’s potential rise to Bitcoin’s own journey to an all-time high price of $111,814.

“If Bitcoin went to $100K, then why not XRP to $10,000?” he asked.

But Here’s the Reality Check

A $10,000 XRP price implies a market cap of $590 trillion, dwarfing the entire global economy. Even Gagain’s $106 price means a $6.28 trillion valuation, more than double Bitcoin’s peak market cap.

It’s probably why Rollup host Andy bluntly dismissed $10,000 as pure fantasy, stating, “XRP is not going to $10,000… $10 is already a stretch.”

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