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AI Crypto Coins Rally as Sector Surpasses $34B Valuation in Fresh Market Upswing

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James G.

Following a drop towards the end of July, the crypto market witnessed a fresh injection of optimism over the past week. Artificial intelligence (AI) assets also leveraged this market wave, with many experiencing a strong northward push, as the sector crossed $34 billion in valuation.

A metallic robotic hand grips a stack of glowing gold Bitcoin coins beneath a bright orange “34B” with electric arcs, set against a dark circuit board background.

In Brief

  • The AI crypto sector jumps over 5%, crossing $34B in valuation on strong market momentum.
  • Bittensor (TAO) leads with a 15% WTD gain, fueled by $16M in institutional accumulation.
  • NEAR, ICP, RNDR, and others post double-digit rallies, signaling strong AI market confidence.
  • AIOZ, ATH, and TURBO shine with 20–30% gains, reflecting rising AI-focused crypto adoption.

Top AI Coins Soar with Strong Market Outings

On August 9, the crypto AI sector, which is made up of digital assets that blend blockchain with artificial intelligence, posted an over 5% rally. At its core, AI coins function as the native token powering AI-based protocols. Basically, these coins serve several purposes, including ecosystem rewards and acting as the digital currency of decentralized AI marketplaces.

Week-to-date (WTD), the top 15 crypto AI coins by market cap posted green outings, with most of them cruising in the current intraday market. Bittensor (TAO) maintained its position at the summit of the crypto AI sector, climbing over 15% in the past seven days to trade at $387.

TAO’s upward movement is largely driven by the recent growth in institutional accumulation. In the past month, corporate xTAO and TAO asset holders have added over $16 million worth of assets to their coffers.

Standing second in the AI sector ranking, NEAR Protocol (NEAR) grew by over 18% in the past week, pushing its price to $2.79 at the time of writing. Internet Computer (ICP) and Render (RNDR) followed behind with 14.23% and 16.18% weekly gains, respectively.

Here are the other AI crypto coins that make up the top ten, according to CoinMarketCap data:

  • Story (IP): Currently exchanging hands at $6.42, up 10.79% this week.
  • Filecoin (FIL): Hovering around $2.63 following a 15.69% weekly surge.
  • Artificial Superintelligence Alliance (FET): Priced at $0.71 after a 16.24% climb in the past week.
  • Injective (INJ): Pegged at $14.65, driven by a 20.13% jump this week.
  • The Graph (GRT): Changing hands at $0.099, up 13.45% WTD.
  • Virtuals Protocol (VIRTUAL): Rallied by 20.95% on its 7-day chart, hitting $1.41.

In eleventh place is Theta Network (THETA), which posted an 18.85% WTD surge. This green outing was partly fueled by the recent adoption of Theta Network’s EdgeCloud Hybrid platform for AI agent research by Yonsei University.

Other AI Crypto Assets See Strong Weekly Rally with Multiple Double-Digit Gainers

DeXe (DEXE) posted a strong weekly uptick of 19.98%, adding to its solid monthly momentum. AIOZ Network (AIOZ) is flying high with a 23.93% and 28.30% rally in its 7-day and one-month charts. On top of that, AIOZ is also one of the top gainers in today’s market session, recording a 21.36% intraday uptick.

Aethir (ATH) surged 30% in the past week to $0.037, backed by solid price action indicators. Turbo (TURBO) completes the top fifteen with a 20.61% northward climb, solidified by an over 12% climb in the past 24 hours.

The recent growth of AI crypto assets underscores the increasing adoption of artificial intelligence-focused platforms. Besides, this blend of two key industries could further establish AI as a crucial component in the crypto space. As the sector grows, market participants are closely watching how these AI crypto coins evolve and influence decentralized ecosystems.

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James G. avatarJames G. avatar

James G.

James Godstime is a crypto journalist and market analyst with over three years of experience in crypto, Web3, and finance. He simplifies complex and technical ideas to engage readers. Outside of work, he enjoys football and tennis, which he follows passionately.

DISCLAIMER

The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.





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AI slop is on the rise — what does it mean for how we use the internet?

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You’ve probably encountered images in your social media feeds that look like a cross between photographs and computer-generated graphics. Some are fantastical — think Shrimp Jesus — and some are believable at a quick glance — remember the little girl clutching a puppy in a boat during a flood?

These are examples of AI slop, low- to mid-quality content — video, images, audio, text or a mix — created with AI tools, often with little regard for accuracy. It’s fast, easy and inexpensive to make this content. AI slop producers typically place it on social media to exploit the economics of attention on the internet, displacing higher-quality material that could be more helpful.



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How to talk to your teen about AI : NPR

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Parents should broach the AI conversation with their children when they are elementary school-age, before they encounter AI through their friends at school or in other spaces, says Marc Watkins, a lecturer at the University of Mississippi who researches AI and its impact on education.

Eva Redamonti for NPR


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Eva Redamonti for NPR

Nicholas Munkbhatter started using ChatGPT shortly after the artificial intelligence chatbot was released in late 2022. He was 14 at the time, and he says, “I would use it for almost everything, like math problems.”

At first, Munkbhatter, who is from Sacramento, Calif., thought it was amazing. But then, he says, he started to see downsides: “I realized it was just giving me an answer without helping me go through the actual process of learning.”

Many kids and teens use ChatGPT and other generative artificial intelligence models like Claude or Google Gemini for everything from dealing with math homework to coping with a mental health crisis, often with little to no guidance from adults. Education and child development experts say parents must take the lead in helping children understand this new technology. 

“Having conversations now about what is ethical, responsible usage of AI is important, and you need to be a part of that if you are a parent,” says Marc Watkins, a lecturer at the University of Mississippi who researches AI and its impact on education.

While early evidence suggests the technology could bolster student learning if deployed correctly, ongoing research and stories about teenagers who died by suicide after talking to AI chatbots indicate significant risks to young users.

Experts share advice on how to talk to kids about AI, including its potential benefits and harms.

Start the conversation early 

Broach the conversation when children are elementary-school age, Watkins says, before they encounter AI through their friends at school or in other spaces.

To guide these discussions, Watkins says to budget time each week to learn about AI and try the tools for yourself. That might mean listening to a podcast, reading a newsletter or experimenting with platforms like ChatGPT.

To explain how AI works to your kids, Watkins recommends playing a Google game called Quick, Draw!. Players receive a drawing prompt, and the game’s neural network tries to guess what you’re drawing by recognizing patterns in doodles from thousands of other players.

Watkins says it’s a way to show kids that AI is only as good as the data it’s trained on. It mimics how humans write and create content, but it doesn’t think or understand things the way people do.

Use AI together 

Since the technology is still evolving, parents are often learning about it alongside their children. Ying Xu, an assistant professor at the Harvard Graduate School of Education, who researches AI, says parents can use this as an opportunity to explore it together.

For example, the next time your child asks you a question, type it into an AI chatbot and discuss the response, Xu says. “Is it helpful? What felt off? How do you think this response was generated?”

Parents should also reinforce that AI can make mistakes. Xu says parents can teach kids to fact-check information that AI chatbots provide by using other sources.

Explore its possibilities 

If your kid is using AI for homework help, keep an open mind.

Research has shown that some AI tools can have a positive impact on learning. Xu worked with PBS Kids to design interactive, AI-powered digital versions of popular kids shows. She found that children who watched the AI versions were more engaged and learned more compared with children who watched the traditional broadcast version of the show.

Meanwhile, Munkbhatter, the teenager from Sacramento, says AI has been a helpful learning aid and brainstorm partner — so long as he doesn’t use it to do all the work for him.

Now, if he gets stuck on a challenging math problem, he says he asks ChatGPT: “What’s the first step I should take when looking at a problem like this? How should I think about it?”

Munkbhatter also says he provides his class notes to ChatGPT and asks it to quiz him on the subject matter. “I make sure that it only gives me the question itself rather than the question and the answer at the same time.”

Understand the risks

We don’t yet know how generative AI will impact child development in the long term, but there are some present dangers.

Dr. Darja Djordjevic, a faculty fellow at Stanford University’s Brainstorm: The Stanford Lab for Mental Health Innovation, is working with the group Common Sense Media to study how popular AI models respond to users who show symptoms of psychiatric disorders that affect teens. The research hasn’t been released yet, but Djordjevic shared some of her findings with NPR.

“ What we found was that the AI chatbots could provide good general mental health information, but they demonstrated concerning gaps in recognizing serious conditions,” Djordjevic says.

At times, she says, AI chatbots provided unsafe responses to questions and statements about self-harm, substance use, body image or eating disorders and risk-taking behaviors. She says they also generated sexually explicit content.

NPR reached out to OpenAI, the company behind ChatGPT, about these concerns. We were directed to a recent post on the company’s website that says OpenAI is “continuing to improve how our models recognize and respond to signs of mental and emotional distress and connect people with care, guided by expert input.”

The post says ChatGPT is also trained to direct users expressing suicidal intent to professional help.

Warning signs a child is spending too much time with AI include increased time alone with devices or talking about an AI chatbot as if it were a real friend.

“That’s a warning sign that the conversation about these being AI tools and not people needs to be nurtured again,” Djordjevic says.

Set reasonable household rules around AI 

You may be wondering how to enforce these boundaries at home. Experts share their tips.

Co-write the AI rules with your kids, Djordjevic says. Identify safe uses of AI together — like for homework help with a parent’s supervision or as a creative outlet — and limit the amount of time your child uses it. And check in regularly on how the use of AI is making your child feel.

Don’t prohibit your kids from using AI — but do set limits. “Bans don’t generally work, especially with teens,” Watkins says. “What works is having conversations with them, putting clear guidelines and structure around these things and understanding the do’s and don’ts.” Parents should feel empowered to ban clearly dangerous uses, like if a child is harming themselves and an AI chatbot encourages the behavior, Djordjevic says. 

Make time for real life. Prioritize time spent outside with real people, away from devices, Djordjevic says. That could include joining a sports team and scheduling regular family activities.

Trust that your conversations will make a difference. As overwhelmed as parents might feel navigating AI, Watkins emphasizes that taking time to talk with kids can have real impact: “They’re not going to remember an ad from an AI chatbot. They’re going to remember a conversation you had with them. And that gives you a lot of agency, a lot of power in this.”

This episode of Life Kit was produced by Clare Marie Schneider. It was edited by Malaka Gharib. The visual editor is Beck Harlan.

Want more Life Kit? Subscribe to our weekly newsletter and get expert advice on topics like money, relationships, health and more. Click here to subscribe now.



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5 Top Artificial Intelligence Stocks to Buy in September

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The opportunity in AI remains massive.

Artificial intelligence (AI) has been the driving force behind the stock market’s biggest winners in recent years, and that trend looks far from finished. The opportunity ahead is still massive, so this is an area that most investors will want some exposure to.

Here are five top AI stocks to buy as September rolls on.

Image source: Getty Images

1. Nvidia

No company has benefited more from the buildout of AI infrastructure than Nvidia (NVDA 0.43%). Its graphics processing units (GPUs) remain the gold standard for powering the training of large language models (LLMs), and its popular CUDA software platform helped give it a moat that competitors have yet to crack. Meanwhile, its networking revenue is also soaring, with demand for its NVLink, InfiniBand, and Spectrum-X products leading to a 98% year-over-year surge in Q2 data center networking revenue to $7.3 billion.

While its Blackwell chips are already the leading hardware for providing processing power for training, Nvidia said that those GPUs also set the standard for inference, which could eventually become a much bigger market than training. With AI infrastructure projected to be a multitrillion-dollar market in the coming years, Nvidia has more than enough room to keep growing.

The stock has had a massive run, but the momentum behind AI spending means Nvidia remains a top pick for long-term investors.

2. Broadcom

Broadcom (AVGO 0.19%) has emerged as the go-to name for custom AI chips, which are becoming critical as hyperscalers (operators of massive data centers) look to lower their inference costs and reduce their reliance on Nvidia. Broadcom already counts Alphabet (GOOGL 0.22%) (GOOG 0.27%), Meta Platforms (META 0.70%), and ByteDance among its customers, and management projects that these relationships alone could be worth $60 billion to $90 billion by its fiscal 2027 (which ends October 2027).

However, things got even better for shareholders after Broadcom revealed that a fourth customer, presumably OpenAI, had placed a massive $10 billion order for next year. The pace at which Broadcom is able to design custom AI chips appears to be accelerating, which bodes well for its growth, especially with Apple having been earlier revealed as a fifth major customer.

Throw in Broadcom’s strong networking business and its VMware arm, which positions it as a software player in AI infrastructure, and this is a company with a lot of growth potential. Investors looking for diversified AI winners beyond Nvidia should have this stock near the top of their lists.

3. Advanced Micro Devices

The next battleground in the AI chip wars looks like it will be for inference. While Nvidia and Broadcom are both well positioned for this fight, don’t count Advanced Micro Devices (AMD 1.91%) out. AMD has already been carving out a role in this space. Seven of the 10 biggest AI operators already use its GPUs, with one major AI company running a significant amount of inference on AMD chips.

AMD, along with Broadcom and others, also helped form the UALink Consortium to create an open-source interconnect standard. This could loosen the grip that Nvidia has established on that score with its NVLink offering, and allow companies to more easily mix and match AI chips from different vendors. That would be hugely beneficial for AMD.

On top of that, AMD’s central processing units (CPUs) continue to gain traction in data centers. The revenue gap between Nvidia and AMD is still massive, which is why even modest market share gains in the GPU segment could drive AMD’s numbers significantly higher. That opportunity makes the stock a compelling buy.

4. Alphabet

Alphabet just dodged what could have been a big problem when the judge in its antitrust case opted not to require it to sell its Chrome browser. That preserved one of the company’s most important advantages in search: distribution. That foundation, with Chrome and Android, gives Google an advantage that will be difficult for AI upstarts to overcome.

The company is now layering AI on top of search. Its AI Overviews are already being used by more than 2 billion people each month, and it’s rolling out AI Mode around the world in different languages. Meanwhile, its Gemini large-language models are among the best in the industry, and giving users the option to toggle between AI Mode and traditional search inside Google is another edge. Importantly, Alphabet knows how to monetize users, whether through traditional search or AI.

Beyond search, Google Cloud has been a powerful growth engine for Alphabet as companies rush to cloud computing providers to help build out their own AI models and apps and run them on cloud infrastructure. Meanwhile, its custom chips — made with the help of Broadcom — have given it a cost advantage. Add in other bets like its Waymo robotaxi business and its quantum computing efforts, and Alphabet is well-positioned for the future.

5. Meta Platforms

Meta Platforms has reinvented itself with AI, turning what many thought was a fading social media company into one of the best growth stories out there. Its Llama models are improving user experiences by serving up more engaging content, while advertisers get access to better targeting and ad campaign tools. That combination led to a 22% year-over-year jump in ad revenue last quarter, with both impressions and ad prices moving higher. Meta is also just starting to run ads on WhatsApp and Threads, opening up new growth avenues. 

Yet CEO Mark Zuckerberg’s ambitions go well beyond ads. He has talked openly about building “personal superintelligence” and has been recruiting aggressively to make it happen.

With its huge operating cash flow, Meta can afford to chase big opportunities in AI, and it already benefits from AI-driven gains in its core business. That makes Meta an AI stock to own.

Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Apple, Meta Platforms, and Nvidia. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.



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