H.C. Wainwright Maintains Buy Rating on MoonLake Immunotherapeutics (MLXT), Keeps PT

On May 27, Analyst Ram Selvaraju of H.C. Wainwright reiterated a Buy rating on MoonLake Immunotherapeutics (NASDAQ:MLTX) while keeping the price target unchanged at $100.
The reiteration is based on the company's Sonelokimab candidate, which is currently in Phase 3 with topline data release anticipated soon.
A close-up of a biopharmaceutical research laboratory, with a microscope in the foreground.
Selvaraju highlighted the upcoming release of top-line data from the Phase 3 VELA program for Sonelokimab as a major catalyst for the company. The company reported rapid enrollment in this trial, which was faster than industry norms. The analyst believes the company has a huge market opportunity for Sonelokimab, estimating it could address a $10 billion to $15 billion market.
While mentioning the financials, Selvaraju noted MoonLake Immunotherapeutics (NASDAQ:MLTX) had reserves of about $480 million as of early 2025 and also secured a term loan facility of up to $500 million giving runway till 2028 without immediate equity dilution.
MoonLake Immunotherapeutics (NASDAQ:MLTX) is a clinical-stage biopharmaceutical company specializing in the development of medicines for immunologic diseases. Sonelokimab is its key candidate for treating diseases caused by immune system dysfunction, such as inflammatory skin diseases and joint diseases.
While we acknowledge the potential of MLTX as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than MLTX and that has 100x upside potential, check out our report about the .
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8 minutes ago

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Which 3 Tech Giants Could Cross the $3 Trillion Mark Next?

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Time​ Magazine

22 minutes ago

• Time​ Magazine

Alexandr Wang on AI's Potential and Its ‘Deficiencies'

On June 12, Alexandr Wang stepped down as Scale's CEO to chase his most ambitious moonshot yet: building smarter-than-human AI as head of Meta's new 'superintelligence' division. As part of his move, Meta will invest $14.3 billion for a minority stake in Scale AI, but the real prize isn't his company—it's Wang himself. Wang, 28, is expected to bring a sense of urgency to Meta's AI efforts, which this year have been plagued by delays and underwhelming performance. Once the undisputed leader of open-weight AI, the U.S. tech giant has been overtaken by Chinese rivals like DeepSeek on popular benchmarks. Although Wang, who dropped out of MIT at 19, lacks the academic chops of some of his peers, he offers both insight into the types of data Meta's rivals use to improve their AI systems, and unrivaled ambition. Google and OpenAI are both reportedly severing deals with Scale AI over the Meta deal. Scale declined to comment, but interim CEO has emphasized that the company will continue to operate independently in a blog post. Big goals are Wang's thing. By 24, he'd become the world's youngest self-made billionaire by building Scale into a major player labeling data for the artificial intelligence industry's giants. 'Ambition shapes reality,' reads one of Scale's core values—a motto Wang crafted. That drive has earned him admiration from OpenAI CEO Sam Altman, who lived in Wang's apartment for months during the pandemic. But his relentless ambition has come with trade-offs. He credits Scale's success to treating data as a 'first-class problem,' but that focus didn't always extend to the company's army of over 240,000 contract workers, some of whom have faced delayed, reduced, or canceled payments after completing tasks. Lucy Guo, who co-founded Scale, but left in 2018 following disagreements with Wang, says it was one of their 'clashing points.' 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This is certainly the future, and how we, as a society, undergo that transition with minimum disruption is very, very non-trivial. I think it definitely sounds scary when you talk about it, and I think that's sort of like an indication that it's not going to be something that's very easy to accomplish or very easy to do. My belief is, I think that there's a number of things that we have to build, that we have to get right, that we have to do, to ensure that that transition is smooth. I think there's a lot of excitement and energy put towards this sort of agentic world. And we think it touches every facet of our world. So enterprises will become agentic enterprises. Governments will become agentic governments. Warfare will become agentic warfare. It's going to deeply cut into everything that we do and there's a few key pieces, both infrastructure that need to be built, as well as key policy decisions and key decisions [about] how it gets implemented within the economy that are all quite critical. What's your assessment of how prepared and how seriously the U.S. government is taking the possibility of 'AGI' [artificial general intelligence]? I think AI is very, very top of mind for the administration, and I think there's a lot of trying to assess: What is the rate of progress? How quickly are we going to achieve what most people call AGI? Slower timeframe, faster timeframe? In the case where it's a faster timeframe, what are the right things to repair? I think these are major conversations. If you go to Vice President JD Vance's speech from the Paris AI action Summit, he speaks explicitly to this, the concept that the current administration is focused on the American worker, and that they will ensure that AI is beneficial to the American worker. I think as AI continues to progress—I mean, the industry is moving at a breakneck speed—people will take note and take action. One job that seems ripe for disruption is data annotation itself. We've seen in-house AI models used for the captioning of the dataset OpenAI's Sora, and at the same time, reasoning models are being trained on synthetic self-play data on defined challenges. Do you think those trends pose a threat of disruption to Scale AI's data annotation business? I actually think it's quite the opposite. If you look at the growth in the AI related jobs around contribution to AI data sets—there's a lot of words for this, but we call them 'contributors,'—it's grown exponentially over time. There's a lot of conversation around whether as the models get better does the work go away. The reality is that the work is continuing to grow many fold, year over year and you can see this in our growth. So my expectation actually is, if you draw a line forward, towards an agentic economy, more people actually end up moving towards doing what we'd currently consider AI data work—that'll be an increasingly large part of the economy. Why haven't we been able to automate AI data work? Automating AI data work is a little bit of a tautology, because AI data work is meant to make the models better, and so if the models were good at the things they were producing data for, then you wouldn't need it in the first place. So, fundamentally, AI data is all focused on the areas where the models are deficient. And as AI gets applied into more and more places within the economy, we're only going to find more deficiencies there. You can stand back and squint and the AI models seem really smart, but if you actually try to use it to do any of a number of key workflows in your job, you'd realize that's quite deficient. And so I think that as a society, humanity will never cease to find areas in which these models need to improve and that will drive a continual need for AI data work. One of Scale's contributions has been to position itself as a technology company as much as a data company. How have you pulled that off and stood out from the competition? If you take a big step back, AI progress fundamentally relies on three pillars: data, compute and algorithms. It became very clear that the data was one of the key bottlenecks of this industry. Compute and algorithms were also bottlenecked, but data was sort of right there with them. I think before Scale, there weren't companies that treated data as the first-class of a problem it really is. With Scale, one of the things that we've really done is treat data with the respect that it deserves. We've really sought to understand, 'How do we solve this problem in the correct way? How do we solve it in the most tech-forward way?' Once you have these three pillars, you can build applications on top of the data and the algorithms. And so what we've built at Scale is the platform that first, underpins the data pillar for the entire industry. Then we've also found that with that pillar, we're able to build on top, and we're able to help businesses and governments build and deploy AI applications on top of their incredible wealth of data. I think that's really what set us apart.

Forbes

28 minutes ago

• Forbes

5 Business Technology News Stories This Week: Amazon Replacing Workers With AI

LAS VEGAS, NEVADA - DECEMBER 3: Amazon CEO Andy Jassy speaks during a keynote address at AWS ... More re:Invent 2024, a conference hosted by Amazon Web Services, at The Venetian Las Vegas on December 3, 2024 in Las Vegas, Nevada. (Photo byfor Amazon Web Services) Here are five things in technology that happened this week and how they affect your business. Did you miss them? This Week in Business Technology News Business Technology News #1 – AI means Amazon will need fewer white-collar workers over time, CEO says. Amazon CEO Andy Jassy recently sent a company-wide email outlining how generative AI is reshaping Amazon's future and its workforce. He emphasized that while AI will boost efficiency and reinvent customer experiences, it will also lead to fewer white-collar jobs over time. Jassy noted that Amazon is already using AI across nearly every part of its operations – from Alexa+ and shopping tools to fulfillment logistics and advertising. The company has over 1,000 generative AI tools in development, and Jassy believes this is just the beginning. He encouraged employees to embrace the shift by learning about AI, attending workshops, and experimenting with the technology. Those who adapt will be 'well-positioned to have high impact and help us reinvent the company,' Jassy said. (Source: Quartz) Why this is important for your business: Everybody needs to take a breath. Knowing how unreliable, inaccurate, and error-prone today's AI tools are I don't see this technology replacing people right away. But…it's going to happen, and likely more so in the next 2-5 years. If you're an employee of a big company take to heart Jassy's advice: become expert with these tools so that you can become valuable, productive and profitable to your employer. If you're a small business owner the same applies. Business Technology News #2 – farm-ng updates Amiga robot software for small, midsize farms. Robotics platform Farm-ng has rolled out a major software update for its Amiga modular robot – designed to better serve small and midsize farms. A streamlined, grower-friendly interface simplifies robot control even for users with minimal technology experience. A new Job Manager lets farmers plan, save, and repeat tasks like seeding, weeding, and spraying with precision. The update also includes improved hands-free navigation and automated implement control within defined farming zones. All updates are delivered over-the-air (OTA) so existing users can upgrade without new hardware or complex installs. (Source: The Robot Report) Why this is important for your business: Often overlooked by the mainstream news, ag-tech has been booming over the past few years. Companies like Farm-ng have been rolling out robotics, internet-of-things-enabled equipment and sensors as well as advanced predictive analytics leveraging AI to better forecast production. This is an industry where ever penny counts and technology is making a difference. Business Technology News #3 – Vercepta launches to give small business owners real-time control over online reputation. Reputation management platform Vercepta has officially launched, giving small business owners real-time control over their online reputation. Developed by Stellar Analytics, Vercepta offers features typically reserved for large enterprises, including real-time alerts for new reviews across major platforms. Data-driven insights track sentiment trends and identify potential risks. These tools help businesses not just react to feedback but also proactively manage their public image. Founder Justin Jennings emphasized that most reputation tools are built for agencies, not the business owners themselves. (Source: KXAN Austin) Why this is important for your business: Reputation management remains one of the top security concerns for small businesses and in some cases even more important that malware, ransomware or data breaches. Hackers stealing data or impersonating businesses can cause far-reaching reputation issues, particularly on social platforms. Business Technology News #4 – Reddit unveils AI-driven ad tools to help brands tap into user discussions. Reddit has launched two new AI-powered advertising tools – Reddit Insights and Conversation Summary Add-ons – to help brands tap into real-time user discussions and trends across the platform. Reddit Insights uses AI to analyze billions of posts and comments, surfacing cultural trends, brand sentiment, and emerging topics to guide campaign planning. Conversation Summary Add-ons allow advertisers to display curated, positive user comments directly beneath promoted posts, adding authenticity and social proof. These tools are part of Reddit's broader push to monetize its vast trove of community-driven content while preserving its unique, human-centered vibe. (Source: Reuters) Why this is important for your business: Reddit continues to grow in popularity among people doing research, having conversations or looking for feedback on their ideas. I'm active on a couple of Reddit groups and have learned much from other users too. Which his why it's no surprise that advertisers – big and small – are looking to leverage this audience. And Reddit is responding – these new tools look promising to those who want to make the Reddit community part of their marketing campaigns. Business Technology News #5 – WhatsApp is officially getting ads. WhatsApp is officially rolling out advertisements in its Status feature, making a major shift for the previously ad-free messaging app. These ads will appear in the updates tab – similar to Instagram Stories – and will not affect private chats, which remain end-to-end encrypted. Alongside Status ads, WhatsApp is also introducing paid channel subscriptions allowing creators to offer exclusive content. Promoted channels will give businesses and influencers more visibility. Meta says ad targeting will rely on basic data like location, language, and user interactions – especially for those who link WhatsApp with other Meta services. This is part of the company's broader strategy to monetize WhatsApp's massive user base. (Source: The Verge) Why this is important for your business: Speaking of advertising! Like Reddit (above), WhatsApp has a huge community and – let's admit it – we've been using this free service for years without anything being asked of us. Well, that's changing. Going forward you can expect to see more ads on this platform, which maybe annoying but it can also present marketing opportunities for small businesses looking to reach new audiences. Every week I pick 5 business technology news stories and round them up here, along with my comments.