The $51 Billion Crypto Secret: Why Stablecoins Are Now the #1 Tool for Criminals
Warning! GuruFocus has detected 6 Warning Sign with META.
Meanwhile, Washington is moving in the opposite direction. The U.S. Senate just passed the Genius Act, aimed at pulling stablecoins into the regulatory fold and making them more accessible to the public. That's triggered a wave of activity. Circle (NYSE:CRCL), the issuer of USDC, went public earlier this month, and its stock has already jumped more than 6x. A company linked to Donald Trump's familyWorld Liberty Financial Inc.is now pushing its own stablecoin initiative. On the surface, it looks like the U.S. is all-in. But the FATF warns that as these tokens become more embedded in daily finance, their misuse could scale just as fast.
The bigger picture? Roughly $51 billion in fraud- and scam-related on-chain transactions took place in 2024 alone, according to the report. And while stablecoins could one day sit quietly in the background of the financial system, like the Bank for International Settlements recently noted, that's far from guaranteed. Especially not with decentralized apps muddying the waters, and enforcement lagging behind innovation. FATF says it's drafting new rules for stablecoins due next year. Until then, investors eyeing the spaceespecially names like Circlemight be riding a powerful growth story... with regulators closing in fast.
This article first appeared on GuruFocus.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Bloomberg
23 minutes ago
- Bloomberg
Senators Came to Their Senses on AI Regulation Ban
Some sense has prevailed in the Senate — a 99-1 vote against a provision in its huge tax and spending bill that would have banned state-level artificial-intelligence laws for the next 10 years. It's been just 944 dizzying days since ChatGPT was launched into the world — imagine what might have happened over the next 3,653. A last-gasp effort to amend the bill, which included reducing 10 years to five, also failed. The new wording would have been more onerous than the original, decimating existing state laws on facial recognition and data privacy. New laws will need to tackle AI-triggered issues on discrimination, recruitment and mental health. The matter is simply too urgent to be left only in Washington's hands. Senators rightly saw through the moratorium as doing the bidding of big tech companies that want free rein to do as they please in the insatiable race to build and sell AI.
Geek Vibes Nation
24 minutes ago
- Geek Vibes Nation
How To Eliminate Guesswork In Business Decisions Using DI
When it comes to business, everything is about making the right decision at the right time. However, many leaders rely on intuition or outdated reports to make major decisions. It may result in a lack of opportunity, a delay in action, or even an expensive error. The great thing about this? You no longer need to do guesswork. Aided by advanced Decision Intelligence solutions, which combine artificial intelligence (AI) and decision-making, companies now have the opportunity to make smarter, faster, and more accurate decisions based on real-time data. Let's explore how DI works, why it matters, and how it helps eliminate the guesswork from decision-making. What Is Decision Intelligence? Decision Intelligence is an efficient technology that unites data, AI, and business logic to assist companies in making better decisions. Dashboards and reports are not enough. DI examines information across all parts of your business, interprets it, and suggests the next step to take. That is, traditional tools only inform you of what occurred; however, the DI will enable you to determine what to do now and even why you are doing what you are doing. Why Guesswork Still Happens in Business Businesses are continuously finding it hard to make optimal decisions, even when there a large amounts of data. Here's why: Too much data in too many places: Sales data on one system, supply data on another, and it is difficult to tie them together. Slow reporting: Reports are submitted on a weekly or monthly basis, which is too late to react to fast decisions. Limited human capacity: People can't analyze hundreds of variables at once. Lack of trust in AI: Not all leaders are willing to make use of what is suggested by a machine. Decision Intelligence solves all of this by gathering data from everywhere, analyzing it instantly, and recommending clear actions, backed by facts. Five Ways Decision Intelligence Eliminates Guesswork End-to-End Visibility DI stitches together siloed metrics—finance, marketing, supply chain—so leaders aren't making choices in isolation. Adaptive Forecasting AI recalibrates predictions with every new data point, ensuring decisions reflect real-time market sentiment rather than last quarter's snapshot. Scenario Stress Testing Before committing resources, teams can sandbox campaigns, price changes, or expansion plans across thousands of simulated economies. Bias Mitigation Quantitative models check human heuristics at the door, lowering the risk of anchoring, groupthink, or recency bias. Faster Cycle Time Automated insights collapse weeks of manual analysis into minutes, keeping momentum high and opportunity costs low. Implementing a Decision Intelligence Solution: A Pragmatic Roadmap 🟢Clarify the Decision Landscape Write out the activities that your team is making all the time, and yet, they have difficulty making well-informed, large-impact decisions. This could be inventory sizes, budgetary decisions, or talent distribution. Put first those that have KPIs. 🟢 Audit Your Data Foundation DI feeds on quality inputs. Institute data governance to check data policies, API connectivity compatibility, and clean old records to give a pass to garbage-in, garbage-out dilemmas. 🟢 Select or Build the Right Models Regardless of whether you will use out-of-the-box elements or personal pipelines, harmonize algorithms to business boundaries. An example is a supply-chain forecast that should include lead times and its storage capacity. 🟢 Embed Human Oversight Domain expertise is helpful even in the case of the most talented artificial intelligence and decision-making engine. Build feedback mechanisms to report edge cases by the managers, making the models more accurate in the long run. 🟢 Measure and Refine Post deployment, speed to decision, error reduction, and ROI lift. Use a monthly iteration, not a one-time install; DI is a breathing system, not a finished system. Decision Intelligence in Action Imagine a retail chain facing unpredictable demand swings. Instead of managers guessing how much stock to ship, the company's DI dashboard recommends precise replenishment quantities for each store by blending point-of-sale data, local events, and weather forecasts. When an unexpected heatwave hits, the system automatically boosts inventory for beverages and cooling appliances, preventing stockouts and lost sales. What once required frantic calls and spreadsheets now happens seamlessly, letting staff focus on superior customer experiences. Common Myths About DI 'Our data is too messy.' Most companies start this way. DI tools include features to clean and organize data over time. Most companies start this way. DI tools include features to clean and organize data over time. 'This will take away jobs.' Actually, DI frees up your team from manual reporting, so they can focus on strategy and creativity. Actually, DI frees up your team from manual reporting, so they can focus on strategy and creativity. 'AI can't be trusted.' The best DI platforms show exactly why a recommendation is made. It's all transparent and easy to understand. The Future of Smarter Decisions According to industry experts, most large companies will be using Decision Intelligence in the next few years. Those who adopt it early will have a major advantage—moving faster, reducing waste, and staying ahead of the competition. Final Thoughts With so much data available today, businesses need more than instinct. They need tools that help turn data into smart decisions—quickly and confidently. That's where Decision Intelligence solutions shine. By combining artificial intelligence with real-time insights, you can finally stop guessing and start making decisions that lead to real business success. Ready to take the guesswork out of your decisions? Start exploring how Decision Intelligence can transform your business today.
Geek Vibes Nation
24 minutes ago
- Geek Vibes Nation
The Rise of Generative AI: Exploring Its Impact On Creativity, Content Creation, And The Future of Work
In the last few years, generative AI has emerged as a transformative force, redefining the boundaries of what machines can do. From creating music and artwork to drafting emails and producing videos, this technology is quickly moving from novelty to necessity across industries. As businesses, creators, and individuals embrace generative AI, its impact is becoming especially evident in three major domains: creativity, content creation, and the evolving nature of work. Redefining Human Creativity Through Algorithms Generative AI operates by analyzing vast datasets to generate new, original content based on learned patterns. While early skepticism revolved around whether machines could truly be 'creative,' today's tools have proven that they can indeed produce content that mirrors, enhances, and even surpasses human imagination in some areas. In the art world, generative AI platforms now create paintings in the styles of classical masters or blend multiple genres into entirely new forms. Musicians can use AI tools to generate melodies, harmonies, or entire compositions tailored to specific moods or genres. Writers are experimenting with AI-driven storytelling, using it to spark new ideas or co-author content. Rather than replacing human creativity, these tools are serving as collaborative companions—expanding what creators can dream up and execute. Importantly, generative AI democratizes creativity. You no longer need years of experience in design, music theory, or creative writing to produce polished, compelling work. With the right prompts, even amateurs can create professional-grade output. This democratization is especially powerful in industries that previously had high barriers to entry, opening the door for a new generation of creators. A New Era in Content Creation Generative AI is perhaps most visible today in the content creation landscape. The explosive growth of digital platforms has created a huge demand for fresh, engaging content across multiple formats—blogs, videos, podcasts, social media posts, and more. AI tools are now being leveraged to automate or accelerate much of this process. AI-powered writing assistants can produce long-form articles, product descriptions, and ad copy with remarkable fluency. Image generation tools can create custom graphics or marketing visuals in seconds. Video creation, a once time-consuming process requiring significant skill and equipment, is now accessible through intuitive platforms that integrate AI. This shift has massive implications for digital marketers, entrepreneurs, educators, and influencers. Speed, scalability, and cost-efficiency are dramatically improved. Brands can now personalize content for different audiences, test multiple versions quickly, and scale campaigns without needing massive creative teams. Moreover, this evolution is fostering greater experimentation. When the cost and time investment of content creation drop, creators are more willing to try new formats, voice tones, or visual styles. The result is a more vibrant, diverse content ecosystem that keeps audiences engaged and opens up new monetization pathways. Human Expression in the Age of AI Avatars Parallel to content innovation is the rise of AI-generated characters, including avatars that mimic real human expressions and voices. These advancements allow users to create lifelike digital personas that can speak, emote, and interact. One of the most striking uses is the creation of a digital avatar for virtual communication, branding, or entertainment. These avatars are now used in explainer videos, training sessions, social media clips, and live-streaming platforms. The technology allows creators to maintain a consistent visual identity while scaling communication across languages and time zones. For influencers and educators, this means you can have a virtual version of yourself presenting content even when you're not physically present. For companies, it means training videos or internal communications can feature branded, professional hosts without the need for recurring studio sessions. The blending of human essence with digital precision presents an opportunity to connect with audiences in new ways. While there are ethical and creative questions still unfolding around synthetic representations, the current applications of digital avatars are undeniably broadening the definition of self-expression. Empowering the Workforce with Smart Tools The implications of generative AI go far beyond art and content—they're shaping the very future of work. In traditional roles, AI tools are improving efficiency, reducing repetitive tasks, and enabling better decision-making. In creative roles, they are offering superhuman abilities to produce at scale. Knowledge workers now have access to AI tools that can summarize documents, analyze large datasets, suggest strategic actions, and automate communication. Designers and marketers are using AI to streamline workflows, gain insights into audience behavior, and produce materials faster than ever before. Perhaps most significantly, generative AI is giving rise to new job categories—AI trainers, prompt engineers, synthetic media specialists, and more. These roles are often hybrids of technical skill and creative thinking, offering opportunities for professionals to pivot into future-proof careers. Educational institutions and companies are beginning to recognize the importance of upskilling in these areas. Workshops, certifications, and internal training programs are being developed to ensure that today's workforce can thrive in tomorrow's AI-augmented environment. The shift isn't just technological—it's cultural. As AI tools become more integrated into everyday work, the emphasis is moving from technical mastery to creativity, problem-solving, and emotional intelligence. Machines handle the execution; humans bring the vision. Tools Bridging the Gap Between Ideas and Execution One of the most tangible outcomes of this AI revolution is the proliferation of tools that help bring ideas to life—particularly in video creation, which has traditionally been resource-intensive. These tools offer drag-and-drop interfaces, script-to-video generation, automated voiceovers, and more, all powered by generative AI. For instance, invideo AI offers an ai video maker app that allows users to transform text scripts into dynamic, polished videos within minutes. Whether it's for marketing, education, or social media, users can select templates, generate voiceovers, and add animations with ease. This dramatically reduces the production timeline and cost, while maintaining a high-quality output. Such platforms are helping small businesses compete with larger players, enabling solopreneurs to scale their presence, and allowing educators to enhance their course materials with engaging video content. The ease of use also promotes inclusivity—allowing those with minimal technical expertise to produce professional videos. Balancing Innovation with Responsibility As with any transformative technology, the rise of generative AI comes with ethical considerations. Concerns around misinformation, deepfakes, copyright, and data privacy are real and must be addressed with appropriate regulations and safeguards. Transparency in AI-generated content, proper attribution, and user consent are foundational pillars that must be reinforced. At the same time, a collaborative approach—where humans and AI work together—can lead to more responsible and meaningful outcomes. With the right checks and balances, generative AI holds the promise of amplifying human potential rather than replacing it. Conclusion Generative AI is no longer a futuristic concept—it is here, shaping the way we create, communicate, and work. From expanding creative boundaries and transforming content creation to redefining career paths, its impact is far-reaching and only just beginning. As industries continue to evolve alongside this technology, those who learn to harness its capabilities responsibly will be best positioned to thrive in this new era of digital transformation.
