Latest news with #techvisionaries
Coin Geek
09-06-2025
- Business
- Coin Geek
Electric truth and the chain of machines when AI meets BSV
Getting your Trinity Audio player ready... Somewhere between the data centers of tomorrow and the ambitions of tech visionaries, the boundary between human and machine is quietly dissolving, not through cinematic revolutions of sentient robots or hostile takeovers, but through incremental integration. Artificial intelligence (AI) and blockchain, once separate branches of technological evolution, are now beginning to merge. Their intersection is not hype, for hype's sake. It's a structural shift. And at the core of that shift is BSV. Too much of the current talk about AI and blockchain is noise. Fancy websites, big promises, and little delivery. Most projects combine buzzwords, raise money, and then disappear. But beneath all that noise, there is a quieter current of genuine innovation. It isn't trying to reinvent money or replace central banks. It's trying to build tools that work. And the blockchain that quietly enables this new frontier is BSV. Unlike many of its rivals, BSV does not chase attention with flashy marketing or speculative mania. Its strength lies in what it was designed to do from the beginning: scale. And scale is precisely what AI needs. The models being built today demand data. Immense amounts of it. Clean, verified, and timestamped. That data must be exchanged, monetized, and audited. Without scalable infrastructure, that vision falls apart. BSV provides the missing piece. Think of AI not just as software but as a hungry engine. One that consumes information constantly, requires traceability and benefits from accountability. BSV acts as a record-keeping system that never forgets. It can handle high volumes of transactions. It can store data on-chain. It can timestamp every input and link every output to a verified identity. In this system, trust does not depend on intermediaries. It depends on the protocol. This is more than just an abstract use case. Developers are already building AI-powered systems on top of BSV, and at least a few are working on a project I am involved in, with the idea that data contributors will be rewarded per submission and algorithms will be trained with full audit trails. Smart contracts allow models to execute logic and distribute rewards based on performance. Every interaction is tracked, and every payout is logged. It's not just innovation; it's accountability. What makes this combination even more powerful is its impact on identity and access. For AI to function in real-world systems, it must interact with other machines and users in a secure and a trusted way. BSV's support for scalable micropayments and native digital identities allows this interaction to happen fluidly. AIs can validate each other, exchange information, and pay for services autonomously. All of it is enforced and recorded on-chain. This model is already being explored in sectors like healthcare, logistics, education, and finance. Imagine AI systems processing patient data where each access request is logged immutably. Or decentralized research platforms where contributors are paid instantly and transparently to improve a shared model. These aren't just ideas; they are prototypes being tested in the open. Of course, adoption will take time. Institutions are still navigating compliance, data privacy, and integration hurdles. But the groundwork is there. The key lies not in building more isolated systems but in connecting them through a shared infrastructure that can handle the load. BSV offers that capability. It is not a speculative asset chasing attention. It is a tool designed to serve the foundations of digital infrastructure. As AI advances, it will demand better ways to source data, verify actions, and allocate value. BSV enables all three, at scale, with efficiency. The future of AI is not only about faster models or bigger datasets. It is also about reliability, transparency, and trust. Blockchain and AI will not merely coexist; they will co-evolve. And in that process, platforms prioritizing real-world performance over marketing narratives will quietly lead the way. BSV may not be the loudest voice in the room. But it is building something that lasts. In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek's coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI. Watch: Demonstrating the potential of blockchain's fusion with AI title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen=""> AI Artificial Intelligence Bitcoin SV Blockchain BSV Blockchain
Forbes
06-06-2025
- Business
- Forbes
The Most Strategic AI Goal Isn't Efficiency—It's Reinvestment Of Time
As companies move quickly to adopt artificial intelligence, one question should rise above all others: How will we reinvest the time we save? AI holds immense potential to eliminate rote, repetitive, and time-consuming tasks. But simply cutting effort isn't a strategy. The true competitive advantage lies in how organizations reinvest that saved time—particularly in what's been hardest to preserve in a world of distributed, digital work: relationships and collaboration. In an era defined by distributed teams and digital overload, many workers are spending more time on screens and less time connecting with each other. If AI only accelerates this dynamic, we risk making things worse. But if it helps create space for human creativity and connection, it could offer exactly what today's workers - and the organizations that employ them - need. Tech visionaries of the 20th century widely predicted that automation would reduce workloads and expand leisure time. And in our personal lives, many of those predictions have come true. Most of us, thankfully, don't need to invest hours washing our clothes on a washboard or hours each day cooking. Machines wash our clothes, clean our homes, and prepare our meals—giving us the freedom to reinvest that time on what matters most to us. But in the workplace, the opposite has occurred. In 1965, Time Magazine predicted a 20-hour workweek thanks to automation and a future with 'mass leisure' thanks to the reduction of work demands. Yet today, even with more advanced tools than ever before, workers are reporting historic levels of burnout. This is especially true for remote workers where face-to-face interactions have diminished, loneliness has increased, and work-life boundaries have blurred. Why the disconnect? Because the efficiency created by technology in our work lives hasn't been reinvested. It's been absorbed. Organizations often respond to improved output by raising expectations—not redesigning the work processes or reevaluating goals. As a result, employees face more tasks, tighter timelines, and fewer opportunities to recover or connect. One of the clearest symptoms of this dynamic is burnout. In BetterUp's 20220 Connection Crisis Report, higher rates of digital interaction were correlated with weaker interpersonal connections—and a rise in burnout. In the years since, the connection between employees hasn't improved, disengagement has risen, and burnout remains a top concern among business leaders, particularly in light of additional layoffs. This creates a vicious pattern that we can think of as a Relational Burnout Cycle: workers stretched thin have less capacity to build relationships, which further weakens team cohesion and increases stress. The very technologies meant to enhance collaboration are, in many cases, eroding the human connections that make great work possible. Today's generation of AI tools offers a fresh opportunity. These tools are exponentially more powerful than past generations of technology, and if deployed strategically, they can give employees back one of their most precious and limited resources: time. But that time must be stewarded wisely by organizational leaders. AI can enable people to do more of what only people can do—foster deeper relationships, solve complex problems, and think creatively. Achieving that, however, will require leaders to do three critical things: The business case for AI shouldn't just be about doing more, faster. It should be about working more strategically and creatively. The companies that get this right won't just become more efficient with technology. They'll become effective at unlocking the potential of their people.
