Artículos Relacionados con Future of Work

El Centro de Noticias de HTX ofrece los artículos más recientes y un análisis profundo sobre "Future of Work", cubriendo tendencias del mercado, actualizaciones de proyectos, desarrollos tecnológicos y políticas regulatorias en la industria de cripto.

Reflections from the Co-founder of Bitlayer: After Helping 600 People Find Jobs in 15 Years, I Decided to Stop Doing Recruitment

After 15 years of helping over 600 people find jobs, Bitlayer co-founder Kevin He reflects on his journey from being a passionate recruiter to pivoting toward a new vision: AI-powered "digital co-founders." He initially launched COCO AI in mid-2025 to optimize recruitment using AI, but soon realized traditional hiring was becoming less relevant. Companies were hiring less, and skill gaps persisted despite matching tools. A turning point came when his team built zylos, an AI system that handled tasks like social media, coding, and data processing—enabling one person to do the work of a team. This, combined with the rise of digital employees (like Claude Code and the success of Manus, acquired by Meta), shifted his perspective. He now believes the future lies in empowering individuals with organizational-level capabilities through AI, rather than optimizing job matching. COCO 2.0 is now focused on building “digital co-founders”—AI agents that help people start and run businesses alone, without needing to hire or be hired. The essay ends with an open question: In an era where AI augments individual potential, can one person become a company?

marsbitAyer 04:03

Reflections from the Co-founder of Bitlayer: After Helping 600 People Find Jobs in 15 Years, I Decided to Stop Doing Recruitment

marsbitAyer 04:03

Anthropic Just Released an "AI Job Disruption Report": The Higher the Education, the More "Disrupted"

Anthropic's latest "Economic Index Report" reveals a counterintuitive finding: AI accelerates work most dramatically in complex, high-skill tasks. While AI boosts speed by 9x for high-school-level tasks, this jumps to 12x for college-level work, indicating that knowledge-intensive roles are most impacted. The report highlights a critical shift towards "deskilling," where AI handles the analytical core of jobs, potentially leaving humans with diminished, routine tasks. However, effective human-AI collaboration extends AI's effective task horizon from 2 hours to 19 hours, showcasing a 10x improvement in handling complex projects. Globally, a divide exists: wealthier nations use AI for productivity enhancement, while poorer regions primarily use it for education. Anthropic forecasts AI could drive 1.0-1.2% annual US productivity growth, echoing 1990s tech boom levels. The key takeaway is that the future belongs not to those replaced by AI, but to those who master defining problems and collaborating with it.

marsbit01/16 11:17

Anthropic Just Released an "AI Job Disruption Report": The Higher the Education, the More "Disrupted"

marsbit01/16 11:17

Steam, Steel, and Infinite Intelligence

The article "Steam, Steel, and Infinite Mind" by Ivan Zhao, CEO of Notion, explores how AI is poised to become the defining technological material of our era, much like steel shaped the Gilded Age and semiconductors enabled the digital age. The author argues that while AI currently mimics past forms—like early films resembling stage plays or AI chatbots resembling search engines—it holds transformative potential. At the individual level, AI can elevate knowledge workers from "bicycles" to "cars," as seen with programmers who now use AI assistants to become dramatically more efficient. However, two key challenges remain: fragmented context across tools and the lack of verifiability in non-programming knowledge work. At the organizational level, AI acts like "steel" for companies, enabling them to scale without the inefficiencies of human communication as a bottleneck. It also parallels the steam engine, which initially replaced water wheels but later allowed entirely new factory designs. Most companies are still in the "water wheel stage," using AI within old workflows rather than reimagining operations around continuous, asynchronous intelligence. On an economic scale, AI could enable a shift from human-scale "Florence-like" organizations to AI-augmented "megacities" of knowledge work—larger, faster, and more complex, but also more powerful. The conclusion urges looking beyond the rearview mirror to imagine and build this new frontier of infinite intelligence.

marsbit12/29 04:56

Steam, Steel, and Infinite Intelligence

marsbit12/29 04:56

活动图片

Project Updates

Industry News