TechPulse AI Talk Podcast Por Author Adidas Wilson arte de portada

TechPulse AI Talk

TechPulse AI Talk

De: Author Adidas Wilson
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Welcome to "TechPulse AI Talk," a weekly podcast that delves deep into the ever-evolving world of technology. From the latest breakthroughs in artificial intelligence, quantum computing, and biotech, to the societal impacts of social media, cybersecurity, and the digital divide, we explore it all.


Whether you're a tech guru, a startup founder, or just someone curious about where the future is headed, "TechPulse AI Talk" offers insightful discussions, fascinating stories, and a pulse on the latest tech trends.


Dive in with us every week, as we decode the language of innovation and give you a front-row seat to the future. Subscribe now and never miss an episode of "TechPulse AI Talk."Copyright Author Adidas Wilson Política y Gobierno
Episodios
  • 3 No-Code AI Jobs That Are Paying Up To $260,000+ in 2025

    3 No-Code AI Jobs That Are Paying Up To $260,000+ in 2025
    Nov 16 2025
    The episode discusses the rapidly growing demand for no-code and low-code AI professionals in 2025, emphasizing that high-paying roles are no longer exclusive to traditional software engineers. It identifies three dominant, lucrative job titles—AI Solutions Architect (No-Code), AI Operations Engineer (No-Code / Low-Code), and AI Product Lead (Technical but No-Code)—with salaries frequently exceeding $140,000 and often surpassing compensation for traditional data scientists. The document outlines the specific responsibilities, toolsets, and high business value (ROI) these roles provide, such as automating entire workflows and ensuring AI governance without writing code. Finally, the text provides detailed roadmaps for breaking into these fields within 90 to 180 days, noting that successful candidates often come from non-CS backgrounds like consulting, law, and operations.
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    33 m
  • 20 Profitable AI Business Ideas To Make Money in 2026

    20 Profitable AI Business Ideas To Make Money in 2026
    Nov 15 2025
    The episode outlines the massive growth potential of the global artificial intelligence (AI) market, projecting it to surpass $800 billion by 2030 due to lowered technical barriers and accessible tools. It presents a comprehensive list of 20 realistic, high-margin AI business ideas categorized by increasing technical complexity and capital requirements for entrepreneurs to launch in 2026. These ideas range from AI-powered personal brand agencies and vertical Software as a Service (SaaS) chatbots to synthetic voiceover studios and private, enterprise-grade large language models. The source emphasizes that success will come from applying existing AI technology to solve specific customer problems and includes a brief execution playbook advising founders to focus on proof of return on investment (ROI) and to charge fixed monthly fees rather than per-usage costs.
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    42 m
  • AI to Impact 89% of Jobs Next Year - CNBC Survey Reveals

    AI to Impact 89% of Jobs Next Year - CNBC Survey Reveals
    Nov 14 2025
    The source provides a comprehensive analysis of the expected impact of artificial intelligence (AI) on the workforce, primarily drawing from a groundbreaking November 2025 survey by CNBC's Workforce Executive Council (WEC) which polled senior HR leaders. A significant finding is that 89% of these executives anticipate AI will profoundly affect jobs in 2026, marking a major inflection point from cautious experimentation to pervasive integration of technologies like generative AI. The episode emphasizes that AI's influence will primarily involve "task redistribution" rather than immediate mass layoffs, freeing human workers to concentrate on strategic and creative efforts. Furthermore, the analysis explores the resulting challenges, including the necessity for large-scale upskilling initiatives and the critical need to establish strong ethical and equitable governance frameworks as different industries adopt AI at varying paces. Ultimately, the source concludes that adaptation and continuous learning are crucial for navigating the AI-driven transformation of work.
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    37 m
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