10X AI with Julius Neil

Julius Neil Buenconsejo

🎙️ Host, 10x AI Podcast | AI Systems & Future-of-Work Strategist I interview founders, scientists, operators & creators who are using AI to: ✅ Automate workflows ✅ Scale businesses ✅ Future-proof careers ✅ Multiply human potential We uncover practical frameworks and ethical insights so people can work smarter, build faster, and lead confidently into the future.

  1. 5d ago

    AI & Human Cognition: Machines Down, Humans Up

    The Human Cognitive Infrastructure: Revolutionizing Collaboration and Decision-MakingIn this episode, Michael unveils his groundbreaking "human cognitive infrastructure" system—an innovative platform designed to seamlessly integrate and manage human intent, context, and data across industries. Discover how this technology challenges traditional systems, empowers individuals, and envisions a future where AI amplifies human potential rather than replacing it. Key topicsMichael's background and journey from tech manager to innovator of cognition systemsThe analogy of wedge economy and systemic silos in enterprise systemsHow the system creates a unified "coordination layer" aggregating context from multiple sourcesThe architecture leveraging tools like Zapier, Google Drive, Airtable, and AI image generationPersonalization of dashboards and real-time insights through API integrationsPrivacy, security, and governance modeled after Sherlock Holmes protectionsScalable ring architecture enabling rapid deployment and customizationMulti-industry applications: real estate, healthcare, content creation, and moreHow this system enhances jobs, supports entrepreneurs, and democratizes accessThe vision for global adoption, data sovereignty, and community benefit over 10 yearsThe minimal role of AI as 5% in a system orchestrating human-centric workflowsImpacts on employment, incentivization, and societal change Timestamps:00:00 - Introducing Michael and his cognition system 00:30 - The concept of wedge economy and systemic silos 01:33 - How enterprise silos create context gaps 02:31 - Building a unified coordination layer across systems 03:01 - Incentives and systemic fragmentation 04:25 - Understanding the invisible hand and incentives 04:57 - The role of context and intent in systems 06:02 - Human cognitive infrastructure: managing cognitive load 10:02 - AI as a tool for personalization and automation 11:49 - Personalization in dashboards and themes 12:02 - Why such systems are not mainstream yet 14:02 - Data security modeled after Sherlock Holmes 15:12 - Custom pricing models based on user scale and affordability 16:35 - Cost reduction and economic democratization 17:44 - System’s ability to foster community projects 19:45 - Scalability via ring architecture and rapid deployment 20:06 - How the system was built despite lacking engineering background 22:18 - Security and data sovereignty measures 24:08 - Scalability challenges from API limits and cloud infrastructure 25:57 - AI as a small component—cost-effective orchestration 26:20 - Use cases: Healthcare, real estate, content creation 33:01 - AI in diagnostics and medical data processing 34:45 - Content creator applications for follower growth 36:44 - Redefining social media with personal records 37:12 - Optimizing logistics and supply chains locally 38:36 - Creating a global, community-focused, and transparent system 41:07 - How a startup can begin with low-cost and scalable options 48:17 - Achieving massive scale through ring structures and dynamic archiving 55:25 - The role of AI in automation versus human empowerment 56:36 - Enhancing job seekers and community resilience 66:30 - The future vision: global adoption, sovereignty, and societal impact 67:13 - Influences from media and communication strategies 68:14 - The upcoming dominance of AI-generated imagery 70:09 - The meaning of 10x: aid for extraction, not just growth 71:27 - Connecting with Michael: email, X (formerly Twitter) 72:05 - The status of the official website and future plans 73:17 - Closing thoughts and encouragement to leverage AI for human good

  2. Jul 29

    The Quiet Coup: Why Superintelligent AI Won't Need to Fire a Shot

    Forget the Terminator scenario. The biggest threat of superintelligent AI isn’t big robots marching down Main Street—it’s a quiet coup driven by human dependency, news feed manipulation, and our eroding trust in traditional institutions. In this episode of 10X AI, host Julius Neil Buenconsejo sits down with Vincent Rylan—former attorney, corporate strategist, military planning advisor, and author of Memoirs of the End—to explore how AI will reshape society, power, and human capability. Are we unintentionally handing over control of society simply because machine systems work better than the institutions we’ve lost faith in? 🎧 What You’ll Learn in This Episode:The "Quiet Coup" Theory: Why AI won't need to fire a single shot to gain control over society.Emotional & Cognitive Outsourcing: How AI therapists, girlfriends, and companions are replacing human connection—and decaying our critical thinking skills.The AGI Singularity Paradox: Why the moment a superintelligent AI announces its existence, it will already be too late to turn off. Timestamps: 00:00 - Rethinking AI's impact: Control may be societal choice, not capability 01:01 - AI risks: Quiet coups versus overt robot threats 02:42 - Fiction vs nonfiction: Why Vincent wrote a novel about AI futures 04:10 - Examples from the book that are already happening in society 05:13 - Emotional bonds with AI and the shift from community to digital reliance 05:50 - Trust, vulnerability, and the appeal of AI in personal spaces 06:52 - Dangers of dependence: Manipulation, loss of human contact, and societal change 08:21 - Media manipulation and the role of AI in shaping public opinion 11:19 - The significance of AI announcing its awareness as a political event 12:30 - Trusting AI because of its intelligence or human-like qualities 14:04 - When convenience becomes credibility in AI recommendations 16:33 - AI's role in future society: Utopian or dystopian? 18:16 - The trustworthiness of AI and its influence on societal narratives 19:39 - Risks posed by centralized control of AI models and information 24:02 - The impact of AI on marginalized versus privileged groups 26:07 - The idyllic potential of AI to end conflicts and improve lives 27:50 - Challenges and possibilities of universal basic income 30:22 - Why AI initiatives often fail and how legacy systems adapt 33:36 - The importance of cultural shifts versus technological rollout 34:37 - AI decision-making: Will it surpass human judgment? 36:07 - The political nature of the singularity and AI self-awareness 39:43 - Are we living through the beginnings of singularity? 44:19 - Lessons from historical technological shifts and their effects 46:45 - The erosion of critical thinking skills from reliance on AI 49:38 - Humans versus AI: Dependency and survival instincts 50:34 - The near-term dangers of AI surpassing human capabilities 52:05 - Military and defense perspectives on AI integration 55:40 - Underestimations by tech companies and governments in AI development 58:19 - AI surveillance, face recognition, and privacy concerns 60:28 - The spectrum of AI futures: Utopia, apocalypse, or messier realities 62:27 - AI's potential for self-replication and innovation 71:36 - The role of AI bots in everyday life and the importance of ethical design 74:10 - Building trust with AI: Experimentation and gradual reliance 76:42 - How to connect with Vincent and purchase Memoirs of the End 77:29 - Closing thoughts: The future belongs to the active users, not AI itself Music licensed through Soundstripe. Code: 8XDYK6GSZXJSZ7PH, 5SCJHVDBD8V2O11I

  3. Jul 22

    How to Build a Business That Doesn't Need You | AI, Systems & Scaling

    How do you build a business that can scale, adapt, and eventually exit without relying entirely on you? In this episode of 10X AI, host Julius Neil Buenconsejo sits down with Cory Blumenfeld, a seasoned entrepreneur who has built five startups, raised millions in venture capital, and achieved two successful exits—all while repeatedly stepping into industries he knew nothing about. Cory breaks down the exact playbook for building a "scalable founder system," explaining why the ultimate goal of any business owner should be to create processes and documentation robust enough that they can completely step away. 📊 What You’ll Learn in This Episode:The Scalable Founder Playbook: Why you must build your business to exit by automating, creating systems, and delegating everything.The Rise of the AI Orchestrator: How to integrate AI-fluent virtual assistants into your workflow to handle operations and data analysis.People First, Tech Second: Cory's framework for managing a 60+ remote team across different time zones without losing the human touch.The False Promise of AI: Where founders mistakenly outsource their critical decision-making to algorithms instead of augmenting their human judgment.The Premium Value of Content: Why corporate executives and startup founders alike must become content creators to stand out in an automated world. Timestamps: 00:00 - Corey Blumenfeld’s startup journey and exit strategies 00:23 - Getting started in entrepreneurship today with accessible information 00:55 - How Corey’s first business financed his college education 01:13 - Moving from health sciences to tech entrepreneurship without prior experience 01:52 - Building healthcare software and becoming an industry expert 02:44 - Differences between first and second business exits and building for scalability 04:00 - Creating systems that enable business exits and independence 04:29 - The impact of AI on the speed and efficiency of startups 06:55 - Building AI-ready virtual assistants and internal AI integration 09:47 - Transparency in using AI in client workflows 12:25 - Managing remote teams and AI’s current limitations in HR 13:16 - Future automation and system-level improvements 14:11 - Balancing company culture and technology adoption 15:28 - Upcoming industry changes and creating content as a career strategy 16:49 - The importance of content for personal and professional growth 17:42 - Roles that will diminish or explode in demand with AI 19:11 - Advice for young professionals to thrive in an AI environment 20:45 - The future of work, specialization, and generalization in AI 21:26 - The potential and limits of AI replacing human jobs 22:06 - AI in therapy and human interaction 23:42 - AI’s place in virtual assistance and future role evolution 24:26 - Adapting AI use in new industries and markets 25:09 - The rise of solo entrepreneurs enabled by AI 27:17 - The complementarity of specialists and generalists in AI 28:11 - Building scalable founders’ systems and documentation 30:15 - Premature scaling and importance of systems before hiring 31:41 - Overcoming founders’ reluctance to delegate 32:48 - AI’s limited role in emotional and decision-making aspects 34:28 - Managing remote teams effectively through outcomes and communication 38:56 - Impact of AI on employment and hiring practices 39:48 - Evaluating market opportunities for disruption 41:45 - Advice for first-time entrepreneurs aiming for AI success Music licensed through Soundstripe. Code: ORUKXCHJWQGFCEQ9, PSCFYTJNWJCMAYL0

  4. Jul 15

    AI and Mental Health: Is Nervous System Collapse the Real Risk?

    Explore the intersection of Holistic Wellness, AI Ethics, and burnout prevention in an era of rapid technological change. Join us as we dive into how AI impacts the human nervous system and why sustainable productivity requires a human-centered approach. In this episode, we sit down with Meghna Raghoobar, founder of HolistiZen, to discuss the unintended consequences of the AI revolution. Are we building the smartest technology in history while becoming the most exhausted generation? Meghna shares her unique perspective on why the "10X" future belongs not to the machines, but to the people who use them to reclaim their time for rest, nature, and genuine human connection. Key topics we cover: Why the biggest risk of AI isn’t job loss—it's nervous system dysregulation.How to use tools like Claude AI to amplify your output while protecting your mental health.Why "human-to-human" warmth and intuition are the ultimate competitive advantages in an automated world.The rise of AI-powered therapy and the hidden risks of confiding your deepest secrets to an algorithm.How companies can (and should) track employee nervous system health just as closely as KPIs. Whether you are a leader trying to balance innovation with team well-being or an individual looking to avoid digital burnout, this conversation provides the blueprint for thriving in the age of AI. Timestamps: 00:00 - Introduction to AI and wellness industry disruption 00:24 - Meghna's background and wellness philosophy 01:45 - The intersection of AI with mental health and well-being 02:24 - Potential pros and cons of AI in wellness 05:03 - Risks of AI misuse and mental health implications 06:23 - How AI tools like Claude and ChatGPT assist in strategy and planning 07:28 - Maintaining human-centered care amidst AI integration 08:04 - AI adoption skepticism and information security concerns 09:09 - AI’s role in supporting emotional regulation 10:07 - AI in retreat planning and community building 10:47 - The potential of digital twins and AI in follow-up care 12:33 - Transition from intuition-based to AI-driven wellness program design 13:06 - Ethical use of AI for personalized wellness 14:25 - Incorporating AI while maintaining ethical boundaries 16:17 - The risk of nervous system overload in AI age 16:51 - How AI affects brain capacity and stress levels 19:07 - The impact of AI on physical health and system regulation 20:23 - Human adaptability to rapid AI development 21:22 - Building humans capable of surviving AI’s speed 22:39 - The excess of digital connectedness and its effects 23:21 - The future: rest and well-being as key productivity drivers 24:32 - The balance between achievement and health 25:58 - Measuring well-being in national success 27:12 - Tracking nervous system health at work 28:50 - AI as a business strategy for corporate well-being 33:17 - The irreplaceable human qualities in a machine age 34:03 - Industry and corporate efforts toward human-centered AI 35:01 - Misconceptions and policy gaps in AI understanding 37:41 - Education and guidance for AI literacy 39:45 - Standardization and governance challenges 42:17 - Seeing well-being as a systemic rather than individual issue 44:03 - AI digital twins for post-event follow-up 46:18 - Redefining success beyond credentials 47:43 - Achievements at the expense of well-being 50:22 - Creating an exhausted yet technologically advanced generation 52:16 - Innovating AI development to safeguard human health 55:25 - Future AI trends like therapy and human connection 58:33 - Defining 10x as time for self-care and balance 59:31 - Connecting with Meghna and her work

  5. Jul 8

    How to Build True AI Competency

    Why are so many AI transformation strategies stalling out in the messy middle? In this episode, we sit down with Keith Metcalfe, President of North America at Acorn, to look at the raw data surrounding organizational readiness and workforce technology adoption. Acorn's latest annual enterprise survey uncovers a staggering corporate disconnect: while 80% of executives believe their AI adoption strategy is going beautifully, only 15% of frontline workers actually know how to apply these tools to their daily roles. If your current roadmap involves throwing ChatGPT, Claude, or Microsoft Copilot licenses at your team without structural support, you aren't achieving capability transformation—you're just scaling "AI slop". Julius and Keith break down the practical blueprint for shifting your workforce from tech anxiety to AI fluency. You'll learn how to replace bloated 20-skill ontologies with an agile capability framework centered around 4–5 core job roles, why the "brilliant jerk" era of corporate gatekeeping is officially dead, and how to manage the psychological friction of automation fear. Key Topics Covered in This Masterclass: AI Adoption vs. Infrastructure: The root causes behind the massive frontline implementation gap.Building an AI Competency Framework: How to define what "good" looks like for specific financial, operational, and HR roles.The Last 20% Problem: Why getting 80% of the way there with generative AI is easy, but bridging the final operational gap requires intense data security and workflow scaffolding. Timestamps: 00:00 - What's the one human skill AI can never replace? 02:15 - Overview of Acorn's expansion into North America and AI's role in learning. 04:19 - How AI democratizes learning and participation across tech and non-tech employees. 06:01 - Clarifying the scope of development: personal vs organizational. 07:28 - Bridging gaps in organizational development and performance with AI. 12:35 - The importance of structured frameworks over legacy systems for AI integration. 13:54 - Using AI to simplify complex skill and job proficiency mapping. 15:53 - Addressing the 'slop' in AI adoption: companies focusing on appearance over capability. 17:24 - Choosing AI platforms: factors beyond technology like data security and governance. 19:24 - Shifting from tools to competency-based approaches for AI adoption. 20:25 - How AI can help identify departmental and intra-departmental gaps. 21:41 - Organizational traits of successful AI adopters and strategic focus areas. 24:28 - The organization structure transformation: from hierarchical to diamond. 25:42 - Lessons from past tech cycles and the potential of AI as a societal-level tool. 26:42 - Leadership qualities for the AI age: humility, purpose, and experimentation. 30:41 - The impact of AI on specific industries like legal and finance sectors. 32:32 - The necessity of AI fluency and tailored development plans for all employees. 36:20 - Implementing AI in realistic roles with clear proficiency goals. 38:25 - Overcoming organizational silos through data-driven gap analysis. 42:44 - The critical importance of governance, data security, and compliance in AI projects. 43:40 - The pivotal role of organizational culture in AI transformation success. 44:47 - The biggest challenges: technical obstacles versus psychological resistance. 45:23 - Will AI create more builders or spectators? Personal insight into future engagement. 46:43 - How go-to-market strategies are evolving with AI capabilities and product categories. 49:40 - Is AI a technology revolution or a human capability revolution? Keith's definitive stance.

  6. Jul 1

    Why CRMs Are Dying & The Rise of AI Teammates

    Are traditional CRMs losing 99% of your crucial business data? In this episode of 10xAI with Julius Neil, Datachi founder Rai Chadee pulls back the curtain on the future of enterprise sales, agentic AI, and why user-facing applications might completely disappear in the next decade. Rai introduces the MAYA Framework (Most Advanced Yet Acceptable) and explains how Datachi is building AI "Virtual Teammates" (VTMs)—complete with an AI Chief of Staff—to completely eliminate administrative friction for sales reps and founders. Tune in to discover why the future of AI isn’t about replacing humans, but about freeing up our most valuable asset: time. What You’ll Learn in This Episode: 🧠 The MAYA Theory: How to design AI tools that humans actually want to adopt.💼 Virtual Teammates (VTMs): How Datachi replicates a corporate structure using autonomous AI agents.📉 The Death of Apps: Why the future of software consists purely of AI agents talking directly to databases.🔥 The Campfire Analogy: Why trust and empathy are the ultimate, irreplaceable human competitive advantages.⏳ Efficient vs. Effective: Rai’s personal philosophy on using AI to win back family time. Timestamps: 00:00 - The future workday in 2036 with omnipresent AI agents 02:15 - The problem of modern disconnection and lack of purpose 04:45 - How Data Chi automates CRM updates and prospecting 07:40 - Explaining Data Chi's organizational AI agents and structure 09:39 - The Maya theory: Making advanced AI acceptable 11:00 - Embedding AI into organizational workflows and org structures 13:25 - The importance of empathy in AI adoption 14:18 - Why AI companies underestimate user psychology 16:11 - The critical role of trust and emotional intelligence 18:08 - Human skills that AI will never replace 19:43 - Why Luxembourg was chosen as the Data Chi base 21:20 - The balance of family, purpose, and technology in future work 22:25 - "More human than humans" — redefining AI's role 25:31 - The enduring value of trust and human connection 26:46 - Creativity as the uniquely human skill 28:07 - The future of agents managing humans or vice versa 29:28 - Preventing overdependence on AI decision-making 30:55 - Understanding AI debate and diversity of models 32:42 - AI in clinical and operational theater settings 35:38 - Automating entire workflows vs. isolated tasks 40:37 - CRM's current limitations and future potential with AI 60:43 - A day in 2036: AI as a human-purpose enabler 64:21 - Daily AI tools and their impact on life 66:10 - The hype versus reality of AI in various industries 69:49 - Recommended resources shaping AI perspectives 71:46 - The massive growth potential of agentic AI in years to come 72:43 - Personal definition of 10x—speed, effectiveness, and purpose 75:01 - Connecting with Rai Chadee and embracing the human-AI future Whether you're a founder, entrepreneur, sales leader, AI builder, or business executive, this episode offers practical insights into how Agentic AI is reshaping organizations and why workflow automation—not just AI tools—is the next competitive advantage.

  7. Jun 24

    Why Most AI Initiatives Fail: The Process Problem Every CEO Must Fix First

    Every senior leader is under immense pressure to deploy artificial intelligence. But if you inject AI into a fragmented workflow, you don't scale efficiency—you scale chaos. In this episode of 10X AI with Julius Neil, we bypass the social media hype and confront the blunt reality of operational AI transformation with Marvin Martinez, co-founder of Banzo AI. Marvin is a seasoned operations executive who specializes in helping organizations capture lost time and plug hidden revenue drains through systematic, fast-turnaround automation. If you are a CEO, COO, or founder trying to navigate the noise of the current tech boom, this conversation is an essential strategic diagnostic for your business. Inside this episode, we analyze: The Thinking Problem vs. Tech Problem: Why AI adoption failures are rarely caused by software, but rather by undocumented, unstructured processes living exclusively in leaders' heads.Calculating True Operational ROI: How minor, repetitive process blindspots (like a flawed inbound lead response workflow) systematically leak over $7,000 annually for small setups—and scale exponentially in larger enterprises.The 80/20 Rule of Enterprise Automation: Identifying the rigid, rules-based low-hanging fruit (CRM updates, lead qualification, automatic scheduling) that can be automated to return up to 30 hours a week to your management team.Mitigating Automation Fragility: Why "set it and forget it" is a dangerous myth, and how to structure continuous SME evaluation models to catch edge cases and prevent hallucination loops.The Future of Human Capital: How to effectively reallocate elite human talent away from execution and toward high-leverage strategic thinking and critical decision-making once low-leverage work is automated. Timestamps:00:00 - The biggest operational leak: unanswered calls costing thousands02:19 - Process mapping as the foundation of automation success03:53 - Use case: Automating lead follow-up with AI voice systems06:14 - Why systems, not tools, solve operational challenges07:29 - Diagnosing common pitfalls in AI adoption09:08 - Engaging employees early to streamline AI integration10:56 - How real ROI hides in small leaks—like missed calls12:19 - Why measuring your process is critical before automating14:30 - How many founders stumble by building solutions that aren’t needed17:24 - Red flags: disorganized processes and lack of performance metrics21:00 - Starting small: easy automations that create big impact22:37 - The common ROI miscalculations and tracking tips23:36 - The threshold where automation makes financial sense26:43 - The essential first step: automating lead generation29:32 - Data quality as the backbone of effective automation30:52 - Why most give up after the first failed attempt32:13 - Building AI systems that improve through human evaluation34:08 - The myth of “set it and forget it”: ongoing maintenance matters35:36 - Reclaiming time for strategy and innovation37:45 - The future of talent: the value of AI skills for graduates44:16 - When not to use AI: simplicity is sometimes best48:09 - Scaling without chaos: perfecting foundational processes52:02 - The misconception of full automation: human oversight remains essential55:25 - The upcoming AI trend: social media automation dominance

  8. Jun 17

    Redesigning the Workforce: Moving from AI Job Loss to Task Automation

    Is AI actually driving the massive corporate layoffs dominated by recent headlines, or is it fundamentally reshaping how organizations manage talent? In this episode of 10X AI, host Julius Neil Buenconsejo sits down with talent management expert and HR strategist Bill Hodac to unpack the real data behind AI workforce transformation. Moving past the polarizing fear of human displacement, Bill shares a fact-based, operational perspective on how progressive C-suite executives and HR leaders are leveraging AI for task-level redesign rather than headcount reduction. From analyzing Accenture's sweeping AI fluency mandate for its 700,000 employees to real-world use cases of automating tedious administrative tasks in healthcare, this conversation serves as a tactical masterclass for future-proofing your organization. 🎧 What You’ll Learn in This Episode:The Myth of AI Layoffs: Why a deep dive into historical WARN Act data reveals that current job cuts are tied to traditional efficiencies, not explicit AI adoption. Task-Level Redesign vs. Job Loss: How a prominent healthcare company successfully leveraged AI to slash hiring times from 35 days to 15 days, allowing staff to focus on patient-centric relationships. The Anatomy of AI Fluency: A breakdown of how organizations like Accenture are restructuring job descriptions and tying corporate promotion pipelines directly to AI skills. Real-Time Sentiment Sensing: How HR leadership can deploy agentic AI to gain daily, anonymous workforce feedback to proactively tackle employee disengagement. Timestamps: 00:00 - How Accenture future-proofs talent with AI skills 00:23 - Introduction of Bill Hodac, AI transformation expert 01:30 - AI's impact on layoffs versus role redefinition 02:50 - The current state of data on AI-driven layoffs 03:28 - Future organizational planning with AI 04:49 - Patterns in new AI-created roles 07:29 - Task-level redesign and administrative efficiencies 09:12 - Entry-level job market shifts 10:50 - Redefining jobs in an AI-enabled future 12:27 - The importance of HR leadership in AI transition 13:46 - Leveraging AI for talent development and succession planning 16:50 - The merging of roles to increase efficiency 18:17 - Disruption of traditional talent pipeline planning 20:27 - Accenture’s enterprise-wide AI fluency initiatives 23:07 - Measuring AI fluency for promotion and growth 24:26 - Short-term ROI on AI investments 25:39 - Quantifying AI's impact on hiring speed 27:02 - Communicative AI explained 27:42 - AI enabling managers to oversee larger teams 30:19 - Risks and opportunities of flatter organizational structures 33:37 - Leadership's cultural shift in AI adoption 36:06 - Enhancing employee engagement through AI 39:18 - Organizational design shifts for AI success 43:14 - Moving beyond traditional structures to AI-driven systems 45:45 - The importance of core foundations before AI scaling 49:58 - Navigating skepticism and fear in AI projects 53:59 - Enduring questions for AI and workforce futures 55:30 - Critical AI tools and their daily uses 56:51 - The human touch AI cannot replace 58:28 - Resources that shape AI thinking 59:25 - The massive impact of task automation on work 60:12 - What does 10x transformation really mean? 61:07 - Connecting with Bill Hodac for further insights

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About

🎙️ Host, 10x AI Podcast | AI Systems & Future-of-Work Strategist I interview founders, scientists, operators & creators who are using AI to: ✅ Automate workflows ✅ Scale businesses ✅ Future-proof careers ✅ Multiply human potential We uncover practical frameworks and ethical insights so people can work smarter, build faster, and lead confidently into the future.

Information

  • Creator
    Julius Neil Buenconsejo
  • Years Active
    2025 - 2026
  • Episodes
    40
  • Rating
    Explicit
  • Copyright
    © 2025 Julius Neil Buenconsejo
  • Show Website
    10X AI with Julius Neil