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. 3D AGO

    The Millennial Wealth Gap: Using AI to Master RSUs, Taxes, and Your Net Worth

    Is your wealth advisor actually working for you, or just collecting a percentage of your hard-earned money? In this episode of 10xAI, host Julius Neil sits down with Priyanshi Gupta, co-founder of Alphanso Wealth, to discuss the fundamental shift in how the new generation manages money. Priyanshi shares her journey from building dashboards at DataDog to creating an AI-driven wealth platform that analyzes 2 million data points daily—all without requiring you to move a single cent out of your current accounts. In this episode, we dive into:The Death of the AUM Model: Why millennials are ditching traditional advisors who take a cut of their assets for a transparent, subscription-based AI model.Data vs. Control: How Alphanso provides "accessible wealth management" by connecting to your existing 401ks, Robinhood, and Fidelity accounts to give you a holistic view of your net worth.The "Human in the Loop": Why AI can rank stocks and harvest tax losses, but human trust remains the "irreplaceable" factor in financial planning.Smart Tax Strategies: Real-world examples of how AI surfaced $3,000 in annual savings through muni-bonds and predicted tax penalties before they happened.Beyond Stock Picking: How "Stock Ranking" and "Embeddings" help diversify portfolios by identifying hidden correlations between seemingly different assets. Whether you’re navigating RSUs, planning for a first home, or looking to optimize your tax strategy, this episode is a masterclass in amplifying your financial future with AI. Takeaways Are people ready to trust AI completely for their wealth?A human in the loop is absolutely necessary.They build that relationship with the client.That human then goes back and puts in into the AI model.Having that human in the loop has definitely helped us serve our clients much better.Timestamps00:00 - Introduction to AI amplifying wealth management, not replacing people02:00 - Priyanshi’s motivation behind Alphanso Wealth and AI solving real client problems05:30 - How Alphanso keeps control in client assets without transfer of assets08:00 - Dashboard features: real-time visuals of portfolios and market signals11:30 - The fundamental shift in wealth behavior among millennials vs. traditional generations15:00 - Using AI for risk assessment, technical analysis, and market signals19:00 - The critical role of human advisors in AI-driven wealth platforms22:30 - Balancing AI algorithms with human intuition and trust building26:00 - Automating tax calculations, tax-loss harvesting, and estate planning30:00 - Personalizing financial goals: milestones, tax-efficient strategies, and behavioral insights35:00 - The impact of flat fee models versus percentage AUM and their influence on client outcomes39:00 - Alpha's technological innovations: machine learning models, stock ranking, embeddings45:00 - Global expansion: tailoring models to diverse cultures and regulatory environments50:00 - Key mindset shifts for founders building AI fintech solutions54:30 - Future of AI in personal finance: less documentation, more automation58:00 - Ensuring data integrity, compliance, and fiduciary responsibility62:00 - The misconception that AI will replace human jobs—it's about augmentation66:30 - Practical advice: embracing a multi-disciplinary skill set and collaboration with AI tools70:00 - The vision of a universal, one-stop wealth platform for all income levels73:00 - Final thoughts: early planning, democratization of wealth management, and future AI trends

    1h 12m

  2. FEB 11

    AI Is Not Cheating—Your Professors Are Using It Too | From Librarian to AI Power Leader

    What if everything you’ve been told about AI in education is wrong? In this episode of 10xAI, host Julius Neil Buenconsejo sits down with Dr. Alyse Jordan—a former librarian turned generative AI specialist—to dismantle the biggest myths about AI, plagiarism, and “cheating” in academia. From AI-written dissertations and hallucinated citations to AI-powered teaching assistants, bots in classrooms, and even AI in churches, Dr. Jordan explains why AI isn’t replacing critical thinking—it’s redefining it. You’ll learn: Why AI is a literacy skill, not a shortcutHow professors can instantly spot AI-generated workThe real difference between cheating and AI-assisted thinkingHow students, educators, and women leaders can 10x productivity with AIWhy AI may become the great equalizer for global education and access If you care about the future of learning, leadership, and human creativity in the age of algorithms—this episode will change how you see AI forever. Dr. Alyse Jordan, a generative AI specialist, discussedthe transformative role of AI in education and beyond. Julius & Dr. Alyse explore the evolution of AI, its implications for academic integrity, and the importance of AI literacy. Dr. Jordan emphasizes the need for educators to adapt to emerging technologies and the potential of AI to empower women and bridge cultural gaps. The conversation highlights the necessity of critical thinking in the age of AI and the opportunities it presents for future generations. takeaways AI amplifies human potential rather than replacing it.Generative AI serves as a powerful tool for academic work.AI literacy is essential for navigating information accuracy.Academic integrity must evolve with the use of AI tools.AI can enhance teaching methods and student engagement.Emerging technologies require educators to adapt and innovate.Cultural literacy is crucial in the age of AI.AI can empower women to start their own businesses.Future-ready educators must embrace AI and its capabilities.AI can serve as a bridge for cultural understanding and inclusivity. Sound Bites "AI is a literacy tool like reading." "AI is not going to write my sermon." "I use ChatGPT every day." Chapters 00:00 Introduction to AI and Its Amplification of Human Potential 06:31 Navigating AI Literacy and Information Verification 09:41 AI's Role in Academic Integrity and Plagiarism 12:32 Generative AI vs Traditional AI 15:16 AI in Teaching and Student Engagement 18:01 The Future of AI in Higher Education 20:51 Essential Competencies for the AI Era 23:30 AI's Impact on Group Collaboration 26:35 The Human Element in AI-Generated Work 28:51 Misconceptions About Generative AI in Education 31:56 Reflections on Emerging Technologies 36:44 Nurturing Future-Ready Educators 39:25 Bridging Cultural Gaps with AI 41:34 Culturally Competent Leadership in AI 42:56 AI's Role in Faith and Community 47:05 AI as an Equalizer in Education 47:39 Empowering Women through AI 49:41 The Future of AI in Education 50:11 A Message to Future Women Leaders 50:36 Rapid Fire AI Insights

    54 min

  3. FEB 4

    77% of Companies Adopt AI… Only 34% Are Ready (Here’s Why They’ll Fail)

    "The hidden people problems behind failed AI projects" In this episode, Patrick Dickerson shares critical insights on how organizations can thrive amidst rapid AI transformation. Emphasizing the enduring importance of human skills like empathy, storytelling, and soft skills, he stresses that AI is an amplifier, not a replacer. Leaders will find clarity here on aligning AI strategy with culture, fostering trust, and developing resilient teams for the future. Key TopicsThe distinction between AI knowledge and human judgment and wisdomHow organizations can align AI strategy with their mission, values, and cultureBuilding trust and communication to alleviate fears about AI replacing jobsThe four core intelligences of character, connection, creativity, and cultural intelligenceStrategies for upskilling leaders and front-line employees in an AI-driven workplaceRecognizing and addressing bias in AI systems through human oversightThe impact of organizational culture drift and early warning signsDeveloping resilience and adaptability to sustain organizational healthThe "resonant culture ship": aligning leadership and culture for high performancePractical steps for inheriting and transforming a struggling, low-trust cultureTimestamps00:00 - The difference between AI knowledge and human judgment02:26 - The shift organizations must make to align AI with culture and mission03:20 - The four human intelligences critical to AI augmentation04:23 - Addressing gaps in AI adoption during organizational audits05:16 - Communicating AI's role to employees to reduce replacement fears07:26 - Lessons from Amazon's AI bias challenges and human oversight08:53 - Strategies for improving internal communication through transparency09:55 - The importance of upskilling leaders first to foster organizational growth11:01 - Overcoming resistance at the executive level to AI adoption12:47 - Upskilling soft skills: storytelling, collaboration, empathy14:43 - The self-awareness and adaptability necessary for AI leadership15:50 - Addressing bias in AI through data quality and human intervention18:53 - Managing burnout and cultural drift during AI transformation20:19 - The importance of adaptability and resilience in evolving environments22:11 - Risks of blindly jumping on the AI bandwagon vs. delayed adoption23:14 - The four A’s of AI leadership: Awareness, Adaptability, Alignment, Action25:27 - Building trust within organizations by fostering psychological safety28:34 - The rising value of storytelling, collaboration, and emotional intelligence29:57 - The importance of clear communication of mission and vision33:35 - Trust as buy-in: creating alignment through transparency36:20 - Recognizing early signs of culture drift and disengagement37:45 - Practical steps for inheriting a struggling culture: listen, strategize, communicate44:04 - Lessons from high-pressure environments: stay proactive and positive46:19 - Future leadership essentials: real-time adaptation and soft skills48:56 - Reassurance: humans are necessary, and AI will augment our roles53:06 - How resilience and persistence shape our growth in the AI era54:29 - Connecting with Patrick for further insights and resources.

    55 min

  4. JAN 28

    Beyond ChatGPT: Why AI Transformation Is Really About People, Not Tech

    Summary In this conversation, Simon Strålberg discusses the evolution and impact of AI, particularly focusing on the transformation brought by ChatGPT. He highlights the challenges organizations face in adopting AI, including employee resistance and the need for data quality. The discussion also touches on the future of AI in personal and professional settings, the role of AI companions, and the potential of virtual reality in enhancing human connections. Simon emphasizes the importance of understanding AI's complexities and the necessity for organizations to adapt to this rapidly evolving technology. Takeaways AI transformation is a gradual process that requires understanding and adaptation.ChatGPT revolutionized AI interaction by achieving high demo quality.Expectations around AI often exceed its current capabilities, leading to disappointment.Data quality is crucial for effective AI implementation.AI companions could significantly impact children's learning and development.The future of work may involve more meaningful human interactions due to AI.Organizations must manage employee fears regarding AI displacement.Technological advancements in AI are rapid, requiring continuous adaptation.AI's role in society will evolve, impacting human relationships and connections.The integration of AI in daily life will require careful consideration of ethical implications. Sound bites "AI is nothing new." "We achieved a great demo quality." "Always strive to improve yourself." Chapters 00:00 Introduction to AI Transformation 02:59 The ChatGPT Breakthrough 05:55 Challenges and Expectations of AI 08:54 Current State of AI Technologies 11:52 Utilizing AI Agents in Workflows 14:58 Enterprise AI Transformation Challenges 17:46 Managing Employee Resistance to AI 20:57 Technological Challenges in AI Implementation 27:59 Navigating AI Strategies for Businesses 29:35 The Importance of Data Quality 32:45 AI's Impact on Children and Companionship 36:19 Second Order Effects of AI on Society 39:06 The Future of Virtual Reality Meetings 47:21 The Human Connection in an AI World Keywords AI transformation, ChatGPT, enterprise AI, generative AI, AI challenges, data quality, AI companionship, virtual reality, human connection, AI trends

    51 min

  5. JAN 21

    AI Won’t Take Your Job — But the Way Companies Use It Might

    In this episode of 10x AI, host Ashley Harvey, founder of Rocky Phoenix AI, discusses the role of AI in amplifying human capabilities rather than replacing them. The conversation delves into Ashley's journey in the AI industry, her six AI certifications, and her experience in blending human connection with emerging technology. The episode also explores the impact of AI on jobs and the tools Ashley uses daily. KeywordsAI, human amplification, Ashley Harvey, Rocky Phoenix AI, AI certifications, technology, jobs, tools TakeawaysAI amplifies human capabilities, not replaces them.Ashley Harvey is the founder of Phoenix Haraki.Ashley has six AI certifications.AI is disrupting various industries.Blending human connection with technology is crucial.AI tools are used daily by professionals.AI's impact on jobs is a common concern.Training for AI fluency is important.AI can enhance HR processes.Emerging tech requires continuous learning.Sound bitesAI amplifies, not replaces. Founder of Phoenix Haraki. Six AI certifications. AI disrupts industries. Blend human and tech. Daily AI tools. AI impacts jobs. Training for AI fluency. Enhance HR with AI. Continuous tech learning.Chapters00:00:26 Introduction to 10x AI00:00:42 Meet Ashley Harvey00:00:54 AI in the Age of Disruption00:02:55 Ashley’s AI Journey00:05:28 Blending Human Connection with Tech00:12:57 Training for AI Fluency00:14:08 AI and Job Impact00:25:14 Tools and Daily Use00:56:06 Conclusion and Takeaways

    1 hr

  6. JAN 14

    From C-Suite to A-Suite: Building Your AI Executive Team

    In this episode of "10X AI," host Julius Neil Buenconsejo sits down with Tiffany Flaming, a seasoned learning and development expert, to explore the transformative power of AI in leadership and entrepreneurship. Tiffany shares her journey of building a team of AI helpers, including Morgan, Athena, and Peggy, to streamline her business operations and focus on strategic growth. Discover how AI can be a partner in creating psychological safety, enhancing productivity, and unlocking human potential. Tune in to learn how you can harness AI to elevate your leadership and business strategies. TakeawaysAI can be a partner in building psychological safety.Strategic freedom is essential for entrepreneurs.AI helps automate tasks, freeing up time for strategic thinking.Psychological safety is crucial for innovation.AI enhances human capabilities, not replaces them.Building a team of AI helpers can boost productivity.AI can assist in creating a safe environment for clients.AI tools can automate low-value tasks, allowing focus on high-value activities.AI is a tool for strategic delegation.Embracing AI can lead to business growth.Chapters00:00:00 Introduction to AI and Psychological Safety00:01:00 Tiffany's Journey with AI00:04:30 Building a Team of AI Helpers00:08:01 AI in Daily Life and Business00:11:43 The Future of AI in BusinessSound bitesAI can be a partner in building psychological safety. Strategic freedom is essential for entrepreneurs. AI helps automate tasks, freeing up time for strategic thinking. Psychological safety is crucial for innovation. AI enhances human capabilities, not replaces them. Building a team of AI helpers can boost productivity. AI can assist in creating a safe environment for clients. AI tools can automate low-value tasks, allowing focus on high-value activities. AI is a tool for strategic delegation. Embracing AI can lead to business growth.

    55 min

  7. JAN 7

    From AI 2025 to 2026: What Changed, What Failed, and What Comes Next

    Summary In this conversation, Julius Neil Buenconsejo engages with Maria Andrianova - NeuroFrame and Viacheslav (V) Kalaushin - Data Nexus to explore the evolving landscape of AI, focusing on personalized tools, misconceptions, and the future of AI in various sectors. They discuss the importance of human-AI interaction, the role of data, and the need for effective governance and policies to ensure ethical use of AI technologies. In this engaging conversation, the speakers delve into the transformative impact of AI across various sectors, including online shopping, corporate well-being, and data security. They discuss the evolution of AI agents in finding the best prices, the importance of personalized corporate programs, and the definition of high performance in different roles. The conversation also touches on the excitement surrounding quantum computing, the ethical implications of AI, and the future of aging and health technology. As they explore the shifts in management styles and job market dynamics, they emphasize the need for organizations to adapt to the rapid changes brought about by AI. The speakers conclude by reflecting on the meaning of '10x' in business, highlighting the increased responsibility that comes with growth. Takeaways Neuroframe uses AI to assess personal strengths.AI cannot replace human decision-making.The UAE is a growing hub for innovation.AI misconceptions include the belief it can solve all problems.Leadership and critical thinking are essential skills in AI.AI is often used for decorative purposes, not transformation.The future of AI may lead to job displacement in the middle class.AI governance is crucial for ethical use.Organizations lack comprehensive AI policies.AI's role in personality assessment is evolving. AI agents will revolutionize online shopping by finding the best prices.Dynamic pricing will lead to personalized shopping experiences.Data security is becoming increasingly fragmented in high-stakes industries.Corporate well-being programs need to be more relevant to employees' roles.High performance is defined differently across various roles and industries.AI is a tool that can enhance productivity but requires responsible use.The potential for reversing aging is being explored through biotech advancements.Leaving employees unsupported will be seen as unethical in the future.AI will be able to read subconscious behaviors that humans currently hide. Chapters 00:00 Introduction to AI Innovations 03:00 Exploring Decision Architecture in AI 05:58 Relocating to the UAE: Opportunities and Challenges 09:55 Misconceptions About AI in 2025 14:00 The Role of Responsibility in AI 17:58 AI's Limitations and Human Interaction 24:59 Understanding Human Behavior Through AI 30:10 Personal Insights from AI Tools 38:32 The Future of Personality AI 43:27 AI Transformation and Responsibility 55:14 AI Governance and Regulation 01:00:46 Current AI Policies in Companies 01:06:02 AI in High-Stakes Industries 01:12:29 Understanding High Performers 01:16:06 Excitement for AI in 2026 01:25:58 Reversing Aging and Decluttering Data 01:28:08 Overrated AI Trends and Future Shifts 01:29:33 Cultural and Governance Impacts of AI 01:31:45 Team Selection and Competition in Organizations 01:36:52 System Design Beliefs for 2026 01:43:26 Ethics of AI in Decision Making 01:49:13 AI's Role in Organizational Functions 01:54:20 Subconscious Behaviors AI Will Read 02:00:17 The Meaning of 10x in Business

    1h 45m

  8. JAN 6

    Scaling Logistics with AI: Lessons from 3PL Systems and the Santa Claus Empire - Part 2

    Summary In this engaging conversation, Robin Carre discusses the intersection of AI and logistics, using the whimsical example of Santa Claus to illustrate key concepts. The discussion covers forecasting, route optimization, the role of data management, and the challenges of AI adoption in logistics. Carre emphasizes the importance of human collaboration with AI and the need for effective change management in implementing new technologies. The conversation concludes with rapid-fire questions that highlight practical insights and opinions on the future of AI in logistics. Takeaways Forecasting is essential for logistics efficiency.AI can optimize delivery routes for better time management.Santa's operations can be enhanced with AI technologies.Data management is crucial for effective logistics.Human collaboration with AI is necessary for success.Automation should complement human efforts, not replace them.Training is vital for successful AI adoption in logistics.Understanding existing processes is key before implementing AI.AI can help in sharing insights across warehouses.The future of logistics relies on effective change management. Chapters 00:00 The Power of Forecasting in Logistics 02:59 AI and Santa: A Modern Twist on Tradition 06:02 Optimizing Santa's Delivery: Route and Time Management 09:07 The Role of AI in Toy Manufacturing and Logistics 12:02 Data Management at the North Pole 15:10 Trends and Challenges in AI Adoption for Logistics 17:59 The Future of Human-AI Collaboration in Logistics 21:08 Key Performance Indicators and AI in Supply Chain 23:51 Investing in AI: Build vs. Buy Decisions 26:54 Final Thoughts on AI and Logistics

    25 min
See All (16)

Trailer

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
    16
  • Rating
    Clean
  • Copyright
    © 2025 Julius Neil Buenconsejo
  • Show Website
    10X AI with Julius Neil