Podcasts about ai revolution

The real estate landscape is evolving rapidly, and understanding current market dynamics is essential for success in 2026. Drawing from data in the 2025 NAR Buyer Seller Report and insights from Keeping Current Matters.The Changing Face of HomebuyersOne of the most significant trends is the declining participation of first-time buyers and the rising median age of purchasers. According to the 2025 NAR Buyer Seller Report, these demographic shifts require agents to rethink their marketing strategies. Rather than using a one-size-fits-all approach, successful agents in 2026 will segment their client base and create targeted campaigns that speak directly to different buyer personas.Understanding your clients' specific needs—whether they're downsizing empty-nesters, growing families, or investors—allows you to deliver more relevant, personalized service that resonates.Two Business Models, One ChoiceThe market presents agents with two distinct paths: the transactional model focused on volume, or the relational model centered on depth and long-term client relationships. As highlighted by Keeping Current Matters, agents who choose the relational path—investing in client education, community involvement, and trusted advisor status—often build more sustainable, fulfilling businesses.Equity as Wealth-Building ToolThe 2025 NAR Buyer Seller Report reinforces that homeownership remains one of the most effective wealth-building strategies. Helping clients understand how equity accumulation works, particularly in a market with inventory challenges, positions you as a valuable financial educator, not just a transaction facilitator.December 2025 Market SnapshotCurrent market conditions show interesting dynamics heading into 2026. While inventory remains constrained in many markets, buyer demand persists. Understanding these micro-market conditions allows agents to set realistic expectations and identify the best opportunities for clients.The AI Revolution in Real EstatePerhaps no trend will impact 2026 more than artificial intelligence. AI is transforming lead generation, client communication, and market analysis. Keeping Current Matters emphasizes that agents who embrace AI tools—for personalized marketing, predictive analytics, and automated follow-up systems—will have significant competitive advantages.However, technology should enhance, not replace, the human connection. The most successful agents will use AI to handle routine tasks while dedicating more time to high-value client interactions.Selling Community and LifestyleAccording to the 2025 NAR Buyer Seller Report, today's buyers and sellers aren't just transacting properties—they're making lifestyle decisions. They want agents who understand neighborhood dynamics, school districts, community amenities, and future development plans. Position yourself as a local market expert who sells lifestyle, not just square footage.Your 2026 Action PlanTo capitalize on these trends:Segment Your Database: Create specific marketing campaigns for different client types based on NAR demographic dataEmbrace AI Tools: Implement automation for lead nurturing while maintaining personal touchpointsBecome a Market Educator: Share insights from credible sources like the NAR Report and Keeping Current Matters to build authorityFocus on Relationships: Invest in client experiences that generate referrals and repeat businessMaster Your Local Market: Position yourself as the community expert who understands hyperlocal trendsThe Bottom LineThe 2026 real estate market offers tremendous opportunity for agents willing to adapt. By leveraging data from the 2025 NAR Buyer Seller Report, staying informed through resources like Keeping Current Matters, and strategically implementing AI tools, you can build a thriving business focused on serving clients at the highest level.

Solving the Unstructured Data Challenge: Preparing Manufacturing for the AI Revolution Industry 4.0 has illuminated the transformative impact of real-time shop floor data. However, vast repositories of historical engineering and supply chain data, traditionally confined to back-office systems, continue to be underutilized. To fully leverage the capabilities of AI, integration of these disparate data sources is imperative. This includes critical information residing in various forms, such as sensor readings, machine logs, customer feedback, and especially legacy 2D drawings, handwritten notes, and "tribal knowledge" trapped within the minds of experienced professionals. Traditional data processing methods often struggle to make sense of this hidden treasure, leading to inefficiencies, missed opportunities, and a hindrance to true digital transformation. American manufacturers are facing immense pressure, from intensifying global competition and economic uncertainty to skilled labor shortages and the impending retirement of senior engineers who hold decades of undocumented institutional knowledge. To thrive, manufacturers must unlock the full potential of their data and embrace the AI revolution. This webinar will delve into how manufacturing companies can overcome these pervasive unstructured data challenges and strategically prepare for an AI-driven future. Join us to discover how to transform fragmented data into actionable insights, enhance cross-functional collaboration, and drive unprecedented efficiency and innovation. What You'll Learn: The Criticality of Unstructured Data: Understand why traditional data processing methods fail to extract valuable insights from diverse unstructured sources, from drawings to machine logs. AI as a Game-Changer: Explore how Artificial Intelligence (AI), including machine learning and natural language processing (NLP), is emerging as a key enabler for structuring and utilizing unstructured data, augmenting human capabilities, and driving manufacturing evolution. Building a Data Foundation for AI: Discover how to digitize your entire archive of drawings, including old hand-drafted and scanned documents, and link them with crucial supply chain, quality, and procurement data to create a comprehensive "data lake". Democratizing Knowledge with AI-Powered Insights: Learn how advanced search capabilities, including patented similarity search (based on part shape) and keyword search, can empower all employees, from new hires to seasoned veterans, to instantly find relevant designs, pricing history, and supplier information, reducing reliance on individual memory or tedious manual searching. Achieving Tangible Business Outcomes: See how solving the unstructured data challenge directly leads to reduced costs, optimized supplier relationships, faster RFQ responses, improved design quality, accelerated time-to-market, and enhanced decision-making across procurement, engineering, and sales. Navigating the Future of Manufacturing: Gain insights into how embracing AI and a data-driven culture can position your organization at the forefront of the industrial revolution, fostering continuous improvement and sustainable growth. This webinar will provide practical strategies and real-world examples, demonstrating how transforming your data assets can create new value and drive long-term success. Meet Your Presenters: Chris Cope, VP of Engineering at CADDi: As VP of Engineering at CADDi, Chris will highlight strategies for leveraging AI to transform unstructured data and illuminate pathways for enhanced collaboration across engineering, procurement, and manufacturing teams. Aaron Lober, VP of Marketing at CADDi: Bringing deep expertise in the transformative power of manufacturing intelligence platforms, Aaron will highlight how cutting-edge technology directly addresses industry pain points and unlocks competitive advantages. Philip Carpenito, Former Chief Procurement Officer at L3Harris: As a leader in procurement for a major industrial organization, Philip will share invaluable insights into the strategic challenges and opportunities within complex supply chains, emphasizing the critical role of data-driven decision-making in optimizing procurement processes and supplier relationships. Don't miss this opportunity to revolutionize your approach to data and prepare your manufacturing operations for the AI revolution. Speakers: Chris Cope: VP of Engineering, CADDi | Aaron Lober: Vice President of Marketing, CADDi | Philip Carpenito: Former Chief Procurement Officer, L3Harris Sponsored by: CADDi Visit https://advancedmanufacturing.org/webinars for more webinars and an interactive experience with visuals.    

It is not an understatement to say that AI has revolutionized virtually every aspect of human life. What should characterize a Christian posture towards AI? Should we be concerned? Optimistic? How do we think biblically about it the emergence of new AI technology? In this unique episode, Sean is joined by three Biola/Talbot professors who are experts in their fields and in AI: Yohan Lee, Associate Dean of Technology and Professor of Computer Science; Michael Arena, Dean of Biola's Crowell School of Business; and Mihretu Guta, Professor of Philosophy and Apologetics. Mihretu P. Guta, Ph.D. (Philosophy at Durham University, UK). After completing his Ph.D., he worked as a Postdoctoral Research Fellow at Durham University within the Durham Emergence Project which was set up with cooperation between physicists and philosophers and funded by the John Templeton Foundation. Guta's postdoctoral research focused on the nature of the emergence of the phenomenal consciousness taken from the standpoint of metaphysics, philosophy of mind, cognitive neuroscience and quantum physics. Dr. Yohan Lee has led advanced technology organizations for over 20 years in commercial industry, education, and government. He has been privileged to serve as a civil scientist (U.S. National Institutes of Health), Principal Investigator (Google AI), Chief Science Officer (Riiid Labs, Inc.), and CEO (Scaled Entelechy, Inc). His undergraduate and doctoral studies were at UCLA in neuroscience and genomics with a focus on the neurological basis of learning and memory in addition to precision medicine. His doctoral work centered on large scale genomic data for health and distributed computing. In his corporate role, Dr. Lee has led research and business units in industry, public-private partnerships, the federal government, and international academic consortia for enterprise initiatives with Fortune 50 corporations. Michael Arena, Ph.D., is the dean of the Crowell School of Business at Biola University. He is also the chief science officer and co-founder of the Connected Commons, a research consortium that brings together business and academic thought leaders to develop and apply organizational network solutions. Prior to joining Biola, he served as the vice president of talent and development at Amazon Web Services (AWS), where he leveraged network analysis to enable employee growth, organizational culture and innovation. Arena was also the chief talent officer for General Motors Corporation where he helped to facilitate a business transformation, which is highlighted in his book Adaptive Space. Arena also spent two years as a visiting scientist with MIT's Media Lab researching human networks and acted as a design thinking coach within the Stanford School for three years. ==========Think Biblically: Conversations on Faith and Culture is a podcast from Talbot School of Theology at Biola University, which offers degrees both online and on campus in Southern California. Find all episodes of Think Biblically at: https://www.biola.edu/think-biblically. To submit comments, ask questions, or make suggestions on issues you'd like us to cover or guests you'd like us to have on the podcast, email us at thinkbiblically@biola.edu.

Guy Adami and Liz Thomas from SoFi discuss the impact of recent Federal Reserve decisions on the market. They analyze the Fed's dovish rate cuts and the implications of its plans to buy $40 billion in treasuries. The conversation shifts to the underperformance of Bitcoin despite expectations for a boost from the Fed's liquidity actions. They explore broader market trends, including the recent Empire Manufacturing Survey's dismal results, and upcoming significant economic data releases such as the unemployment rate and CPI numbers. The episode concludes with insights into the potential future of the AI revolution and its market implications for 2026. Timecodes 0:00 - Fed Speak & BTC 6:15 - Data Talk 13:20 - Jobs/Inflation 19:00 - AI Revolution —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Ehsan Ehsani is executive director at Crescendo Partners, adjunct assistant professor at Columbia Business School, and author of “How Not to Be Replaced by a Spreadsheet That Talks” who uniquely bridges quantitative analysis, and traditional fundamental investing while organizing Columbia's generative AI conference.The episode is sponsored by TenzingMEMO — the AI-powered market intelligence platform I use daily for smarter company analysis. Code BILLIONS gets you an extended trial + 10% off.https://www.tenzingmemo.com/3:00 - Born in western Iran at 14,000 feet, strict education emphasis pushed Ehsan toward chemical engineering before discovering his talents lay in management and innovation.5:30 - Winding path to NYC: Sweden and MIT master's degrees, European consulting, project-driven relocation to New York in late 2000s.7:30 - The Prometheus Warning: AI companies like Alphabet disrupted by their own creations. “Analysts benefit from using Gen AI tools in automating repetitive activities, but by embracing such technologies, they're working themselves out of a job.”12:00 - Sell-side blueprint: Top 10 banks had 200-300 analysts each; now 300 total combined. Buy-side headcount could drop to two-thirds or half within 20 years.18:00 - “Gen AI is transformative because it allows automation of not just repetitive tasks but core analytical functions”—fundamentally different disruption than Bloomberg or alt data.25:00 - Size advantage: Large firms will mine 15 years of institutional memory—emails, memos, channel checks—to identify patterns smaller funds can't access.35:00 - Contrarian take: Beyond “do more with less” hype, rapid bifurcation looms: “This separation of better and worse performance will happen much faster than with previous technologies.”45:00 - Next frontier: Voice/video training. CEO says “no” versus “no...”—transcripts miss hesitation that reveals truth.55:00 - “We humans tend to forget. It's a blessing in general, but for pieces of wisdom we read, they might not remain top of mind. AI can remind us.”60:00 - Success definition: “Tranquility and content where your values, interests, and priorities align with what you're doing. I didn't define it in economic form because that doesn't embody true success.”Podcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm's employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and unless otherwise stated, are not guaranteed.Information expressed does not take into account your specific situation or objectives, and is not intended as recommendations appropriate for any individual. Listeners are encouraged to seek advice from a qualified tax, legal, or investment adviser to determine whether any information presented may be suitable for their specific situation. Past performance is not indicative of future performance.

Nvidia's Jensen Huang and the AI Revolution: Colleague Brandon Weichert praises Nvidia's Jensen Huang as a pivotal geopolitical figure driving the AI revolution, comparing AI's growth to the railroad boom and predicting long-term economic benefits and massive opportunities for construction and energy sectors as the US builds infrastructure to support data centers. 1938

The AI revolution isn't replacing Java developers. No, it's forcing us to think harder.Welcome to another episode of the Foojay Podcast! Today, we're talking about AI and Java, how it's changing the way we work, what we need to watch out for, and why understanding what's really happening matters more than ever.I recorded interviews at Devoxx and JFall and spoke with people who build and use this technology every day.Marianne Hoornenborg opened my eyes to something important: every time an AI generates a token, there's a massive amount of computation happening behind the scenes.Viktor Gamov and Baruch Sadogursky did something really cool: they tested six different AI coding tools live on stage with the same task. The results were all over the place! But they found that the tools with access to good documentation performed much better.Stephen Chin showed me how graph databases can make AI responses more reliable by providing a solid source of truth rather than relying on vector search.Mario Fusco works on LangChain4J, a leading Java framework for AI. He explained that breaking down large tasks into smaller ones and using specialized agents can help reduce errors—hallucinations, as they're called.Jeroen Benckhuijsen and Martijn Dashorst shared their experiences working with enterprise Java. Even as frameworks are becoming lighter and we're running everything in containers, there are still complex problems that require real developer expertise.Maarten Mulders reminds us that AI is a tool, not a replacement—especially when you're solving problems no one has tackled before. You still need to know what you're doing.And finally, Simon Maple from Tessel discussed moving beyond vibe coding towards a more reliable, production-ready approach, using specifications to guide AI tools.00:00 Introduction of topics and guests02:12 Marianne Hoornenborg https://www.linkedin.com/in/mhoornenborg/The Simple Math behind AI The cost of tokens when using LLMs06:54 Viktor Gamov and Baruch Sadogursky https://www.linkedin.com/in/vikgamov/ https://www.linkedin.com/in/jbaruch/ Robocoders, about the many agentic tools that can be used for vibe coding https://context7.com/16:24 Stephen Chin https://www.linkedin.com/in/steveonjava/ Graph versus relational databases Explaining MCP and Agents23:09 Mario Fusco https://www.linkedin.com/in/mario-fusco-3467213/ AI and LangChain4j in Quarkus Coding tools with AI35:43 Jeroen Benckhuijsen https://www.linkedin.com/in/jeroenbenckhuijsen/ Java in business, Evolutions in Java Making use of containers and Kubernetes Learning from the community41:44 Martijn Dashorst https://www.linkedin.com/in/dashorst/ Investigating an OOM-killer in Kubernetes with the help of AI49:37 Maarten Mulders https://www.linkedin.com/in/mthmulders/How AI may impact our jobs How to improve your Maven builds 56:13 Simon Maple https://www.linkedin.com/in/simonmaple/ AI developer tool Tessl Spec-driven vibe coding Secure AI development01:02:12 Conclusion

Episode 83 with Sangeet Paul Choudary and Amber Phillips

Text us a question and we'll answer it on the podcast...Get

Text us a question and we'll answer it on the podcast...Get

In today's Cloud Wars Minute, I review the remarks and insights from CEO Marc Benioff and Salesforce from the recent Q3 earnings call.Highlights00:20 — After an approximately three-year hiatus, CEO Marc Benioff and Salesforce demonstrated their growth mojo through the Q3 numbers. While some of the numbers aren't quite as robust as they were in Salesforce's earlier days, in the earnings call, Benioff emphasized growth, innovation, and new things coming that are reflective of where the company was in the past.01:07 — In its first 22 years, Salesforce had unprecedented growth — 20 years of 20% or higher growth. No other publicly traded company has done that. In the last few years, with some pressure from institutional investors, Salesforce had to shift its focus from growth and innovation to margins and profits. During this time, the character of the company has evolved, especially with the AI Revolution and the introduction of Agentforce.01:55 — Something that struck me was the exuberance of CEO Marc Benioff on the call and his excitement about lots of numbers that indicated things are headed in the right direction. He shared details and commentary about their Q3 numbers as well as the vitality and energy around new products.02:58 — Benioff was proud of the stats around Agentforce customers moving into production. The number of those was up 70% sequentially quarter to quarter. This demonstrates how quickly Agentforce customers are able to deploy the technology, get it into use, and start getting the essential business outcomes.03:38 — This is important because the biggest winners are always the customers in the Cloud Wars because they get to benefit from the incredible competition. It further triggers waves of relentless innovation unlike anything the world has ever seen. Visit Cloud Wars for more.

We have gone through four industrial revolutions in the US, why does the AI revolution scare us the most? Industrial revolutions are nothing new in the United States as we have had four including the current one we are in. The first one came in the mid-18th century when changes came for waterpower, steam engines, and textile manufacturing. The second industrial revolution was in the mid-19th century when steel became a big factor along with electricity and mass production. We also saw transportation by railroads and automobiles during this revolution. The third industrial revolution came around the mid-1990s. Some of us who are 50 years or older may remember the effects. Electronics including personal computers, information technologies, and this scary thing called the World Wide Web were developed during this revolution. The fourth industrial revolution is happening now and it's scary because we don't know what the future holds. This revolution includes digital, physical, and biological technologies. This includes AI, the Internet of Things, and robotics as well. The reason this is scarier than the third revolution with personal computers was that people could see how they could benefit and get more done and maybe use that computer to start a web-based business. Currently with AI, people are not seeing how it will benefit or improve their lives but only how it could take away their livelihood by making their job obsolete. There could be a slowdown in the advancement of AI similar to what happened in the late 70s with nuclear power. People as a whole rejected nuclear power, and it has taken almost 50 years to be accepted as we can see in today's newspapers. Based on history, it looks like the acceptance of AI may slow down because polls show that just 40% of people said the AI industry could be trusted to do the right thing, and 57% say the government needs more regulation on tech and AI. Maybe your job is safe for longer than you thought.   Bitcoin holder Strategy should be getting nervous about the price of Bitcoin The public company Strategy, which used to be known as MicroStrategy and trades under the symbol MSTR, should be getting nervous about its 650,000 Bitcoins that are worth around $56 billion depending on the day. The problem is the company has about $8 billion of convertible bonds outstanding that require interest payments and about $7.6 billion of perpetual preferred stock that also pays dividends. The cost to pay the interest and these dividends is about $780 million annually and since all the company's assets are essentially in Bitcoin, they don't receive any interest or profits from that asset. The CEO, Michael Slayer, is saying if they must, they will sell Bitcoin to raise the cash to pay the dividends and interest payments. The convertible bonds could also be problematic down the road as they are due in about 4.4 years on average and come with a combined interest rate of 0.421%. The stock itself has been pulverized, and its market cap has been as low as $49 billion from a high of $128 billion in July. MSCI has proposed cutting digital asset treasury companies from its indexes if crypto tokens make up a major part of the assets. This decision will come in a little over a month on January 15th and if this happens, Strategy could see $2.8 billion in passive outflows. JPMorgan estimates that about $9 billion of the company's market cap is tied to passive and index ETFs and mutual funds. This could put more pressure on the stock if more indexes also decide to remove these treasury companies. You won't believe how the company makes their profit and loss statement. When the price of Bitcoin rises, the company books a paper profit even if it did not sell any Bitcoin. Obviously, if Bitcoin goes down in value, they must book the losses as well. One must love the estimates for the earnings of Strategy for 2025.  Strategy is expected to report a loss of $5.5 billion or a profit of $6.3 billion or something in between. That is some great guidance! I don't know where Bitcoin is going today, tomorrow or anytime in the future, but I would be sweating bullets if I held Bitcoin or Strategy in my clients' portfolios or my portfolio!   Holiday shopping hits record levels! We continue to see conflicting data when it comes to the health of the consumer. They continue to say they don't feel good, but the hard data and the actual numbers remain quite strong. In a positive note from the National Retail Federation (NRF), an estimated 202.9 million consumers shopped during the five-day stretch from Thanksgiving Day through Cyber Monday. That is the largest turnout since data for the five-day period started being collected in 2017, and it easily tops last year's level of 197 million shoppers. Expectations for the period were also quite low considering the estimate was for just 186.9 million shoppers. While online shoppers increased 9% year over year to 134.9 million people, in-store shoppers still saw a nice increase of 3% to 129.5 million people. Adobe also provided sales data for the five-day period that indicated consumers spent $44.2 billion online, which was a 7.7% year-over-year jump. Black Friday in particular saw strong online sales as they totaled $11.8 billion and grew by 9.1% year over year. A big question here is if the shopping was done to capitalize on deals in an attempt to save money. That could be an indicator of a weaker economy, but I don't believe that's the full story as shoppers told NRF at the end of Cyber Monday that they had about 53% of their holiday shopping remaining, which was similar to a year ago. For the full holiday season, the NRF expects record sales of between $1.1 trillion and $1.2 trillion from Nov. 1 through Dec. 31. This would be the first time sales would top $1 trillion, and it would represent a 3.7% to 4.2% increase from the year-ago holiday period.    Financial Planning: When Tax-Loss Harvesting Makes Sense and When It Doesn't Tax-loss harvesting is often promoted as a smart tax-saving strategy, but investors should understand its pitfalls before hitting the sell button. Selling a position at a loss may reduce taxes today, but it could also mean missing a rebound in that investment potentially costing more in lost gains than the tax benefit received. For example, if an investor buys a stock for $50,000 and harvests a $5,000 loss when the investment drops to $45,000, and they are in a 24.3% combined tax bracket (15% federal + 9.3% state), the tax savings is just over $1,200. That means the investment only needs to rise 2.7% to wipe out the benefit of harvesting, something that could easily occur during the required 30-day wash-sale waiting period. Even if the position doesn't rebound, repurchasing after 31 days locks in a lower cost basis, potentially increasing future taxable gains possibly in a higher tax bracket. Many investors, especially retirees with lower taxable income, are already in the 0% long-term capital gains bracket, meaning losses may not even be needed; a married couple in retirement could have income near $150,000 and still realize long-term gains tax-free. Tax-loss harvesting can still be valuable when losses are large in percentage terms, when it helps avoid a higher tax bracket or IRMAA surcharges, when offsetting short-term gains (which long-term losses can do), or when exiting a position you don't plan to repurchase.   Companies Discussed: Weyerhaeuser Company (WY), Netflix, Inc. (NFLX), Energizer Holdings, Inc. (ENR) & Valvoline Inc. (VVV)

From trillion-dollar tech giants to flooded streets: Why Africa's analog problems are blocking AI adoption - and the brutal truth about communication, humanoid robots, and the digital divide that will determine who survives the next decade. In this explosive episode of Konnected Minds, a transformative conversation dismantles the dangerous illusion keeping African businesses and governments trapped in yesterday's solutions while the world races toward AI-driven futures. This isn't tech hype from Silicon Valley cheerleaders - it's a systematic breakdown of why mobile money succeeded while AI governance fails, why your 21-year-old content team understands the future better than CEOs, and why the humanoid robot revolution isn't coming - it's already here, and most of Africa is completely unprepared. Critical revelations include: • Why Africa is left behind: we still have analog problems - flooded streets mean you can't think about humanoid robots taking waitress jobs • The leapfrog principle: if we solve our analog problems, we'll have to leapfrog into AI solutions immediately • Why the average age of effective AI content teams is 21 - and people slightly above our age will struggle as parents, CEOs, and industry leaders • The COVID pivot reality: if 2020 was when you decided to move your business online, you were late - businesses and churches didn't survive • How Trump put tech giants in a meeting for governance conversations that aren't happening across most of Africa • The disaster management failure: drones with lidar technology could find flood victims without waiting for water to dry, but we're not using them • Why mobile money is West Africa's unicorn success - it works, it's efficient, your 70-year-old mom can use it without walking to banks • The communication principle: over 80% of all communication is nonverbal - your body language gives you up even when words lie. The conversation reaches its uncomfortable peak with a truth that destroys national pride: we pitched AI solutions for digital kidnapping protection six years ago and got no response. Now we're celebrating cyber security awareness when we're already six years late. Meanwhile, the developed world runs AI governance forums twice a year minimum, and the richest man in the world is building around these systems while we debate whether our streets are too flooded to think about the future. From understanding that communication is the bedrock of all societies - the transfer of information, ideas, concepts, emotions, and meaning - to recognizing that public speaking is giving structured presentations to inform, persuade, or inspire, to accepting that effective communication is what separates value from noise amplification - this episode proves that the future belongs to those who can communicate human connection in an AI-dominated world. The robot can give you a painless injection, but it can't play with your child to calm them down before the needle. The doctor who knows how to communicate with kids will always have value. The question is: are you building skills AI can't replicate, or are you about to become obsolete? For the African entrepreneur, government leader, and parent seeking to survive the AI revolution instead of becoming another casualty of digital disruption, this conversation offers the unfiltered blueprint: solve your analog problems so you can leapfrog into digital solutions. Build teams with people under 25 who understand the future. Stop confusing branding with empty packaging. Master communication - the transfer of meaning and emotion that AI will never replicate. And remember - if mobile money works for your 70-year-old mother, there are dozens of other digital realities we can plug in to make life better. The only question is whether we'll do it before we're another decade behind. Host: Derrick Abaitey IG: https://www.instagram.com/derrick.abaitey YT: https://www.youtube.com/@DerrickAbaitey Join Konnected Academy: https://konnectedacademy.com/ Listen to the podcast on: Apple Podcast - http://tinyurl.com/4ttwbdxe Spotify - http://tinyurl.com/3he8hjfp Join this channel: /@konnectedminds FOLLOW ► https://linktr.ee/konnectedminds #Podcast #businesspodcast #AfricanPodcast

In this episode of DisrupTV, hosts Vala Afshar and R “Ray” Wang sit down with three leaders shaping the next era of AI, intelligence, and personal branding. Benji Hutchinson, CEO of Babel Street, breaks down the world of mission-grade risk intelligence—how it's used in national security, why dual-use AI matters, and why fewer than 30% of Fortune 2000 companies truly understand it. Mukund Gopalan, Global Chief Data Officer at Ingram Micro and AI150 executive, shares how the company is building an “AI factory” to industrialize intelligence, improve data quality, empower employees, and drive real business transformation. Goldie Chan, branding strategist and author of Personal Branding for Introverts, reveals why introverts have unique leadership superpowers and walks through her signature 5Cs framework for building an authentic and sustainable personal brand. If you're interested in AI, cybersecurity, enterprise transformation, or modern leadership, this is an episode you won't want to miss.

See omnystudio.com/listener for privacy information.

You're probably using AI agents without even knowing it.

Stanford professor and Kumo.ai co-founder Jure Leskovec introduces the concept of a relational foundation model for structured enterprise data. Subscribe to the Gradient Flow Newsletter

John Tasioulas examines how a classical conception of democracy – distinct from liberal democracy – may offer the resources needed to meet the challenges posed by Artificial Intelligence. Read by Leighton Pugh. Image: Rudolph Müller, View of the Acropolis from the Pynx (1863). Credit: Eraza Collection

Josh is joined by education leader Jeffrey C. Riley, the Co-founder and Executive Director of Day of AI—the MIT-born nonprofit spearheading the Responsible AI for America's Youth campaign. Riley, the former Massachusetts Commissioner of Elementary and Secondary Education and former Superintendent/Receiver of the Lawrence Public Schools, shares his no-nonsense perspective. Through the work of the […]

In this Cloud Wars Live podcast, Bob Evans sits down with Hayete Gallot, President, Google Cloud Customer Experience, to explore how Google Cloud is helping enterprises move from AI experimentation to true business transformation. Gallot describes how her organization unifies engineering, consulting, partners, and learning to accelerate time-to-value and scale agentic AI across every function. Together, they dive into Gemini Enterprise, customer successes like Virgin Voyages, and why human-centered change is the real key to AI's future.The AI Turning PointThe Big Themes:Customer Experience Built for the AI Era: Google Cloud created a new Customer Experience organization, led by Hayete Gallot, to match the speed and complexity of AI-driven transformation. Instead of treating AI as a pure technology play, the team unifies industry and solutions experts, customer engineers, consulting, partners, and learning into one group that supports the full innovation lifecycle. That means they can help customers go from idea to minimum viable product to production in a consistent, repeatable way.Ecosystem, Partners, and Curated AI Solutions: Google Cloud's ecosystem strategy is central to scaling AI transformation. Gallot describes deep investment in system integrators — not just training them on technology, but sharing methodologies and scenario-based approaches so they can guide customers toward the right AI choices. At the same time, Google Cloud works with top ISVs to embed AI into their solutions and create compatible protocols for multi-agent experiences.Structuring Tech Teams for Agentic Transformation: AI's rise is forcing technology organizations to evolve. Gallot notes that CTOs and CIOs are asking how to restructure their teams for an “agentic” world. The demand is no longer just for deep technical skills, but also people who understand user experience, behavior, and business workflows. Technology teams are increasingly expected to co-design scenarios with business leaders, not just implement requirements. Looking ahead to 2026, Gallot sees the priority as scaling agentic transformation across divisions.The Big Quote: "Customers are much more mature on AI … When you meet with them, they're [asking] what's in it for me? What am I going to get? When am I going to get it? How do I scale this? They want production, and they want outcome." Visit Cloud Wars for more.

As a Hollywood screenwriter Michael Ashley sold the hit Halloween movie Girl Vs Monster to Disney—which launched a successful kids' toy line. Before this, he worked in development for the head of the literary department at Creative Artists Agency (CAA), the biggest talent agency in the world. Pivoting to literary publishing, he now owns and operates a creative content agency, turning his clients thought leaders by writing their books, articles, and speeches.Michael has co-written 5 books on AI, including Own the AI Revolution, published by McGraw Hill and Neuromined: Triumphing Over Tyranny, named best technology book of the year by Indie Awards. The creator of The AI Philosopher podcast/Substack, Michael serves as a Forbes columnist on AI. His writing has been featured in Fox Sports, Entertainment Weekly, the United Nations' ITU News, and Yahoo! Finance. Michael also helps companies make the leap to AI by providing hands-on integration. If you want to literally touch grass we mention Travis Johnson's company in this episode:https://www.northwestsurvivalschool.com/

join wall-e's tech briefing for tuesday, december 2nd, as we explore the latest advances and challenges in the tech world: nvidia's ai advancements: unveiling alpamayo-r1, a new vision language model at the neurips ai conference, paving the way for level 4 autonomous driving by processing text and images concurrently. apple's leadership shake-up: amar subramanya steps in as apple's new ai chief following john giannandrea's departure, marking a shift in apple's ai strategy amidst competitive pressures. nvidia and synopsys partnership: a $2 billion investment to enhance chip design software, transitioning focus from cpu to gpu-based workflows in the face of an evolving chip design landscape. data center energy demand surge: bloombergnef report forecasts a 300% increase by 2035, driven by ai and data processing needs, highlighting significant shifts in energy investments. shopify's cyber monday outage: a critical disruption in login authentication affects merchants during peak shopping hours, emphasizing digital commerce vulnerabilities. stay tuned for tomorrow's updates!

In this special Cloud Wars report, Bob Evans sits down with Michael Ameling, President and Chief Product Officer of SAP Business Technology Platform, for a deep dive into how SAP is helping customers navigate the fast-moving AI Era. Ameling and Evans discuss how SAP's Business Data Cloud, partnerships with Snowflake and Databricks, HANA Cloud innovations, and new AI-powered tools and agents are helping SAP evolve from an applications powerhouse into a data-and-AI-driven business platform for the next generation.SAP's AI Data FutureThe Big Themes:SAP HANA Cloud Becomes an AI-Optimized Database: SAP HANA Cloud is evolving into “the database AI was looking for." As a multi-model system supporting spatial, graph, vector, and document storage, HANA Cloud enables AI workloads to run more efficiently and contextually. Recent additions, like vector engines and Knowledge Graph capabilities, give customers powerful tools for retrieval-augmented generation (RAG), contextual reasoning, and advanced analytics.Developers Are 'The AI Revolution': Developers aren't observing the AI Revolution, they are the revolution. With modern AI tools, developers can innovate faster, solve bigger problems, and directly influence business outcomes. SAP is investing heavily in meeting developers where they are by enhancing IDEs, building business-aware development tools, and providing context-rich assets such as APIs, business objects, and process insights. AI acts as a teammate, not a replacement.SAP: An Applications and a Data Company: SAP must be both an applications and a data company. Customer value emerges when applications, data, and AI converge seamlessly. SAP's decades of industry expertise give it unparalleled business context, which becomes even more powerful when embedded into AI agents and data platforms. With more than 34,000 SAP HANA Cloud customers and rapidly expanding AI adoption, SAP is positioning itself as the platform where business process knowledge meets modern AI capability.The Big Quote: " . . what we need to understand that AI is our teammate. It's like asking your best friend who has a lot of knowledge, but you can ask multiple friends at the same time. Not everything is always right, but you can ask questions, you can continuously improve. If we understand that pattern, we understand that AI helps us to solve much bigger problems as a developer, and then, of course, having much more impact on real business."More from Michael Ameling and SAP:Connect with Michael Ameling on LinkedIn, or get more insights from SAP TechEd.  Visit Cloud Wars for more.

In this episode, we are joined by Alex Zarifeh, founder of ATLP Futures Readiness, who is helping young people AND adults navigate the AI Revolution. We discuss the profound societal changes brought about by technology, emphasising the need for critical exploration of these changes. Alex highlights the alarming statistics regarding AI usage among young adults, particularly in the context of relationships, and critiques the current safeguarding measures as insufficient. We get into the how of helping young people navigate these complexities and prepare for futures (plural!)Chapters00:00 Welcome and Introductions02:42 Alex Zarifeh's Educational Journey04:37 The Impact of AI on Education09:12 Bridging the Gap between School and Work Experience12:22 Navigating AI's Role in Young Lives18:02 The Need for Educational Reform21:18 Leadership Challenges in Education28:45 The Challenge of Engagement in Learning35:10 Misinformation and Disinformation41:46 Critical Thinking with AI53:05 Not Just Maintaining TraditionConnect with AlexSign up for Futures ReadinessCONTENT PARTNER AD: This episode is powered by Integrated Systems Europe, the must-attend event for educators, technologists, and institutional leaders seeking to shape the future of learning. From 3–6 February 2026, ISE returns to Barcelona, uniting the brightest minds and boldest ideas in the edtech industry. Join us and Push Beyond the possibilities that are transforming the classroom of tomorrow. Don't just keep up with the industry - get ahead of it. Check out the website to find out more and join us for ISE 2026 in Push Beyond. Use our special code 'edufuturists' for free registration hereThanks so much for joining us again for another episode - we appreciate you.Ben & Steve xChampioning those who are making the future of education a reality.Follow us on XFollow us on LinkedInWant to sponsor future episodes or get involved with the Edufuturists work?Get in touchGet your tickets for Edufuturists Uprising 2026

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In this Holiday Week edition of The Wright Report, Bryan covers new investigations into the lawmakers known as the Seditious Six, breaking developments in the Charlie Kirk assassination case, President Trump's sweeping order to re-interview every refugee approved under Joe Biden, and a deep dive into the global AI Revolution. He also closes with listener questions, warnings about AI addiction, and early holiday shipping advice. FBI and Pentagon Probe the Seditious Six: Federal investigators are reviewing six Democratic lawmakers who urged military and intelligence personnel to resist hypothetical unlawful orders from President Trump. Senator Mark Kelly is under Pentagon scrutiny that could result in recall or charges as soon as December 10. Bryan explains how such calls create a culture of insubordination and how similar movements in countries like Pakistan and Egypt eventually led to military dominance over civilian government. Security Failures in the Charlie Kirk Assassination: New reporting shows that Charlie Kirk's head of security, Brian Harpole, flagged rooftop vulnerabilities on the Utah campus but accepted a vague assurance from the university police chief, who replied, "I got you covered." Bryan argues that professional security teams never outsource responsibility to campus police, outlining how Harpole should have pressed for plans, deployed his own team, or pulled Kirk from the event. An official investigation is ongoing, but Bryan says the early facts reveal basic failures that contributed to a preventable tragedy. Trump Orders Review of All Biden-Era Refugees: Bloomberg reports that all 200,000 refugees admitted under the Biden administration will be re-interviewed and reconsidered for green card eligibility. Those found to have been approved improperly will have their status revoked with limited appeals. Democrats plan to sue, although the White House cites widespread failures in vetting under Biden. Listener questions lead Bryan to explain why proper vetting was not possible — from fake IDs and nonfunctional federal databases to the absence of cultural fit screening. A Nation of Immigrants, but Not Without Standards: Bryan contrasts historical immigration patterns, which centered on European migrants who shared language and cultural norms, with modern arrivals from countries whose governments cannot verify identities or criminal history. He argues that America must re-embrace expectations of assimilation, loyalty, and work, echoing Theodore Roosevelt's warning about divided identities. China's AI Factories and the New Industrial Revolution: The Wall Street Journal reports that China is using AI-infused robots and fully automated "dark factories" to produce goods faster and cheaper with minimal human labor. Bryan answers a listener's question about AI bubbles and universal basic income, explaining why he believes AI will reduce the need for human workers, reshape immigration policy, and create a divide between nations that benefit and those that collapse under labor displacement. He warns that American tech companies are pursuing highly addictive chatbots designed for engagement rather than accuracy, creating what he calls "virtual heroin" for vulnerable users. U.S. Cargo Shortage Before Christmas: Bloomberg reports that UPS and FedEx have grounded portions of their fleets after an MD-11 crash in Louisville. UPS has lost about 10% of its cargo aircraft, and FedEx about 5%. Bryan advises listeners to order holiday gifts early to avoid potential delays.   "And you shall know the truth, and the truth shall make you free." - John 8:32   Put a smile on your face and give joy to your taste buds… Give Masa and Vandy beef tallow chips a try today! Use code WRIGHT for 25% off your first order… at MASAchips.com or VandyCrisps.com. So incredibly delicious! I promise, you won't be disappointed.     Keywords: Seditious Six investigation, Mark Kelly Pentagon review, Elissa Slotkin unlawful orders video, Charlie Kirk assassination security, Brian Harpole campus police Utah, Trump refugee re-interview order, Biden refugee vetting failures, immigrant cultural fit Roosevelt quote, China dark factories AI robots, AI addiction chatbot engagement, UPS FedEx MD 11 grounding

Wedbush analyst Dan Ives views Nvidia (NVDA) as "the foundation for the AI Revolution," with "the Godfather of AI Jensen having the best perch and vantage point to discuss overall enterprise AI demand and appetite for Nvidia's AI chips looking forward. He speaks with Bloomberg's Tom Keene and Paul SweeneySee omnystudio.com/listener for privacy information.

Kunstig intelligens blev i starten af dette årti præsenteret med store visioner og løfter om en eksplosion i vækst. Men nu advarer mange om en kolossal boble i markedet, og opmærksomheden rettes mod værdisætningen på virksomheder, der satser på den nye teknologi. Uroen på aktiemarkederne bestyrker de bange anelser, så hvad er det der foregår? Gæst: Ulrik Bie, Berlingskes økonomiske redaktør Vært: Anne Sofie AllarpSee omnystudio.com/listener for privacy information.

In Part 2 of our look back at the Industrial Revolution, we examine the impact on the economy and workers, discuss how economists at the time, even as far back as 1830, were justifying the scale of job losses, and comparing that to the impact AI is having today. It's part history, part future predictions, and all super fascinating and often troubling. And don't forget to go back and listen to Part 1 in last week's episode for the history and context of how massive a shift the Industrial Revolution was. Join the discussion on Reddit: https://www.reddit.com/r/AcceptanceCriteria/ And on the Discord: https://discord.gg/2Tyj8H9MFF The post E061: Myths about the economy the AI Revolution is rejecting first appeared on Acceptance Criteria.

In today's Cloud Wars Agent and Copilot Minute, I break down why this Microsoft-Anthropic-NVIDIA trio, spotlighted at Microsoft Ignite, may define the next phase of the AI Revolution.Highlights00:19 — Today, I want focus on a particularly significant partnership involving not one but three partners, collaborating in multiple ways across various fronts. The companies are Microsoft, of course, Anthropic, and NVIDIA. The trio is set to establish new strategic partnerships that, in my view, truly optimize the unprecedented era of collaboration that we're in01:02 — Anthropic has committed to a $30 billion deal to purchase Azure compute capacity. Microsoft customers will have access to Anthropic Claude Sonnet, 4.5; Claude Opus 4.1; and Claude Haiku 4.5 models. NVIDIA and Anthropic will collaborate on the design and development required to further optimize Anthropic AI models.01:48 — In terms of hard-dollar investments in Anthropic, NVIDIA is committing up to $10 billion, while Microsoft is committing up to $5 billion. Now, I find this whole announcement particularly exciting. These two giants — Microsoft and NVIDIA — are directly investing in the technological and financial future of Anthropic. However, it's far from one-sided, as both are also selling their products to Anthropic. Visit Cloud Wars for more.

Tyler Smith is an EOS Implementer helping companies reach goals and drive for the future.  Today he joins the show to talk about AI and the revolutionary changes that are taking place at a breakneck pace.  Our conversation sheds light on the new uses of Artificial Intelligence in all aspects of life. For those of you who are frightened by AI, this podcast will both inspire and scare you.  But if you listen closely to Tyler's message, you will find that we are at an exciting crossroad.  And Jewish life is ready for the moment. Have a listen...and Wake Up To Life.   Edited by: Alex Wolf Original Music Composed by: Dan Hacker   Facebook: https://www.facebook.com/templeisraelmi  Instagram: https://www.instagram.com/templeisraelmi/  YouTube: https://www.youtube.com/playlist?list=PLn9spWvsCBvcQ-o5XLeFLHKcLoj2nBAfM  Web: https://www.temple-israel.org/wakinguptolifepod  You can get this podcast anywhere you get your media.  Join over 10,000 listeners who have been inspired by the show. And if you have someone with a story to tell, please contact me at josh@temple-israel.org

Jeannette Linfoot speaks with Fergal O'Connor, the highly competitive founder and CEO of Buymedia, one of the fastest-growing companies in Ireland. In this episode, Fergal shares how Buymedia is continuing its rapid growth, recently launching into the UK market as part of its mission to transform the global advertising landscape. Fergal explains how he is democratising the advertising world for small and medium enterprises (SMEs) by leveraging AI to ensure every pound of ad spend delivers real business results. He opens up about his story, his deep competitive drive, and his unexpectedly shy nature. Fergal explains why: Revenues and customers will solve most of the business problems. You can go fast by yourself, but you can't go far unless you have a high-energy team around you. Why asking “Please tell me where my baby is ugly" to find what is wrong with your product or process early will help you solve it. You shouldn't be afraid to share your ideas with mentors, as people are generally too busy with their own work to steal them . Timestamps: 0:00 Introduction: Meet Fergal O'Connor, Founder and CEO of Buymedia 0:59 Transforming the Global Advertising Landscape (Buymedia's Mission) 4:58 Democratising Ad Spend for Small and Medium Enterprises (SMEs) 12:21 Revenues and Customers Will Solve Most Business Problems 26:11 You Need a High-Energy Team to Go Far 53:40 Why You Shouldn't Fear Sharing Ideas with Mentors 1:05:01 Conclusion and Final Resources (Visit Brave Bold Brilliant) Subscribe to Brave Bold Brilliant for weekly wisdom on leadership, legacy, and living boldly. Let's make your next move your bravest yet. CONNECT WITH JEANNETTE: Jeannette's linktree - ⁠https://linktr.ee/JLinfoot⁠ ⁠https://www.jeannettelinfootassociates.com/⁠ YOUTUBE - ⁠https://www.youtube.com/@braveboldbrilliant⁠ LinkedIn - ⁠https://uk.linkedin.com/in/jeannettelinfoot⁠ Facebook - ⁠https://www.facebook.com/jeannette.linfoot/⁠ Instagram - ⁠https://www.instagram.com/jeannette.linfoot/⁠ Tiktok - ⁠https://www.tiktok.com/@brave.bold.brilliant⁠ VALUABLE RESOURCES Brave Bold Brilliant - ⁠https://brave-bold-brilliant.com/⁠ Brave, Bold, Brilliant podcast series - ⁠https://podcasts.apple.com/gb/podcast/brave-bold-brilliant-podcast/id1524278970⁠ ABOUT THE HOST Jeannette Linfoot is a highly regarded senior executive, property investor, board advisor, and business mentor with over 30 years of global professional business experience across the travel, leisure, hospitality, and property sectors. Having bought, ran, and sold businesses all over the world, Jeannette now has a portfolio of her own businesses and also advises and mentors other business leaders to drive forward their strategies as well as their own personal development. ABOUT THE GUEST Fergal O'Connor is the Founder & CEO of Buymedia, one of Ireland's fastest-growing advertising technology companies, now expanding rapidly across the UK. With over 20 years of experience in the media and marketing industry, Fergal has worked across print, radio, television, and digital, giving him a uniquely comprehensive understanding of how businesses can maximise their advertising impact. Website: https://buymedia.ai/ie LinkedIn: https://www.linkedin.com/company/buymediahq/?originalSubdomain=ie Instagram:  https://www.instagram.com/buymediahq/ Podcast Description Jeannette Linfoot talks to incredible people about their experiences in business and life, gaining first hand insight into how they unleashed their potential to become Brave Bold Brilliant. From the boardroom tables of big international businesses to the exciting world of entrepreneurs it's all about stepping up to the next level while staying true to yourself.

Artificial intelligence is evolving at lightning speed, but how do you separate innovation from the hype? And what does any of this mean for your daily life, your privacy, and your investment decisions? In this episode, we break down the biggest AI breakthroughs since our last update and explore how everyday people can use chatbots without feeling overwhelmed. We cover simple AI use cases, the strategies that make AI far more powerful, and the biggest risks to watch out for when using AI casually, especially around privacy and financial tools. We also dig into the headlines about AI stocks, sky-high valuations, and whether we're entering bubble territory…or just seeing noise. You'll learn what's trustworthy, what's exaggerated, and how to stay grounded when markets get loud. We discuss: The most important AI breakthroughs since our last update: -AI's current "superpower"  -Practical ways to use chatbots in daily life -Frameworks for going beyond basic prompts -The biggest risks of using AI casually (and how to avoid them) -How to tell whether AI-powered financial tools are trustworthy -What to know about privacy when using chatbots or AI assistants -Whether AI stocks are entering bubble territory: what's valid and what's noise If you're curious about using AI to improve your life and want to understand today's market environment, this episode will ground you in what matters most. For questions, comments, or feedback, email us at askcreatingwealth@taberasset.com. Be sure to subscribe and leave a review to stay updated on future episodes. Related Episodes May 2025 AI Update, Part One May 2025 AI Update, Part Two 2024 - Navigating the AI Revolution: Insights for Investors and Workers, Part One 2024 - Navigating the AI Revolution: Insights for Investors and Workers, Part Two 2023 - Are You Prepared for the AI Revolution?

Nvidia's earnings become a global Super Bowl as markets brace for either a surge or a correction. The panel breaks down Jensen's guidance, supply demand frenzy, AI bubble fears, Cisco déjà vu, and why Nvidia's fate could drag the entire market with it.

Are you feeling the tension between staying authentic and using AI tools in your leadership? You're not alone. Many executives are grappling with this exact challenge, and the stakes have never been higher. What happens when the biggest threat to authentic leadership isn't AI itself, but how we choose to use it? Communication expert Allison Shapira has spent years helping executives find their voice in moments that matter most. Now she's tackling the question keeping leaders up at night: How do you stay human when the tools you're using aren't? Her new book, AI for the Authentic Leader, isn't about becoming an AI expert—it's about alignment, presence, and whether the future of leadership will amplify our humanity or quietly erase it. In this conversation, Allison reveals where most leaders are already falling out of alignment without realizing it. She shares why vocal fry in AI assistants could literally program weakness into future voices, and explains the critical mistake executives make with AI that actually undermines their credibility. Find out more about Allison on her website. Here are 5 key insights you can expect from this episode on balancing human connection and AI efficiency: The AI Authenticity Loop framework - Why the human isn't just "in the loop" but is the loop, and how this mindset shift changes everything. The "Why You?" question - A powerful tool for finding your authentic voice before crafting any message or entering any high-stakes conversation. Value-centered AI alignment - How to use AI tools to amplify your best authentic self rather than outsourcing your voice entirely. The vocal fry warning - Why AI voice assistants are programming vocal weakness into future generations and what leaders can do about it. Practical boundaries for AI use - A simple test to determine when AI assistance is appropriate and when human-only effort demonstrates true value. If you've ever wondered whether you can use AI tools without losing your authentic voice, this episode will change how you think about both technology and leadership. The future belongs to leaders who can harness AI while staying deeply human—and this conversation shows you exactly how to do it. 00:01:30AI and Authentic Leadership Introduction 00:03:02Finding Your Voice Through Travel 00:05:54Using AI to Amplify, Not Replace Your Voice 00:10:07The Critical Importance of Alignment 00:15:20Public Speaking as Leadership 00:18:03Finding Your Authentic Voice with "Why You" 00:22:20Overcoming AI Fear and Resistance 00:26:31AI's Dangerous Vocal Programming 00:31:19Maintaining Authenticity with AI Tools 00:35:13Building Confidence in the AI Era 00:40:41Connecting with Allison and Resources Connect with us: https://www.aworldofdifferencepodcast.com Linkedin YouTube Substack FaceBook Instagram Threads Patreon (for exclusive episodes just for Difference Makers) Bluesky TikTok Subscribe to the podcast, leave a review, and share this episode with someone who might need to hear it. Your support helps the community grow and keeps these important conversations going. If you need professional help, such as therapy: https://www.betterhelp.com/difference If you are looking for your next opportunity, sign up for Lori's Masterclass on Master the Career Pivot: https://www.loriadamsbrown.com/careerpivot Difference Makers who are podcast listeners get 10% offf with the code: DIFFERENT Get 50% off your first 2 months with Riverside: https://riverside.cello.so/ErHyXrgXYn3 Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's Cloud Wars Minute, I discuss Workday's acquisition of the enterprise knowledge and learning platform provider Sana, and what it means for customers.Highlights0:05 — Now,the understanding of the capabilities of LLMs has seeped from discussions among in-the-know business leaders into the general public. Personally, I don't know anyone who hasn't tried ChatGPT at least once. However, when it comes to leveraging LLMs and their associated technologies in a business context, it all comes down to the data that you can provide.0:34 — Essentially, it's about making internal knowledge useful. This combination of business data and LLMs is the golden ticket for companies that want to thrive in the AI Revolution. There are some standout examples of companies making that possible. One such company is Sana. Now, Workday has announced that it has completed its acquisition of Sana.01:17 — Gerrit Kazmaier, President Product & Technology at Workday, explained: "By bringing Sana's leading enterprise knowledge and learning to Workday, we're creating a single intelligent interface...We're unlocking a new era of productivity, focus and flow across our customers, organizations with a complete AI solution for the next generation enterprise."01:46 — Kazmaier is describing the combination of Sana's enterprise knowledge tools and Workday's unified cloud platform and formidable partner ecosystem. The vision is to create what Workday calls a "horizontal intelligence layer" across the enterprise. Within this layer, users will have access to deeply personalized experiences.02:34 — Now, as I've discussed many times before, cutting through the noise to identify the specific features, capabilities, data, sources and outcomes that a user needs is essential for thriving in this increasingly competitive, AI-enabled business environment. Visit Cloud Wars for more.

Thursday Headlines: Australia accused of censoring US citizens, Tropical Cyclone Fina is heading toward the NT, calls for governments to step up action to fight chips and soft drinks, The Louvre announces 100 new security cameras, and Amyl and The Sniffers clean up at the ARIAs! Deep Dive: AI anxiety is fuelled by warnings that artificial intelligence could replace jobs, upend industries, and even surpass human control within decades. So how seriously should we take these risks, and which human skills will matter most in a future shaped by rapidly advancing AI? In this episode of The Briefing, Helen Smith chats with UNSW AI Institute chief scientist Toby Walsh to break down how worried we should be and what we can do to stay future-proof in an AI-driven world. Follow The Briefing: TikTok: @thebriefingpodInstagram: @thebriefingpodcast YouTube: @TheBriefingPodcastFacebook: @LiSTNR Newsroom See omnystudio.com/listener for privacy information.

Send us a textIn this episode, we're joined by a very special guest, Rebecca Shostak, co-founder of Flodesk and lifelong designer-turned-entrepreneur. This conversation is packed with insights into how creativity, design thinking, and intentional decision-making can shape not just a project but an entire company. We also go deep into AI, the fears, the opportunities, and what it looks like to use it as a tool that supports creativity rather than replaces it. Rebbeca shares how she went from designing merch for top artists to identifying a massive gap in the email-marketing world…and eventually building one of the most beloved design-forward platforms in the industry. We talk about the early days, the years of customer feedback that planted the seeds for Flodesk, and what it really took to go from idea to product without outside funding. We also dig into the emotional and practical realities of creative entrepreneurship: learning to let go of control, hiring before you feel ready, defining roles within your team, and understanding your own strengths as your business grows. All that and more when you listen to this episode:Rebecca's path from merch designer to co-founding FlodeskHow growing up around entrepreneurs shaped her mindsetThe importance of validating ideas through honest conversations Why intentionality is the foundation of good designThe shift from being the designer to leading a creative teamHow to hire well and why doing the work yourself first mattersCreative risks that paid off Why AI can't replace creativity, and what it can free up time forHow creatives can use email marketing even without a product to sell Building thought leadership and connection through emailThe future of work, creativity, and the new wave of toolsConnect with Rebecca Shostak, Co-Founder of FlodeskTry Flodesk for Free: https://flodesk.com/c/GOODTYPERebecca's Instagram: https://www.instagram.com/rebecca.shostak/Flodesk's Instagram: https://www.instagram.com/flodesk/Mentioned in this episode:Flodesk https://flodesk.com/c/GOODTYPE (unlimited plan ends soon!)Canva WordPressConnect with Katie & Ilana from Goodtype Goodtype Website Goodtype on Instagram Goodtype on Youtube Love The Typecast and free stuff? Leave a review, and send a screenshot of it to us on Slack. Each month we pick a random reviewer to win a Goodtype Goodie! Goodies include merch, courses and Kernference tickets! Leave us a review on Apple PodcastsSubscribe to the showTag us on Instagram @GoodtypeFollow us on Tiktok @lovegoodtypeLearn from Katie and IlanaGrab your tea, coffee, or drink of choice, kick back, and let's get down to business!

In today's Cloud Wars Minute, I explore how tech rivals are becoming collaborators to better serve customer innovation.Highlights00:43 — I call SAP and Snowflake's recent announcement a promiscuous partnership that's powerful and promising. I'll try not to trip over too many more P's here, but I think the point of this is we're seeing the promiscuous side: big tech companies that, you know, were very selective about how they worked with each other in the past.01:04 — I think now we're seeing that there are great advantages toward them aligning in ways — working together to do things for customers that neither could do individually. I think the ultimate example of this is the Oracle multicloud deals with Microsoft, Google Cloud, and AWS. So, in this case here, now we see both SAP and Snowflake are in the data cloud space.02:04 — This could have been a situation where SAP and Snowflake might have said: "I have a Data Cloud. You have one. We're going to compete" — but the result would be — “We're going to make customers' lives more miserable, because to work with both the SAP Data Cloud and the Snowflake Data Cloud, those customers are going to have to find workarounds and ways to integrate and all that.” Instead, they said, “Let's try to do this together.”03:00 — Some highlights: it accelerates customer innovation because they can spend more time focusing on business innovation, growth, and new business models, rather than a lot of expense on integration. The two companies, Snowflake and SAP, have intertwined their brands, which I think reveals to customers a very powerful commitment. This solution is called SAP Snowflake.03:55 — The AI revolution has put all sorts of new and interesting, challenging stresses on customers, right? And on the Cloud Wars Top 10 vendors: it can't just be business as usual for customers. The tech vendors have to operate differently — not just in the products they create but in the alliances they strike.04:46 — I tip my hat to Snowflake and SAP, and I think we're going to be seeing lots more of these promiscuous partnerships break out as the needs of the AI Revolution require customers to do things differently — which, in turn, compels the Cloud Wars Top 10 companies to behave in different ways. Visit Cloud Wars for more.

In this action-packed SaaS Fuel episode, host Jeff Mains welcomes AI entrepreneur Alberto Rizzoli, co-founder and CEO of V7. They dive into the transformative power of AI in automating repetitive and complex knowledge work, discuss the accelerating pace of AI innovation, and unpack how both large enterprises and smaller teams can prioritize, implement, and benefit from next-generation “agentic” AI. Alberto Rizzoli candidly shares insights on the future of SaaS, practical applications in B2B, go-to-market challenges, the evolving demands on leadership and hiring, and what it takes to stand out in a world where technology is no longer a lasting moat.Key Takeaways00:00 AI Revolution: Transforming Technology04:00 AI Reducing Administrative Costs06:21 "Measuring AI's Impact on Knowledge"09:41 "AI as Workforce Revolution"15:53 "Startups Compete on Quality"18:27 "Tech Giants Dominate AI Future"22:27 "AI Implementation Leadership Needed"25:55 "Evaluating AI Tools Effectively"29:31 AI Adoption Requires Trust31:46 "Shift in GTM Strategies"35:48 "AI Automation Careers in Demand"37:20 "V7Labs: AI Workflow Automation"Tweetable QuotesViral Topic: The Real Value of AI in Knowledge Work: "Even if you had the money to ask a lawyer and that were not an issue, you would still first ask ChatGPT because you get an instantaneous answer and there is no friction towards that." — Alberto RizzoliAI & the Future of Work: "Keeping a human away from their family and children for five hours to do some work that AI can do in five minutes by consuming a lot less relative energy will actually be kind of the best of both worlds." — Alberto RizzoliQuote: "There is still an enormous amount of unrealized value from AI. There is still close to no AI usage at the world's largest companies." — Alberto RizzoliAI's Impact on Infrastructure Investment: "We've never seen so much investment in power generation since World War II. So it really is a paradigm shift that's happening." — Alberto RizzoliBalancing Creativity and Responsibility: "the creative side is something that we enjoy, but there's so many things that are jobs that things that we have to do, things that always." — Jeff Mains Viral Simplicity in User Interfaces: "instead of having to figure out, you know, how the watch was built, we're just asking what time it is." — Jeff Mains The Cycle of Innovation and Investment: It almost becomes self fulfilling because there's so much money pouring into it. And that drives innovation, which brings more money, which drives more innovation. And I think it does become self fulfilling to some degree. — Jeff Mains SaaS Leadership LessonsPrioritize Deep Automation: Leaders should focus AI efforts on well-documented, high-frequency processes, not just shiny new initiatives.Embrace the Player-Coach Model: Middle management is evolving. Future leaders need to be hands-on contributors who coach, not just oversee.Build for Scalability: The best AI tools get you 80% of the way—allocating resources to push to 100% is critical for lasting impact.Hire for Tech Fluency: Hiring should emphasize technical problem-solvers across all departments, especially those who can identify and implement automation.Champion Change Management: Assign a dedicated AI implementation owner to drive adoption—this role will multiply team productivity.Invest in Quality, Not Hype: In a fast-copying landscape, the long-term winners are those who create the best user...

Drug discovery has doubled the flow of candidates, but approvals remain roughly flat. The constraint is development, not discovery. In this episode, a16z General Partner, Jorge Conde talks with Formation Bio cofounder and CEO Ben Liu about building a modern pharma company around clinical execution. They discuss Formation Bio's hub-and-spoke model for acquiring and advancing assets, how AI compresses trial timelines and costs, picking winners, regulatory strategy, and what it would take to move from about 50 approvals a year to many more. They also touch on global competition and why clinical proof still drives value in today's market. Timecodes: 0:00 Introduction0:38 Why Formation Bio? Origins and Mission1:12 The Real Bottleneck: Clinical Development4:56 Formation Bio's Business Model7:50 Picking Winners: The Art and Science of Drug Selection11:54 First-in-Class vs. Best-in-Class Strategies14:04 Overcoming Regulatory and Market Challenges17:26 The Stakes: Can We Approve More Drugs?19:07 How Formation Bio Cuts Cost and Time21:43 AI's Role in Drug Development25:10 The Future: From 50 to 500 Drug Approvals?35:18 Global Competition: The Rise of China39:28 The Path Forward: Data, Regulation, and Access41:47 Conclusion: Realizing the AI Revolution in Pharma Resources: Find Ben on X: https://x.com/BenjamineYLiuFind Jorge on X: https://x.com/JorgeCondeBio Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the Raising Health Podcast on Spotify: https://open.spotify.com/show/4fjb8YTzHDuPBgDXc3ElkRListen to the Raising Health Podcast  Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/raising-health/id1529318900Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this week's episode of WSJ's Take On the Week, co-hosts Gunjan Banerji and Telis Demos discuss the lingering economic impact of the U.S. government shutdown and why a lack of crucial inflation and jobs data is making the outlook murky for the Federal Reserve. Next, Nvidia is set to report its third-quarter earnings this week. And Morgan Stanley estimates that only half of the roughly $3 trillion in global data center spending through 2028 could be funded by projected cash flows. So how are tech companies going to fund the rest?  Then after the break, Telis is joined by Guy LeBas, chief fixed income strategist at wealth management and investment banking firm Janney Montgomery Scott, to explore how the AI revolution will be financed. Oracle, Meta and Google parent Alphabet have made bond offerings valued in the tens of billions. LeBas explains that the trillions needed to help fund data centers will force tech hyperscalers to issue massive new debt, potentially increasing the size of the corporate bond market by 20% a year. And he talks about whether the AI bubble could find its way into the bond market. This is WSJ's Take On the Week where co-hosts Gunjan Banerji, lead writer for Live Markets, and Telis Demos, Heard on the Street's banking and money columnist, cut through the noise and dive into markets, the economy and finance—the big trades, key players and business news ahead. As we look ahead to 2026, what major economic, markets or finance question is top of mind for you? We'd love to hear from you. Email the show at takeontheweek@wsj.com. To watch the video version of this episode, visit our WSJ Podcasts YouTube channel or the video page of WSJ.com Further Reading Who Will Pay for the AI Revolution? Retirees Is the Flurry of Circular AI Deals a Win-Win—or Sign of a Bubble? Meta Finishes Jumbo Bond Sale; Yield Climbs While Stock Slides BlackRock Among Biggest Investors in Meta's Giant Data-Center Debt Deal AI Borrowing Floods Debt Markets Big Tech Is Spending More Than Ever on AI and It's Still Not Enough Oracle's $18 Billion Bond Sale Meets Strong Investor Demand For more coverage of the markets and your investments, head to WSJ.com, WSJ's Heard on The Street Column, and WSJ's Live Markets blog. Sign up for the WSJ's free Markets A.M. newsletter.  Follow Gunjan Banerji here and Telis Demos here.  Learn more about your ad choices. Visit megaphone.fm/adchoices

MRKT Matrix - Friday, November 14th Nasdaq closes higher, snapping three-day losing streak as tech stocks recover some ground (CNBC) September jobs report will be out Thursday as first data since shutdown starts to trickle out (CNBC) Fed's Hawks Seize Spotlight Making Case Against a December Cut (Bloomberg) Fewer burritos, more bargains: Consumers flash holiday warning signs (CNBC) Walmart's Doug McMillon to Step Down as CEO After Over a Decade (WSJ) Wall Street is counting on Nvidia's earnings next week to revive the AI trade (CNBC) Stress Testing Amid Rising Fears of an AI Bubble (FactSet) Who Will Pay for the AI Revolution? Retirees (WSJ) --- Subscribe to our newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://riskreversalmedia.beehiiv.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ MRKT Matrix by RiskReversal Media is a daily AI powered podcast bringing you the top stories moving financial markets Story curation by RiskReversal, scripts by Perplexity Pro, voice by ElevenLabs

In today's Cloud Wars Minute, I take a look at how Oracle's bold multicloud partnerships — with Microsoft, AWS, and Google Cloud.Highlights00:15 — One of the ways in which Oracle has been distinguishing itself is not just with its new technology, but with interesting go-to-market approaches. Now, Ellison recently said that while Oracle's multicloud business, where its three competitors, Microsoft, AWS, and Google Cloud, all offer the Oracle Database to their customers, that revenue was up over 1,500%.01:11 — He said so far, almost all of that growth has been generated by the Microsoft partnership because it was the first to come on board. Ellison believes that as the AWS partnership and Google get up to speed — and they get all the infrastructure set up to support that — you'd think that's going to drive a new round of growth for the Oracle Database business.02:12 — Can the Oracle Database hit $20 billion in revenue in five years? Ellison seemed bullish on that. One reason is the new Oracle AI Database, purpose-built for the AI Revolution. Second is these multicloud partnerships. There's such a demand among customers who have wanted the Oracle Database but have felt trapped using Microsoft Azure, AWS, or Google Cloud.03:15 — The AI reasoning, which Ellison was calling it, also known as inferencing, is something a lot of companies are going to be doing when they take these new tools and say, “How do I suit this for my retail company or my clothing company or my trucking company?” That's where, Ellison said, everybody's going to want to do this. He sees massive demand for it.04:32 — In a full-length article that I have today on CloudWars.com, I offer four specific points on why this approach that Ellison led with Oracle — and that the others fully agreed to — is so important. It's a great trend moving forward in the direction of more capability, more choice, more power in the hands of customers here in the buyer-seller equation. Visit Cloud Wars for more.

Jason Murray of Shipium talks about AI: its impacts, now and in the future; common misconceptions; investment; developing new skills; & changing your mindset.    IN THIS EPISODE WE DISCUSS:   [04.04] An introduction to Jason, his career, and why he founded Shipium. "Lots of companies are going through an Amazon-ification. Amazon was really good at dealing with this complex multi-source, multi-destination supply chain, and everything is evolving towards that." [07.04] Jason's take on the factors that sit behind his success, and how he got to where he is today. "Focusing on being a builder, a lifelong-learner, continuing to evolve how I thought about things… really being curious." [10.12] How AI is making an immediate impact on supply chains. "People are trying to decode multi-factored issues. A carrier, a model, a rule – all of this culminates to make a decision. We've always been good at automating that, but the ability to use new information and diagnose it has been critical." [16.35] From automation to a completely fresh approach to problem-solving and business management, where AI is going to have the biggest impact in the future. "You do have to adjust. From a leadership perspective, you need a new culture. If you keep doing  things the way you've always been doing them, eventually you're going to get outcompeted." [23.13] Why Jason believes we're still under-hyping AI, the common misunderstandings, and why AI isn't simply a productivity tool. "We're not putting enough energy into fully embracing it – people are quitting too early. There's also a problem around understanding what it can and can't do." [32.17] AI investment, and Jason's advice to leaders about finding the balance between success in the now and future potential. "You have to be thoughtful about how you approach this… and figure out what spaces it's going to work the best in." [36.13] The role of software providers, and how Shipium is helping customers on their AI journey's. "It's really our job to innovate on behalf of the customer, and push to make it as easy and seamless as possible." "You have to work with a partner that you believe will be able to adjust as these times change. That's where the human element comes back into it." [41.06] The skills that will be most important for supply chain operators of the future. [46.26] What 2026 is going to hold for the industry, and what that means for Shipium. "The innovation funnel is going through AI, and that is what 2026 is going to be defined by." RESOURCES AND LINKS MENTIONED:   Head over to Shipium's website now to find out more and discover how they could help you too. You can also connect with Shipium and keep up to date with the latest over on LinkedIn, or you can connect with Jason on LinkedIn. If you enjoyed this episode and want to hear more from Shipium, check out 491: 2028 – Shipium Counts Down to the AI Revolution, 299: Modernize Your Ecommerce Supply Chain, with Shipium or Unlock Retail Growth This Quarter with Multi-Carrier Tech from Shipium. Check out our other podcasts HERE.

From Setbacks to Strengths — Building Human-Centered Performance in the Age of AIIn this week's episode, Sacha sits down with Alfredo Borodowski—consultant, keynote speaker, and leading voice in positive psychology—to explore how purpose + strengths can transform leadership, culture, and performance (without the burnout theater).From a storied journey across law, theology, and clinical therapy to guiding leaders at companies like Motorola and nonprofits across the Americas, Alfredo reveals a science-backed playbook for resilient teams and sustainable growth. His upcoming book, The Human Upgrade: The Future of Leadership in the AI Revolution, shows why the most valuable asset in a tech-saturated world is still deeply human.We dig into:The 4-stage operating system: Fix → Strengths → Psychological Capital → BecomingWhy “soft skills” are the hard skills—and the research that proves they drive resultsStrengths blindness: 70% don't know their top 5; knowing → 9× potential, applying → 18×The 3:1 positivity ratio (and why it's the manager's secret weapon)Perseverance as the #1 predictor of sustained performanceBusting myths: burnout ≠ badge of honor, pressure ≠ excellence, “cut the weak link” ≠ culturePurpose first, results follow: rediscovering mission to prevent silent founder burnoutAI & leadership: why the human edge—empathy, meaning, connection—becomes premiumPractical workshops, games, and case-based coaching teams can replicate immediately

Download our “Tell a Better Story, Win Better Clients” E-book at https://working-towards.com/Artificial intelligence is exploding — but can our power grid keep up?Josh Levine, Chief Marketing Officer at EnergySage, explains why renewable energy is the only realistic path forward to sustain the AI revolution.Josh's 20-year career spans the U.S. Army, Harvard Business School, Google, and Procter & Gamble. Today, he's leading EnergySage's mission to make clean energy simple, affordable, and accessible for everyone.

Sports Geek Rapid Rundown is a daily sports business podcast curated by Sports Geek Reads. We publish it on Sports Geek twice per week. In this episode: Today's Sports Geek Rapid Rundown covers the NBA's AI transformation with 76 billion dollar broadcast deals, WNBA players preparing for potential lockout over revenue sharing, Houston Texans acquiring League One Volleyball franchise, Pinterest's open source AI success, OpenAI reaching 1 million business customers, and a landmark UK court ruling on AI copyright - all curated by Sports Geek Reads. Subscribe at https://sportsgeekhq.com/rapidrundown

In the November livestream, we started with a market "vibe check" on the recent AI stock sell-off, debated the "AI bubble", floated a hot take on Apple's "wait and license" strategy, and answered live questions from viewers. We also announced the Q3 portfolio contest winner.01:58 Market Vibes and Stock Performance10:29 AI Revolution and Market Speculations25:41 Brookfield Asset Management and Sentinel One Insights34:13 Exploring the Cybersecurity Landscape34:58 The Impact of Cybersecurity Outages37:42 SanDisk and the AI Boom41:43 Investing Unscripted Portfolio Contest45:58 Reflections on Stock Picks and Market Trends56:17 Political Implications on the Stock Market59:44 Closing Remarks and Future PlansCompanies mentioned: AAPL, AMZN, BAM, BN, CRWD, GOOGL, META, S, SNDK, TSLA*****************************************Join our PatreonSubscribe to our portfolio on Savvy Trader *****************************************Email: investingunscripted@gmail.comTwitter: @InvestingPodCheck out our YouTube channel for more content: ******************************************To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscripted******************************************Listen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube******************************************2025 Portfolio Contest2024 Portfolio Contest2023 Portfolio Contest

AI Revolution, Cloud Growth, and the Virtual Cell. Brandon Weichert reports on how AI is driving massive growth in cloud computing, exemplified by Amazon's surging shares and AWS growth, reaching paces "we haven't seen since 2022." Weichert dismisses fears of an "AI crash" as fear-mongering rooted in ignorance and past market bubbles, arguing that AI is sparking new sectors and enhancing productivity across industries. He details the cutting-edge application of AI in creating a "virtual cell"—computer models that simulate cell functions to speed up drug discovery, understand disease mechanisms, and inform scientific investigation. 1951

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In this episode of The Wright Report, Bryan covers the Federal Reserve's rate cut and what it means for Trump's economy, the looming risks of the AI revolution, a power struggle inside the FBI and U.S. intelligence community, and the explosive fallout from Trump's nuclear weapons announcement during his summit with China's Xi Jinping. The Fed Cuts Rates — and Markets Panic: The Federal Reserve lowered interest rates by a quarter point as expected, but markets tanked when Chairman Jerome Powell signaled no further cuts this year. Bryan warns that the Fed may be playing politics against Trump and that the slowdown — fueled by AI-driven job losses — could spark a populist backlash before next year's midterms. The AI Revolution and a New Working Class Crisis: Major companies like Amazon are slashing tens of thousands of white-collar jobs as AI automation takes hold. Bryan compares today's upheaval to the Industrial Revolution, predicting decades of struggle for young workers and a coming rise in left-wing populism if the White House fails to address economic pain. FBI vs. Intel Community Turf War: FBI Director Kash Patel and Intel Chief Tulsi Gabbard are battling over who controls America's counterintelligence mission — the same bureaucratic fight that contributed to 9/11. Bryan urges listeners to back a new congressional bill centralizing the mission under one agency before disaster strikes again. Trump and Xi — A Nuclear Gamble: During his summit with China's President Xi, Trump announced that the U.S. will resume nuclear weapons testing for the first time since 1992. China's reaction was icy, though both sides reaffirmed trade and fentanyl agreements. Meanwhile, Malaysia already broke part of its rare earth deal with Washington, proving how fragile global cooperation remains. The Netherlands and a Warning for Trump: Populist Dutch leader Geert Wilders lost power after failing to deliver economic results, offering what Bryan calls "a cautionary tale for the GOP." He argues Republicans must scrap the Senate filibuster and act decisively on jobs and immigration before their working-class base walks away. "And you shall know the truth, and the truth shall make you free." - John 8:32 Keywords: Federal Reserve rate cut Powell, Trump economy AI revolution, Amazon layoffs automation, FBI Tulsi Gabbard counterintelligence bill, Trump Xi nuclear testing summit, China rare earth exports Malaysia, Geert Wilders Netherlands election loss, GOP filibuster reform