AI for Business

Artificial intelligence (AI) offers small businesses transformative opportunities to enhance operations and drive growth. By integrating AI into business strategies, companies can improve revenue, reduce costs, manage risks, delight customers, and empower employees. This blog delves into the potential of AI in business transformation, focusing on fundamentals, cultural shifts, practical implementation, and competitive advantages. With a strong emphasis on data quality and continuous adaptation, businesses can harness AI to achieve efficiency, resilience, and long-term success in a competitive marketplace. The Power of AI in Business Transformation As we navigate the integration of AI into business strategies, it’s essential to understand its impact on fundamental business operations. AI presents an immense opportunity for businesses to grow revenue, decrease costs, mitigate risks, delight customers, and empower employees. Businesses that excel in these five areas tend to survive, and those that go further to innovate consistently will thrive. AI and machine learning, although seemingly new, have been around for over a decade. The resurgence in interest, driven by advanced capabilities like large language models (LLMs), brings about a unique opportunity for businesses. However, the crux of leveraging AI effectively lies in the quality of data. Better data leads to better insights and efficiency. Therefore, the initial focus should always be on improving data quality across core business functions. Business Fundamentals and AI Integration For small businesses, integrating AI begins with identifying key pain points where AI can deliver value today. This involves looking at operational processes, customer service, and marketing to pinpoint areas ripe for automation and acceleration. Basic tasks such as data collection, operational efficiency, and customer insights can be significantly enhanced through AI, leading to improved decision-making and faster execution. Every business is unique, with different values, priorities, and customer needs. Thus, AI integration strategies must be customized to fit these specific requirements. The notion of plug-and-play AI doesn’t hold true universally, especially in areas like sales and bespoke customer service. Instead, businesses should define their processes, gather relevant data, and build governance structures tailored to their specific needs. Cultural Transformation and AI The shift towards AI is as much about cultural change as it is about technology. Whereas past technological shifts, such as moving from the internet to mobile or from local servers to the cloud, were largely invisible to end users, AI introduces a direct interaction model. AI can act as a thought partner, accelerator, and even a colleague in some instances. This changes the way employees interact with technology and with each other. For successful AI integration, businesses need to foster a culture that embraces continual learning, resilience, and adaptability. Preparing teams to work with AI means developing a mindset geared towards innovation and improvement. Companies will need to invest in retraining and upskilling employees to leverage AI tools effectively, ensuring a smooth transition and sustainable growth. Practical Steps for AI Implementation To begin implementing AI, businesses should align AI capabilities with their most pressing challenges. For example, startups can leverage AI for strategic planning, competitive analysis, and customer insights. By utilizing AI tools like OpenAI and Cloud, businesses can rapidly accelerate decision-making processes and reduce risks. Startups, in particular, should focus on building strong strategies supported by AI. This includes evaluating competitors, understanding market trends, and defining their unique value propositions. AI can expedite these processes, allowing startups to move quickly and pivot as needed based on data-driven insights. Creating a Competitive Edge Companies that integrate AI successfully can create durable competitive advantages. This includes using AI for enhanced customer relationships, data-driven decision-making, and operational efficiency. As AI technology evolves, businesses can continuously adapt and refine their strategies to stay ahead. Businesses should also consider forming dedicated teams or task forces to explore AI’s potential continuously. These teams can monitor technological advancements, experiment with new tools, and implement AI solutions that align with the company’s goals and culture. Preparing for an AI-Driven Future The adoption of AI isn’t just about immediate gains; it’s also about long-term resilience and competitiveness. Businesses must prepare for rapid technological advancements that can disrupt traditional models. By building a solid foundation today, companies can ensure they are equipped to navigate the future, where AI will play an integral role in everyday operations. AI offers transformative potential for small businesses looking to innovate and grow. Through strategic integration and cultural adaptation, businesses can harness AI to achieve significant improvements in efficiency, customer satisfaction, and overall performance. Staying updated with the latest AI advancements and continuously exploring practical applications will be crucial for maintaining a competitive edge. We are deeply appreciative of West Stringfellow for imparting his extensive knowledge about transformative strategies for small businesses. His expertise in leveraging innovative technologies and forward-thinking approaches provides invaluable guidance for businesses seeking to adapt and thrive in an increasingly competitive environment. Watch the Marketing in the Age of AI Podcast Featuring West Stringfellow: youtu.be/T4fQciUiJB0

The role of Artificial Intelligence (AI) in business has rapidly evolved, and understanding how to incorporate this technology effectively has become essential. One critical area is the ability to integrate AI into various business functions. This blog explores practical strategies and real-world applications to help businesses make the most of AI. The Shift to Emerging Technologies In the realm of emerging technologies, change happens swiftly, and businesses must adapt to stay competitive. AI is at the forefront of this change. Historically, technologies like Blockchain and VR were considered cutting-edge, but today, AI takes center stage. The pace at which these technologies evolve means businesses must remain agile, updating their tools and strategies regularly. Unlike long-term futurists who predict changes a century ahead, the focus here is on practical applications within the next five to ten years. This timeframe allows businesses to make informed decisions and adopt technologies that provide immediate benefits. The approach is to look at how the world is expected to look a decade from now and work backward to identify the necessary technologies and strategies that must be in place today. Practical Applications of AI in Digital Marketing With advancements in AI, digital marketing has seen significant improvements. Companies are increasingly using AI tools to automate tedious tasks. For instance, AI can manage email marketing campaigns by personalizing messages based on user data, predictive analytics, and behavior tracking. Tools that take meeting notes, summarize actions, and send updates can save enormous amounts of time. By deploying these across all corporate meetings, organizations can efficiently manage and utilize information without manual effort. AI tools are now advanced enough to not only take notes but also trend and summarize content across multiple meetings, providing executives with a comprehensive view of how objectives are being met. AI is also proving valuable in capturing and nurturing leads. By integrating AI-powered systems into funnel management, businesses can enhance their lead generation efforts. These systems can identify potential customers who visit websites, engaging them through personalized emails, social media interactions, and even direct mail. For example, AI can pull data from public databases to personalize outreach efforts based on specific criteria like home value or recent searches. This targeted approach ensures a higher success rate in converting leads to customers. Addressing Security Concerns with AI One area where AI is proving crucial is cybersecurity. There have been numerous high-profile security breaches, from companies like Bank of America to Live Nation. Traditional methods of securing assets are proving inadequate against sophisticated cyber threats. Cybercriminals are employing AI themselves to create highly convincing deep fakes and phishing schemes. For example, an incident in Hong Kong involved a deep fake of a CFO who managed to trick an employee into transferring 24 million dollars. The employee believed the CFO was real, even involving other “deep fake” colleagues in the process. This sophistication requires a multi-layered defense strategy that includes education, regulation, and robust verification processes. One effective method is off-band verification, where identity verification occurs on a different communication channel than the one being used. For instance, if a suspicious request comes through email, a phone call or text message should be used for verification. This helps mitigate risks associated with single-channel communications being compromised. Implementing AI in Business Operations Emerging technologies typically find practical applications in sectors like defense, adult entertainment, and high-value transactions first. These sectors drive the initial hype and investment, which then trickles down to mainstream businesses. This phenomenon has been observed repeatedly over the last decade and a half. For business leaders, the pressing question is how to effectively integrate AI into their operations. It starts with identifying specific needs and ensuring the availability of clean, high-quality data. AI thrives on data, and without it, even the most advanced AI tools cannot deliver valuable insights. Companies need to think beyond the “shiny new object” syndrome and focus on tangible business cases. The first step could be a thorough evaluation of current processes to identify areas where AI could improve efficiency or effectiveness. Often, starting with the cleanest data available will provide a low-hanging fruit that delivers immediate benefits. Practical Advice for Business Leaders Market research has shown that although a majority of CEOs understand the importance of AI, a very small percentage actively invest in it. The gap between understanding AI’s potential and taking action arises from fear of the unknown. CEOs should engage with experts who specialize in AI technology to bridge this gap. With AI now mainstream, the urgency to adopt it is greater than ever. Board members and decision-makers should allocate time and resources specifically for discussing and implementing AI strategies. It’s no longer just about gaining a competitive edge; failing to incorporate AI could mean falling behind. By focusing on practical applications and tangible outcomes, AI can become a valuable asset in any business strategy, ensuring long-term success and sustainability. Special thanks to the in-depth insights and thoughtful contributions of Casey Hamilton, which significantly enriched the understanding and application of AI technologies discussed in this blog post. If this theme resonates with you, let’s schedule a call to discuss further: HERE Watch the Marketing in the Age of AI Podcast Featuring Casey Hamilton: youtu.be/n-VlTVc9VN8

AI technology offers a multitude of tools that can simplify and optimize research tasks. Modern marketers often find themselves drowning in data, with endless websites and sources to sift through for relevant information. AI can streamline this process, providing accurate results in a fraction of the time traditionally required. For example, using AI to look up specific part numbers or gather detailed product information can save hours of manual research. AI-powered search tools, such as GPT models, have revolutionized the way we interact with information. These tools can quickly filter and summarize vast amounts of data, providing actionable insights. As advancements in generative AI continue, tools like Perplexity are emerging as potential replacements for traditional search engines, further enhancing our ability to access and use information efficiently. AI in Real Estate and Construction In industries such as real estate and construction, AI is being used in innovative ways to enhance productivity and project management. For instance, AI can automate the creation of detailed marketing plans and comprehensive email campaigns, which traditionally required extensive input from marketing professionals. This automation allows solopreneurs and smaller businesses to generate high-quality, strategic content with less effort and expense. AI tools can also perform complex tasks such as estimating project costs, bidding on jobs, and forecasting financial outcomes. These tasks, which once took hours to complete manually, can now be done in minutes. The AI systems continuously learn and improve from each project, becoming more accurate and reliable over time. This not only saves time but also reduces the potential for human error, leading to more precise and efficient business operations. Effective Time Management Strategies One of the key benefits of AI technology is its potential to help business owners reclaim their time. Effective time management is crucial for the success of any entrepreneur. The first step in this process is understanding where your time is currently being spent. By tracking daily activities and assigning a cost to each task, business owners can identify areas for delegation and automation. Creating a “time audit” can reveal which tasks are consuming the most time and which of these tasks can be outsourced. Adding an energy level metric helps prioritize tasks that take up time and drain energy. By focusing on high-impact activities and delegating or automating lower-impact tasks, entrepreneurs can ensure they are dedicating their efforts to areas that truly drive business growth. Reclaiming Time with AI Automation plays a significant role in reclaiming time. Business owners can focus more on strategic decision-making and growth initiatives by automating routine tasks. Tasks such as social media posting, email marketing, and content scheduling can be efficiently managed by AI, freeing up valuable time. Delegation is another critical strategy. Entrepreneurs should identify tasks that other team members or external partners can handle. Effective communication is essential to ensure that delegated tasks are completed to the standard required. By creating clear instructions and expectations, business owners can delegate with confidence, knowing that their time is being optimized without sacrificing quality. Writing and Promoting a Book with AI The process of writing and promoting a book can be daunting, but AI offers several tools to ease this journey. From generating initial drafts to providing feedback and revisions, AI can support authors in crafting high-quality manuscripts. For example, AI can help structure content, suggest improvements, and even identify key themes that resonate with readers. Promotion is another area where AI excels. Algorithms can identify the best channels and strategies for reaching your target audience. AI can optimize marketing campaigns by analyzing data from various sources, helping authors achieve maximum visibility. This includes everything from social media strategies to email marketing and search engine optimization. The Future of AI in Education and Empowerment Beyond business applications, AI holds transformative potential for education and empowerment. For instance, AI-driven programs can offer personalized learning experiences, helping students achieve their full potential. By providing tailored content and real-time feedback, AI can make education more accessible and effective. AI can also empower individuals by offering tools and resources that were previously out of reach. For example, AI can assist in learning new skills, managing personal finances, or even supporting mental health. As AI technology continues to evolve, its capacity to empower and uplift individuals and communities will only grow. Embracing Efficiency, Growth, and Empowerment The integration of AI into various facets of business and personal life offers unprecedented opportunities for efficiency, growth, and empowerment. From optimizing research and automating routine tasks to innovating in education and personal development, AI is reshaping how we approach our daily challenges. By embracing AI, businesses can not only streamline their operations but also reclaim valuable time, allowing them to focus on strategic growth and personal well-being. This transformative potential underscores the importance of staying informed about AI advancements and exploring their practical applications in our lives. We greatly appreciate Rodric Lenhart for offering his invaluable insights on the transformative potential of AI in marketing. His practical applications and forward-thinking strategies significantly enhance our approach to utilizing these powerful tools. Watch the Marketing in the Age of AI Podcast Featuring Rodric Lenhart: youtu.be/ftQZsV5yW6U

Understanding how to optimize AI utility is crucial in our professional lives. One of the foundational skills in leveraging AI effectively is prompt writing or prompt engineering. It sounds simple, but getting this right can be the difference between subpar output and exceptional results. Let’s delve into the essentials of this highly relevant competency. The Importance of Curiosity and Context Curiosity remains a vital trait in this field. Consistently asking questions is essential. AI applications started with basic uses, but more nuanced and complex applications have emerged from an ongoing quest for better ways to address needs and challenges. This curiosity drives proficiency in prompt writing, especially when combined with a solid understanding of context. Often, novices approach AI tools with overly simplistic prompts such as “write a white paper on innovations in healthcare.” This tends to yield generic and unsatisfactory results. The AI responds to the specificity and depth of instructions. The more detailed and context-rich the prompts, the better the output. For instance, including specifics like an interest in how AI models can predict early-stage cancer steers the AI towards generating more relevant and insightful content. Structuring Effective Prompts Creating effective prompts involves delineating roles, providing background, setting parameters, and defining objectives. An effective approach includes ‘seeding the model’ by giving detailed, structured prompts, incorporating expert opinions, examples, and parameters. An example is prompting AI to write like a “world-class researcher” rather than “a researcher.” Specificity in the role-designation enhances output quality significantly, bypassing general and uninspired results. For instance, if you are working on a topic like healthcare innovations, a good starting prompt might be, “I am writing a white paper on healthcare innovations, particularly interested in AI models for early cancer detection.” This sets the stage for focused output. You can then deepen the context by adding, “Consider the work of renowned oncologists and AI researchers. Highlight where their findings intersect and differ.” Iterative Refinement One crucial aspect of prompt writing is understanding that the first output may not be perfect. Iterative refinement ensures you get the best possible result. Start with a broad prompt like, “Draft an outline for a white paper on healthcare innovations.” The initial outline might be basic, but you can refine it step by step. Each iteration hones the content further, making it richer and more precise.  For example, a follow-up prompt might be, “Expand the section on AI in early cancer detection. Include recent studies from top medical journals.” This iterative process can turn an initial vague response into a comprehensive, detailed document. Integrating AI into Broader Campaigns Beyond standalone documents, AI can play a pivotal role in creating comprehensive marketing campaigns. Once a white paper is ready, AI can generate supporting materials such as landing pages, social media posts, and email sequences—all within the same conversation. This integrated approach saves time and maintains consistency across different content formats. For example, after completing a white paper, the next prompt might be, “Generate a landing page outline to promote the healthcare innovations white paper,” followed by, “Write content for the landing page, focusing on key findings from the white paper.” Following up with, “Write a LinkedIn post to promote the white paper targeting healthcare professionals” ensures cohesive messaging across platforms. Prompts can be revisited and updated as necessary, enabling timely revisions of content to reflect current trends or new insights. Keeping versions of generated content and refining them based on new inputs ensures materials stay relevant and impactful. For instance, you might later add, “Update the white paper with recent innovations presented at the latest medical conference.” Infusing Emotional Intelligence and Continuous Iteration Embedding emotional intelligence in prompts involves understanding and articulating your target audience’s fears, aspirations, frustrations, and desires. Detailed personas, drawn from models like Myers-Briggs or DISC, guide the AI in creating content that resonates deeply with the intended audience. This ensures that your communications are not just informative but also emotionally engaging. For example, if your target audience is medical professionals, you might prompt, “Write a social media post promoting the white paper, targeting oncologists and healthcare administrators. Emphasize the potential of AI in saving lives through early detection.” This nuanced approach tailors the output to speak directly to the audience’s professional and emotional motivations. Mastering prompt engineering is an iterative process—continually refining prompts based on previous outputs. Accepting that initial AI responses might be suboptimal and committing to iterative improvements is key. Begin with simple instructions and make them progressively more complex as the AI output becomes more accurate and relevant. Over time, this approach yields superior and finely-tuned content. Effective AI utilization, especially in marketing, hinges on mastering prompt writing. This foundational skill enhances the relevance, accuracy, and resonance of AI-generated content. By focusing on the basics, being specific and iterative, and continuously refining prompts based on detailed personas and expert input, marketers can harness the full potential of AI technologies. Special thanks to Jeff Borschowa for his valuable insights on prompt writing and AI utilization, which significantly contributed to the creation of this blog post. Watch the Marketing in the Age of AI Podcast Featuring Jeff Borschowa: youtu.be/Mko6qObFiJo

The role of Artificial Intelligence (AI) in business has rapidly evolved, and understanding how to incorporate this technology effectively has become essential. One critical area is the ability to integrate AI into various business functions. This blog explores practical strategies and real-world applications to help businesses make the most of AI. The Shift to Emerging Technologies In the realm of emerging technologies, change happens swiftly, and businesses must adapt to stay competitive. AI is at the forefront of this change. Historically, technologies like Blockchain and VR were considered cutting-edge, but today, AI takes center stage. The pace at which these technologies evolve means businesses must remain agile, updating their tools and strategies regularly. Unlike long-term futurists who predict changes a century ahead, the focus here is on practical applications within the next five to ten years. This timeframe allows businesses to make informed decisions and adopt technologies that provide immediate benefits. The approach is to look at how the world is expected to look a decade from now and work backward to identify the necessary technologies and strategies that must be in place today. Practical Applications of Virtual and AI Technologies The projection is a more virtualized world in the near future. This doesn’t simply mean the Metaverse but includes various forms of virtual interactions, such as VR environments and digital avatars. The tools available today, like deep fake technology and AI-generated avatars, already allow for highly realistic virtual interactions. Such advancements suggest a future where much of business communication and operations could happen in virtual spaces. For instance, companies are increasingly using AI tools to automate tedious tasks. Tools that take meeting notes, summarize actions, and send updates can save enormous amounts of time. By deploying these across all corporate meetings, organizations can efficiently manage and utilize information without manual effort. AI tools are now advanced enough to not only take notes but also trend and summarize content across multiple meetings, providing executives with a comprehensive view of how objectives are being met. Addressing Security Concerns with AI One area where AI is proving crucial is cybersecurity. There have been numerous high-profile security breaches, from companies like Bank of America to Live Nation. Traditional methods of securing assets are proving inadequate against sophisticated cyber threats. Cybercriminals are employing AI themselves to create highly convincing deep fakes and phishing schemes. For example, an incident in Hong Kong involved a deep fake of a CFO who managed to trick an employee into transferring 24 million dollars. The employee believed the CFO was real, even involving other “deep fake” colleagues in the process. This sophistication requires a multi-layered defense strategy that includes education, regulation, and robust verification processes. One effective method is off-band verification, where identity verification occurs on a different communication channel than the one being used. For instance, if a suspicious request comes through email, a phone call or text message should be used for verification. This helps mitigate risks associated with single-channel communications being compromised. Implementing AI in Business Operations Emerging technologies typically find practical applications in sectors like defense, adult entertainment, and high-value transactions first. These sectors drive the initial hype and investment, which then trickles down to mainstream businesses. This phenomenon has been observed repeatedly over the last decade and a half. For business leaders, the pressing question is how to effectively integrate AI into their operations. It starts with identifying specific needs and ensuring the availability of clean, high-quality data. AI thrives on data, and without it, even the most advanced AI tools cannot deliver valuable insights. Companies need to think beyond the “shiny new object” syndrome and focus on tangible business cases. The first step could be a thorough evaluation of current processes to identify areas where AI could improve efficiency or effectiveness. Often, starting with the cleanest data available will provide a low-hanging fruit that delivers immediate benefits. Practical Advice for Business Leaders Market research has shown that although a majority of CEOs understand the importance of AI, a very small percentage actively invest in it. The gap between understanding AI’s potential and taking action arises from fear of the unknown. CEOs should engage with experts who specialize in AI technology to bridge this gap. With AI now mainstream, the urgency to adopt it is greater than ever. Board members and decision-makers should allocate time and resources specifically for discussing and implementing AI strategies. It’s no longer just about gaining a competitive edge; failing to incorporate AI could mean falling behind. Successful AI implementation requires a clear understanding of its value proposition. Companies should aim for a 15-17% improvement in efficiency as a baseline. By methodically studying processes and identifying areas for AI intervention, businesses can achieve significant improvements and remain competitive. AI is transforming business operations, offering new tools and strategies that can significantly enhance efficiency and effectiveness. From automating mundane tasks to providing robust security measures, AI’s influence is far-reaching. Business leaders must overcome the fear of the unknown and proactively invest in AI technologies to stay ahead in the competitive marketplace. By focusing on practical applications and tangible outcomes, AI can become a valuable asset in any business strategy, ensuring long-term success and sustainability. Special thanks to Sani Abdul-Jabbar for his in-depth insights and thoughtful contributions, which significantly enriched the understanding and application of AI technologies discussed in this blog post. Watch the Marketing in the Age of AI Podcast Featuring Sani Abdul Jabbar: youtu.be/F21uLJBzrvE

Customer service is experiencing a transformative shift thanks to advancements in artificial intelligence (AI). As we explore the future of customer support, it’s evident that AI is playing a pivotal role in creating more efficient and personalized experiences. At the core of this transformation is the delicate balance between leveraging AI for efficiency while preserving the essential human touch that fosters genuine connections between a business and its customers. The Importance of Human Empathy in Customer Service One constant in customer service is the value of human empathy. Authentic human communication has always been considered the bedrock of effective customer service. There’s a growing concern that as businesses increasingly rely on AI to handle customer interactions, the element of empathy might be at risk. Authentic human connections are rooted in emotional intelligence, which enables a nuanced understanding of a customer’s needs and concerns. Customer service isn’t just about solving problems; it’s about making customers feel seen and heard. Emotional engagement can drive customer loyalty far more effectively than generic, auto-generated responses. This understanding becomes particularly critical when considering the deployment of AI in customer service settings where the challenge is to use AI without losing the essence of human empathy. From Sociology to Startups: A Unique Path to Customer Support AI The development of AI-powered customer support requires an understanding of human behavior and social systems. A background in sociology, for instance, provides insights into the importance of creating systems that people find comfortable and trustworthy. place them.Insights from various startup ventures highlight a recurring theme: leveraging technology to solve real human problems, particularly in terms of customer support. The goal remains to enhance human capabilities, not replace them. Human Augmentation and AI: A Symbiotic Relationship Creating AI-powered customer support software is aimed at augmenting human abilities. For example, Ducky focuses on connecting to internal knowledge sources such as Slack, Confluence, Jira, and more, allowing its AI system to read and interpret customer queries to suggest relevant information and generate accurate responses. This technology harnesses AI to pull from prior tickets, internal documents, and other sources, ensuring that solutions are both accurate and contextually appropriate. This approach allows support agents to handle complex queries more efficiently, without losing the human element that customers value. Leveraging AI and Avoiding Common Pitfalls One of the primary concerns for businesses and customers alike is the risk of AI “hallucinations”—where AI generates responses that sound plausible but are factually incorrect. To mitigate this, developing systems to score responses based on their truth, accuracy, and relevance is crucial. Constant benchmarking of AI-generated responses against actual human-provided solutions ensures alignment with company standards. However, the real challenge isn’t just about generating accurate responses; it’s also about maintaining the right tone. A tone engine, for instance, learns from a company’s past communications to mimic the preferred interaction style, right down to the use of emojis. Ensuring that AI can emulate the brand’s voice helps maintain consistency and build trust with customers. Reframing AI’s Role in Customer Support Contrary to the fear that AI might replace human jobs, the mission should be to enhance what human agents can do. The aim is to take away the repetitive, menial tasks from customer support agents, freeing them up to engage in more strategic, empathetic interactions that machines simply cannot replicate. This reallocation can transform customer support agents into strategic assets who can contribute to broader business goals, such as improving product offerings based on customer feedback or enhancing customer engagement strategies. Looking Ahead: The Future of AI in Customer Service As AI continues to evolve, the next 18 months hold significant promise for innovations in customer service. Foundational players like LLM providers will continue to improve, making AI tools more accessible and versatile. The key to leveraging these advancements lies in a company’s ability to integrate AI into its workflow in a manner that enhances rather than detracts from the customer experience. The future will likely see a hybrid model where AI handles routine queries with unparalleled speed and accuracy, while human agents focus on more complex, high-value interactions. By doing so, companies can not only improve efficiency but also elevate the overall customer experience. A special thank you to James O’Brien for his invaluable insights and expertise which significantly contributed to the development of this blog post. Watch the Marketing in the Age of AI Podcast Featuring James O’Brien: youtu.be/8Tpn1sZzwvU