How to Win With AI in 2026

Wake Up: AI is Here

The Urgency of Adopting AI

• The speaker emphasizes the rapid advancement of AI, highlighting a significant acquisition by OpenAI for a billion dollars over President's Day weekend.

• It is stated that AI will only improve from this point forward, making it crucial for individuals and businesses to prioritize learning how to use AI effectively.

• The speaker encourages viewers to consider immediate applications of AI in their businesses or roles within larger organizations.

Advantages of Being Early in AI Adoption

• Starting an "AI first" business can disrupt existing markets as competitors are often too busy managing their current operations to adapt.

• Companies that embrace AI from day one can achieve high revenue per employee due to streamlined processes and reduced resistance to change.

Job Market Implications

• A quote from Jerome Pal highlights zero net job creation in the private sector, attributing this trend to automation replacing jobs rather than economic downturns.

• The speaker warns that failure to adapt quickly could lead to being left behind as industries evolve rapidly due to technological advancements.

Adaptability is Key

Business Darwinism

• The concept of "business Darwinism" suggests that adaptability, not strength or intelligence, determines survival in changing environments.

• Individuals must learn how to utilize new tools like AI; failing to do so poses greater risks than potential downsides associated with technology adoption.

Overcoming Complacency

• Many people hesitate to adopt new technologies due to complacency and fear of short-term costs associated with learning new skills.

• Training employees may seem time-consuming initially but leads to long-term efficiency gains once they become proficient.

The Importance of Skill Development

Time Investment for Proficiency

• It takes approximately 20 hours of focused effort to become proficient in a new skill; however, many delay starting this process unnecessarily.

Practical Engagement with Technology

• Engaging directly with technology (e.g., building something over a weekend) enhances understanding more effectively than passive consumption of information.

Shifting Mindsets: From Role-Based Thinking

Workflow-Based Thinking

• Organizations should transition from role-based thinking towards workflow-based thinking when considering hires and tasks.

• This involves identifying specific activities performed by employees and determining if those tasks can be integrated into workflows instead.

Understanding the Shift in Organizational Paradigms

The Old vs. New Paradigm of Hiring

• Traditional thinking emphasizes hiring an editor, while the new paradigm focuses on identifying specific tasks that editors perform to create videos.

• Organizations should structure roles around workflows and outputs rather than merely organizing human resources.

The Manufacturing Analogy

• Every business transforms raw inputs into valuable outputs; service businesses combine talents and skills to enhance value.

• An effective organizational structure should streamline communication and decision-making, focusing on task automation rather than just personnel management.

Embracing Automation

• Instead of eliminating jobs, individuals should identify tasks within their roles that can be automated to improve efficiency.

• Entrepreneurs must allocate time to innovate and potentially replace their own positions through automation, ensuring they remain relevant in a changing job landscape.

Future Business Models: BYO (Bring Your Own)

• The future will see models like "bring your own software" or "bring your own agents," allowing employees to leverage technology for enhanced productivity.

• Companies may operate with minimal staff by utilizing automated systems effectively, as exemplified by organizations like Anthropic.

Training AI Like Employees

• Successful marketing departments can function with fewer people if they train AI agents properly to handle various tasks efficiently.

• Individuals can explore opportunities as contractors or embedded team members using trained agents for business functions previously requiring larger teams.

Learning from Feedback

• Many fail at training AI because they expect immediate results without understanding the learning process involved.

• Just as humans learn through reinforcement—adjusting behavior based on outcomes—AI requires similar iterative training for optimal performance.

Recognizing Patterns

• Humans excel at recognizing patterns through experience; similarly, advanced AI systems are designed to identify patterns even more effectively than humans.

Training AI Like Humans: Key Insights

The Importance of Defining Objectives

• Training a computer should mirror how we train humans, emphasizing the need for clear objectives and observable behaviors.

• Many fail to define what "good" looks like, leading to ineffective training methods. Clarity in expectations is crucial.

• By explicitly stating desired outcomes rather than leaving them open to interpretation, trainers can significantly enhance AI performance.

Effective Communication with AI

• Providing specific guidelines (e.g., rules and writing samples) leads to better outputs from AI systems compared to vague instructions.

• Iterative feedback loops are essential; while humans may forget past instructions, AI can quickly adapt through repeated training cycles.

Embracing Technology for Competitive Advantage

• Resistance to adopting AI tools can hinder competitiveness; those who avoid technology may find themselves at a disadvantage.

• Historical context shows that humans using superior technology consistently outperform those relying on inferior tools.

The Future of Human Labor and Value

• As technology advances, the unique value of human labor will shift towards risk-taking and decision-making roles.

• The evolution of technology has always favored those who adapt; this trend will continue as machines become more capable.

Navigating Emotional Responses to Technology

• Pushback against automation often stems from emotional reactions rather than logical assessments of functionality.

• Understanding the capabilities of machines versus human skills is vital in adapting business strategies effectively.

Roadmap for Business Growth

• A structured roadmap exists for scaling businesses successfully across various sectors, which includes identifying constraints and necessary steps for growth.

• Accessing this roadmap is free and provides valuable insights into navigating business challenges effectively.

The Future of Business in a Technological World

The Integration of Technology in Business

• Businesses today are increasingly integrating technology into their operations, even if they don't identify as tech companies.

• Common technological tools include social media, the internet, email, and phones, which have become essential components for modern businesses.

Economic Drivers: Skills and Technology

• Gross Domestic Product (GDP) is influenced by two main factors: education (skills) and technology. As these improve, GDP is expected to rise significantly.

• The potential for automation may lead to an explosion of new businesses while also eliminating certain roles within existing companies.

Barbell Strategy for Future Planning

• A "barbell strategy" involves balancing high-risk investments with stable ones; this means fully embracing AI in business while also making safe bets on enduring industries.

• Companies must be prepared to make tough decisions regarding workforce automation as AI becomes more prevalent. Those who hesitate may fall behind competitors who adapt quickly.

Industries Likely to Thrive

• Certain sectors are predicted to remain robust despite technological advancements:

• Healthcare: Essential services related to health will continue to exist as humans will always need care and wellness solutions.

• Entertainment: With increased leisure time due to automation, entertainment is expected to grow significantly as it remains affordable and accessible. This includes content creation using AI technologies that can yield high profits with low costs.

Observations from the Adult Industry

• The adult industry often leads in adopting new technologies; innovations here frequently trickle down into mainstream applications.

• Examples include AI-generated avatars that eliminate traditional production challenges while providing engaging content through chatbots trained on extensive conversation data.

Preparing for Uncertain Futures

• There exists a possibility of extreme economic disparity where only a few benefit from technological advancements; however, it's crucial to maintain hope while preparing for various outcomes.

• Emphasizing resilience—being ready for both positive developments ("sunshine") and negative scenarios ("rain")—is vital for long-term success in business environments marked by rapid change.

The Future of Adaptation and Opportunity

The Swimming Metaphor for Change

• Brian Johnson, a longevity expert, uses the metaphor of swimming to illustrate how people have trained their entire lives for challenges but may not be prepared for sudden changes in their environment.

• He describes a scenario where swimmers face boiling water, symbolizing drastic shifts that can render previous skills ineffective due to fundamental changes in circumstances.

Recognizing Opportunities Amidst Change

• The speaker emphasizes that while change can seem daunting, it presents significant opportunities, especially since humans are generally slow to adapt.

• Notably, individuals over 50 who possess wealth may struggle to adapt quickly, creating an opportunity for those who can innovate and automate processes in businesses.

Pricing Sensitivity and Operational Leverage

• The discussion highlights that people's price sensitivity is also slow to change; if a service costs $2,000 based on traditional labor costs but can be automated down to $50 or $5, the profit margins become substantial.

• This shift allows one person to generate millions in revenue with less coordination required among staff, making scaling operations easier.

Actionable Steps for Automation

• List daily tasks at a granular level (e.g., responding to emails or running ads), breaking them down into specific actions rather than broad categories.

• Use AI tools by inputting these tasks and asking how they can be automated. Follow the AI's guidance step-by-step for effective implementation.

Leveraging AI as a Resource

• Everyone has access to AI tools that serve as tutors; utilizing these resources effectively can enhance productivity and innovation.

• The speaker mentions ongoing work within the ACQ Vantage community focused on leveraging AI technologies for business growth and efficiency.