I run a $180M+ company...here's how I'm using AI on a daily basis

AI Revolution and its Implications

Key Concepts: AI agents, digital employees, automation, K-shaped future, AI eval, hyperscalers, commoditization of software, AI hedge, Charisma discount, forced savings.

1. The Transformative Power of AI

• Main Point: AI is not just a technological advancement but a fundamental shift, comparable to the invention of the internet or fire.
• Quote: "It's like we've discovered a new continent with 10 billion people on it and they're all Geniuses and willing to work for free."
• Digital Employees: The concept of "agents" is reframed as "digital employees," highlighting the potential for AI to perform tasks previously done by humans.
• Impact on Jobs: Even with a pause on AI development and focusing solely on the rollout of existing technologies, it's estimated that 20% of current jobs could be eliminated through self-driving cars and AI agents.
• Time Compression: The pace of change is accelerating dramatically, with "decades happening" in a short span of time.

2. Practical Applications of AI

• Meeting Prep Agent: An AI agent provides a text message 30 minutes before each meeting, summarizing relevant information about the attendees and the meeting topic by scraping data from LinkedIn and email.
• Tool Used: Lindy, described as "Zapier for AI agents," is used to build custom AI workflows.
• Calendar Management: Lindy can analyze a calendar, gather information from the internet (using Perplexity and LinkedIn), and create meeting briefings.
• Restaurant Reservations: A Lindy bot can call restaurants that don't use OpenTable, make reservations using an AI voice, add the reservation to the calendar, and invite attendees, even handling allergy information.
• Email Management: Fixer is used to read and sort emails, prioritizing those requiring a response and drafting replies.
• HubSpot's AI Business Ideas: HubSpot has compiled a list of 200 AI business ideas, including an AI dressing room for e-commerce and AI tools for real estate brokers.

3. The K-Shaped Future

• Concept: The future is envisioned as a "K-shaped" divergence, where those who embrace and learn to use AI tools will accelerate their progress, while those who ignore them will fall behind.
• Competitive Advantage: Companies that adopt AI will outcompete those that rely solely on human labor.

4. AI Eval: Measuring AI Capabilities in Business

• Custom Evaluation: Instead of relying on abstract benchmarks, a custom "AI eval" is used to assess AI's ability to automate specific tasks within a business.
• Spectrum of Automation: The eval categorizes tasks based on the level of automation possible: "can't do it at all," "can do it but wouldn't actually do it," "can do it with a human in the loop," and "don't need a human doing this anymore."
• E-commerce Photography Example: Automating e-commerce photography, currently costing $5,000-$10,000 per month, is a key target for AI automation.
• Inventory Forecasting Example: AI is being explored to improve inventory forecasting, a challenging problem for all physical product brands.

5. The Rise of AI Co-workers

• Virtual Employees: The future includes virtual AI employees that will become commonplace.
• Timeline: Within 12 months, AI co-workers will be present in Slack. Within 24-36 months, these AI co-workers will appear as indistinguishable 4K video people on Zoom.
• Impact on Business Models: This will have staggering implications for business models and potential disruptions.

6. AI for Personal Use

• Assisting Non-Native English Speakers: AI tools like ChatGPT can help non-native English speakers write emails and other documents with proper grammar and formatting.
• Curriculum Creation: AI can be used to create curriculums and lesson plans for teachers.
• Medical Information: AI can provide explanations of medical test results, offering more patient and thorough explanations than doctors.

7. The Commoditization of Software

• Premise: Software, traditionally a lucrative business, may become commoditized due to the increasing ease of building software with AI tools.
• Competition: As more people can create software, competition will increase, making it harder for software businesses to thrive.
• Vertical Markets: Niche software businesses in specialized industries (e.g., funeral home management software) may be particularly vulnerable.
• Replit Example: Tools like Replit allow users to create basic software applications very easily.
• Counterarguments:
  • The last 10% of software development (fine-tuning and problem-solving) still requires significant effort.
  • Software with strong network effects, valuable data, or enterprise relationships will be more resilient.
  • The market for software will expand as AI enables the creation of new applications that were previously infeasible.

8. AI Hedge: Investing in the AI Revolution

• Challenge: Finding affordable investments that capture AI upside without the high valuations and risks associated with companies like Nvidia or OpenAI.
• Investment Thesis: Look for miscategorized and misunderstood companies in the public market.
• Iris Energy (IREN): A Bitcoin mining company with data centers located next to renewable energy sources.
• Misunderstanding: The company is perceived as a Bitcoin play, but its potential lies in flipping its data centers to compute for AI training and inference.
• Hyperscaler Demand: Hyperscalers (Amazon, Microsoft, etc.) need centralized data centers for AI workloads, and there is a limited supply of suitable locations.
• Downside Protection: The stock is relatively cheap based on its Bitcoin mining operations, providing downside protection.
• Upside Potential: If Iris Energy secures deals with hyperscalers, the stock could experience significant upside.

9. Avoiding the "Overthinking Olympics"

• Key Principle: Stop trying to be clever and focus on the obvious solution.
• Private vs. Public Markets: This principle is particularly important in public markets, where it's easy to get caught up in hype and speculation.
• Forced Savings: Private businesses and real estate can act as "forced savings" due to the difficulty of selling quickly, preventing impulsive decisions.

10. Conclusion

The discussion highlights the transformative potential of AI, its practical applications, and its potential impact on various industries. While AI presents significant opportunities, it also poses challenges, such as job displacement and the commoditization of software. The key takeaway is to embrace AI, learn how to use it effectively, and focus on the obvious solutions rather than getting caught up in complex strategies.