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| AI Fundamentals...
When You Have No Time "I know I need to do more with AI, but I'm already burning the candle
at both ends."
Learning more about AI requires stepping away from the tasks demanding your attention right now. But here's the thing: that perfect "free week" isn't coming. And every day you wait, the gap between where you are and where you need to be gets wider. So, this week's newsletter offers bite-sized fundamentals you can start using right now. Learning a prompt framework will take five minutes -- just read the article and pick one. Then take ten minutes to set up your first AI project with custom instructions and persistent memory -- you will likely be blown away at the power of this simple AI feature. Finally, take another five minutes to practice a verification habit that will protect your credibility today and into the future. (And if you have time, understanding what LLMs really are can take another one or two minutes.) These are not comprehensive courses. They're practical starting points that are designed to easily fit into the gaps in your day. We're past the point where you can afford to procrastinate on learning more about AI. If you haven't already, now is the time to begin -- jump in! | 26% of jobs are highly transformable by AI according to Indeed's 2025 research, but only 1% are fully transformable making AI skill development urgent for staying relevant | Nearly all organizations will scale AI by year-end according to IBM's survey of 400 global leaders, creating urgent demand for employees who can work effectively alongside autonomous AI systems | Understanding how LLMs predict rather than "know" helps set realistic expectations and reveals why human oversight remains essential, especially for critical decisions and customer-facing content |
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| AI Isn't Taking Your Job, It's Redefining ItIndeed's 2025 AI at Work Report analyzed nearly 2,900 job skills and found that AI transformation is happening now, but not in the way many fear. Rather than wholesale job replacement, they are seeing task redistribution. And the critical finding is that only 1% of skills fall into the "fully transformable" category where AI could theoretically perform the entire task without human input. Tech and finance professionals face the highest degree of change because their work involves cognitive reasoning like coding, analysis, and writing. Meanwhile, jobs requiring physical presence or emotional intelligence like nursing and childcare remain largely protected. The real story isn't about AI replacing workers. It's about "hybrid transformation" where AI handles routine tasks while human judgment stays essential for accuracy, strategy, and relationships. Critical Take-away: Your job won't disappear, but the tasks that define it are shifting right now. And if you learn to leverage AI for routine tasks while focusing your effort on strategy, creativity, and relationships, you will become indispensable. And those who wait, risk becoming less relevant with each passing day. |
The AI Skills Gap Is Personal, Not Just CorporateIBM's 2025 Business Trends report surveyed 400 global leaders and found something that should get your attention: 77% of executives say they need to adopt AI quickly to stay competitive. Right now, only 30% of organizations are experimenting with AI in low-risk ways. But by the end of 2025, executives expect 90% of organizations to be either scaling AI across operations or using it to drive innovation. That's a massive shift happening this year. Personal Action: Don't wait for your employer to create a training program or mandate AI adoption. Start experimenting on your own with the building blocks in this newsletter. Companies are racing to deploy AI that can make decisions and solve problems autonomously. And the gap isn't the technology, it's in having people who know how to work alongside it. Read IBM's Full Report → Large Language Models (LLMs) ExplainedLarge Language Models are essentially sophisticated autocomplete systems. These models are given massive amounts of text (books, articles, websites, etc.), and they identify patterns in how words connect and sentences form. They actually convert words into numbers so they can process them mathematically and create a "word map" where similar meanings cluster together mathematically. When you ask an LLM a question, it breaks your input into words or word parts (called tokens), and it mathematically predicts the next most likely token, and it repeats this process until it completes an answer. And it does this so fast that it appears to be writing in full sentences and whole thoughts, but in reality, it is stringing together words, one at a time, into the most likely response it calculates. Strategic Takeaway: Understanding that LLMs predict rather than truly comprehend has important implications: they can make mistakes, reflect biases from training data, and produce confident-sounding answers that are completely wrong. This is why human oversight remains critical, especially when accuracy really matters. Read the Details →
Or, watch a very short 1-minute summary → | Quick WinsUse a Prompt Framework Stop guessing what to say to AI. The frameworks described in this article give you templates for every situation. Each provides a repeatable structure that works across ChatGPT, Claude, and Gemini.
→ Pick one framework that matches your most common use case, use it three times this week, and watch your results improve. | Leverage Context and Memory (VIDEOs) Whether you use Claude, Gemini, or ChatGPT, all the "big three" have the ability for you to set custom instructions, provide persistent context, and maintain memory within a dedicated workspace.
→ Watch one of the videos linked above, create your first project, and you'll be amazed at the productivity gains you achieve. | Dot Your Is and Cross Your Ts Believe it or not, two New York lawyers were fined $5,000 for filing a brief with fake court cases -- generated by ChatGPT. This isn't rare. AI can generate plausible-sounding information that's completely wrong.
→ Perform a simple 5-minute content and source verification drill. Build this habit now to avoid unnecessary consequences in the future. |
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| Industry DevelopmentsOpenAI Joins the AI Browser Revolution OpenAI is transforming the ChatGPT into an operating system for third-party apps, joining what we called the New AI Revolution where AI-enabled interfaces replace the traditional browser. This mirrors how Perplexity's Comet and other AI browsers are reimagining the browser as interface where autonomous agents complete tasks on your behalf. Watch this trend carefully! | California Sets First Major AI Safety Standards AI Safety Law SB 53 requires developers of advanced AI models to publicly disclose safety frameworks, report catastrophic risks to the state, and protect whistleblowers. The law applies to developers generating over $500 million annually and requires transparency reports before deploying new models. The law balances innovation with accountability and may serve as a template for other states unless federal lawmakers preempt state regulations. |
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