Stefan Reichert

“Don’t be shy with AI.” That’s how I started a previous post sharing my thoughts on how to get better results when querying AI tools. It was less than a year after ChatGPT was introduced to the world (and interestingly, almost exactly two years ago from today!), and at that time, it was a funny little quip. But today, “prompt engineering” is serious business. In fact, it’s a real differentiator in getting the most out of AI, and one of the “five pillars of AI” I shared recently. Over the past two years, tools like ChatGPT, Gemini, Claude, and others have become significantly more powerful, and yet their outputs are really only as effective as the prompts we feed them. In other words, AI is not the same for everyone. The practitioner who learns to write prompts, or “talk to AI,” in the best possible way will get the most effective results. That’s why clear communication—and even a little bit of psychology—are now absolutely imperative to handle AI smartly. (As a side note, I find it interesting that while these LLMs are doing a significant amount of writing for people these days, written communication and critical thinking skills are more valuable now than ever.) Bill Gates once famously said, “The code is the documentation.” This idea implied that a programmer should always strive to write self-explanatory code, making it easier for others (or their future selves) to understand and maintain. Back then, no one cared about what the compiler translating the code did, as long as your code was clear, consistent and written with correct syntax. Now, in the AI era, prompting is the new coding! You're essentially writing instructions that the AI compiles into finished products. Just as nobody questioned how compilers worked as long as the code worked, the intricacies of AI processing become secondary if your prompts are clear and effective. In my view, the new professional superpower isn’t coding. It's becoming an “AI Whisperer” by crafting precise and psychologically tuned prompts that produce accurate, compelling and actionable AI-generated outputs. In the near future, plan to dive a bit deeper into specific prompt frameworks (RAFT, CART, etc.) I recently shared in my “Five Pillars” presentation, that when coupled with these writing styles, become incredibly effective prompting strategies. Until then, I’d love to hear your thoughts on this!

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2025 is shaping up to be an economically intriguing year. With global trading system shake-ups, tariff uncertainties, and geopolitical risks, investors are feeling the pressure. In the US, growth is slowing amidst a weak labour market and low consumer confidence. Germany's economy is expected to remain largely stagnant with minimal growth. Deutsche Bank Private Bank has just published an update to its 12-month outlook for markets and the economy, and we believe 2025 heralds a positive change. In the US, despite challenges, optimism could drive companies to invest in productivity-enhancing technologies and boost consumer spending. Factors like deregulation, high government spending, and the rise of US-dominated AI contribute to this optimism. In Germany, recent government investment programs are expected to boost growth, and we remain positive on corporate earnings and stock markets on both sides of the Atlantic. While temporary setbacks may occur, companies are likely to adapt to global tariff challenges. Investors should focus on potential winners in this era of technological and geo-economic change. For our full report on the year ahead, check out the link in the comments. #privatebanking #wealthmanagement (When investing, your capital is at risk)

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