**Wall Street’s AI revolution is reshaping tech roles—here’s how top engineers can stay ahead**
Generative AI is transforming Wall Street, with technologists leading the charge by automating coding, testing, and system upgrades. As AI outperforms humans in speed and accuracy, firms like Goldman Sachs and Morgan Stanley reveal how engineers can adapt—focusing on business strategy, prompt engineering, and soft skills. Experts warn those who don’t embrace AI risk falling behind in finance’s fast-evolving tech landscape.
**Point72’s CTO says AI is coding better than him—here’s his advice for engineers**
Ilya Gaysinskiy, Point72’s CTO, jokes that AI now writes code faster and cleaner than he can—but he sees it as an opportunity, not a threat. His key advice? Adapt or get left behind, as Wall Street’s AI boom demands engineers who can leverage automation while staying ahead of rapid tech shifts.
**Morgan Stanley’s tech chief reveals how engineers can thrive in the AI era**
Hina Shamsi, Morgan Stanley’s CTO, warns engineers must evolve from pure coders to strategic “business technologists” as AI takes over routine tasks. The key to success? Understanding how tech drives business value—not just writing flawless code.
**Goldman Sachs exec shares the new must-have skill for AI-powered engineers**
Melissa Goldman, a Goldman Sachs partner, says engineers must master “prompt engineering” to get the best results from AI tools. With automation handling grunt work, the future belongs to those who can design, manage, and optimize AI systems effectively.
**Wall Street recruiters reveal what AI-savvy engineers need to land top jobs**
Recruiters like Selby Jennings’ Ben Hodzic say firms now prioritize engineers who’ve built AI systems—not just used them. The most sought-after candidates? Those who can replicate AI solutions and articulate their technical architecture with precision.