Tech hiring has tightened as AI automates entry‑level coding and even senior roles. Firms such as Bunq report interns disappearing, while recruiters rely on bots that swallow hundreds of applications unseen. The scramble forces workers to ask how to stay valuable when large language models claim 90% of programming output.

Respondents ranging from VC partner Antler to AI startup Egregious.ai urge early adoption of prompting, AI‑agent management and model integration. They stress critical thinking, resilience and humility as the only traits machines cannot replicate. One baker‑turned‑techie warns that hands‑on crafts remain immune, while others argue the real moat is spotting and correcting AI mistakes.

The consensus: fluency with AI tools buys time, but long‑term survival hinges on fast learning, judgment and the ability to weave human empathy into decisions. Companies will likely outsource routine code to LLMs, creating demand for workers who audit outputs and maintain customer relationships. Mastering these hybrid skills now determines who keeps a seat at the table.

Investors watching the shift are already rewarding firms that embed AI governance, evident in recent funding rounds for AI‑audit platforms. As automation spreads, talent pipelines will prioritize interdisciplinary expertise, blending data science, product sense and client‑facing soft skills.