匠说vol.3讨论：2026年哪些IT岗位能保住？

本次圆桌讨论围绕 “2026年IT岗位能否保住、AI会如何冲击IT行业、初级岗位是否会消失、未来岗位会如何融合” 等关键议题展开。四位来自澳洲银行、政府部门、系统架构、全栈开发等一线的高级工程师与安全专家，基于真实职场经验，深入分析了 AI大规模渗透后的行业变化。老师们共同指出：IT行业不会消失，但初级岗位正在快速减少，重复型工作最容易被AI替代；而能创造价值、有架构思维、会做决策、能用AI提升效率的工程师，将在2026年后更具竞争力。 讨论特别强调了：过去前端、后端、测试、运维等分工明确的岗位，正逐渐被 “Full-stack + AI能力” 所整合；企业更倾向于招聘能跨端协作、熟悉AI工具链、并具备独立思考能力的工程师。此外，网络安全、数据工程、AI平台落地（如RAG、MCP）、云平台治理等领域的需求反而持续上涨，是未来更稳定的方向。 老师们也解答了大量学生关心的问题，例如：485签证是否会被歧视、CS毕业是否难就业、是否需要刷题、AI是否会让工程师代码变差、如何转行网络安全、如何准备第一份工作等。整体观点明确：未来3–5年，IT竞争力来自硬技能 + AI技能 + 沟通能力 + 持续学习能力，越能驾驭AI的人越吃香，而只依赖AI、没有基础能力的人反而会被淘汰。 这场讨论对所有准备在澳洲求职、想做职业规划、或正在迷茫 IT 方向的同学都具有极高参考价值。 This panel discussion brings together four senior professionals from Australia's banking sector, government cyber security division, system architecture, and full-stack engineering to explore the future of IT jobs in 2026, including whether roles can be preserved, how AI will transform the industry, and what skills will determine competitiveness. The speakers provide first-hand insights into the AI-driven restructuring that is already happening across development, testing, DevOps, data engineering, and cyber security. A key consensus shared by the experts is that while IT will not disappear, entry-level roles will continue to shrink, especially those involving repetitive or low-judgment tasks. AI adoption within enterprises—code generation, documentation, QA automation, risk assessment, operations—has significantly raised the baseline expectations for software engineers. To survive and grow, developers must be capable of using AI effectively rather than relying on it blindly. The speakers also highlight a strong trend toward role convergence: traditional boundaries between frontend, backend, QA, DevOps, and operations are becoming blurred. More companies now seek engineers who can operate across the stack and understand AI-assisted workflows. Meanwhile, certain specializations—such as cyber security, data engineering, risk management, cloud platform governance, and enterprise AI integration (RAG, MCP, LLM orchestration)—are expected to grow even faster due to rising security demands and the complexity of large-scale AI deployment. Other major topics addressed include: whether Australian employers prefer PR over 485 visas, the importance of communication skills in interviews, whether coding interviews remain relevant, the future of designers in the AI era, how CS students should prepare for internships, and how senior developers are reacting to AI augmentation. This discussion provides highly practical career guidance for students, graduates, and professionals planning to enter the Australian IT industry. The message is clear: future-proof IT talent must combine foundational technical strength, AI fluency, communication ability, and long-term learning habits. Those who can leverage AI to amplify productivity—not replace thinking—will thrive in the coming years.