经济学家琳达·纳扎雷特指出，AI正重塑职场，威胁到包括入门级办公室工作在内的多个岗位。她建议掌握如同理心、好奇心等人类独有技能，以应对AI带来的变革。纳扎雷特强调，AI不仅能改变工作方式，更能取代整个职能，引发对生产力提升收益分配的担忧。她同时担忧AI将削弱未来管理人才库，因为入门级岗位的消失会中断人才培养链条。

😔 同理心等人类独有技能成为抵御AI冲击的‘铠甲’：经济学家琳达·纳扎雷特指出，AI难以复制人类的同理心、好奇心、韧性、创造力、动力、自我认知、服务导向及教学指导能力。这些技能使员工在AI变革中更具竞争力，构成对抗未来变化的‘铠甲’。

📈 AI对入门级办公室工作构成威胁：纳扎雷特担忧AI将取代入门级白领岗位，这可能破坏未来管理人才的培养管道，引发对职场中坚力量缺失的深层忧虑。

🤔 AI引发对生产力收益分配的疑问：她质疑AI带来的生产力提升和利润增长将如何分配，是否惠及广大劳动者，或仅流向少数人，以及是否会影响税收体系。

🌐 AI取代职能而非仅改变工作方式：与以往技术变革不同，AI能‘取代’完整职能，而非仅改变工作流程，这要求劳动者和雇主重新思考职业发展路径和技能投资策略。

🔍 AI影响显现但未来边界未定：尽管研究显示AI正重塑任务（如Indeed的GenAI技能转型指数），但微软对Copilot的200,000次对话分析表明，AI虽支持研究、写作和沟通等任务，但尚未能完全胜任单一职业，其最终影响仍有待观察。

An economist said skills like empathy and curiosity can help you build "armor" against AI.Linda Nazareth added she was concerned about AI replacing entry-level office jobs.She asked, "How are you going to have the middle and higher-level workers if you don't train them?"

You can master certain skills to build "armor" to defend against AI as it transforms the workplace, an economist and futurist has said.

In an interview on Sunday, Linda Nazareth said the best way to future-proof your career is to master skills machines can't replicate.

When asked by Canadian news show Global News which abilities might be "AI-proof," she said, "Resilience, creativity, empathy, motivation and self-awareness, curiosity, service orientation, and teaching and mentoring."

"Developing these skills gives you a little bit of armor against all the changes ahead," she added.

She said that AI was "somewhat different" from past technological shifts because, unlike earlier tools that merely changed how people work, AI can now "replace" entire job functions.

She asked who would own any increase in productivity and profits, adding, "Will it flow to workers at all? Will there be some benefits there? Will it be a small number of people? Will it show up in tax revenues?"

Nazareth also said she was concerned that AI was replacing entry-level white-collar jobs, and that this could break the talent pipeline for future managers.

She said, "It's a real concern of mine, because how are you going to have the middle and higher-level workers if you don't train them?"

Research shows AI is reshaping tasks — but leaders can't agree on how far it will go

Nazareth's comments come after Indeed published a study on which common work skills were most susceptible to AI transformation.

GenAI Skill Transformation Index, released last month, found that 41% of nearly 2,900 skills had the highest transformational potential, 26% were "highly" exposed, and 46% of skills in a typical job posting were likely to undergo a "hybrid transformation."

It also looked at jobs that were likely to be transformed, listing software development at the top of exposure while finding roles grounded in physical presence and human touch — like nursing — were less affected.

In July, Microsoft researchers analyzed 200,000 Copilot chats and reported that, while AI supports "many tasks, particularly those involving research, writing, and communication," they did not find anything to "indicate it can fully perform any single occupation."