Bluesky CEO Jay Graber强调，在人工智能飞速发展的今天，培养批判性思维至关重要。她指出，尽管AI能自动化许多关键的推理任务，但我们绝不能完全将思考外包给AI，人类的监督和判断是不可或缺的。Graber建议，应将AI视为辅助工具，而非完全替代人类的思考过程，例如通过手写论文来锻炼思维能力。此外，她还强调了通用技能的重要性，认为在AI提供专业知识的时代，辨别信息价值和灵活运用知识的能力将成为核心竞争力。即使AI能辅助写作或编程，掌握基础技能并能评估AI输出的质量依然是关键。

💡 **批判性思维是AI时代的基石**：AI虽能处理大量信息和执行复杂任务，但其决策仍需人类的监督和判断。完全依赖AI进行思考，可能导致决策失误，因为AI缺乏人类的上下文理解和综合判断能力，容易产出看似正确但实则错误的内容。因此，保持和发展自身的批判性思维能力，是应对AI挑战的关键。

✍️ **锻炼思维能力需亲力亲为**：Graber以写论文为例，建议学生可以通过手写等方式来主动锻炼大脑的思考能力，增强“批判性思维的肌肉”。这表明，即使有AI辅助，主动的、亲身的实践过程对于构建和巩固思维能力依然是不可替代的，旨在避免思维能力的退化。

🔄 **通用技能与AI协同发展**：在AI提供专业知识的时代，通用技能（如辨别信息、灵活运用知识）的重要性日益凸显。AI可以打包提供专业技能，但人类需要具备良好的判断力来决定如何使用这些信息，并有灵活性将知识转化为有用的实践。这意味着，掌握基础知识和培养适应变化的能力同样重要。

💻 **AI辅助不等于取代基础**：AI在编程、写作等领域能提供强大助力，如优化代码、生成文本。然而，Graber强调，这并不意味着人们可以放弃学习这些基础技能。不了解基础知识，就无法有效评估AI的输出质量，也无法真正掌握和运用AI带来的便利，因此，打牢基础是有效利用AI的前提。

Bluesky CEO Jay Graber said developing critical-thinking skills is "very necessary" in today's job market.She said human oversight is needed and that you shouldn't "fully outsource your thinking" to AI.Graber also believes that developing a generalist skillset is key to thriving in the AI era.

AI is may be transforming your job, but critical thinking is still key.

That's according to Bluesky CEO Jay Graber. She told Business Insider that developing critical-thinking skills is "very necessary" in this day and age.

"AI is able to automate a lot of critical-reasoning tasks, and if we fully outsource our own reasoning, it's actually not good enough to run in an automated fashion," said Graber, who previously founded a social network focused on events called Happening Inc.

If you're a student, maybe that means writing your essays by hand, Graber said. The idea is to build "the muscle for critical thinking," and keep it growing, the CEO said.

"You can't just fully outsource your thinking, or an essay, to AI," she said.

Graber said that Bluesky uses AI in areas like moderation and curation but never lets it operate autonomously. She said employees check and revise the output and use critical thinking to decide what actually gets implemented.

"When you let it run autonomously, it doesn't have actual context or intelligence, or the many things that we need as humans to make good decisions," Graber said. "And so it's producing stuff that sounds or looks right without actually being right."

Cultivating a range of skills

Graber advises embracing a generalist mindset. With AI providing "specialist expertise packaged up," the real value lies in discerning what's important.

"You need to have the good judgment of how you're going to use it, and then you have to have the flexibility to take that knowledge and do something useful with it," Graber said.

While these new skills are important to learn, Graber still believes job seekers should have a firm understanding of the basics of their industry.

"I think it's still very necessary to learn all these skills, whether it's writing or coding or anything else that you're going to use AI assistance for," Graber said.

Just because AI can write essays doesn't mean people shouldn't learn to write anymore, she said. The same applies to skills like coding, Graber said. While AI can help insert structure, figure out bugs, and generate code, Graber said you still need to have a solid foundation.

"If you don't know what good code looks like, if you don't know how to actually build a system, you're not going to be able to evaluate its output," Graber said.