【求职策略】AI时代如何被顶级公司录用 · 7位高管亲述

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P1 · 【求职策略】AI时代如何被顶级公司录用 · 7位高管亲述 p01 中英字幕 (P1)

【求职策略】AI时代如何被顶级公司录用 · 7位高管亲述 p01 中英字幕 (P1)

发布于 2026-09-16 · 时长 22:38

字幕摘录

时间	英文	中文
0:00	Breaking into the job market right now is harder than it has been in 37 years,	现在进入就业市场比37年来更困难
0:06	harder than during the Great Recession.	比大衰退时期还难
0:08	244 people apply to the average open role.	244人申请担任一般公开角色.
0:11	And a great resume isn't enough anymore because a machine reads it before a person does.	一个伟大的履历已经不够了 因为机器在一个人之前读它。
0:17	If it doesn't have the right keywords, nobody ever sees it.	如果它没有正确的关键词, 没有人看到它。
0:21	And if you load it up with keywords, it starts looking like AI wrote it	如果你装上关键词, 它开始看起来像AI写的
0:25	and half of hiring managers throw these out.	一半的员工都丢掉了
0:27	Some people tell you a degree still matters.	有些人告诉你学位还是很重要的
0:30	Others say it stopped mattering completely as long as you have three specific skills.	其他人说,只要你有三种特定的技能,它就完全不再重要了.
0:34	So what is actually going on?	到底发生了什么?

展开字幕全文（464 条）

序号	英文	中文
1	Breaking into the job market right now is harder than it has been in 37 years,	现在进入就业市场比37年来更困难
2	harder than during the Great Recession.	比大衰退时期还难
3	244 people apply to the average open role.	244人申请担任一般公开角色.
4	And a great resume isn't enough anymore because a machine reads it before a person does.	一个伟大的履历已经不够了 因为机器在一个人之前读它。
5	If it doesn't have the right keywords, nobody ever sees it.	如果它没有正确的关键词, 没有人看到它。
6	And if you load it up with keywords, it starts looking like AI wrote it	如果你装上关键词, 它开始看起来像AI写的
7	and half of hiring managers throw these out.	一半的员工都丢掉了
8	Some people tell you a degree still matters.	有些人告诉你学位还是很重要的
9	Others say it stopped mattering completely as long as you have three specific skills.	其他人说,只要你有三种特定的技能,它就完全不再重要了.
10	So what is actually going on?	到底发生了什么?
11	I asked people who run companies employing more than 30,000 people	我问谁经营公司 雇用超过三万人
12	and every one of them decides who gets in on a daily basis.	他们每个人都决定谁每天进来。
13	By the end of this video, you'll have a step-by-step plan for getting hired in 2026.	到了这段视频的结尾,你会有一个2026年被雇佣的逐步计划.
14	Skills they're hiring for, what to bring instead of a resume,	他们雇佣的技能, 带什么代替简历,
15	and the exact thing to say in the interview.	以及采访中要说的
16	As a bonus, you get numbers from inside LinkedIn on how fast your job is changing.	作为奖金,你从LinkedIn内部得到数字,显示你的工作变化有多快.
17	You send a resume and then you wait.	你寄简历然后等
18	Maybe something comes back three weeks later, usually nothing does,	也许三周后有什么事情发生 通常没什么
19	and you never actually find out what happened to it in between.	你却一直不知道这之间发生了什么
20	So I put that exact question to Sal Khan who runs Khan Academy and hires constantly.	所以我把确切的问题告诉了萨尔·可汗,他管理着可汗学院,并经常雇用他。
21	And he was honest with me about it.	他对我说实话
22	Imagine this, someone today graduates from Stanford,	想象一下,今天从斯坦福毕业的人
23	pick your major, good major, with a 3.9 GPA.	用3.9GPA来选你的主修
24	When I look at that resume, I say, okay, probably smart, got into Stanford, good GPA.	当我看那张简历时,我说,好吧,也许很聪明, 进了斯坦福大学,很棒的GPA。
25	I don't know if those skills they learned are going to be directly transferable,	我不知道他们学到的这些技能是否会被直接转让,
26	but there's probably someone I can work with.	但也许有个人我可以工作。
27	Leadership skills, I don't know, looking at their GPA.	我不知道 看看他们的GPA
28	Maybe, oh, yeah, okay, maybe they're the class vice president	也许,哦,是的,好吧, 也许他们是班副总裁
29	or if they were the co-captain of the lacrosse team.	或者如果他们是曲棍球队的队长
30	Okay, maybe they have leadership skills.	好吧,也许他们有领导技能。
31	I don't know, but that's only you're kind of reading-	我不知道,但这只是你 那种阅读 --
32	There's signals, not evaluation.	有信号,不是评估
33	And what I normally do now when I see a resume,	而现在我通常做的 当我看到简历,
34	even someone who's been working, no matter what they write,	即使有人一直在工作, 不管他们写什么,
35	我在找YouTube的视频
36	I look for some evidence of like, how do they communicate?	我寻找一些证据 喜欢, 他们如何沟通?
37	How do they, and then you try to do it in an interview,	他们怎么做,然后你试图在采访中做到这一点,
38	which is just, you only have a few hours to do it.	只是,你只有几个小时的时间去做
39	When we're hiring, my team is on your social media profiles the same afternoon.	当天下午 我的团队在你的社交媒体上
40	We're asking around for references and we always end up on LinkedIn	我们到处找推荐人 总是在LinkedIn上
41	because that's where the real picture is.	因为这就是真实的画面
42	所以我把问题交给了Ryan Roslansky 他经营了LinkedIn公司六年
43	and took it from 700 million members to 1.3 billion.	并把它从7亿会员 带到13亿会员。
44	What does LinkedIn's own data say about where careers are going?	LinkedIn自己的数据对职业走向有什么看法?
45	Since the beginning of LinkedIn, the feature that is requested most from members	自LinkedIn开始以来,要求成员最多的功能
46	is show me what a typical career path is supposed to look like.	给我看一个典型的职业道路是什么样子。
47	LinkedIn, 您拥有所有的数据 。
48	So if I want to become a CFO or a CEO or an accountant or whatever,	所以如果我想成为首席财务干事 首席执行官 会计之类的
49	what is the path that people take?	人们走的道路是什么?
50	And the reality is in the data, there is no such thing as a linear career path.	而现实存在于数据中,没有线性的职业道路.
51	Like it's all over the place.	如是一切众生.
52	So the more that people first and foremost recognize	所以人们越是认识到
53	that you have to take your career into your own hands,	让你的事业掌握在自己手中
54	there's no natural path that exists that you just get on,	没有什么自然的路径存在 你刚刚得到,
55	I think is really, really important.	我觉得这很重要
56	Right now, it's more important than ever though,	现在,这比以前更重要,
57	because skills are changing.	因为技能在改变
58	The types of skills that are necessary for a specific role on LinkedIn	在链接上发挥具体作用所需的技能类型 内
59	have changed north of 25% over the last couple of years alone.	仅仅在过去的几年里,就已经向北变化了25%。
60	We expect they'll change by 70% by 2030,	我们预计到2030年他们会改变70%
61	largely influenced by AI and new tools and new ways of doing these professions.	主要是受AI和新工具和新职业方式的影响。
62	So I often, when I talk to people about what they should do with their career,	所以我经常,当我和人们谈论 他们应该做什么 他们的职业,
63	it's less about where do you want to be in five years,	5年后你想去哪儿就少了点
64	and it's more about over the next few months,	接下来的几个月里
65	what new skills do you want to learn?	你想学什么新技能?
66	Because to your point, these roles are flattening,	因为在你看来,这些角色是扁平的,
67	general lists are more and more where people are going these days.	这些天人们去的地方越来越多
68	So we always thought that the extension of your LinkedIn profile	所以我们一直认为你的LinkedIn简介的扩展
69	isn't just where you went to school, where you've worked,	不只是你上学的地方,你工作过的地方,
70	what skills you have, but the ability to demonstrate the actual knowledge	你拥有什么技能,但 展示实际知识的能力
71	that you have in your head by posting on LinkedIn.	在 LinkedIn 上贴出您脑中的信息 。
72	Being findable and being chosen are two completely different things.	可以找到和被选中是两个完全不同的东西。
73	And the gap between them is exactly where people get stuck for months	而他们之间的鸿沟 正是人们被困住了几个月的地方
74	without ever understanding why.	永远不明白为什么
75	Because what employers are scanning for isn't sitting on your profile at all.	因为雇主正在扫描的东西 根本不在你的档案里
76	I heard a version of it from everybody I spoke to,	我听到每个我说话的人的版本
77	but Yamini Rangan is the one who laid the whole thing out in a single answer.	但Yamini Rangan是把整个事情 放在一个答案。
78	She runs HubSpot, a publicly traded company,	她经营一家公开交易的公司HubSpot
79	thousands of employees, and she names three specific things	成千上万的员工, 她命名三个具体的事情
80	she hires for in 2026 in the era of AI.	她雇佣2026年的AI时代。
81	The way I would frame it, we are looking for explorers.	ит代刚
82	And I'll tell you what that means.	我会告诉你这意味着什么
83	I think there's a fundamental shift that's happening with AI	我觉得AI有根本的转变
84	where not everybody knows exactly how to go from point A to point B.	在那里,并不是每个人都知道如何从A点到B点。
85	If you knew exactly, and think about them as map readers,	如果你确切地知道, 并思考他们作为地图阅读器,
86	you know exactly what point A is, point B is.	你知道A是什么,B点是什么。
87	You read the map because someone has figured out the path	你读地图是因为有人找到了路
88	and you follow the directions and you get there.	顺着方向走,然后到那里
89	That is what we were doing because you had playbooks that worked	这就是我们在做什么 因为你有游戏本 工作
90	and you were really clear about following the playbook.	你很清楚要遵守剧本
91	Today with AI, there is no map.	今天,AI没有地图。
92	So you have to get comfortable with being an explorer.	所以,你必须适应 作为一个探险家。
93	And there are a few skill sets that are important.	还有几套重要的技能
94	The first one is that you have to have almost a scientist mindset.	第一个是,你必须有一种几乎是科学家的心态。
95	And I look for people who are comfortable experimenting	我寻找那些舒服的实验者
96	and having a hypothesis, proving if the hypothesis is right or wrong	并有一个假设,证明该假设是否正确
97	versus saying there is a set path, right?	而不是说有一条固定的道路,对不对?
98	Like experimentation, moving quickly, having a hypothesis,	就像实验,快速移动,有一个假设,
99	and proving whether you're right or wrong.	证明你是对是错
100	That is like skill number one.	这就像第一技能。
101	And I look for examples of when they have done it	我找一些例子来说明他们什么时候这样做了
102	or how they have comfort around it.	或他们是如何享受的。
103	That's like number one thing that I look for.	这就像我寻找的头一件事。
104	The second is just this passion and curiosity to go deep in the work.	第二,就是这种深入工作的热情和好奇心。
105	What is happening is that in order for AI to be effective,	发生的事情是,为了使AI有效,
106	you got to be close to the ground.	你必须接近地面。
107	You have to know what parts of the workflow are broken,	你必须知道 工作流程的哪些部分被打破,
108	what parts of the workflow can actually get value from AI.	哪些部分的工作流程可以真正从AI获得价值.
109	And you got to get like really close to the ground in it.	你必须像 真正接近地面。
110	And I talk to customers, but we also do a Gemba walks.	我和顾客交谈,但我们 也做一个Gemba散步。
111	We look at like how people are using different technology.	我们看着人们如何使用不同的技术。
112	I'm looking for people like that who are very close to the ground,	我在找那种离地面很近的人
113	close to the process, who can actually make changes.	接近过程,谁能真正做出改变.
114	That's the second one.	这是第二个。
115	And then the third is really what I would say	然后第三个才是我要说的
116	as just curiosity and customer orientation.	只是好奇心和客户导向
117	Again, my focus has been don't forget about AI.	再说一遍,我的重心是不要忘记AI
118	Use it to solve something for your customers.	用它来解决你的客户。
119	So can you be super curious and ask the right questions	所以,你可以 超级好奇,问正确的问题
120	of your customers to get the right thing?	让你的客户得到正确的东西?
121	And if you have the ability to experiment,	如果你有能力做实验
122	the ability to stay close to work, the ability to stay curious,	保持工作接近的能力 保持好奇的能力
123	then you're actually going to thrive in the world of AI.	那样你就会在AI的世界中蓬勃发展
124	If you are stuck with your playbook,	如果你坚持你的游戏本,
125	if you are very comfortable with going from point A to point B	如果你对从A点到B点很满意
126	in a path that someone else has prescribed,	在别人规定的道路中,
127	then you're just not going to be successful in the world of AI.	那你不会在AI世界中成功
128	That's what I'm looking for.	即是所寻.
129	Here is how I test for that when I'm the one hiring.	我雇人的时候 就是这样测试的
130	You don't have to write code.	你不必写代码
131	You just have to know which tool does the thing.	你只需要知道哪个工具能做这个
132	It's on the list for every single role we hire for,	上面有我们雇的每个角色
133	either the skill itself or a real appetite to go and learn it.	要么是技术本身 要么是真正想要去学习它。
134	For example, my YouTube producer built something this year	例如,我的YouTube制作人今年造了
135	that a few years ago would have taken an actual engineer.	几年前 就会有真正的工程师
136	And we keep building stuff like that because when I was hiring them,	我们不断制造这样的东西 因为当我雇用他们时
137	I was looking for this itch to build something, to automate something.	我在找这个痒痒的东西来制造, 自动化的东西。
138	And they absolutely love that because that gives them more time	他们绝对喜欢,因为这给他们更多的时间
139	to actually think strategically and do more fun stuff.	真正思考策略 做更多有趣的事情。
140	Another guest that I wanted to highlight in this video is Graham Lee.	我想在这段视频中强调的另一个客人是Graham Lee.
141	He co-founded Gamma that we use all the time.	他共同创立了伽玛 我们一直使用。
142	And I asked him, do you have anyone on this team who does this best?	我问他,你有没有人在这个团队 谁做的最好?
143	And by that, I mean automating different processes.	由此,我的意思是自动化不同的过程。
144	And he didn't name an engineer at all.	他完全没有给工程师起名
145	I feel like nearly all employees are what I would still define as generalists today,	我觉得几乎所有的员工都是我今天仍会定义为通才的,
146	even though they spike in different areas.	即使它们在不同的地方猛增。
147	So, for instance, our head of design, exceptionally talented designer,	所以,比如说,我们的设计主管, 非常有才华的设计师,
148	very visual, but he also knows how to code.	非常直观 但他也懂得如何编码
149	And he was coding even before Vibe coding was more accessible to most designers.	甚至在Vibe编码被大多数设计者更方便使用之前,他就在编码.
150	But the fact that he can now ship something end-to-end, test it,	但是他现在可以把东西运去 测试一下
151	get early versions into the hands of users, that's a superpower.	把早期版本交给用户,这是超能力.
152	And so he can cross domains where traditionally it'd be a designer or a UX researcher	这样他就能跨越传统上是设计师或UX研究员的领域
153	that does a little bit of some of this early investigation or early research.	早期调查或早期研究也有所作为
154	He can do that himself, develop the early prototype, ship the early prototype,	他可以自己做,开发早期的原型,运送早期的原型,
155	get something into the hands of users to actually give feedback on,	得到一些东西在用户手中 真正提供反馈,
156	and oftentimes then ship something into production, almost completely end-to-end.	并且经常将一些东西运入生产, 几乎完全端到端。
157	That just wasn't really possible before.	这之前真的不可能
158	But for us, we try to look for the spirit of a generalist across every function,	但对我们来说,我们试图寻找一个通俗主义者的精神 跨越每一个功能,
159	whether it's sales, marketing, engineering, product design.	无论是销售,营销,工程,产品设计。
160	And I think that allows you to have a relatively lean team	我认为这样你就可以拥有一个相对精干的团队了
161	that can, again, play across multiple domains at any given point in time.	可以在任何特定时间点上跨越多个域。
162	And I think in general, that just means a team that can be pretty collaborative too,	一般来说,那只是意味着一个团队 可以相当合作,
163	because you have deeper empathy for what each function can bring to the table.	因为你对每个功能能带来什么有更深的同情心。
164	And when you're bringing something to an engineer, for instance,	举例来说 当你给工程师带东西的时候
165	you've already done so much work to think through, like,	你已经做了这么多的工作 思考,喜欢,
166	okay, how do I make this right so the handoff is as seamless as possible?	好吧,我如何做这个正确 所以交割尽可能无缝?
167	These things, I think, are hard to quantify.	我认为,这些事情很难量化。
168	But when you have a team of generalists, there is some magic in working together.	但是,当你们有一支通论者队伍的时候,合作是有一些魔法的.
169	AI changed a lot about how hiring works on both sides of the table.	AI在两边的招工方式上变化很大.
170	People who are job-hunting right now, tell me this interesting story	现在在找工作的人,告诉我这个有趣的故事
171	where they record every conversation, then run it through an LLM,	他们记录每一次谈话 然后通过LLM
172	and ask where they were vague and how they could have answered stronger.	问他们在哪里模糊,他们怎么回答得更有力。
173	I really like that approach because I do that myself.	我很喜欢那种方法,因为我自己这样做。
174	I analyze every single podcast script and see how I did versus what can I do better.	我分析了每一个播客的剧本, 看看我怎么做到的,
175	And we also do the same thing with our business calls,	我们也做同样的事情 我们的业务电话,
176	because when a call is not recorded, a lot of context just disappears.	因为当一个电话没有录音的时候,很多上下文就消失了.
177	And that context is what the next decision depends on.	下个决定取决于这个背景。
178	The tool I want to tell you about is built exactly for this.	我想告诉你的工具 正是为此而建的。
179	And it is called Transcripter.	并称为译者.
180	It joins your call as a bot, records transcripts, and when the call ends,	它与你的电话作为一个机器人, 记录誊本, 当呼叫结束,
181	you have a structured summary with the action items pulled out,	你有一个结构化的总结 与动作项目拉出,
182	ready to share with your team.	准备与你的团队分享。
183	Another useful part is the search across transcripts of all your past calls.	另一个有用的部分是搜索你过去所有通话的记录
184	Before a call, you look up what was promised to you and what you promised,	在你接到电话之前,你应当期待你所应许你的和应许的,
185	and it pulls the exact line out of a conversation nobody remembers	它从一个没有人记得的对话中 抽出准确的台词
186	till you start from where you actually left off.	直到你从你真正离开的地方开始
187	And all of it sits behind enterprise-grade security,	并且它都坐落在企业级的安全,
188	so it works whether you're a five-person startup or a larger org.	所以不管你是五人组还是大个组都行
189	Try Transcripter with the link in the description,	尝试在描述中的链接的转写器,
190	and if you sign up with your work email, you get 300 free minutes.	如果你用工作邮件报名, 就可以有300分钟的免费时间。
191	And you're probably thinking, so I keep doing my current job perfectly.	你也许在想 所以我继续做我现在的工作
192	And at the same time, I teach myself technical skill for a job I don't even have yet.	同时,我教自己 技术技能的工作,我还没有。
193	That's two jobs, and almost nobody has room for two jobs.	这两份工作,几乎没人有两份工作的余地。
194	So ask Aaron Levy how technical you actually have to be.	问亚伦·李维你到底有多技术
195	He's been running Box, again, a publicly traded company, for 20 years,	他又经营Box公司20年了
196	and he hires across marketing, sales, finance, engineering, all of it.	他雇佣了整个市场营销 销售 金融 工程
197	He drew a very specific line, and then he told me exactly which tools to open first.	他画了一条非常具体的台词,然后他告诉我哪些工具可以先打开.
198	When you're hiring now, how is it different from hiring five years ago?	当你现在雇用, 这与五年前的雇用有什么不同?
199	What are you looking for in a candidate?	你在找什么候选人?
200	So I think right now is a great time to be going deeper, technically.	所以,我认为,从技术上讲,现在是一个更深入的好时机。
201	It doesn't mean you have to be vibe coding all the time and building entire products,	这并不意味着你必须 气温编码所有的时间 和建造整个产品,
202	but you should try and really understand what is the agent doing?	但你应该试着真正了解 特工在做什么?
203	How does it work?	怎么会这样?
204	How does MCP work?	MCP如何运作?
205	How do CLIs work?	国家领导才能如何运作?
206	How do skills work?	技能如何运作?
207	And getting really well versed in that.	而且非常精通于这个
208	The people that are doing that	这样做的人
209	will have a huge leg up in the next three to five years,	在接下来的三到五年里,会有一个巨大的腿,
210	because all of these companies will be hiring for people that can do that within their workflows.	因为所有这些公司都会雇用 能在工作流程中做到这一点的人。
211	So we're definitely looking for people whose technical acumen is growing,	所以,我们肯定 寻找的人的技术敏锐正在增长,
212	whose AI savviness and fluency is growing.	他们的人工智能越来越温柔和流利
213	You want to be using these tools in your free time as much as possible,	你想在你的空闲时间尽可能使用这些工具,
214	so you again understand how they're working and what's going on.	所以,你再次明白 他们是如何工作的 和发生了什么事。
215	At the same time, I don't think a lot of the...	同时,我不怎么认为...
216	I think it actually still matters that you have	我认为这实际上仍然很重要 你有
217	some degree of domain expertise.	某种程度的领域专长。
218	You're really good at marketing.	你真的很擅长营销
219	You understand what customers want.	你知道顾客想要什么
220	You're really good at selling.	你真的很会卖东西
221	You're good at product management and interviewing customers and assessing markets.	擅长产品管理,采访客户,评估市场.
222	Those are these timeless skills that transcend any kind of technology revolution.	这些是超越任何技术革命的永恒技能。
223	AI is just a way of augmenting those domain skills.	人工智能只是增强这些领域技能的一种方式。
224	In some respects, any role that we're hiring for, marketing, sales, finance, engineering,	在某些方面,任何我们雇用的角色, 营销,销售,金融,工程,
225	et cetera, we need all of those domain skills, but also we need you to now be	等,我们需要所有这些领域技能, 但我们也需要你现在
226	increasingly AI-fluent or a little bit more technical.	人工智能流畅度越来越高 技术水平也越来越高
227	Can you recommend top three apps that people should be using?	你能推荐前三名的应用程序吗?
228	Probably won't be much of a surprise.	可能不会是什么惊喜
229	I would download Codex.	我会下载代码
230	I would download Cloud.	我会下载云。
231	Even for non-technical people, Codex?	即使对非技术人员来说, Codex?
232	100%.	百分百的 百分百的 百分百的
233	Partly is because Codex is becoming more inclined toward knowledge work use cases.	部分原因是Codex越来越倾向于知识工作使用案例。
234	What should they be doing with it?	他们拿它做什么?
235	Automate a process within their...	在他们的...
236	Automate a process.	自动进程 。
237	Give it just a crazy problems and see what happens.	给它一个疯狂的问题 看看会发生什么。
238	Go do this research in this market.	在市场上做这个研究
239	Wire up multiple MCP servers to data sources you have,	把多个MCP服务器连接到您拥有的数据源,
240	so you understand how does it work?	所以你明白它是如何工作的吗?
241	How is it querying that other system?	它是如何查询 其他系统?
242	How is it accessing my email?	它怎么访问我的电子邮件?
243	Like, oh, scary.	像,哦,吓人。
244	Oh, no, actually, I understand it now.	哦,不,实际上,我现在明白了。
245	Get a sense of how that all kind of is working together.	体会一下这些东西是如何合作的
246	I think just any one of the top AI tools for productivity, maybe for coding,	我认为只是任何最高级的AI工具 生产率,也许用于编码,
247	is a good way to get started and it'll already get you like 90% of the way there.	这是开始的好方法 它已经让你喜欢90%的路。
248	所以说Codex?
249	Probably Cloud Cowork, Perplexity.	可能是云合作,很复杂
250	These are just easy ones to just get started with,	这些只是容易开始的
251	and you'll have a good sense of kind of what the market looks like.	你会对市场有什么感觉
252	There is one more side of this market I want to talk about, and that's junior roles.	这个市场还有一面我想谈 那就是初级角色
253	Job openings in the US fell to $6.5 million at the end of last year, the lowest level since 2020,	去年年底,美国的就业机会降至650万美元,是自2020年以来的最低水平,
254	and 43% of recent graduates are now working in jobs they don't require the degree they paid for.	43%的新毕业生现在从事的工作 不需要他们支付学位。
255	So the bottom rung has genuinely got harder to reach.	因此,下层的急转直下 更难到达。
256	But the more of those conversations I had, the more it looked like what's actually shrinking is	但我的谈话越多, 越看似真正缩小的是
257	junior role as we used to define it.	我们用来定义它的初级角色
258	The version that was basically a list of tasks	基本上是一个任务列表的版本
259	somebody handed to you.	有人交给你了。
260	Luana Lopez Lara co-founded Caoshi,	卢安娜·洛佩兹·拉拉共同创立了考希,
261	a prediction market whose entire business is running the world on the numbers and	一个预测市场 其整个业务 管理世界的数字和
262	pricing what happens next.	定价接下来会发生什么。
263	So basically they're predicting all types of things.	所以基本上他们预测了所有类型的事情。
264	And nobody has better tools for seeing where all of this is going.	没有人有更好的工具来观察这一切的走向。
265	How are you hiring these days?	这些天你怎么样?
266	How has it changed from the last year?	与上年有何变化?
267	We like being very lean.	我们喜欢很瘦
268	So we were 170 people at the moment and people that work very well	所以,我们是170人 现在,和工作很好的人
269	are very low ego and willing to learn a lot.	非常低的自负 愿意学习很多。
270	I mean, we're very direct culture.	我的意思是,我们是非常直接的文化。
271	We really like being efficient with time.	我们真的喜欢高效的时间。
272	So that means like feedback is like,	所以,这意味着像反馈是,
273	I don't like something that I'll tell you right now and I'll be honest about it and you have to be	我不喜欢我现在会告诉你的事 我会诚实的,你必须
274	in that kind of like cultural side is very important for us.	在那种文化方面,对我们非常重要。
275	But realistically, the two things that matter the most is just working really hard and having	但实际上,最重要的两件事 就是努力工作,并拥有
276	like a commitment to work above everything else.	就像承诺要超越一切
277	When I say commitment to work, it's more about	当我说承诺工作,它更多的是
278	when we ask you to do something and we trust you with something,	当我们要求你做一些事情 我们信任你的东西,
279	we can trust that it's going to be done great.	我们可以相信它会做得很好。
280	It's not about number of hours.	与时数无关.
281	It's not about these things.	这不是关于这些事情。
282	Is it about AI as well?	是关于AI的吗?
283	It is, but so in the engineering side, in the engineering interview, we put a lot of time into	是的,但是在工程方面, 在工程面试中, 我们投入了很多时间
284	and kind of like, now you can use AI in the interviews and it's completely fine.	有点像,现在你可以使用AI 在采访,它完全罚款。
285	And all of that, and actually in a lot of the systems review that we do interviews on	所有这一切,实际上 在很多系统审查 我们做访谈
286	systems review or like previous project review is kind of a big component of that.	系统审查或像以前的项目审查是其中的一大部分。
287	Now a lot of the things that we used to look at like two years before of like,	现在很多东西,我们过去看 像两年前,
288	oh, can someone actually do this or do that?	哦,能有人真的这样做还是这样做?
289	But now like, whatever, like that's just not relevant.	但是现在,像,不管, 像,只是无关紧要。
290	We are actually talking about in design now, I told you that we're trying to get more and more	我们实际上在谈论 设计,现在,我告诉你, 我们试图得到越来越多的
291	on the figure out how to use AI in a better way in design.	在设计上如何更好地使用AI。
292	In our design interviews,	在我们的设计访谈中,
293	we're starting to be like, has this person used a lot of AI?	我们开始喜欢, 这个人使用了很多AI?
294	So it's spreading to design.	所以它传播到设计。
295	What about knowledge work?	知识工作呢?
296	Less so.	少顷.
297	We need to do one thing actually, funnily enough, in the legal team,	我们需要做一件事 实际上,有趣的是, 在法律团队,
298	we're starting to do that a lot too.	我们开始做很多。
299	To be like, because we have so many cases and litigation,	因为我们有很多案子和诉讼
300	we're trying, we're starting to be a lot more like, how have you used AI for this?	我们正在努力,我们开始 更多喜欢, 你怎么用AI做这个?
301	How would	怎么会
302	you use AI for that?	你用AI做这个?
303	It's less about, and it kind of adds, goes back to the willingness to learn.	少了一点,也有点补充,回到了学习的意愿.
304	I think it's less about them having the answers or having used it to do something amazing before,	我觉得他们有答案或用它做一些前所未有的事
305	but more like, are they willing to do it?	他们愿意这么做吗?
306	Because we have, again, like our engineering team,	因为我们再次, 像我们的工程团队,
307	what we're doing is that we're kind of putting them, the AI group in like design, and then they're	我们正在做的是,我们种 把它们,AI组 像设计,然后他们
308	going to go into legal and try to kind of like, how do we help them to do it?	打算进入法律界 尝试种喜欢, 我们如何帮助他们做到这一点?
309	And we just want	我们只想
310	people to be open-minded.	人们要开明。
311	And the answer is like, how they used to work is not the way that we're	答案是 他们以前的工作方式不是我们
312	going to work at Cauchy and the world's going to do.	要去考奇工作 全世界都会这么做
313	And we just need them to be open-minded	我们只需要他们开明
314	and have like low ego to figure out like, oh, this thing that I thought I was very good at is	并且有像低自负 找出喜欢,哦, 这个东西,我觉得我很擅长
315	actually, I don't need to do anymore.	其实,我不需要再这样做了。
316	When we were hiring a social media manager this year,	今年我们聘请社交媒体经理时
317	every single question asked was some version of the same thing.	每一个问题都是一样的
318	How would you automate this?	如何实现自动化?
319	Where does AI go into this process?	大赦国际将如何参与这一进程?
320	And honestly, I don't need anyone to have the right answer.	老实说 我不需要任何人有正确的答案
321	If somebody says, I'm not sure, but here is how I test it.	如果有人说,我不确定,但是我是这样测试的。
322	Here are the two things I try first.	这是我先试的两件事
323	That's exactly what I want to hear.	这正是我想听到的。
324	Because in the 10 seconds it takes them to say it,	因为在10秒内 他们需要说出来,
325	I can see the entire shape of how they think.	我可以看到他们的想法
326	Connor Grannon告诉我一些非常接近的东西
327	Doesn't that just break your heart when people are struggling to find work, right?	当人们为找到工作而挣扎的时候,你是不是心碎了?
328	And with AI,	和人工智能,
329	I think that we're in a zone right now where the opportunity is absolutely colossal for this reason.	我认为我们现在处在一个区 机会是绝对巨大的 原因。
330	It requires understanding AI and really using AI well is an incredible tool because you don't	它需要理解AI,真正使用AI 是一个不可思议的工具 因为你没有
331	have to learn anything.	什么都得学
332	You don't need to be a coder.	你不需要做一个编码员。
333	You don't need to be anything.	你不需要做任何事情。
334	Literally,	从字面上来说,
335	all you need to be able to do is talk like a human and everybody can do that.	你只需要像人一样说话 每个人都可以做到
336	That's number one.	即第一义.
337	But number two, and this is the really important thing, it's not enough to just go into a job	但第二,这是真正重要的是, 仅仅去工作是不够的
338	interview and say, I know how to use AI.	面试并说, 我知道如何使用AI。
339	Because everybody can say that.	因为每个人都可以这么说
340	And it's sort of like	这有点像
341	Excel的东西。
342	Everybody uses it, but people are using it to make a grocery list or something	每个人都用它,但人们用它 做杂货单什么的
343	like that, not to transform how a hedge fund operates.	这样,不是要改变对冲基金的运作方式。
344	The holy grails, can you invent the	圣杯,你可以发明
345	work of everybody around you?	你周围所有人的工作?
346	So if you go into a job interview, and this is what I tell everybody	所以如果你去面试, 这就是我告诉大家的
347	to do, go into a job interview prepared with what they do.	参加他们准备的面试
348	They'll have given you a sense	他们会给你一种感觉
349	of what you should do.	你该做什么?
350	So go in there and say, hey, here's my domain expertise, but let me just	所以,去那里说,嘿,这是我的专长, 但让我只是
351	show you what I would do with AI and how I would reinvent this process.	告诉你我会怎么处理人工智能 以及如何重塑这一过程
352	Because folks, and you know	因为人们,你知道
353	任何人都可以和Claude 双子座,ChatGBT合作
354	You don't have to come up with it.	你不必想出来。
355	You	你们
356	just have to monitor and steer it.	只需要监视和引导它
357	So say, here's how I would change this role to even potentially	这么说吧,我如何改变这个角色 甚至可能
358	put me out of a job.	让我失业了
359	Senior leaders would love that.	高级领导会喜欢的。
360	But here's the really holy grail.	但这是真正的圣洁
361	This is	这是
362	the kicker on all this.	所有这一切的踢球手。
363	This is the kicker.	这是踢球手。
364	Such a ChatGBT thing to say, my gosh, I take it back.	这么说吧 天哪 我收回来
365	But here's the really important thing.	但这是很重要的事情。
366	Say, and here's how the team can use this in a very	这么说吧 团队可以用这个
367	different way.	不同的方式。
368	Here's the exact workflow.	这是确切的工作流程。
369	Here's what I would change.	这就是我会改变的
370	Here's how I would think	我这样想
371	because we want to upskill a team.	因为我们想提高队伍的素质
372	You don't want to just hire somebody to come in and do AI	你不想雇人进来做人工智能
373	differently.	不一样
374	You want somebody to come in and change the way it's done around that person.	你希望有人进来 改变他身边的做法
375	That to me is the holy grail.	这对我来说是神圣的护身符
376	One thing before we keep going.	有一件事我们继续前进。
377	If you want to stay updated on	如果你想继续更新
378	all the things these founders say here, we take the use cases and prompts from every conversation	这些创始人在这里说的所有话, 我们从每个谈话中 收集使用的案例和提示
379	and put them into my newsletter called FutureProof.	把它们放进我的通讯里 叫做未来繁荣
380	And of course, we also put my own beautiful use	当然,我们也把自己的美丽用途
381	cases there.	这里有病例
382	For example, we'll put together the seven skills that came up again and again,	例如,我们会把七种技能 一次又一次地组合在一起,
383	the ones people will need in the next few years.	未来几年里人们需要的人
384	These are the skills that my team and I are also	这些是我的团队和我的技能
385	using daily.	每天使用。
386	Subscribe through the link in the description.	通过描述中的链接订阅.
387	You'll get that one and you can also	你会得到一个,你也可以
388	read our previous newsletters and see what you missed.	看看我们之前的通讯 看看你错过了什么
389	Everything in this video comes back to	这段录像里的所有内容都回到了
390	being visible somewhere and it works in both directions because the only reason you get to	在某处可见, 它在双向工作 因为你得到的唯一原因
391	hear any of this is that founders now show up on podcasts and on socials.	听说创始人现在出现在播客和社交节目上
392	Ten years ago, I had	十年前,我有过
393	a really hard time explaining what I was doing in Silicon Valley.	很难解释我在硅谷做什么
394	Today, founders come here and tell	今天,创始人来这里告诉
395	you exactly who they hire.	你正是他们雇的人
396	So if you're job hunting right now, leave a line about yourself	所以,如果你现在在打猎, 留下一条关于你自己的线
397	in the comments.	在评论中。
398	People really do read them.	人们真的读过
399	And I know that a lot of my guests read the comments	我知道很多客人都读了评论
400	after the podcast goes live.	在播客开始直播后
401	This is a moment in time where even though in some ways it's hard to	此时此刻,即使在某些方面很难
402	get a job, it's also a place, we're in a moment where it's actually still easy to differentiate	找份工作,那也是个地方,我们正处在一个 仍然很容易区分的时刻
403	yourself.	你自己来
404	Today, if I put on a job application that I have a web page, people are like, big deal.	今天,如果我把一个工作申请 我有一个网页, 人们喜欢,大问题。
405	But in 1996, if you said, I have a web page, people are like, ooh, let's hire this person.	但是在1996年,如果你说,我有一个网页, 人们喜欢,哦,让我们雇用这个人。
406	They know what's about to happen.	他们知道接下来会发生什么
407	Now you can say, I come with a hundred agents.	现在你可以说 我带了一百个探员来
408	I come with a	我带一个
409	hundred agents.	百名探员
410	Or why don't you interview my agents first?	或者你为什么不先采访我的探员?
411	Or do you have an agent that would	或者,你有一个代理人,
412	like to talk to mine?	喜欢跟我说话吗?
413	Or here's my portfolio of AI-generated art.	或者这是我的人工智能艺术组合
414	Or here are my workflows that I've	或者这是我的工作流程
415	automated.	自动。
416	Or here's a loom video I created of a day in my life where I have automated my life	或者这是一段我生命中 一天的隐形视频 我将我的生活自动化
417	with agents.	与探员。
418	If you know anyone like that, I would be interested in hiring them for Khan Academy	如果你认识这样的人,我愿意为可汗学院雇用他们
419	tomorrow.	明天见
420	But all in all, here's what surprised me once I put all of this together.	但总而言之,这让我惊讶的是 一旦我把这些都放在一起。
421	Not one of	没有
422	them told me that a resume was the thing that got somebody hired.	他们告诉我,一个履历 是使某人被雇用。
423	None of them pointed out a degree	他们都没指出学位
424	either, or at years of experience.	或者在多年的经验。
425	Every single person I asked described somebody whose work they	我所问的每个人 都描述了他们的工作
426	had already seen before the interview ever started.	在采访开始前就已经见过了
427	Which is why none of this can wait until	这就是为什么这一切不能等到
428	the week you start applying.	你开始申请的一周。
429	So here are five things, and you can begin all of them this month.	所以这里有五件事,你可以在这个月开始所有的事情。
430	First, take one process inside your job you already have and rebuild it with AI.	首先,在你的工作里 做一个过程 并重建它与AI。
431	Like,	喜欢,
432	properly, until it genuinely saves time.	适当,直到它真正节省时间。
433	That's your demo, and that's the single most useful thing	那是你的演示,这是最有用的
434	you can do right now.	你现在可以做。
435	Second, write about it publicly.	二,公开写作.
436	Like, come on, I've been telling everyone	像,来吧,我一直告诉大家
437	to start being active on socials many, many years ago.	开始活跃在社会 在许多,很多年前。
438	现在,与LinkedIn, 我认为尴尬
439	因为Instagram更像是风格 日常YouTube是长形的
440	Layton is where your professional content lives.	莱顿是你的职业生活
441	Because every single one of those people goes	因为那些人中的每一个都会去
442	looking for evidence of you before the interview, and your posts on Ets and LinkedIn are the ones	在采访之前要寻找你的证据 在Ets和LinkedIn上的文章
443	that keep working while you sleep.	在你睡觉的时候继续工作
444	Third, try to go one level deeper technically that your role	第三,从技术上讲,你的角色要更深一点
445	strictly requires.	严格要求。
446	The way Erin described it, just understanding how the tools actually work	艾琳描述的方式,只是理解工具的实际作用
447	Fourth, keep two or three real examples of experiments you run, including the ones that	第四,保留两三个真正的例子 你运行的实验,包括那些
448	failed, because people like Yamini, who runs HubSpot, are going to ask you exactly for that.	失败了,因为像Yamini这样的人, 谁经营HubSpot, 将要求你 准确的这一点。
449	And fifth, when you finally get into the room, don't spend any time defending your resume.	第五,当你终于进入房间, 不要花任何时间维护你的简历。
450	Spend it showing how you would rebuild a process.	花在展示你如何重建一个过程上。
451	Because the whole narrative with set companies now	因为现在所有关于公司的报道
452	is, let's make our company suitable for agents, let's make sure things that can be automated are	让我们的公司适合代理, 确保可以自动化的东西
453	so you have to be the one presenting this opportunity for them.	所以,你必须是一个 给他们带来这个机会。
454	I really hope this was	我真的希望这是
455	useful and I don't know if you're seeing this, but what I'm seeing from my perspective is that	有用,我不知道你是否看到这个, 但我从我的角度来看,
456	AI is creating more jobs, more new jobs, than it's taking away.	AI正在创造更多的工作, 更多的新的工作, 比它带走。
457	So it is a social elevator for a lot	所以,这是一个社交电梯 很多
458	of people who've been waiting for the next opportunity.	等待下个机会的人
459	And if you are the one who wants	如果你是那个想要
460	to jump on the social elevator, please subscribe to this channel because I'm sharing a lot of these	跳上社交电梯,请订阅这个频道 因为我分享了很多这些
461	conversations about getting hired and advancing your career or starting a business with AI.	关于被雇佣和推进你的事业或与AI创业的谈话.
462	Don't forget to subscribe and I'll see you soon.	别忘了订阅,我会很快见到你。
463	And by the way, leave a comment I'm going to read	顺便说一句,留下我将要读的评论
464	them to. Don't forget to subscribe and I'll see you soon. And by the way, leave a comment I'm going to read them to.	他们去。 别忘了订阅,我会很快见到你。 顺便说一句,留下一个评论 我要读到它们。

该视频共有字幕 464 条。解锁更多字幕为会员功能，请移动到 价格

P2 · 【求职策略】AI时代如何被顶级公司录用 · 7位高管亲述 p02 英文字幕 (P2)

【求职策略】AI时代如何被顶级公司录用 · 7位高管亲述 p02 英文字幕 (P2)

发布于 2026-09-16 · 时长 22:38

字幕摘录

时间	英文	中文
0:00	Breaking into the job market right now is harder than it has been in 37 years,	现在进入就业市场比37年来更困难
0:06	harder than during the Great Recession.	比大衰退时期还难
0:08	244 people apply to the average open role.	244人申请担任一般公开角色.
0:11	And a great resume isn't enough anymore because a machine reads it before a person does.	一个伟大的履历已经不够了 因为机器在一个人之前读它。
0:17	If it doesn't have the right keywords, nobody ever sees it.	如果它没有正确的关键词, 没有人看到它。
0:21	And if you load it up with keywords, it starts looking like AI wrote it	如果你装上关键词, 它开始看起来像AI写的
0:25	and half of hiring managers throw these out.	一半的员工都丢掉了
0:27	Some people tell you a degree still matters.	有些人告诉你学位还是很重要的
0:30	Others say it stopped mattering completely as long as you have three specific skills.	其他人说,只要你有三种特定的技能,它就完全不再重要了.
0:34	So what is actually going on?	到底发生了什么?

展开字幕全文（464 条）

序号	英文	中文
1	Breaking into the job market right now is harder than it has been in 37 years,	现在进入就业市场比37年来更困难
2	harder than during the Great Recession.	比大衰退时期还难
3	244 people apply to the average open role.	244人申请担任一般公开角色.
4	And a great resume isn't enough anymore because a machine reads it before a person does.	一个伟大的履历已经不够了 因为机器在一个人之前读它。
5	If it doesn't have the right keywords, nobody ever sees it.	如果它没有正确的关键词, 没有人看到它。
6	And if you load it up with keywords, it starts looking like AI wrote it	如果你装上关键词, 它开始看起来像AI写的
7	and half of hiring managers throw these out.	一半的员工都丢掉了
8	Some people tell you a degree still matters.	有些人告诉你学位还是很重要的
9	Others say it stopped mattering completely as long as you have three specific skills.	其他人说,只要你有三种特定的技能,它就完全不再重要了.
10	So what is actually going on?	到底发生了什么?
11	I asked people who run companies employing more than 30,000 people	我问谁经营公司 雇用超过三万人
12	and every one of them decides who gets in on a daily basis.	他们每个人都决定谁每天进来。
13	By the end of this video, you'll have a step-by-step plan for getting hired in 2026.	到了这段视频的结尾,你会有一个2026年被雇佣的逐步计划.
14	Skills they're hiring for, what to bring instead of a resume,	他们雇佣的技能, 带什么代替简历,
15	and the exact thing to say in the interview.	以及采访中要说的
16	As a bonus, you get numbers from inside LinkedIn on how fast your job is changing.	作为奖金,你从LinkedIn内部得到数字,显示你的工作变化有多快.
17	You send a resume and then you wait.	你寄简历然后等
18	Maybe something comes back three weeks later, usually nothing does,	也许三周后有什么事情发生 通常没什么
19	and you never actually find out what happened to it in between.	你却一直不知道这之间发生了什么
20	So I put that exact question to Sal Khan who runs Khan Academy and hires constantly.	所以我把确切的问题告诉了萨尔·可汗,他管理着可汗学院,并经常雇用他。
21	And he was honest with me about it.	他对我说实话
22	Imagine this, someone today graduates from Stanford,	想象一下,今天从斯坦福毕业的人
23	pick your major, good major, with a 3.9 GPA.	用3.9GPA来选你的主修
24	When I look at that resume, I say, okay, probably smart, got into Stanford, good GPA.	当我看那张简历时,我说,好吧,也许很聪明, 进了斯坦福大学,很棒的GPA。
25	I don't know if those skills they learned are going to be directly transferable,	我不知道他们学到的这些技能是否会被直接转让,
26	but there's probably someone I can work with.	但也许有个人我可以工作。
27	Leadership skills, I don't know, looking at their GPA.	我不知道 看看他们的GPA
28	Maybe, oh, yeah, okay, maybe they're the class vice president	也许,哦,是的,好吧, 也许他们是班副总裁
29	or if they were the co-captain of the lacrosse team.	或者如果他们是曲棍球队的队长
30	Okay, maybe they have leadership skills.	好吧,也许他们有领导技能。
31	I don't know, but that's only you're kind of reading-	我不知道,但这只是你 那种阅读 --
32	There's signals, not evaluation.	有信号,不是评估
33	And what I normally do now when I see a resume,	而现在我通常做的 当我看到简历,
34	even someone who's been working, no matter what they write,	即使有人一直在工作, 不管他们写什么,
35	我在找YouTube的视频
36	I look for some evidence of like, how do they communicate?	我寻找一些证据 喜欢, 他们如何沟通?
37	How do they, and then you try to do it in an interview,	他们怎么做,然后你试图在采访中做到这一点,
38	which is just, you only have a few hours to do it.	只是,你只有几个小时的时间去做
39	When we're hiring, my team is on your social media profiles the same afternoon.	当天下午 我的团队在你的社交媒体上
40	We're asking around for references and we always end up on LinkedIn	我们到处找推荐人 总是在LinkedIn上
41	because that's where the real picture is.	因为这就是真实的画面
42	所以我把问题交给了Ryan Roslansky 他经营了LinkedIn公司六年
43	and took it from 700 million members to 1.3 billion.	并把它从7亿会员 带到13亿会员。
44	What does LinkedIn's own data say about where careers are going?	LinkedIn自己的数据对职业走向有什么看法?
45	Since the beginning of LinkedIn, the feature that is requested most from members	自LinkedIn开始以来,要求成员最多的功能
46	is show me what a typical career path is supposed to look like.	给我看一个典型的职业道路是什么样子。
47	LinkedIn, 您拥有所有的数据 。
48	So if I want to become a CFO or a CEO or an accountant or whatever,	所以如果我想成为首席财务干事 首席执行官 会计之类的
49	what is the path that people take?	人们走的道路是什么?
50	And the reality is in the data, there is no such thing as a linear career path.	而现实存在于数据中,没有线性的职业道路.
51	Like it's all over the place.	如是一切众生.
52	So the more that people first and foremost recognize	所以人们越是认识到
53	that you have to take your career into your own hands,	让你的事业掌握在自己手中
54	there's no natural path that exists that you just get on,	没有什么自然的路径存在 你刚刚得到,
55	I think is really, really important.	我觉得这很重要
56	Right now, it's more important than ever though,	现在,这比以前更重要,
57	because skills are changing.	因为技能在改变
58	The types of skills that are necessary for a specific role on LinkedIn	在链接上发挥具体作用所需的技能类型 内
59	have changed north of 25% over the last couple of years alone.	仅仅在过去的几年里,就已经向北变化了25%。
60	We expect they'll change by 70% by 2030,	我们预计到2030年他们会改变70%
61	largely influenced by AI and new tools and new ways of doing these professions.	主要是受AI和新工具和新职业方式的影响。
62	So I often, when I talk to people about what they should do with their career,	所以我经常,当我和人们谈论 他们应该做什么 他们的职业,
63	it's less about where do you want to be in five years,	5年后你想去哪儿就少了点
64	and it's more about over the next few months,	接下来的几个月里
65	what new skills do you want to learn?	你想学什么新技能?
66	Because to your point, these roles are flattening,	因为在你看来,这些角色是扁平的,
67	general lists are more and more where people are going these days.	这些天人们去的地方越来越多
68	So we always thought that the extension of your LinkedIn profile	所以我们一直认为你的LinkedIn简介的扩展
69	isn't just where you went to school, where you've worked,	不只是你上学的地方,你工作过的地方,
70	what skills you have, but the ability to demonstrate the actual knowledge	你拥有什么技能,但 展示实际知识的能力
71	that you have in your head by posting on LinkedIn.	在 LinkedIn 上贴出您脑中的信息 。
72	Being findable and being chosen are two completely different things.	可以找到和被选中是两个完全不同的东西。
73	And the gap between them is exactly where people get stuck for months	而他们之间的鸿沟 正是人们被困住了几个月的地方
74	without ever understanding why.	永远不明白为什么
75	Because what employers are scanning for isn't sitting on your profile at all.	因为雇主正在扫描的东西 根本不在你的档案里
76	I heard a version of it from everybody I spoke to,	我听到每个我说话的人的版本
77	but Yamini Rangan is the one who laid the whole thing out in a single answer.	但Yamini Rangan是把整个事情 放在一个答案。
78	She runs HubSpot, a publicly traded company,	她经营一家公开交易的公司HubSpot
79	thousands of employees, and she names three specific things	成千上万的员工, 她命名三个具体的事情
80	she hires for in 2026 in the era of AI.	她雇佣2026年的AI时代。
81	The way I would frame it, we are looking for explorers.	ит代刚
82	And I'll tell you what that means.	我会告诉你这意味着什么
83	I think there's a fundamental shift that's happening with AI	我觉得AI有根本的转变
84	where not everybody knows exactly how to go from point A to point B.	在那里,并不是每个人都知道如何从A点到B点。
85	If you knew exactly, and think about them as map readers,	如果你确切地知道, 并思考他们作为地图阅读器,
86	you know exactly what point A is, point B is.	你知道A是什么,B点是什么。
87	You read the map because someone has figured out the path	你读地图是因为有人找到了路
88	and you follow the directions and you get there.	顺着方向走,然后到那里
89	That is what we were doing because you had playbooks that worked	这就是我们在做什么 因为你有游戏本 工作
90	and you were really clear about following the playbook.	你很清楚要遵守剧本
91	Today with AI, there is no map.	今天,AI没有地图。
92	So you have to get comfortable with being an explorer.	所以,你必须适应 作为一个探险家。
93	And there are a few skill sets that are important.	还有几套重要的技能
94	The first one is that you have to have almost a scientist mindset.	第一个是,你必须有一种几乎是科学家的心态。
95	And I look for people who are comfortable experimenting	我寻找那些舒服的实验者
96	and having a hypothesis, proving if the hypothesis is right or wrong	并有一个假设,证明该假设是否正确
97	versus saying there is a set path, right?	而不是说有一条固定的道路,对不对?
98	Like experimentation, moving quickly, having a hypothesis,	就像实验,快速移动,有一个假设,
99	and proving whether you're right or wrong.	证明你是对是错
100	That is like skill number one.	这就像第一技能。
101	And I look for examples of when they have done it	我找一些例子来说明他们什么时候这样做了
102	or how they have comfort around it.	或他们是如何享受的。
103	That's like number one thing that I look for.	这就像我寻找的头一件事。
104	The second is just this passion and curiosity to go deep in the work.	第二,就是这种深入工作的热情和好奇心。
105	What is happening is that in order for AI to be effective,	发生的事情是,为了使AI有效,
106	you got to be close to the ground.	你必须接近地面。
107	You have to know what parts of the workflow are broken,	你必须知道 工作流程的哪些部分被打破,
108	what parts of the workflow can actually get value from AI.	哪些部分的工作流程可以真正从AI获得价值.
109	And you got to get like really close to the ground in it.	你必须像 真正接近地面。
110	And I talk to customers, but we also do a Gemba walks.	我和顾客交谈,但我们 也做一个Gemba散步。
111	We look at like how people are using different technology.	我们看着人们如何使用不同的技术。
112	I'm looking for people like that who are very close to the ground,	我在找那种离地面很近的人
113	close to the process, who can actually make changes.	接近过程,谁能真正做出改变.
114	That's the second one.	这是第二个。
115	And then the third is really what I would say	然后第三个才是我要说的
116	as just curiosity and customer orientation.	只是好奇心和客户导向
117	Again, my focus has been don't forget about AI.	再说一遍,我的重心是不要忘记AI
118	Use it to solve something for your customers.	用它来解决你的客户。
119	So can you be super curious and ask the right questions	所以,你可以 超级好奇,问正确的问题
120	of your customers to get the right thing?	让你的客户得到正确的东西?
121	And if you have the ability to experiment,	如果你有能力做实验
122	the ability to stay close to work, the ability to stay curious,	保持工作接近的能力 保持好奇的能力
123	then you're actually going to thrive in the world of AI.	那样你就会在AI的世界中蓬勃发展
124	If you are stuck with your playbook,	如果你坚持你的游戏本,
125	if you are very comfortable with going from point A to point B	如果你对从A点到B点很满意
126	in a path that someone else has prescribed,	在别人规定的道路中,
127	then you're just not going to be successful in the world of AI.	那你不会在AI世界中成功
128	That's what I'm looking for.	即是所寻.
129	Here is how I test for that when I'm the one hiring.	我雇人的时候 就是这样测试的
130	You don't have to write code.	你不必写代码
131	You just have to know which tool does the thing.	你只需要知道哪个工具能做这个
132	It's on the list for every single role we hire for,	上面有我们雇的每个角色
133	either the skill itself or a real appetite to go and learn it.	要么是技术本身 要么是真正想要去学习它。
134	For example, my YouTube producer built something this year	例如,我的YouTube制作人今年造了
135	that a few years ago would have taken an actual engineer.	几年前 就会有真正的工程师
136	And we keep building stuff like that because when I was hiring them,	我们不断制造这样的东西 因为当我雇用他们时
137	I was looking for this itch to build something, to automate something.	我在找这个痒痒的东西来制造, 自动化的东西。
138	And they absolutely love that because that gives them more time	他们绝对喜欢,因为这给他们更多的时间
139	to actually think strategically and do more fun stuff.	真正思考策略 做更多有趣的事情。
140	Another guest that I wanted to highlight in this video is Graham Lee.	我想在这段视频中强调的另一个客人是Graham Lee.
141	He co-founded Gamma that we use all the time.	他共同创立了伽玛 我们一直使用。
142	And I asked him, do you have anyone on this team who does this best?	我问他,你有没有人在这个团队 谁做的最好?
143	And by that, I mean automating different processes.	由此,我的意思是自动化不同的过程。
144	And he didn't name an engineer at all.	他完全没有给工程师起名
145	I feel like nearly all employees are what I would still define as generalists today,	我觉得几乎所有的员工都是我今天仍会定义为通才的,
146	even though they spike in different areas.	即使它们在不同的地方猛增。
147	So, for instance, our head of design, exceptionally talented designer,	所以,比如说,我们的设计主管, 非常有才华的设计师,
148	very visual, but he also knows how to code.	非常直观 但他也懂得如何编码
149	And he was coding even before Vibe coding was more accessible to most designers.	甚至在Vibe编码被大多数设计者更方便使用之前,他就在编码.
150	But the fact that he can now ship something end-to-end, test it,	但是他现在可以把东西运去 测试一下
151	get early versions into the hands of users, that's a superpower.	把早期版本交给用户,这是超能力.
152	And so he can cross domains where traditionally it'd be a designer or a UX researcher	这样他就能跨越传统上是设计师或UX研究员的领域
153	that does a little bit of some of this early investigation or early research.	早期调查或早期研究也有所作为
154	He can do that himself, develop the early prototype, ship the early prototype,	他可以自己做,开发早期的原型,运送早期的原型,
155	get something into the hands of users to actually give feedback on,	得到一些东西在用户手中 真正提供反馈,
156	and oftentimes then ship something into production, almost completely end-to-end.	并且经常将一些东西运入生产, 几乎完全端到端。
157	That just wasn't really possible before.	这之前真的不可能
158	But for us, we try to look for the spirit of a generalist across every function,	但对我们来说,我们试图寻找一个通俗主义者的精神 跨越每一个功能,
159	whether it's sales, marketing, engineering, product design.	无论是销售,营销,工程,产品设计。
160	And I think that allows you to have a relatively lean team	我认为这样你就可以拥有一个相对精干的团队了
161	that can, again, play across multiple domains at any given point in time.	可以在任何特定时间点上跨越多个域。
162	And I think in general, that just means a team that can be pretty collaborative too,	一般来说,那只是意味着一个团队 可以相当合作,
163	because you have deeper empathy for what each function can bring to the table.	因为你对每个功能能带来什么有更深的同情心。
164	And when you're bringing something to an engineer, for instance,	举例来说 当你给工程师带东西的时候
165	you've already done so much work to think through, like,	你已经做了这么多的工作 思考,喜欢,
166	okay, how do I make this right so the handoff is as seamless as possible?	好吧,我如何做这个正确 所以交割尽可能无缝?
167	These things, I think, are hard to quantify.	我认为,这些事情很难量化。
168	But when you have a team of generalists, there is some magic in working together.	但是,当你们有一支通论者队伍的时候,合作是有一些魔法的.
169	AI changed a lot about how hiring works on both sides of the table.	AI在两边的招工方式上变化很大.
170	People who are job-hunting right now, tell me this interesting story	现在在找工作的人,告诉我这个有趣的故事
171	where they record every conversation, then run it through an LLM,	他们记录每一次谈话 然后通过LLM
172	and ask where they were vague and how they could have answered stronger.	问他们在哪里模糊,他们怎么回答得更有力。
173	I really like that approach because I do that myself.	我很喜欢那种方法,因为我自己这样做。
174	I analyze every single podcast script and see how I did versus what can I do better.	我分析了每一个播客的剧本, 看看我怎么做到的,
175	And we also do the same thing with our business calls,	我们也做同样的事情 我们的业务电话,
176	because when a call is not recorded, a lot of context just disappears.	因为当一个电话没有录音的时候,很多上下文就消失了.
177	And that context is what the next decision depends on.	下个决定取决于这个背景。
178	The tool I want to tell you about is built exactly for this.	我想告诉你的工具 正是为此而建的。
179	And it is called Transcripter.	并称为译者.
180	It joins your call as a bot, records transcripts, and when the call ends,	它与你的电话作为一个机器人, 记录誊本, 当呼叫结束,
181	you have a structured summary with the action items pulled out,	你有一个结构化的总结 与动作项目拉出,
182	ready to share with your team.	准备与你的团队分享。
183	Another useful part is the search across transcripts of all your past calls.	另一个有用的部分是搜索你过去所有通话的记录
184	Before a call, you look up what was promised to you and what you promised,	在你接到电话之前,你应当期待你所应许你的和应许的,
185	and it pulls the exact line out of a conversation nobody remembers	它从一个没有人记得的对话中 抽出准确的台词
186	till you start from where you actually left off.	直到你从你真正离开的地方开始
187	And all of it sits behind enterprise-grade security,	并且它都坐落在企业级的安全,
188	so it works whether you're a five-person startup or a larger org.	所以不管你是五人组还是大个组都行
189	Try Transcripter with the link in the description,	尝试在描述中的链接的转写器,
190	and if you sign up with your work email, you get 300 free minutes.	如果你用工作邮件报名, 就可以有300分钟的免费时间。
191	And you're probably thinking, so I keep doing my current job perfectly.	你也许在想 所以我继续做我现在的工作
192	And at the same time, I teach myself technical skill for a job I don't even have yet.	同时,我教自己 技术技能的工作,我还没有。
193	That's two jobs, and almost nobody has room for two jobs.	这两份工作,几乎没人有两份工作的余地。
194	So ask Aaron Levy how technical you actually have to be.	问亚伦·李维你到底有多技术
195	He's been running Box, again, a publicly traded company, for 20 years,	他又经营Box公司20年了
196	and he hires across marketing, sales, finance, engineering, all of it.	他雇佣了整个市场营销 销售 金融 工程
197	He drew a very specific line, and then he told me exactly which tools to open first.	他画了一条非常具体的台词,然后他告诉我哪些工具可以先打开.
198	When you're hiring now, how is it different from hiring five years ago?	当你现在雇用, 这与五年前的雇用有什么不同?
199	What are you looking for in a candidate?	你在找什么候选人?
200	So I think right now is a great time to be going deeper, technically.	所以,我认为,从技术上讲,现在是一个更深入的好时机。
201	It doesn't mean you have to be vibe coding all the time and building entire products,	这并不意味着你必须 气温编码所有的时间 和建造整个产品,
202	but you should try and really understand what is the agent doing?	但你应该试着真正了解 特工在做什么?
203	How does it work?	怎么会这样?
204	How does MCP work?	MCP如何运作?
205	How do CLIs work?	国家领导才能如何运作?
206	How do skills work?	技能如何运作?
207	And getting really well versed in that.	而且非常精通于这个
208	The people that are doing that	这样做的人
209	will have a huge leg up in the next three to five years,	在接下来的三到五年里,会有一个巨大的腿,
210	because all of these companies will be hiring for people that can do that within their workflows.	因为所有这些公司都会雇用 能在工作流程中做到这一点的人。
211	So we're definitely looking for people whose technical acumen is growing,	所以,我们肯定 寻找的人的技术敏锐正在增长,
212	whose AI savviness and fluency is growing.	他们的人工智能越来越温柔和流利
213	You want to be using these tools in your free time as much as possible,	你想在你的空闲时间尽可能使用这些工具,
214	so you again understand how they're working and what's going on.	所以,你再次明白 他们是如何工作的 和发生了什么事。
215	At the same time, I don't think a lot of the...	同时,我不怎么认为...
216	I think it actually still matters that you have	我认为这实际上仍然很重要 你有
217	some degree of domain expertise.	某种程度的领域专长。
218	You're really good at marketing.	你真的很擅长营销
219	You understand what customers want.	你知道顾客想要什么
220	You're really good at selling.	你真的很会卖东西
221	You're good at product management and interviewing customers and assessing markets.	擅长产品管理,采访客户,评估市场.
222	Those are these timeless skills that transcend any kind of technology revolution.	这些是超越任何技术革命的永恒技能。
223	AI is just a way of augmenting those domain skills.	人工智能只是增强这些领域技能的一种方式。
224	In some respects, any role that we're hiring for, marketing, sales, finance, engineering,	在某些方面,任何我们雇用的角色, 营销,销售,金融,工程,
225	et cetera, we need all of those domain skills, but also we need you to now be	等,我们需要所有这些领域技能, 但我们也需要你现在
226	increasingly AI-fluent or a little bit more technical.	人工智能流畅度越来越高 技术水平也越来越高
227	Can you recommend top three apps that people should be using?	你能推荐前三名的应用程序吗?
228	Probably won't be much of a surprise.	可能不会是什么惊喜
229	I would download Codex.	我会下载代码
230	I would download Cloud.	我会下载云。
231	Even for non-technical people, Codex?	即使对非技术人员来说, Codex?
232	100%.	百分百的 百分百的 百分百的
233	Partly is because Codex is becoming more inclined toward knowledge work use cases.	部分原因是Codex越来越倾向于知识工作使用案例。
234	What should they be doing with it?	他们拿它做什么?
235	Automate a process within their...	在他们的...
236	Automate a process.	自动进程 。
237	Give it just a crazy problems and see what happens.	给它一个疯狂的问题 看看会发生什么。
238	Go do this research in this market.	在市场上做这个研究
239	Wire up multiple MCP servers to data sources you have,	把多个MCP服务器连接到您拥有的数据源,
240	so you understand how does it work?	所以你明白它是如何工作的吗?
241	How is it querying that other system?	它是如何查询 其他系统?
242	How is it accessing my email?	它怎么访问我的电子邮件?
243	Like, oh, scary.	像,哦,吓人。
244	Oh, no, actually, I understand it now.	哦,不,实际上,我现在明白了。
245	Get a sense of how that all kind of is working together.	体会一下这些东西是如何合作的
246	I think just any one of the top AI tools for productivity, maybe for coding,	我认为只是任何最高级的AI工具 生产率,也许用于编码,
247	is a good way to get started and it'll already get you like 90% of the way there.	这是开始的好方法 它已经让你喜欢90%的路。
248	所以说Codex?
249	Probably Cloud Cowork, Perplexity.	可能是云合作,很复杂
250	These are just easy ones to just get started with,	这些只是容易开始的
251	and you'll have a good sense of kind of what the market looks like.	你会对市场有什么感觉
252	There is one more side of this market I want to talk about, and that's junior roles.	这个市场还有一面我想谈 那就是初级角色
253	Job openings in the US fell to $6.5 million at the end of last year, the lowest level since 2020,	去年年底,美国的就业机会降至650万美元,是自2020年以来的最低水平,
254	and 43% of recent graduates are now working in jobs they don't require the degree they paid for.	43%的新毕业生现在从事的工作 不需要他们支付学位。
255	So the bottom rung has genuinely got harder to reach.	因此,下层的急转直下 更难到达。
256	But the more of those conversations I had, the more it looked like what's actually shrinking is	但我的谈话越多, 越看似真正缩小的是
257	junior role as we used to define it.	我们用来定义它的初级角色
258	The version that was basically a list of tasks	基本上是一个任务列表的版本
259	somebody handed to you.	有人交给你了。
260	Luana Lopez Lara co-founded Caoshi,	卢安娜·洛佩兹·拉拉共同创立了考希,
261	a prediction market whose entire business is running the world on the numbers and	一个预测市场 其整个业务 管理世界的数字和
262	pricing what happens next.	定价接下来会发生什么。
263	So basically they're predicting all types of things.	所以基本上他们预测了所有类型的事情。
264	And nobody has better tools for seeing where all of this is going.	没有人有更好的工具来观察这一切的走向。
265	How are you hiring these days?	这些天你怎么样?
266	How has it changed from the last year?	与上年有何变化?
267	We like being very lean.	我们喜欢很瘦
268	So we were 170 people at the moment and people that work very well	所以,我们是170人 现在,和工作很好的人
269	are very low ego and willing to learn a lot.	非常低的自负 愿意学习很多。
270	I mean, we're very direct culture.	我的意思是,我们是非常直接的文化。
271	We really like being efficient with time.	我们真的喜欢高效的时间。
272	So that means like feedback is like,	所以,这意味着像反馈是,
273	I don't like something that I'll tell you right now and I'll be honest about it and you have to be	我不喜欢我现在会告诉你的事 我会诚实的,你必须
274	in that kind of like cultural side is very important for us.	在那种文化方面,对我们非常重要。
275	But realistically, the two things that matter the most is just working really hard and having	但实际上,最重要的两件事 就是努力工作,并拥有
276	like a commitment to work above everything else.	就像承诺要超越一切
277	When I say commitment to work, it's more about	当我说承诺工作,它更多的是
278	when we ask you to do something and we trust you with something,	当我们要求你做一些事情 我们信任你的东西,
279	we can trust that it's going to be done great.	我们可以相信它会做得很好。
280	It's not about number of hours.	与时数无关.
281	It's not about these things.	这不是关于这些事情。
282	Is it about AI as well?	是关于AI的吗?
283	It is, but so in the engineering side, in the engineering interview, we put a lot of time into	是的,但是在工程方面, 在工程面试中, 我们投入了很多时间
284	and kind of like, now you can use AI in the interviews and it's completely fine.	有点像,现在你可以使用AI 在采访,它完全罚款。
285	And all of that, and actually in a lot of the systems review that we do interviews on	所有这一切,实际上 在很多系统审查 我们做访谈
286	systems review or like previous project review is kind of a big component of that.	系统审查或像以前的项目审查是其中的一大部分。
287	Now a lot of the things that we used to look at like two years before of like,	现在很多东西,我们过去看 像两年前,
288	oh, can someone actually do this or do that?	哦,能有人真的这样做还是这样做?
289	But now like, whatever, like that's just not relevant.	但是现在,像,不管, 像,只是无关紧要。
290	We are actually talking about in design now, I told you that we're trying to get more and more	我们实际上在谈论 设计,现在,我告诉你, 我们试图得到越来越多的
291	on the figure out how to use AI in a better way in design.	在设计上如何更好地使用AI。
292	In our design interviews,	在我们的设计访谈中,
293	we're starting to be like, has this person used a lot of AI?	我们开始喜欢, 这个人使用了很多AI?
294	So it's spreading to design.	所以它传播到设计。
295	What about knowledge work?	知识工作呢?
296	Less so.	少顷.
297	We need to do one thing actually, funnily enough, in the legal team,	我们需要做一件事 实际上,有趣的是, 在法律团队,
298	we're starting to do that a lot too.	我们开始做很多。
299	To be like, because we have so many cases and litigation,	因为我们有很多案子和诉讼
300	we're trying, we're starting to be a lot more like, how have you used AI for this?	我们正在努力,我们开始 更多喜欢, 你怎么用AI做这个?
301	How would	怎么会
302	you use AI for that?	你用AI做这个?
303	It's less about, and it kind of adds, goes back to the willingness to learn.	少了一点,也有点补充,回到了学习的意愿.
304	I think it's less about them having the answers or having used it to do something amazing before,	我觉得他们有答案或用它做一些前所未有的事
305	but more like, are they willing to do it?	他们愿意这么做吗?
306	Because we have, again, like our engineering team,	因为我们再次, 像我们的工程团队,
307	what we're doing is that we're kind of putting them, the AI group in like design, and then they're	我们正在做的是,我们种 把它们,AI组 像设计,然后他们
308	going to go into legal and try to kind of like, how do we help them to do it?	打算进入法律界 尝试种喜欢, 我们如何帮助他们做到这一点?
309	And we just want	我们只想
310	people to be open-minded.	人们要开明。
311	And the answer is like, how they used to work is not the way that we're	答案是 他们以前的工作方式不是我们
312	going to work at Cauchy and the world's going to do.	要去考奇工作 全世界都会这么做
313	And we just need them to be open-minded	我们只需要他们开明
314	and have like low ego to figure out like, oh, this thing that I thought I was very good at is	并且有像低自负 找出喜欢,哦, 这个东西,我觉得我很擅长
315	actually, I don't need to do anymore.	其实,我不需要再这样做了。
316	When we were hiring a social media manager this year,	今年我们聘请社交媒体经理时
317	every single question asked was some version of the same thing.	每一个问题都是一样的
318	How would you automate this?	如何实现自动化?
319	Where does AI go into this process?	大赦国际将如何参与这一进程?
320	And honestly, I don't need anyone to have the right answer.	老实说 我不需要任何人有正确的答案
321	If somebody says, I'm not sure, but here is how I test it.	如果有人说,我不确定,但是我是这样测试的。
322	Here are the two things I try first.	这是我先试的两件事
323	That's exactly what I want to hear.	这正是我想听到的。
324	Because in the 10 seconds it takes them to say it,	因为在10秒内 他们需要说出来,
325	I can see the entire shape of how they think.	我可以看到他们的想法
326	Connor Grannon告诉我一些非常接近的东西
327	Doesn't that just break your heart when people are struggling to find work, right?	当人们为找到工作而挣扎的时候,你是不是心碎了?
328	And with AI,	和人工智能,
329	I think that we're in a zone right now where the opportunity is absolutely colossal for this reason.	我认为我们现在处在一个区 机会是绝对巨大的 原因。
330	It requires understanding AI and really using AI well is an incredible tool because you don't	它需要理解AI,真正使用AI 是一个不可思议的工具 因为你没有
331	have to learn anything.	什么都得学
332	You don't need to be a coder.	你不需要做一个编码员。
333	You don't need to be anything.	你不需要做任何事情。
334	Literally,	从字面上来说,
335	all you need to be able to do is talk like a human and everybody can do that.	你只需要像人一样说话 每个人都可以做到
336	That's number one.	即第一义.
337	But number two, and this is the really important thing, it's not enough to just go into a job	但第二,这是真正重要的是, 仅仅去工作是不够的
338	interview and say, I know how to use AI.	面试并说, 我知道如何使用AI。
339	Because everybody can say that.	因为每个人都可以这么说
340	And it's sort of like	这有点像
341	Excel的东西。
342	Everybody uses it, but people are using it to make a grocery list or something	每个人都用它,但人们用它 做杂货单什么的
343	like that, not to transform how a hedge fund operates.	这样,不是要改变对冲基金的运作方式。
344	The holy grails, can you invent the	圣杯,你可以发明
345	work of everybody around you?	你周围所有人的工作?
346	So if you go into a job interview, and this is what I tell everybody	所以如果你去面试, 这就是我告诉大家的
347	to do, go into a job interview prepared with what they do.	参加他们准备的面试
348	They'll have given you a sense	他们会给你一种感觉
349	of what you should do.	你该做什么?
350	So go in there and say, hey, here's my domain expertise, but let me just	所以,去那里说,嘿,这是我的专长, 但让我只是
351	show you what I would do with AI and how I would reinvent this process.	告诉你我会怎么处理人工智能 以及如何重塑这一过程
352	Because folks, and you know	因为人们,你知道
353	任何人都可以和Claude 双子座,ChatGBT合作
354	You don't have to come up with it.	你不必想出来。
355	You	你们
356	just have to monitor and steer it.	只需要监视和引导它
357	So say, here's how I would change this role to even potentially	这么说吧,我如何改变这个角色 甚至可能
358	put me out of a job.	让我失业了
359	Senior leaders would love that.	高级领导会喜欢的。
360	But here's the really holy grail.	但这是真正的圣洁
361	This is	这是
362	the kicker on all this.	所有这一切的踢球手。
363	This is the kicker.	这是踢球手。
364	Such a ChatGBT thing to say, my gosh, I take it back.	这么说吧 天哪 我收回来
365	But here's the really important thing.	但这是很重要的事情。
366	Say, and here's how the team can use this in a very	这么说吧 团队可以用这个
367	different way.	不同的方式。
368	Here's the exact workflow.	这是确切的工作流程。
369	Here's what I would change.	这就是我会改变的
370	Here's how I would think	我这样想
371	because we want to upskill a team.	因为我们想提高队伍的素质
372	You don't want to just hire somebody to come in and do AI	你不想雇人进来做人工智能
373	differently.	不一样
374	You want somebody to come in and change the way it's done around that person.	你希望有人进来 改变他身边的做法
375	That to me is the holy grail.	这对我来说是神圣的护身符
376	One thing before we keep going.	有一件事我们继续前进。
377	If you want to stay updated on	如果你想继续更新
378	all the things these founders say here, we take the use cases and prompts from every conversation	这些创始人在这里说的所有话, 我们从每个谈话中 收集使用的案例和提示
379	and put them into my newsletter called FutureProof.	把它们放进我的通讯里 叫做未来繁荣
380	And of course, we also put my own beautiful use	当然,我们也把自己的美丽用途
381	cases there.	这里有病例
382	For example, we'll put together the seven skills that came up again and again,	例如,我们会把七种技能 一次又一次地组合在一起,
383	the ones people will need in the next few years.	未来几年里人们需要的人
384	These are the skills that my team and I are also	这些是我的团队和我的技能
385	using daily.	每天使用。
386	Subscribe through the link in the description.	通过描述中的链接订阅.
387	You'll get that one and you can also	你会得到一个,你也可以
388	read our previous newsletters and see what you missed.	看看我们之前的通讯 看看你错过了什么
389	Everything in this video comes back to	这段录像里的所有内容都回到了
390	being visible somewhere and it works in both directions because the only reason you get to	在某处可见, 它在双向工作 因为你得到的唯一原因
391	hear any of this is that founders now show up on podcasts and on socials.	听说创始人现在出现在播客和社交节目上
392	Ten years ago, I had	十年前,我有过
393	a really hard time explaining what I was doing in Silicon Valley.	很难解释我在硅谷做什么
394	Today, founders come here and tell	今天,创始人来这里告诉
395	you exactly who they hire.	你正是他们雇的人
396	So if you're job hunting right now, leave a line about yourself	所以,如果你现在在打猎, 留下一条关于你自己的线
397	in the comments.	在评论中。
398	People really do read them.	人们真的读过
399	And I know that a lot of my guests read the comments	我知道很多客人都读了评论
400	after the podcast goes live.	在播客开始直播后
401	This is a moment in time where even though in some ways it's hard to	此时此刻,即使在某些方面很难
402	get a job, it's also a place, we're in a moment where it's actually still easy to differentiate	找份工作,那也是个地方,我们正处在一个 仍然很容易区分的时刻
403	yourself.	你自己来
404	Today, if I put on a job application that I have a web page, people are like, big deal.	今天,如果我把一个工作申请 我有一个网页, 人们喜欢,大问题。
405	But in 1996, if you said, I have a web page, people are like, ooh, let's hire this person.	但是在1996年,如果你说,我有一个网页, 人们喜欢,哦,让我们雇用这个人。
406	They know what's about to happen.	他们知道接下来会发生什么
407	Now you can say, I come with a hundred agents.	现在你可以说 我带了一百个探员来
408	I come with a	我带一个
409	hundred agents.	百名探员
410	Or why don't you interview my agents first?	或者你为什么不先采访我的探员?
411	Or do you have an agent that would	或者,你有一个代理人,
412	like to talk to mine?	喜欢跟我说话吗?
413	Or here's my portfolio of AI-generated art.	或者这是我的人工智能艺术组合
414	Or here are my workflows that I've	或者这是我的工作流程
415	automated.	自动。
416	Or here's a loom video I created of a day in my life where I have automated my life	或者这是一段我生命中 一天的隐形视频 我将我的生活自动化
417	with agents.	与探员。
418	If you know anyone like that, I would be interested in hiring them for Khan Academy	如果你认识这样的人,我愿意为可汗学院雇用他们
419	tomorrow.	明天见
420	But all in all, here's what surprised me once I put all of this together.	但总而言之,这让我惊讶的是 一旦我把这些都放在一起。
421	Not one of	没有
422	them told me that a resume was the thing that got somebody hired.	他们告诉我,一个履历 是使某人被雇用。
423	None of them pointed out a degree	他们都没指出学位
424	either, or at years of experience.	或者在多年的经验。
425	Every single person I asked described somebody whose work they	我所问的每个人 都描述了他们的工作
426	had already seen before the interview ever started.	在采访开始前就已经见过了
427	Which is why none of this can wait until	这就是为什么这一切不能等到
428	the week you start applying.	你开始申请的一周。
429	So here are five things, and you can begin all of them this month.	所以这里有五件事,你可以在这个月开始所有的事情。
430	First, take one process inside your job you already have and rebuild it with AI.	首先,在你的工作里 做一个过程 并重建它与AI。
431	Like,	喜欢,
432	properly, until it genuinely saves time.	适当,直到它真正节省时间。
433	That's your demo, and that's the single most useful thing	那是你的演示,这是最有用的
434	you can do right now.	你现在可以做。
435	Second, write about it publicly.	二,公开写作.
436	Like, come on, I've been telling everyone	像,来吧,我一直告诉大家
437	to start being active on socials many, many years ago.	开始活跃在社会 在许多,很多年前。
438	现在,与LinkedIn, 我认为尴尬
439	因为Instagram更像是风格 日常YouTube是长形的
440	Layton is where your professional content lives.	莱顿是你的职业生活
441	Because every single one of those people goes	因为那些人中的每一个都会去
442	looking for evidence of you before the interview, and your posts on Ets and LinkedIn are the ones	在采访之前要寻找你的证据 在Ets和LinkedIn上的文章
443	that keep working while you sleep.	在你睡觉的时候继续工作
444	Third, try to go one level deeper technically that your role	第三,从技术上讲,你的角色要更深一点
445	strictly requires.	严格要求。
446	The way Erin described it, just understanding how the tools actually work	艾琳描述的方式,只是理解工具的实际作用
447	Fourth, keep two or three real examples of experiments you run, including the ones that	第四,保留两三个真正的例子 你运行的实验,包括那些
448	failed, because people like Yamini, who runs HubSpot, are going to ask you exactly for that.	失败了,因为像Yamini这样的人, 谁经营HubSpot, 将要求你 准确的这一点。
449	And fifth, when you finally get into the room, don't spend any time defending your resume.	第五,当你终于进入房间, 不要花任何时间维护你的简历。
450	Spend it showing how you would rebuild a process.	花在展示你如何重建一个过程上。
451	Because the whole narrative with set companies now	因为现在所有关于公司的报道
452	is, let's make our company suitable for agents, let's make sure things that can be automated are	让我们的公司适合代理, 确保可以自动化的东西
453	so you have to be the one presenting this opportunity for them.	所以,你必须是一个 给他们带来这个机会。
454	I really hope this was	我真的希望这是
455	useful and I don't know if you're seeing this, but what I'm seeing from my perspective is that	有用,我不知道你是否看到这个, 但我从我的角度来看,
456	AI is creating more jobs, more new jobs, than it's taking away.	AI正在创造更多的工作, 更多的新的工作, 比它带走。
457	So it is a social elevator for a lot	所以,这是一个社交电梯 很多
458	of people who've been waiting for the next opportunity.	等待下个机会的人
459	And if you are the one who wants	如果你是那个想要
460	to jump on the social elevator, please subscribe to this channel because I'm sharing a lot of these	跳上社交电梯,请订阅这个频道 因为我分享了很多这些
461	conversations about getting hired and advancing your career or starting a business with AI.	关于被雇佣和推进你的事业或与AI创业的谈话.
462	Don't forget to subscribe and I'll see you soon.	别忘了订阅,我会很快见到你。
463	And by the way, leave a comment I'm going to read	顺便说一句,留下我将要读的评论
464	them to. Don't forget to subscribe and I'll see you soon. And by the way, leave a comment I'm going to read them to.	他们去。 别忘了订阅,我会很快见到你。 顺便说一句,留下一个评论 我要读到它们。

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