6 High Income Skills That AI Won’t Replace in 2026 — Transcript

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1. 0:00If you're scared that you might be on
2. 0:01the wrong career path, you should be.
3. 0:03Whether you're switching careers or just
4. 0:05starting, many people are about to waste
5. 0:07years building skills for jobs that will
6. 0:09disappear. But I'm going to save you
7. 0:10from that mistake. I've been analyzing
8. 0:12thousands of cuttingedge AI companies
9. 0:14and market trends, and I've outlined six
10. 0:17highest paying jobs that will survive
11. 0:19the next decade. These aren't just
12. 0:20trendy jobs everyone's chasing. They're
13. 0:22the ones that will still pay six figures
14. 0:25without having to go to med school or
15. 0:26learning rocket science. So now if
16. 0:28you're done settling for mediocre pay,
17. 0:30these are the jobs that will make you
18. 0:32realing money. Starting from the bottom,
19. 0:35creative directors. The whole philosophy
20. 0:38is being a director over a doer. In the
21. 0:41artistic world of AI, understanding the
22. 0:44taste, the vision, what are we trying to
23. 0:46create here? And getting people to move
24. 0:49in a certain direction. That's valuable.
25. 0:51When I think of like the three areas of
26. 0:53intelligence, you've got like analytical
27. 0:55intelligence, you have creative
28. 0:57intelligence, and you have emotional
29. 0:58intelligence. The director level is one
30. 1:00of the most valuable because it
31. 1:02challenges people to have a vision for
32. 1:04the future that doesn't exist yet that
33. 1:06should. And when you can take taste and
34. 1:09caring about people, the emotional side,
35. 1:11that's how you become valuable in this
36. 1:13world. I mean, the truth is there's
37. 1:14already single person marketing teams
38. 1:17taking over complete agencies. And the
39. 1:19cool part is the salary for those kind
40. 1:21of roles are between 100k to 130k per
41. 1:25year. Six figures you can learn this.
42. 1:28The learning curve is medium. It's not
43. 1:31that complicated if you work on you. And
44. 1:33the competition is also medium because
45. 1:35not a lot of people are watching this
46. 1:37video. They don't understand what's
47. 1:39available to them. So they're stuck in
48. 1:40the past doing the same thing they've
49. 1:42always done. Hoping AI doesn't
50. 1:43completely catch them flatfooted and
51. 1:45you're going to be first. But if a
52. 1:46creative role isn't right for you, then
53. 1:49you might be interested in being a data
54. 1:51analyst. Essentially, you use data to
55. 1:54figure out what's working, what's not,
56. 1:56and how to guide strategy. The salary is
57. 1:58also between 100 and 130k a year in pay.
58. 2:02The learning curve is medium. The
59. 2:04competition is high because there's
60. 2:05already a lot of people entering it, but
61. 2:07it's got stronger potential in regards
62. 2:09to being defensible long-term than a
63. 2:11creative director because every company
64. 2:13is sitting on thousands of terabytes of
65. 2:16data. Without data, you're just another
66. 2:18person with an opinion. I always say, I
67. 2:21love what you're saying. Bring the data
68. 2:22to back it up. What data did you look
69. 2:24at? Which customer did you look at? Show
70. 2:26me. But somebody needs to see that
71. 2:28inside of the business. the data, the
72. 2:31reporting, the business intelligence,
73. 2:32the analytics. Somebody has to look at
74. 2:34the data, the numbers, the text, the
75. 2:36information and make sense of it so the
76. 2:39business can actually grow. The amount
77. 2:40of data is always going up. The amount
78. 2:43of information companies capture about
79. 2:45their customers, about the product
80. 2:47always going up and somebody needs to be
81. 2:49able to look at it and somebody needs to
82. 2:51come in and learn how to extract
83. 2:53insights from the information. But
84. 2:55analyzing data might not make you as
85. 2:57much as protecting it. Which brings us
86. 2:59to number four from the bottom. Cyber
87. 3:01security specialist.
88. 3:05As long as there is digital information,
89. 3:08there will be people trying to hack it.
90. 3:10There are more people today empowered by
91. 3:12the AI to steal your information than
92. 3:14ever before. I mean, it's gotten to the
93. 3:16point where we have a key word that only
94. 3:19people know to say that if somebody
95. 3:21calls acting as me in my voice or
96. 3:23anybody else on my team, they have to
97. 3:25ask them what's the word because AI can
98. 3:27literally mimic everybody. Video, I
99. 3:29mean, there'll be a day where somebody
100. 3:30jumps on a Zoom call and tells the team,
101. 3:32"Hey, can somebody run down and order a
102. 3:34new MacBook Pro and ship at this
103. 3:36address?" And you'll be like, "Well, you
104. 3:37asked me to do it." It's like, "I was on
105. 3:39vacation. What are you talking about?"
106. 3:40There needs to be somebody that is using
107. 3:42the AI to counteract the bad people
108. 3:45using the AI to try to steal. And if
109. 3:47you're kind of that person that likes to
110. 3:48like protect stuff and like you got this
111. 3:50like bodyguard mentality, this is the
112. 3:52perfect role for you. You can literally
113. 3:53spend your day protecting digital assets
114. 3:55from breaches, people doing ransomware
115. 3:58where they're asking you to send Bitcoin
116. 4:00to unlock the computers or internal
117. 4:02threats from literally people inside the
118. 4:04company that are sneaking around and
119. 4:06doing sneaky deicky stuff and you got to
120. 4:07be like, "Woo, you did something you
121. 4:09should have been doing." And here's the
122. 4:10deal. You might go, "That sounds so
123. 4:12boring." Guess what? Boring pays well.
124. 4:15Extremely well. Which leads us to the
125. 4:17salary. It's between 110 and 140,000 a
126. 4:21year. The learning curve is higher, a
127. 4:24little bit more difficult, but the
128. 4:25competition is low. Most people want to
129. 4:27go do the very creative activities like
130. 4:30directing and analyst versus the hard
131. 4:32stuff like security. But that's why it
132. 4:35makes the competition low because most
133. 4:36people are not going to be doing it. One
134. 4:38moment of vulnerability can bring the
135. 4:40whole business down to zero. But if you
136. 4:42want to work in the most exciting
137. 4:43industry, you're going to love robotics
138. 4:45engineering.
139. 4:47You might not have seen some of these
140. 4:49demos, but let me tell you this. You
141. 4:52essentially have the opportunity to
142. 4:53design the machines that will automate
143. 4:55the physical world. I'm talking about
144. 4:58picking up after your kids, loading the
145. 5:00dishwasher, going and getting groceries,
146. 5:02driving the cars. Everybody's talking
147. 5:04about self-driving cars. What about when
148. 5:06the robots just drive the cars? Then
149. 5:07every car that isn't even set up with
150. 5:09the sensors just can drive because the
151. 5:11robots do it. And you go, "Oh, that's
152. 5:13science fiction. That won't happen for
153. 5:15years." Go search the Optimus Robotics
154. 5:17from Tesla. There is literally 10
155. 5:19robotics company in the world. Three of
156. 5:21them are from China that I monitor every
157. 5:24week to see what's coming so I can get
158. 5:26ready. If you want to get paid top
159. 5:29dollar and futureproof your life, get in
160. 5:31that field. And the cool part is the
161. 5:33salary starts at 115 to 150,000 a year.
162. 5:37The learning curve is high because you
163. 5:38might need a degree to get into these
164. 5:40companies, but the competition is only
165. 5:42medium and that's why it's way more
166. 5:44desirable than the security role. I had
167. 5:46a friend that got a massive order,
168. 5:4720,000 boxes for their jewelry product,
169. 5:50and they needed to pack the jewelry into
170. 5:51those boxes. And I told them, in the
171. 5:54future, you'll be able to rent a robot
172. 5:56and just show it once, and it will do
173. 5:58that over 48 hours, and you'll bring the
174. 5:59robot back. That's going to happen in
175. 6:01the next 6 months. So, if you want an
176. 6:04opportunity to be at the forefront of
177. 6:06innovation, then you got to get into
178. 6:08robotics engineering. Here's why I think
179. 6:10it's stable. Robotics engineers combine
180. 6:12the hardware and the software, making it
181. 6:14hard to replace. See, most people just
182. 6:16focus on like AI prompts and automation,
183. 6:18and that's all fun, but dude, you want
184. 6:20to be defensible, be the guy that
185. 6:22understands the hardware and the
186. 6:24software. And then what happens is labor
187. 6:26cost rises, robotics become the need,
188. 6:29not a nice to have. You know, Brett, the
189. 6:31CEO of Figure, he said it. The future is
190. 6:33selling work. That is his northstar
191. 6:36metric. But I get it. If you're not
192. 6:37interested in a degree, you can still
193. 6:39create massive value with number two,
194. 6:41full stack software engineer.
195. 6:46This is the person that not only knows
196. 6:48how the code can get written cuz AI is
197. 6:50writing 90% of the code today, but they
198. 6:52understand how to design scalable
199. 6:54systems. That's the part you can't just
200. 6:55like ask Lovable, which is an AI company
201. 6:58that build an app and trust it. that
202. 7:00will just be like secure and deployable
203. 7:02and have the ability for people to log
204. 7:04in and create accounts. No, you need
205. 7:06somebody that understands the security
206. 7:08infrastructure, the digital foundation
207. 7:10of great software and platforms and
208. 7:12manages that. And that's what a full
209. 7:13stack software engineer does. The median
210. 7:16salary for that role is 120 to 160k a
211. 7:19year. And that's what they're making
212. 7:21today minimum, but some are making way
213. 7:24more. And the cool part is the
214. 7:25difficulty is only medium. So that's
215. 7:28awesome. And the competition is higher
216. 7:30because a lot of people are being
217. 7:31retrained and replaced in these big
218. 7:34companies to be a full stack engineer.
219. 7:36Back in the day, being a specialist made
220. 7:38sense. No, today you need to be a
221. 7:40director of engineering, understanding
222. 7:41all the different things you can build
223. 7:43and directing that code. And I saw this
224. 7:45firsthand. One of our portfolio
225. 7:47companies at Martell Ventures, Revio,
226. 7:49the founder, Vivve, built a whole
227. 7:51platform by himself. one developer full
228. 7:54stack engineered it not only solving our
229. 7:56problem but solving it for hundreds of
230. 7:58other customers I'm seeing companies
231. 8:01start today with a business and a
232. 8:02technical person twoerson companies
233. 8:04build 10 million a year companies and
234. 8:06they need somebody that's going to be
235. 8:08able to do the full stack engineering
236. 8:09and if you weren't aware is one of the
237. 8:12highest forms of leverage and this is
238. 8:14why it's stable for today and into the
239. 8:15future this role creates immediate and
240. 8:17massive business value high leverage
241. 8:20productivity built with the new AI tools
242. 8:22is What companies want more than
243. 8:23anything, many businesses are realizing
244. 8:25they have a ton of stuff that they built
245. 8:27in the past that need to go away to
246. 8:29create a new experience for their
247. 8:31customers that's simplified and
248. 8:32leverages AI, not an if then statement
249. 8:35in the code so that they can be way more
250. 8:37productive with a leaner team, but they
251. 8:39need the person to understand the full
252. 8:41stack. But the best way to make sure AI
253. 8:43won't replace your job is to be the one
254. 8:45building it, which makes AI and machine
255. 8:47learning specialists our number one job
256. 8:49on the list. This person is a very
257. 8:51special person. They understand how to
258. 8:53build models that power recommendation.
259. 8:55They understand how to diagnose problems
260. 8:57to develop autonomous systems,
261. 8:58essentially agentic systems. This person
262. 9:01is special. I have dozens that work for
263. 9:03me at Martell Ventures because that
264. 9:06person is going to allow me to scale at
265. 9:08levels that no other company in the past
266. 9:09has ever done because they understand
267. 9:11the AI at the core level. See, most
268. 9:14people just play with the AI talking to
269. 9:16it, generating images and videos and
270. 9:18text. If you actually go on a website
271. 9:19called hugging face, you will see all
272. 9:22the language models, all the different
273. 9:24data sets, all the weights, all the
274. 9:25inference systems, all the vector
275. 9:27database structures, all of the tooling
276. 9:30needed to build innovation, that person
277. 9:33is going to make a lot of money. And the
278. 9:35minimum starting salary is 130K, 6
279. 9:38figure minimum, but they're making 180
280. 9:40plus, way more. If you can literally
281. 9:43master these tools, you'll be highly
282. 9:45sought out for and highly compensated.
283. 9:47The learning curve is high. The
284. 9:49difficulty is there. And the competition
285. 9:51is low. Have you seen what Zuck just
286. 9:53paid his top engineers for his new AI
287. 9:55team? $100 million a piece. 18 people.
288. 9:58It is wild. Why? Because these people
289. 10:00know how to build the future. So yes,
290. 10:01that's where it's at right now. But if
291. 10:03you decide to master this craft and go
292. 10:05allin, you will be valuable next year,
293. 10:08in 10 years, in 50 years. The way I like
294. 10:11to think about it is that like normal
295. 10:12developers and engineers, they use AI
296. 10:15tools like chef uses a recipe, right?
297. 10:17They just follow it. But AI specialists,
298. 10:19they create entirely new recipes. When I
299. 10:22look at OMR, the founder of Atlas, one
300. 10:24of our portfolio companies, he looked at
301. 10:26a completely broken system of manual
302. 10:29lead follow-up and built an AI platform
303. 10:32built to automate the entire lead
304. 10:34follow-up process and honestly every
305. 10:36other aspect of the customer
306. 10:38interaction. He built this cuz he
307. 10:40understood how to use the models. And
308. 10:41think about it this way. If you want to
309. 10:43elevate yourself, understand that
310. 10:45million-dollar companies are not built
311. 10:46off $10 problems. The bigger the
312. 10:48problem, the bigger the business, you
313. 10:50have to use AI to be able to solve those
314. 10:52problems because you can't do it with
315. 10:54basic logic anymore. Demand is rising in
316. 10:57every sector, including the lagards like
317. 10:59government, agriculture, and education.
318. 11:01They want this. They need innovation.
319. 11:04These are the jobs that are driving real
320. 11:06product innovation. AI isn't a trend.
321. 11:08It's literally the new foundation.
322. 11:10There's this great quote by Kevin Kell
323. 11:11and he said, "What can be electrified
324. 11:13will be cognified, meaning it will have
325. 11:15memory. The person that knows how to
326. 11:17write the code for that is going to be
327. 11:20in a really great position." These six
328. 11:21jobs will make you incredibly wealthy.
329. 11:23The reason I create these videos is
330. 11:25because I want to ensure that you
331. 11:26understand where the world's going.
332. 11:28Don't put your head in the sand. Don't
333. 11:30pretend like it's not happening. If
334. 11:31you're inspired by anything I share,
335. 11:34just go learn. Ask the AI to teach you.
336. 11:37Talk to it. Make it part of your habits.
337. 11:40The more you do that, the more
338. 11:41competitive you're going to be in any
339. 11:42job. Now, if you want to learn the
340. 11:44laziest ways to make money with AI,
341. 11:46click here and I'll see you on the other