The B2B Podcast Index
Cornering The Job Market

This Week in Jobs: California Steps in as Companies Cut Jobs for AI

Cornering The Job Market · 2026-05-22 · 23 min

Substance score

35 / 100

Five dimensions, 20 points each

Insight Density9 / 20
Originality7 / 20
Guest Caliber4 / 20
Specificity & Evidence12 / 20
Conversational Craft3 / 20

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

9 / 20

The episode has a handful of genuinely useful data points - the 100% first-year depreciation advantage for technology over human capital, the two-job-market thesis, and the skilled-trades replacement ratio - but these are buried under repeated hedging ('we don't really know,' 'it's all of the above') and circular commentary that pads the runtime significantly.

the effective tax burden for hiring a person versus a robot is up to six times more. That also doesn't get talked about a lot.
For every five people who retire in skilled trades, only two are coming in behind them.

Originality

7 / 20

The tax-depreciation framing for robot vs. human investment is a legitimately underexplored angle for a general audience, and the two-job-market split is competently articulated, but the broader AI-displacement narrative is thoroughly recycled, and the host repeatedly retreats to 'no one really knows' rather than staking out a position.

if you hire a robot, you get a full write-off for that... you specifically get 100% depreciation in year one
we could argue, as many do, about whether these cuts are specifically tied to AI, if that's true, if it's AI washing... The truth is, I think it's all of the above

Guest Caliber

4 / 20

This is a solo monologue by a staffing company owner who brings some practitioner context on payroll costs, but there is no guest at all, which fundamentally caps the caliber dimension; the host's commentary is largely observational rather than operator-level deep expertise.

as a staffing company owner, the payroll taxes that we pay, the fees that we pay to uh just to carry people on our payroll, I can tell you they're they're significant

Specificity & Evidence

12 / 20

The episode does better than average on specificity, citing Meta's 21,000 affected positions and $135B 2026 AI spend, Intuit's 17% workforce cut, the 500,000 skilled-trades shortage, the 5:2 retirement ratio, and ADP's 42,250 jobs figure; however, source attribution is loose ('there was a story about that this week that indeed put out') and some statistics are presented without methodology.

they're spending up to 135 billion, 135 billion on AI in 2026
By 2030, deaths will outpace births in our country. And we have immigration dropping. It's going to drop 90% over the next two years.

Conversational Craft

3 / 20

This is an uninterrupted solo monologue with no guest, no probing questions, no pushback, and no follow-up; the host occasionally hedges his own claims but never challenges them, and the format offers no opportunity for the kind of craft that elevates a podcast conversation.

it's a trend, it's a really bad trend that we're seeing not slowing down. And I don't know where this is going to end up.
So this is a mess.

Conversation analysis

Computed from the transcript - who did the talking, and the verbal tics along the way.

Filler words

so48right17uh7like4um2you know2I mean2kind of2actually1obviously1

Episode notes

AI job cuts aren't a future threat. They're this week's news, and the layoffs are starting to blend into the background. That might be the most dangerous part. This episode covers California Governor Gavin Newsom's executive order on AI displacement, including proposed subsidies, risk analysis, and retraining plans for white-collar workers being pushed out. Then we contrast that with the federal pullback on AI oversight, driven by concerns about falling behind China in the AI race. Protect workers on one side, keep the race moving on the other. We also get specific: Meta's cuts and reassignments to AI teams, banking layoffs targeting repetitive administrative work, and the two-track labor market, where shortages in healthcare and skilled trades can make the overall numbers look fine even as displaced workers have nowhere to land. If you're watching this shift closely, hit play and share it with someone who's thinking about their role. What part of this feels most personal to you right now? ️ WATCH TODAY'S EPISODE ON YOUTUBE: WANT TO LEARN MORE? Be sure to subscribe and check out 4 Corner Resources at FOLLOW PETE NEWSOME ONLINE: LinkedIn: Blog Articles:

Full transcript

23 min

Transcribed and scored by The B2B Podcast Index.

1 00:00:00,080 - > 00:00:01,439 Pete Newsome: Welcome back to the weekend jobs. 2 00:00:01,520 - > 00:00:03,839 I'm Pete Newsom, and you'll notice I'm solo today. 3 00:00:04,000 - > 00:00:07,440 Peter's out on vacation starting Memorial Day weekend early, but 4 00:00:07,440 - > 00:00:09,439 the job market news hasn't stopped. 5 00:00:09,519 - > 00:00:10,480 It never will. 6 00:00:10,640 - > 00:00:13,199 And this week we we had some big stories. 7 00:00:13,279 - > 00:00:16,800 It seems we have every week lately, centered around AI and 8 00:00:16,800 - > 00:00:18,559 centered around major job cuts. 9 00:00:18,719 - > 00:00:23,039 I wish that wasn't the case, but I don't create the news, and I 10 00:00:23,039 - > 00:00:26,000 don't think this is going to change anytime soon. 11 00:00:26,160 - > 00:00:29,120 So if you're tired of it already, I certainly am, at 12 00:00:29,120 - > 00:00:31,280 least about the job cuts. 13 00:00:31,519 - > 00:00:35,600 This is just seems to be the situation that we're in for the 14 00:00:35,600 - > 00:00:36,799 foreseeable future. 15 00:00:36,960 - > 00:00:39,280 And these headlines almost get ignored now. 16 00:00:39,439 - > 00:00:43,600 Some of the big cuts that happen would have been huge news if 17 00:00:43,600 - > 00:00:45,439 they happened in isolation. 18 00:00:45,759 - > 00:00:49,679 But these major employers' household names seem to keep 19 00:00:49,679 - > 00:00:50,240 piling on. 20 00:00:50,399 - > 00:00:54,240 Maybe they're just trying to get buried in headlines where this 21 00:00:54,240 - > 00:00:56,560 is taking place constantly. 22 00:00:56,960 - > 00:01:01,920 But it's a trend, it's a really bad trend that we're seeing not 23 00:01:02,000 - > 00:01:02,960 slowing down. 24 00:01:03,200 - > 00:01:05,680 And I don't know where this is going to end up. 25 00:01:05,920 - > 00:01:07,840 AI certainly isn't going away. 26 00:01:08,000 - > 00:01:10,239 That is only picking up speed. 27 00:01:10,400 - > 00:01:15,280 And we could argue, as many do, about whether these cuts are 28 00:01:15,280 - > 00:01:19,599 specifically tied to AI, if that's true, if it's AI washing, 29 00:01:19,680 - > 00:01:23,599 if these companies are really just right-sizing after 30 00:01:23,599 - > 00:01:25,200 overhiring post-COVID. 31 00:01:25,680 - > 00:01:27,840 The truth is, I think it's all of the above. 32 00:01:28,000 - > 00:01:29,840 At least that's my perspective. 33 00:01:30,159 - > 00:01:35,120 And we won't really know what each company is doing unless 34 00:01:35,120 - > 00:01:38,239 we're behind the closed doors where those decisions are being 35 00:01:38,239 - > 00:01:38,560 made. 36 00:01:38,799 - > 00:01:42,959 They're citing these layoffs as being technology-driven, 37 00:01:43,200 - > 00:01:49,280 AI-driven, investing in AI, gaining efficiencies from the AI 38 00:01:49,280 - > 00:01:50,319 investments. 39 00:01:50,640 - > 00:01:52,799 But the reality is we don't know. 40 00:01:52,959 - > 00:01:55,200 So I really do think it's all of the above. 41 00:01:55,359 - > 00:02:01,840 And I'm on the side of AI having a serious impact on jobs 42 00:02:01,840 - > 00:02:02,480 overall. 43 00:02:03,120 - > 00:02:06,480 And so what happened yesterday is there were two executive 44 00:02:06,480 - > 00:02:08,080 orders that were in play. 45 00:02:08,240 - > 00:02:10,719 One was signed, one was canceled. 46 00:02:10,960 - > 00:02:14,400 At the state level, and I've been talking about this for a 47 00:02:14,400 - > 00:02:17,919 while, that the government is going to become increasingly 48 00:02:17,919 - > 00:02:20,960 involved in AI's impact on the job market. 49 00:02:21,120 - > 00:02:23,039 They're now seeing it, as always. 50 00:02:23,199 - > 00:02:26,319 The government's a little slow to react with things, but I 51 00:02:26,319 - > 00:02:28,879 don't know if they can stop what's happening. 52 00:02:28,960 - > 00:02:32,639 And in some cases, at the federal level, I don't know, 53 00:02:32,800 - > 00:02:34,800 they're inclined to stop what's happening. 54 00:02:34,960 - > 00:02:40,000 So this is going to become a bigger story as time goes by, as 55 00:02:40,000 - > 00:02:44,639 we see more cuts, regardless of what they're attributed to AI, 56 00:02:44,719 - > 00:02:49,039 whether they're actually caused by AI, again, my take is that 57 00:02:49,039 - > 00:02:50,400 it's all of the above. 58 00:02:50,719 - > 00:02:52,240 But it is happening. 59 00:02:52,479 - > 00:02:55,759 And AI is becoming more prevalent in every aspect of 60 00:02:55,759 - > 00:02:56,719 life and business. 61 00:02:56,879 - > 00:03:01,039 And so the government is going to, of course, try to intervene. 62 00:03:01,280 - > 00:03:05,680 Their constituents are certainly going to put pressure on elected 63 00:03:05,680 - > 00:03:08,159 officials to try to protect them. 64 00:03:08,800 - > 00:03:12,080 But there's definitely a push and pull going on with this 65 00:03:12,080 - > 00:03:12,400 right now. 66 00:03:12,560 - > 00:03:16,080 So yesterday, California Governor Newsome signed an 67 00:03:16,080 - > 00:03:20,719 executive order aimed at protecting workers against AI's 68 00:03:20,719 - > 00:03:21,280 impact. 69 00:03:21,439 - > 00:03:24,560 He sounds to be specifically worried about white-collar 70 00:03:24,560 - > 00:03:24,879 roles. 71 00:03:25,039 - > 00:03:28,159 So customer service, software developer positions, marketing 72 00:03:28,159 - > 00:03:29,360 and sales roles. 73 00:03:29,680 - > 00:03:34,159 And he's called for subsidies for companies that keep workers 74 00:03:34,159 - > 00:03:35,280 instead of replacing them. 75 00:03:35,439 - > 00:03:39,360 Now, I've talked in the past about how there's a huge tax 76 00:03:39,360 - > 00:03:41,439 benefit to not hiring employees. 77 00:03:41,599 - > 00:03:45,360 If you hire a robot, you get a full write-off for that. 78 00:03:45,439 - > 00:03:49,360 If you have an employee, or you specifically get 100% 79 00:03:49,759 - > 00:03:51,439 depreciation in year one. 80 00:03:51,680 - > 00:03:54,240 That is a law that's been put in place. 81 00:03:54,400 - > 00:03:58,159 And that doesn't get talked about a lot, but it is an 82 00:03:58,159 - > 00:04:01,759 incentive for companies to make technology investments. 83 00:04:01,919 - > 00:04:02,879 That's the intention. 84 00:04:03,120 - > 00:04:06,719 But what's happening now that wasn't the case 20 years ago 85 00:04:06,719 - > 00:04:07,759 when investments were made. 86 00:04:07,840 - > 00:04:11,840 And by the way, those that 100% depreciation in year one did not 87 00:04:11,840 - > 00:04:13,199 exist 20 years ago. 88 00:04:13,439 - > 00:04:17,199 But now it forces companies to decide do I want to invest in a 89 00:04:17,199 - > 00:04:19,759 robot or do I want to invest in a human? 90 00:04:19,839 - > 00:04:23,600 Because the effective tax burden for hiring a person versus a 91 00:04:23,600 - > 00:04:26,560 robot is up to six times more. 92 00:04:26,720 - > 00:04:28,879 That also doesn't get talked about a lot. 93 00:04:29,120 - > 00:04:35,680 So the need to help companies be motivated to hire or to retain 94 00:04:35,680 - > 00:04:39,519 workers versus replacing them, that makes a lot of sense to me. 95 00:04:39,680 - > 00:04:42,800 I'm now look, I'm an anti-tax person overall. 96 00:04:43,360 - > 00:04:48,560 So as a staffing company owner, the payroll taxes that we pay, 97 00:04:48,800 - > 00:04:53,120 the fees that we pay to uh just to carry people on our payroll, 98 00:04:53,279 - > 00:04:55,920 I can tell you they're they're significant. 99 00:04:56,480 - > 00:04:57,199 They're massive. 100 00:04:57,279 - > 00:05:01,839 And when you look at 30% effective tax rate for an 101 00:05:01,839 - > 00:05:06,639 employee versus zero, well, that's gonna put a lot of 102 00:05:06,639 - > 00:05:10,000 companies in a place where they're gonna do what's best for 103 00:05:10,000 - > 00:05:13,040 them, which may not be best for society as a whole. 104 00:05:13,279 - > 00:05:14,639 So that's taking place. 105 00:05:14,879 - > 00:05:21,120 And I think that this executive order is a step in trying to 106 00:05:21,120 - > 00:05:21,680 stop that. 107 00:05:21,920 - > 00:05:26,079 What they're looking to do is try to assess how big this 108 00:05:26,079 - > 00:05:27,120 problem really is. 109 00:05:27,680 - > 00:05:31,040 The executive order calls for a risk analysis report to be 110 00:05:31,040 - > 00:05:31,759 developed. 111 00:05:31,839 - > 00:05:36,560 Uh they're looking to um create a deployment and analysis 112 00:05:36,560 - > 00:05:40,480 framework that they can maintain and update going forward, and 113 00:05:40,480 - > 00:05:44,800 they're also looking to train employees in the state who have 114 00:05:44,800 - > 00:05:46,480 been displaced because of AI. 115 00:05:46,800 - > 00:05:49,680 So there's definitely an effort. 116 00:05:49,839 - > 00:05:53,120 California is ahead of the curve with this, with other companies 117 00:05:53,120 - > 00:05:56,160 who've said, we're concerned about this, we think it's a 118 00:05:56,160 - > 00:05:59,040 growing problem, and we're going to try to do something about it. 119 00:05:59,199 - > 00:06:01,519 Now, can they stop this AI train? 120 00:06:01,680 - > 00:06:04,879 That's the other side of the equation here. 121 00:06:05,519 - > 00:06:09,439 Trump was supposed to be signing an executive order yesterday, 122 00:06:09,600 - > 00:06:13,920 which coincidentally was, or I'll rather say ironically, was 123 00:06:13,920 - > 00:06:17,839 canceled a few hours after the California executive order was 124 00:06:17,839 - > 00:06:18,240 signed. 125 00:06:18,480 - > 00:06:22,240 What the executive order that Trump was intending to sign 126 00:06:22,240 - > 00:06:25,279 yesterday, that he canceled, would have established a 127 00:06:25,279 - > 00:06:29,120 framework for the government to vet national security risks of 128 00:06:29,120 - > 00:06:32,079 the vo of the most advanced AI systems before they were 129 00:06:32,079 - > 00:06:33,199 publicly released. 130 00:06:33,360 - > 00:06:37,360 It was recently compared by Kevin Hazett, who's one of 131 00:06:37,360 - > 00:06:42,959 Trump's major advisors on this, as similar to approving an FDA 132 00:06:42,959 - > 00:06:43,199 drug. 133 00:06:43,279 - > 00:06:46,160 And that probably makes a lot of people cringe to hear. 134 00:06:46,399 - > 00:06:50,879 But what they essentially wanted to do was look at the new AI 135 00:06:50,879 - > 00:06:53,759 tools before they were allowed to be used by the public and 136 00:06:53,759 - > 00:06:56,800 decide how risky they were, how safe they were. 137 00:06:57,199 - > 00:06:58,959 And he's taken that off the table. 138 00:06:59,120 - > 00:07:03,199 Now I don't know this, but I suspect that a lot of the people 139 00:07:03,199 - > 00:07:07,680 who helped him get elected were in his ear not happy about this, 140 00:07:07,839 - > 00:07:11,519 even though supposedly the major AI companies were behind it. 141 00:07:11,759 - > 00:07:15,600 Someone convinced him to remove it, and he says it's because we 142 00:07:15,600 - > 00:07:19,839 don't want to weaken America's competitiveness against China. 143 00:07:20,639 - > 00:07:26,000 And that's why this is such a tough thing, because we know 144 00:07:26,000 - > 00:07:29,680 that they're going to keep pushing the envelope with AI, as 145 00:07:29,680 - > 00:07:34,800 will other countries, as will people who aren't going to 146 00:07:34,800 - > 00:07:35,680 follow the rules. 147 00:07:35,920 - > 00:07:38,079 So this is a mess. 148 00:07:38,240 - > 00:07:45,759 And I don't blame, credit anyone for how they're trying to solve 149 00:07:45,759 - > 00:07:50,079 this, how they're trying to manage this, because no one 150 00:07:50,079 - > 00:07:52,000 really knows where all of this is leading. 151 00:07:52,160 - > 00:07:55,040 We still have almost an equal number of people saying that 152 00:07:55,040 - > 00:07:59,040 there's going to be as much job creation as there is job loss as 153 00:07:59,040 - > 00:08:00,319 a result of AI. 154 00:08:00,639 - > 00:08:04,959 But we do know that this is something that is becoming 155 00:08:05,279 - > 00:08:08,560 increasingly important for all of us. 156 00:08:08,800 - > 00:08:12,879 And as it relates to the cuts that are happening, the 157 00:08:12,879 - > 00:08:15,439 government just can't ignore it any further. 158 00:08:16,000 - > 00:08:18,319 It's becoming a really big deal. 159 00:08:18,560 - > 00:08:20,560 And the the cuts are massive. 160 00:08:20,720 - > 00:08:24,240 So let's let's talk about that too, because that is also part 161 00:08:24,240 - > 00:08:30,079 of this story, where it's not just that AI exists, it's that 162 00:08:30,079 - > 00:08:31,360 companies are acting on it. 163 00:08:31,439 - > 00:08:36,080 So Meta this week enacted the job cuts that they were they've 164 00:08:36,080 - > 00:08:37,120 been talking about for a while. 165 00:08:37,200 - > 00:08:40,480 There were rumors, and then they confirmed them, and now it 166 00:08:40,480 - > 00:08:41,200 finally happened. 167 00:08:41,360 - > 00:08:46,159 So they laid off 8,000 people, they reassigned 7,000 to AI 168 00:08:46,159 - > 00:08:46,399 teams. 169 00:08:46,559 - > 00:08:48,399 And when you think about those numbers, they're easy to say, 170 00:08:48,480 - > 00:08:48,639 right? 171 00:08:48,799 - > 00:08:50,480 8,000, 7,000. 172 00:08:50,960 - > 00:08:54,639 This is an enormous amount of people whose lives were just 173 00:08:54,639 - > 00:08:58,320 affected by the layoff in a very significant negative way. 174 00:08:58,399 - > 00:09:02,879 And now we have 7,000 roles being reassigned specifically to 175 00:09:02,879 - > 00:09:03,519 AI. 176 00:09:03,840 - > 00:09:07,600 That is just, it should be major news on its own, its own, as I 177 00:09:07,600 - > 00:09:08,240 said earlier. 178 00:09:08,399 - > 00:09:11,679 But it just kind of gets buried now because these big numbers, 179 00:09:11,840 - > 00:09:14,639 we're seeing them so frequently that we don't really react to 180 00:09:14,639 - > 00:09:15,120 them anymore. 181 00:09:15,200 - > 00:09:17,519 It all almost seems like monopoly money that we're 182 00:09:17,519 - > 00:09:18,000 talking about. 183 00:09:18,240 - > 00:09:20,399 It's yeah, we read it, but it's not real. 184 00:09:20,480 - > 00:09:24,320 Or unless it impacts us specifically, it's hard to react 185 00:09:24,320 - > 00:09:24,720 to it. 186 00:09:24,799 - > 00:09:27,120 But these are major things taking place right now. 187 00:09:27,279 - > 00:09:29,440 They also cancel 6,000 rolls. 188 00:09:29,600 - > 00:09:35,039 So a total of 21,000 positions affected at a single company, 189 00:09:35,279 - > 00:09:37,279 all centered around AI. 190 00:09:37,519 - > 00:09:44,159 Meanwhile, they're spending up to 135 billion, 135 billion on 191 00:09:44,159 - > 00:09:46,159 AI in 2026. 192 00:09:46,639 - > 00:09:52,559 So this is such a big thing that is going to impact all of our 193 00:09:52,559 - > 00:09:56,399 lives, that of course the government has to start getting 194 00:09:56,399 - > 00:09:57,279 involved. 195 00:09:57,759 - > 00:10:01,759 State of California's trying to protect workers. 196 00:10:01,919 - > 00:10:05,200 The federal government seems to be backing off, putting some 197 00:10:05,200 - > 00:10:06,639 restrictions in place. 198 00:10:07,039 - > 00:10:11,120 But as the weeks and months go on, I think we're going to 199 00:10:11,120 - > 00:10:15,120 continue to see more people calling for the government to do 200 00:10:15,120 - > 00:10:15,679 something about it. 201 00:10:15,840 - > 00:10:20,320 I just don't know how much they will or can do about it going 202 00:10:20,320 - > 00:10:20,639 forward. 203 00:10:20,720 - > 00:10:25,200 But this cut and rebuild model seems to be what's in vogue 204 00:10:25,200 - > 00:10:28,559 right now, where companies are making big cuts. 205 00:10:28,720 - > 00:10:30,240 Maybe they work out, maybe they don't. 206 00:10:30,399 - > 00:10:33,919 Maybe they're specifically because of AI, maybe they're 207 00:10:33,919 - > 00:10:34,000 not. 208 00:10:34,159 - > 00:10:38,399 Maybe they were overhiring reasons, maybe they're not. 209 00:10:38,720 - > 00:10:41,279 But we know the cuts are happening, and that's what's 210 00:10:41,279 - > 00:10:42,159 most relevant here. 211 00:10:42,320 - > 00:10:45,440 The reasons behind it to me are secondary. 212 00:10:46,639 - > 00:10:50,080 But companies are trying to figure out how to leverage AI. 213 00:10:50,159 - > 00:10:52,720 They're trying to figure out how to gain efficiencies, how to cut 214 00:10:52,720 - > 00:10:56,720 costs, and as we talked about earlier, when you're faced with 215 00:10:57,039 - > 00:11:01,840 100% depreciation on a new technology that you can invest 216 00:11:02,080 - > 00:11:07,120 in versus an expensive employee, these public companies at least 217 00:11:07,360 - > 00:11:11,200 are probably going to err on the side of trying to get the 218 00:11:11,200 - > 00:11:11,759 savings. 219 00:11:12,000 - > 00:11:13,600 It just makes sense to do. 220 00:11:13,759 - > 00:11:16,240 Whether they should do it morally, ethically, that's a 221 00:11:16,240 - > 00:11:16,960 different discussion. 222 00:11:17,120 - > 00:11:18,000 It is happening. 223 00:11:18,240 - > 00:11:20,320 So that is what's been going on there. 224 00:11:20,480 - > 00:11:24,559 And we've also seen some cuts at other major companies, which I 225 00:11:24,799 - > 00:11:30,480 continue to say and be surprised by that these things on their 226 00:11:30,480 - > 00:11:32,000 own would be big story. 227 00:11:32,159 - > 00:11:35,360 Standard Chartered eliminates 7,000 jobs. 228 00:11:35,519 - > 00:11:37,200 7,000, like it's no big deal. 229 00:11:37,360 - > 00:11:42,000 And their CEO said that what they're doing is replacing lower 230 00:11:42,080 - > 00:11:43,840 value human capital. 231 00:11:44,480 - > 00:11:49,279 Okay, so that's where AI really starts to have an impact first 232 00:11:49,279 - > 00:11:50,000 on what's happening. 233 00:11:50,159 - > 00:11:54,480 And yes, AI makes mistakes, yes, it hallucinates. 234 00:11:54,639 - > 00:11:56,080 Oh, it's far from perfect. 235 00:11:56,240 - > 00:12:01,039 I mean, my own AI that I use continues to not be able to 236 00:12:01,039 - > 00:12:03,039 grasp what day of the week it is. 237 00:12:03,200 - > 00:12:06,960 It's almost become laughable to me how consistently it happens, 238 00:12:07,279 - > 00:12:11,120 where it just puts, it has access to a calendar of all the 239 00:12:11,120 - > 00:12:12,399 complex things it can do. 240 00:12:12,639 - > 00:12:16,480 It doesn't ever seem to be able to match up the day of the week 241 00:12:16,480 - > 00:12:17,840 with the day of the month. 242 00:12:18,000 - > 00:12:21,200 And it I, you know, so it's far from perfect at this point. 243 00:12:21,360 - > 00:12:22,240 We know that. 244 00:12:22,559 - > 00:12:27,039 But what AI does effectively is repetitive tasks. 245 00:12:27,200 - > 00:12:30,399 And there's the CEO of Standard Charter referred to this as 246 00:12:30,399 - > 00:12:31,840 lower value human capital. 247 00:12:31,919 - > 00:12:35,919 And I see where he's coming from with that because if AI can do 248 00:12:35,919 - > 00:12:40,240 something that is a low-level administrative effort that is 249 00:12:40,240 - > 00:12:43,519 easy to replace, well, of course they're going to do that. 250 00:12:43,600 - > 00:12:47,759 Now the hope is that we're in the and the AI optimists will 251 00:12:48,080 - > 00:12:51,200 say that the result of all of this is going to elevate what 252 00:12:51,200 - > 00:12:52,720 humans get to spend their time doing. 253 00:12:52,879 - > 00:12:55,519 No one likes to do administrative repetitive tasks 254 00:12:55,519 - > 00:12:57,120 that are boring and dull. 255 00:12:57,679 - > 00:13:00,960 We want people to be doing things that are more interesting 256 00:13:00,960 - > 00:13:04,480 to them, that add more value to an organization. 257 00:13:04,799 - > 00:13:06,960 But when you see the cuts, that's not happening. 258 00:13:07,039 - > 00:13:08,559 And that's that's my issue with this. 259 00:13:08,720 - > 00:13:11,279 It's great that the potential is there to do more strategic 260 00:13:11,279 - > 00:13:14,399 things and creative things and really let humans be the best 261 00:13:14,399 - > 00:13:15,440 that they can be. 262 00:13:15,679 - > 00:13:18,240 But what's going to happen to those 7,000 workers who are 263 00:13:18,240 - > 00:13:21,120 losing their jobs in a very competitive market? 264 00:13:21,440 - > 00:13:26,879 Because since presumably they're the ones doing this low-value 265 00:13:26,879 - > 00:13:30,480 human capital work, as he put it, well, those are the other 266 00:13:30,480 - > 00:13:31,600 people getting cut too. 267 00:13:31,679 - > 00:13:34,399 So now we have people competing for the same jobs. 268 00:13:34,480 - > 00:13:39,600 And we'll talk about in just a minute how it's kind of a state 269 00:13:39,600 - > 00:13:41,120 of two different job markets. 270 00:13:41,200 - > 00:13:45,200 But I first just want to mention that in two it also cut 3,000 271 00:13:45,200 - > 00:13:47,840 jobs, which is 17% of its workforce. 272 00:13:48,080 - > 00:13:52,559 3,000 jobs, 3,000, 3,000 people affected and no longer employed. 273 00:13:52,720 - > 00:13:54,399 And that one just gets buried, right? 274 00:13:54,639 - > 00:13:58,159 It was in all the headlines for a second and now it's gone. 275 00:13:58,399 - > 00:14:03,519 But individually, these are all really big stories that uh at 276 00:14:03,600 - > 00:14:07,039 least should be bigger stories in a normal world, but right now 277 00:14:07,200 - > 00:14:08,879 they're they're just getting buried. 278 00:14:08,960 - > 00:14:16,159 And so you if you look at who's getting cut, this is not equal. 279 00:14:16,480 - > 00:14:17,360 It's not equal. 280 00:14:17,440 - > 00:14:20,559 And a lot of people will say that the job market is really 281 00:14:20,559 - > 00:14:24,720 strong right now because of all the hiring that's going on in 282 00:14:24,720 - > 00:14:27,600 construction, in healthcare. 283 00:14:27,759 - > 00:14:30,399 And yes, those things are true. 284 00:14:30,720 - > 00:14:34,720 But here's the problem: we have a shortage of workers in those 285 00:14:34,720 - > 00:14:35,200 areas. 286 00:14:35,440 - > 00:14:39,360 So the people who, those low-value people who are getting 287 00:14:39,360 - > 00:14:42,960 cut, they can't step into nursing jobs, they can't step 288 00:14:42,960 - > 00:14:44,799 into skilled trades work. 289 00:14:46,240 - > 00:14:48,240 This is a this is two job markets. 290 00:14:48,320 - > 00:14:49,360 One's getting worse, right? 291 00:14:49,440 - > 00:14:53,120 That we're having a greater need for healthcare professionals as 292 00:14:53,120 - > 00:14:55,679 people are dying faster than they're being born, people are 293 00:14:55,679 - > 00:15:00,240 getting sick faster than new people are coming into the 294 00:15:00,240 - > 00:15:00,960 workforce. 295 00:15:01,120 - > 00:15:04,559 So the need for healthcare professionals is going to 296 00:15:04,559 - > 00:15:08,000 increase in the foreseeable future over the over the next 10 297 00:15:08,000 - > 00:15:08,240 years. 298 00:15:08,399 - > 00:15:12,879 By 2030, deaths will outpace births in our country. 299 00:15:13,120 - > 00:15:15,440 And we have immigration dropping. 300 00:15:15,600 - > 00:15:18,720 It's going to drop 90% over the next two years. 301 00:15:18,879 - > 00:15:22,000 There was a story about that this week that indeed put out, 302 00:15:22,080 - > 00:15:25,120 and so we're seeing lower interest for foreign workers 303 00:15:25,120 - > 00:15:25,440 right now. 304 00:15:25,600 - > 00:15:29,919 Okay, so immigration's down, people are getting older, people 305 00:15:29,919 - > 00:15:32,879 are getting sicker, and we already don't have enough 306 00:15:32,879 - > 00:15:33,440 nurses. 307 00:15:33,600 - > 00:15:36,320 We already have it don't have enough healthcare professionals 308 00:15:36,320 - > 00:15:38,399 who are not easy to replace. 309 00:15:38,639 - > 00:15:43,840 Similarly, with construction, those roles are booming right 310 00:15:43,840 - > 00:15:44,000 now. 311 00:15:44,080 - > 00:15:46,799 And it's great for the workers in that area, but it's not great 312 00:15:46,799 - > 00:15:51,360 for us overall because we don't have enough people to do the 313 00:15:51,360 - > 00:15:51,519 work. 314 00:15:51,679 - > 00:15:55,360 We already have a shortage of half a million skilled trades 315 00:15:55,360 - > 00:15:56,799 workers in the country. 316 00:15:57,039 - > 00:16:01,120 And similar to healthcare, we're losing people faster than we're 317 00:16:01,120 - > 00:16:01,759 replacing them. 318 00:16:01,840 - > 00:16:05,519 For every five people who retire in skilled trades, only two are 319 00:16:05,519 - > 00:16:06,879 coming in behind them. 320 00:16:07,120 - > 00:16:11,039 So that is what is so fascinating to me and also 321 00:16:11,279 - > 00:16:15,440 somewhat terrifying about the current state of the job market. 322 00:16:15,759 - > 00:16:21,039 And yes, it's awesome that AI is creating a lot of jobs in 323 00:16:21,039 - > 00:16:23,440 construction because of the data centers. 324 00:16:23,919 - > 00:16:26,960 We won't get into whether the data centers are a good idea 325 00:16:27,039 - > 00:16:27,360 right now. 326 00:16:27,440 - > 00:16:33,120 There's obviously two very uh different camps on that, on 327 00:16:33,120 - > 00:16:35,519 whether they're a good thing, whether they're a bad thing. 328 00:16:35,759 - > 00:16:39,200 But no one can deny that they are creating a need for more 329 00:16:39,519 - > 00:16:42,240 people to work in the construction space, more skilled 330 00:16:42,480 - > 00:16:43,519 trades workers. 331 00:16:44,159 - > 00:16:46,720 But that just means it's gonna be harder for everyone else to 332 00:16:46,720 - > 00:16:48,080 hire skilled trades. 333 00:16:48,240 - > 00:16:51,440 It's gonna be higher at the residential level level, it's 334 00:16:51,440 - > 00:16:57,519 gonna be harder at the uh for construction projects that don't 335 00:16:57,519 - > 00:17:00,240 involve data centers because these AI companies building the 336 00:17:00,240 - > 00:17:03,039 data centers have unlimited budgets to throw at this. 337 00:17:03,200 - > 00:17:06,240 So it's it's it's really just a big mess. 338 00:17:06,480 - > 00:17:11,599 And so the theme for this week to me is the government is 339 00:17:11,759 - > 00:17:14,559 starting to draw a line in the sand about this. 340 00:17:14,799 - > 00:17:17,279 California's made their position very clear. 341 00:17:17,440 - > 00:17:19,279 They're looking to protect workers. 342 00:17:19,440 - > 00:17:22,079 I expect other states to follow soon. 343 00:17:22,319 - > 00:17:25,359 I don't know how effective they can be at it, but they're going 344 00:17:25,359 - > 00:17:26,000 to try. 345 00:17:26,240 - > 00:17:30,319 The federal government, at least for now, has seemed to back off 346 00:17:30,480 - > 00:17:32,640 trying to slow these things down. 347 00:17:32,799 - > 00:17:34,160 They don't want the U.S. 348 00:17:34,319 - > 00:17:36,480 to fall behind to China. 349 00:17:37,039 - > 00:17:40,559 If that is truly their motive for doing this. 350 00:17:40,799 - > 00:17:43,039 And just like all these decisions that are being made, 351 00:17:43,200 - > 00:17:45,839 unless you're in the room where it's happening, you don't really 352 00:17:45,839 - > 00:17:46,000 know. 353 00:17:46,079 - > 00:17:47,920 But that's what they're saying publicly. 354 00:17:48,400 - > 00:17:52,160 The floodgates are still open, AI is going to continue to go 355 00:17:52,160 - > 00:17:55,440 full speed ahead for the foreseeable future. 356 00:17:55,920 - > 00:18:00,960 So expect more job loss, expect more cuts, and we'll see where 357 00:18:00,960 - > 00:18:02,400 it where it all leads. 358 00:18:02,640 - > 00:18:05,759 Because we are living this in real time together. 359 00:18:06,000 - > 00:18:09,680 And as I always say on this topic, anyone who tells you 360 00:18:09,680 - > 00:18:13,839 definitively that they know what to expect, don't believe them. 361 00:18:14,079 - > 00:18:16,640 Because we've never experienced anything like this before. 362 00:18:16,880 - > 00:18:17,759 This is an experiment. 363 00:18:17,839 - > 00:18:19,599 We're living in real time together. 364 00:18:19,759 - > 00:18:21,680 So it makes sense to pay attention to it. 365 00:18:21,839 - > 00:18:25,359 That's why I talk about it so much and pay attention so 366 00:18:25,359 - > 00:18:26,319 closely to what's happening. 367 00:18:26,400 - > 00:18:29,039 And that's what I encourage everyone else to do, because 368 00:18:29,039 - > 00:18:31,279 eventually this is going to come to your doorstep. 369 00:18:31,519 - > 00:18:36,480 So even if you're going to retire soon, well, that means 370 00:18:36,480 - > 00:18:39,440 you're probably older, and that means what's happening in the 371 00:18:39,440 - > 00:18:41,200 healthcare market's going to affect you. 372 00:18:41,359 - > 00:18:44,720 If you work in an industry that doesn't, you don't think is 373 00:18:44,720 - > 00:18:50,960 going to be impacted by I by AI, well, good luck because it 374 00:18:50,960 - > 00:18:52,000 ultimately will. 375 00:18:52,079 - > 00:18:53,440 It's going to hit all of us. 376 00:18:53,599 - > 00:18:57,359 So for everyone in the workforce, pay attention to 377 00:18:57,359 - > 00:18:57,519 this. 378 00:18:58,240 - > 00:18:59,759 Use it, embrace it. 379 00:19:00,079 - > 00:19:01,440 Don't don't be afraid of it. 380 00:19:01,519 - > 00:19:04,640 Don't ignore it by by all by all means. 381 00:19:04,960 - > 00:19:10,480 And try your best to look ahead and see how it is going to 382 00:19:10,480 - > 00:19:15,519 impact your profession, your company, your ability to earn 383 00:19:15,519 - > 00:19:16,079 income. 384 00:19:16,480 - > 00:19:18,880 That's incumbent upon all of us because I don't think there's 385 00:19:18,880 - > 00:19:20,160 anyone coming to save us, right? 386 00:19:20,319 - > 00:19:22,880 The government's going to try, they're going to try to jump in, 387 00:19:23,200 - > 00:19:26,480 maybe for different interests that align with yours. 388 00:19:26,640 - > 00:19:28,960 And so don't count on anyone else here. 389 00:19:29,200 - > 00:19:31,839 So that those are the big stories for today. 390 00:19:32,000 - > 00:19:37,759 Again, big cuts, big employers' cuts that happened, and these 391 00:19:38,000 - > 00:19:41,680 executive orders, one signed, one canceled. 392 00:19:41,920 - > 00:19:44,960 We'll see what happens with that over the weeks and months to 393 00:19:44,960 - > 00:19:45,119 come. 394 00:19:45,279 - > 00:19:47,519 There's definitely going to be more news in that area. 395 00:19:47,680 - > 00:19:50,799 But before we close, I do want to try to find some positive 396 00:19:50,799 - > 00:19:51,200 news. 397 00:19:51,440 - > 00:19:55,359 I don't I always look for this to end with. 398 00:19:55,759 - > 00:19:58,240 Sometimes we find it, sometimes we don't. 399 00:19:58,640 - > 00:20:02,720 But there is some, there is there is some positivity right 400 00:20:02,720 - > 00:20:07,440 now, and that is that we're seeing some uh we're seeing an 401 00:20:07,440 - > 00:20:11,119 uptick in in in hiring, at least at the private level, according 402 00:20:11,119 - > 00:20:11,839 to ADP. 403 00:20:11,920 - > 00:20:16,640 The ADP pulse rebounded this week with 42,250 jobs, or rather 404 00:20:16,799 - > 00:20:18,000 last week that were added. 405 00:20:18,160 - > 00:20:20,559 So that's heading in a good direction. 406 00:20:20,720 - > 00:20:23,519 Uh unemployment seems to be just flat. 407 00:20:23,599 - > 00:20:26,799 So even though we're seeing all these big layoffs, that hasn't 408 00:20:26,799 - > 00:20:28,480 caught up to the unemployment numbers. 409 00:20:28,559 - > 00:20:31,039 They came in at 209,000 for last week. 410 00:20:31,279 - > 00:20:33,839 So we're we're holding pretty steady there, which is good 411 00:20:34,240 - > 00:20:36,720 because the unemployment isn't historically high. 412 00:20:36,960 - > 00:20:40,480 And I do scratch my head a little bit about that, why we 413 00:20:40,480 - > 00:20:42,240 haven't seen that uptick yet. 414 00:20:42,400 - > 00:20:44,079 But for now, we're holding pretty steady. 415 00:20:44,240 - > 00:20:46,880 So the job market as a whole isn't bad, although selectively 416 00:20:46,960 - > 00:20:47,519 it is, right? 417 00:20:47,599 - > 00:20:50,720 I mean, and it's balanced by some areas doing really well, 418 00:20:51,039 - > 00:20:54,240 some certainly at the lower level, starting to be impacted. 419 00:20:54,319 - > 00:20:56,720 So, but for now, overall, it is steady. 420 00:20:56,799 - > 00:21:01,440 And then Strata Institute found that employers expect AI to 421 00:21:01,440 - > 00:21:06,160 increase entry-level hiring at a three to one ratio over time. 422 00:21:06,480 - > 00:21:08,799 So let's hope they're right. 423 00:21:08,880 - > 00:21:14,319 And and that is ultimately what if I if I try to be optimistic, 424 00:21:14,640 - > 00:21:18,720 if I have to be optimistic about AI's impact on the job market, 425 00:21:18,960 - > 00:21:22,960 is that we'll, while we're dealing with cuts now, and then 426 00:21:23,039 - > 00:21:26,079 granted this doesn't help anyone who's who is dealing with it in 427 00:21:26,079 - > 00:21:29,839 the moment, but that ultimately new opportunities will be 428 00:21:29,839 - > 00:21:33,519 created that we just can't foresee yet, that there will be 429 00:21:33,519 - > 00:21:37,839 a need for people in roles that have never previously existed. 430 00:21:38,160 - > 00:21:41,920 So that that is, I I I believe that is going to happen. 431 00:21:42,079 - > 00:21:45,519 To what degree versus the cuts, that's where it gets a little 432 00:21:45,519 - > 00:21:47,920 fuzzy for me or really fuzzy for me. 433 00:21:48,079 - > 00:21:50,000 And I'm not as optimistic. 434 00:21:50,319 - > 00:21:54,640 But there are a lot of a lot of smart people who are very 435 00:21:54,640 - > 00:21:58,400 optimistic about it, and I have to acknowledge that. 436 00:21:58,559 - > 00:21:59,759 And Strata Institute. 437 00:22:00,240 - > 00:22:03,920 Saying that this is going to increase entry-level hiring 438 00:22:03,920 - > 00:22:06,000 three to one instead of decreasing it. 439 00:22:06,240 - > 00:22:08,079 Well, let's hope they're right. 440 00:22:08,319 - > 00:22:10,559 And let's hope I'm wrong. 441 00:22:10,799 - > 00:22:12,079 But we're all going to see. 442 00:22:12,240 - > 00:22:14,160 So please pay attention to it. 443 00:22:14,400 - > 00:22:16,960 And um, you know, it's not it's not going away. 444 00:22:17,119 - > 00:22:19,279 That we all I'm sure agree on. 445 00:22:19,440 - > 00:22:20,880 So that is it for today. 446 00:22:20,960 - > 00:22:24,079 I will say goodbye for now, and I will look really hard between 447 00:22:24,079 - > 00:22:27,519 now and next Friday to find some really optimistic news and 448 00:22:27,519 - > 00:22:29,519 positivity in the job market to talk about. 449 00:22:29,680 - > 00:22:32,240 But in the meantime, have a safe, great Memorial Day 450 00:22:32,240 - > 00:22:32,559 weekend. 451 00:22:32,640 - > 00:22:33,279 We'll talk soon.

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