Louis initiatives 6% development whereas hiring stays flat… right here’s the dynamic behind it… new information on the Ok-shaped financial system… how Luke Lango is positioning for jobless development
The financial system is rising…so the place are all the roles?
Final Wednesday’s jobs report didn’t supply a solution, however it did seem to deliver some encouraging information…
Employers added 130,000 jobs in January, beating expectations. That helped push the unemployment price right down to 4.3%.
This was a welcome counter to the troubling revisions to final 12 months’s job development.
As I highlighted right here within the Digest, the Bureau of Labor Statistics’ (BLS) up to date numbers revealed the U.S. had almost 900,000 fewer jobs than beforehand reported throughout its 12-month “benchmark” window in 2025. Individually, the BLS up to date its numbers for the complete calendar 12 months 2025. What initially seemed like 584,000 jobs created turned out to be simply 181,000.
In sensible phrases, that’s barely a heartbeat for an financial system the dimensions of the U.S.
In the meantime, in accordance with outplacement agency Challenger, Grey & Christmas, January’s company job-cut bulletins totaled 108,435 – up 118% from a 12 months in the past and the best January whole since 2009.
And hiring plans? They fell to their lowest January degree on document.
So, sure, January’s jobs numbers confirmed enchancment. However 2025’s hiring was anemic, and corporations stay cautious about increasing headcount.
Which brings us again to our query…
If companies didn’t rent as many individuals final 12 months as we thought, how did the financial system nonetheless develop? And what’s behind strong forecasts for GDP in 2026?
The financial system is increasing – however the supply of that development is shifting
The Atlanta Fed’s GDPNow mannequin at the moment estimates This fall 2025 development at 3.7%. That’s strong efficiency for a mature financial system.
Higher nonetheless, legendary investor Louis Navellier believes this quantity underestimates what’s coming. In his February Breakthrough Stocks concern, Louis initiatives the U.S. might hit 6% GDP development in 2026, pushed by three highly effective tailwinds.
Right here’s Louis:
First, the U.S. is experiencing productiveness enhancements from AI.
Second, the information middle increase and the AI Revolution each persist.
And third, there’s an estimated $20 trillion of onshoring from the information middle, semiconductor, pharmaceutical and automotive industries.
All of which ought to proceed to spice up financial development.
Now, whereas 6% GDP could be implausible, it could symbolize a disconnect that we should deal with…
There’s a large hole between U.S. GDP at 6% and Wednesday’s jobs report exhibiting 130,000 new jobs – to not point out final 12 months’s anemic 181,000 whole job development.
To grasp the dimensions of this inconsistency, Goldman Sachs Analysis and its Chief Economist, Jan Hatzius, analyzed what job development we’d sometimes count on from a 6% GDP enlargement.
Utilizing Okun’s Legislation – which measures the connection between GDP development and the unemployment price – they discovered {that a} U.S. financial system rising at a 6% annual clip would traditionally generate roughly 460,000 jobs monthly.
That’s two-and-a-half occasions the quantity we acquired final week.
And once more, final week’s quantity was magnitudes higher than the revised month-to-month figures from 2025.
So, immediately’s job development numbers are nowhere in the identical galaxy as what 6% GDP would historically produce.
How will we reconcile this?
Easy. One thing elementary has modified in how development is being generated.
Financial output is rising with out corresponding will increase in labor demand. Firms are reaching productiveness features not by hiring extra employees, however by deploying extra refined know-how.
I’ve been writing about this dynamic ceaselessly in current Digests as a result of it represents one of the impactful storylines that may have an effect on your wealth, and doubtlessly your job, within the subsequent three to 5 years.
Our know-how professional Luke Lango has been monitoring it too, and he’s developed a framework for understanding what’s taking place – and extra importantly, what it means for traders.
“The best deflationary power in human historical past”
Luke describes the present second because the collision of two highly effective financial forces.
On one aspect, AI represents what he calls “the last word cost-cutter”:
When an organization can change a $120,000-a-year mid-level supervisor with a $20-a-month subscription to an AI Agent, they don’t give it some thought. They only do it. It’s their fiduciary obligation.
This collapses wages and labor demand by means of “Technological Deflation.”
Current information assist Luke’s thesis.
A December 2025 analysis report from Microsoft titled “AI Publicity of Occupations” analyzed the vulnerability of assorted job classes to AI automation. It discovered that roughly 5 million white-collar positions face excessive AI publicity, together with administration analysts, customer support representatives, and gross sales engineers. These aren’t entry-level roles. They symbolize core middle-class employment.
In the meantime, Goldman Sachs analysis discovered that generative AI might automate duties equal to 300 million full-time jobs globally. Within the U.S. alone, roughly two-thirds of present occupations are uncovered to a point of AI automation, with as much as one-quarter of all work doubtlessly being absolutely automated.
These numbers counsel a broad restructuring is on the way in which – however not one with out historic parallels…
Luke compares the present local weather to an period throughout Britain’s Industrial Revolution that economists name the “Engels’ Pause,” named after Friedrich Engels, who documented it:
Between 1790 and 1840, Nice Britain’s GDP development price exploded from 0.2% to three.2% yearly…
Company income doubled, rising by over 20% from the late 18th to the mid-Nineteenth century.
However right here’s what Engels famous: whereas the Industrial Revolution was making Britain extremely wealthy, most Brits noticed their lives get a lot worse, not higher.
For the common employee, actual wages remained flat or fell for 50 years. Staff’ share of the nationwide earnings dropped from 50% to 45%, whilst whole wealth soared…
The wealth did finally trickle down… and the Industrial Revolution did finally result in extra jobs… half a century later.
Luke believes we’re coming into a compressed, AI-driven model of this phenomenon:
The steam engine took a century to deploy. ChatGPT hit 100 million customers in two months.
We’re compressing 50 years of displacement right into a single decade.
This compression creates a paradox. The financial system can develop robustly – pushed by AI-enhanced productiveness – whereas a rising variety of employees expertise monetary pressure.
Which brings us to a CNBC article final Friday…
The information exhibiting who’s benefiting from development – and who isn’t
On Friday, CNBC reported on one thing hanging in regards to the present enlargement…
In response to the Financial institution of America Institute, whereas spending development amongst higher-income Individuals remained regular between January 2025 and January 2026, it slowed considerably for lower- and middle-income households throughout the identical interval.
That is the Ok-shaped financial system my fellow Digest author Luis Hernandez and I’ve been writing about ceaselessly – the place the higher spoke (these with belongings) sees their wealth rise whereas the decrease spoke (these counting on wages) struggles with stagnant or declining buying energy.
David Tinsley, senior economist on the Financial institution of America Institute, mentioned that this “Ok” divergence is “starting to look extra just like the jaws of a crocodile.”
The article goes on to focus on a projection from the Nationwide Basis for Credit score Counseling that monetary stress will attain an all-time excessive in Q1 2026.
Worse, their information reveals one thing notably noteworthy: the stress is “creeping up the earnings and age ranks,” now affecting middle-income shoppers of their mid-40s-to-60s who traditionally maintained monetary stability.
So, this brings us again to the central paradox: GDP development projections of 5% to six%…alongside document shopper monetary stress.
This isn’t a short lived imbalance that may self-correct. It displays a structural characteristic of how wealth is created and distributed in an AI-enhanced financial system.
Cue the political responses…
Coverage adjustments are coming – however they gained’t alter the funding calculus
Washington is starting to grapple with these dynamics.
In current Digests, I’ve been monitoring state-level legislative proposals concentrating on funding wealth and high-income earnings. However now, a distinct strategy is gaining traction…
Taxing the businesses doing the automating.
Senate Democrats lately printed a report projecting that AI and automation might displace almost 100 million U.S. jobs over the following decade. Their proposed resolution is a “robotic tax” that might tremendous firms for changing employees with AI, utilizing the income to help displaced employees.
The intention is comprehensible. However as Purpose.com analyzed, the strategy faces critical challenges.
First, all international locations face a “prisoner’s dilemma” scenario whereby in the event that they fail to pursue AI aggressively, they threat falling behind the international locations that do. So, loads of worldwide rivals are unlikely to undertake related taxes. Relatively, they’ll deploy AI aggressively, gaining value benefits.
American corporations going through automation penalties could lose market share – after which be pressured to chop jobs anyway resulting from aggressive strain relatively than technological selection. Politicians will solely tolerate a lot of that dynamic earlier than they’re pressured to rethink.
However extra essentially, even when robotic taxes are enacted, they gained’t alter the financial/funding actuality: AI-driven productiveness features will nonetheless accrue to the proprietor/investor class – even when they’re taxed.
And this raises a crucial query for anybody constructing long-term wealth…
In an financial system the place development comes from know-how relatively than labor enlargement, how do you place your portfolio?
As I’ve been highlighting right here within the Digest, AI allows firms to increase output with out proportionally increasing headcount.
Productiveness rises, prices decline, margins enhance – usually with flat or declining workforce ranges.
Now, from a societal perspective, this creates respectable questions on earnings distribution and long-term demand. In spite of everything, if fewer employees take part in productiveness features (and thereby have disposable earnings), who in the end buys the merchandise?
However from a portfolio perspective, the implications are extra simple…
If productiveness features accrue to homeowners/traders relatively than to labor, then wealth accumulation requires a place on the capital aspect of that equation.
Right here’s Luke making this actual level:
The one strategy to win is to affix the capital class.
This requires a elementary shift in how you concentrate on cash. You can not save your approach out of a forex devaluation spiral. It’s essential to take into consideration “proudly owning the machine.”
If AI is stealing jobs, you have to personal AI firms.
If tech giants are capturing GDP, you have to personal their fairness.
And if the grid powers every part, you have to personal the infrastructure.
Luke identifies three tiers of alternative.
First, infrastructure…
AI requires huge computing energy, superior semiconductors, and unprecedented vitality assets. Firms like Nvidia (NVDA), AMD (AMD), and Taiwan Semiconductor (TSM) aren’t elective elements. They’re important infrastructure for your entire AI buildout.
Second, Luke flags what he calls “the sovereigns”…
Assume Microsoft (MSFT), Alphabet (GOOGL), Meta (META), and Amazon (AMZN). These firms function with R&D budgets exceeding NASA’s. They management platforms, information, and buyer relationships at scale. In an AI-driven financial system, they’re positioned to seize worth from nearly each digital interplay.
Third, there are the “brokers”…
These are firms constructing AI software program that instantly replaces high-value skilled work. This carries the next threat however provides potential for uneven returns as sure classes of labor get essentially restructured.
Luke has been working along with his analysis staff on figuring out firms positioned to learn as authorities capital flows into strategic AI infrastructure – what he calls the “President’s Market” dynamic, the place President Trump’s coverage priorities are creating funding tailwinds.
You can check out Luke’s research on these AI investment opportunities right here.
As we wrap up, let me add some perspective
None of this means we face an imminent disaster or labor market collapse.
However let’s be candid – we’re within the early levels of a structural financial shift the place productiveness more and more originates from know-how relatively than expanded human employment.
Whereas bumpy societally, this shift will create monumental funding alternatives. In spite of everything, the wealth generated by AI productiveness will stream someplace – to the proprietor/investor class of the businesses behind this AI revolution.
We’re starting that transition immediately. Recognizing this – and positioning accordingly – can have a large impression in your long-term wealth creation.
We’ll proceed monitoring each the financial dynamics and funding implications right here within the Digest.
Have night,
Jeff Remsburg
