The predictions are wrong*
Introducing a level-headed set of three-year forecasts on work, life, and business.
A friend asked me a few weeks ago what I thought the next three years would look like. He’s a founder, mid-forties, building something he cares about, and he wanted a real answer, not a hot take. Just somebody he trusts saying, here’s what I think is coming.
So I told him what I’m seeing. And he said, “Why don’t people talk about this?”
So I am.
A brief caveat before I do: nobody knows what the next three years will look like. I want to say that at the top because most of what’s getting published right now skips that step, and the skip is doing a lot of damage. The future is genuinely uncertain. The honest version of any read on it includes “I could be wrong about this,” and the people writing in this space who don’t include that line are, I think, doing a thing that’s more about confidence than clarity.
That said, I do think you and I, if we look at what’s underneath the headlines, can get pretty close. Closer than most. It’s not because we’re smarter. It’s because we’re willing to look at the parts of the data that aren’t being put on the front page, and we’re willing to think about this stuff for longer than a news cycle.
So that’s what this series is. Four pieces, one a week for the next four Thursdays, on what I think is most likely to happen between now and Q2 2029. It’s not a forecast in the “bet on this” sense. It’s a read. A careful one. With receipts where I have them and honest, transparent uncertainty where I don’t.
Two stories on offer, both probably wrong
The two loudest versions of the future right now are pretty far apart.
One says we’re months away from something that looks like a singularity. AI cures disease, replaces work, ends scarcity. The people writing this aren’t making it up. The pace of capability growth is real and the optimism comes from somewhere honest. I just don’t see the leap from “the models are getting impressive” to “abundance is a year away” actually showing up in the data.
The other says we’re months away from something that looks like collapse. Mass unemployment, hollowed middle class, real social rupture. The people writing this are also not making it up. The structural displacement signals are real and the dread comes from somewhere honest too. I just don’t see the leap from “the labor market is freezing” to “civilization breaks” showing up in the data either.
I’m not going to spend this series arguing with either camp. I think highly of people in both, and I believe they’re seeing real things. I think both are taking what’s loudest in the present and projecting it forward in a straight line, and that’s a pretty reliable way to get the next three years wrong. Most people are smart enough to know that. They’re just not seeing a third option that feels honest.
So that’s what I want to give you. A third option that feels honest.
What I think’s actually happening
Let me say what I see.
The hiring engine has stopped, not slowed. The JOLTS hires rate, which is the rate at which the U.S. economy is actually hiring people, is at 3.1 percent. That’s the floor of the Great Recession and the floor of the COVID lockdowns at the same time. Unemployment looks fine because the pipe is closed at both ends. Companies aren’t hiring, and people aren’t quitting because they don’t believe a better job is on the other side. The numbers in the headlines look normal. The numbers underneath don’t.
At the same time, AI infrastructure is being built at a scale that’s hard to grasp. Hyperscaler AI capital expenditure went from about $256 billion in 2024 to a projected $750 billion in 2026. Microsoft, Google, Amazon, Meta, Oracle. That’s not a feature investment. It’s the kind of money you spend when you’re betting that the work running on top of the infrastructure is about to look very different. They’ve made the bet. The receipts are in their 10-Ks.
And the human signal underneath both of those numbers is loud. Mercer’s 2026 talent report has employee thriving down twenty-two points in two years. AI anxiety is up twelve. Stanford’s data on workers ages 22 to 26 in AI-exposed jobs has them down twenty percent on employment. Something is happening to people. It’s already showing up in their mood, their bodies, their trust in institutions. It just isn’t showing up yet in the headline unemployment rate.
Three things, all pointing the same direction. The hiring freeze, the substrate buildout, and the human signal. They’re not opinions. These are numbers anyone can look up.
What I think comes next
Here’s the part I want to under-claim, because the whole point of this is honest reading.
I don’t think we get a singularity (yet). I don’t think we get collapse. I think we get something quieter and stranger and, in some ways, harder to talk about because it doesn’t fit either headline.
I think the job, as a 150-year-old container that bundles income, identity, time-structure, belonging, and benefits, starts coming apart for a chunk of the cognitive middle class over the next three years. Not for everyone. Jobs hold up fine for people who are AI-complementary, where the wage premium is already 56 percent and rising. Jobs hold up fine for the trades, because AI can’t fix your sink. But for the cognitive middle, the people whose work is mostly typing, mostly producing documents, mostly meetings, the container starts to hollow. The work changes shape. A lot of the work routes into freelance, fractional, micro-firm, and small consulting arrangements. By 2029 the freelance count is on track to clear ninety million Americans, which is roughly half of the workforce.
That’s not a textbook collapse. It’s more of a reorganization. And honestly, for a lot of people, it’s already happening. The fractional CMO. The solo consultant with a niche and a Substack. The friend who got laid off and “is figuring out what’s next” and is somehow also doing pretty well. These aren’t anomalies. They’re the leading edge.
The reason this isn’t on the front page is that the aggregate statistics were built for a labor market that doesn’t fully exist anymore. Unemployment can stay around four percent while the cognitive middle leaves the W-2 quietly, one Substack subscription and one fractional engagement at a time. The country can look fine on paper while the shape of work is changing underneath. In some ways, that’s what’s making this transition feel weird. The data on the screen doesn’t match the feeling in the room.
It’s going to be a lot of change. Some of it’s hard. Some of it, for the right people, is genuinely good news. The five things that travel through this transition, the things that hold their value or actually go up in value, are mostly old human capacities. Discernment. Judgment. Taste. Empathy. Relational skill. Most of the people reading this already have them, often in surplus, and have been told for a while that what really matters is technical skill and credentials. The data says the opposite. The premium on the human stuff is going up.
What would change my mind
This is the part I rarely see anyone include, so I want to.
If the JOLTS hires rate climbs back above 3.8 percent for two quarters, the freeze was cyclical and I’m wrong. If hyperscaler capex reverses below $400 billion in 2027, the substrate slows and I’m wrong. If the 22-to-26 cohort employment recovers above minus five percent, the entry pipeline is repairing itself and I’m wrong about how durable this is. If a federal portable-benefits law passes for 1099 cognitive workers, governance moves and the read changes.
None of those is on track right now. All of them are watch items. Two of them firing within twelve months would meaningfully shift what I think.
I want to be wrong-able about this, because the alternative is the kind of confident prediction that’s been making the rest of this conversation exhausting to read.
What’s coming over the next four weeks
Each Thursday for the next four weeks, I’ll publish one piece in this series.
Week one: the job is the container, not the work. The W-2 job is hollowing. The actual work is leaving the container faster than the container is being remade. We’ve seen this shape before. The factory hollowed the household. The spreadsheet hollowed the clerk. Containers persist; contents migrate. This piece is the diagnosis.
Week two: something is being built on top of this. The substrate. $750 billion in capex is a big enough number that it’s worth slowing down and looking at what it’s actually buying. The benchmarks are public. The capability is getting real fast. The earnings calls have started saying “digital labor” out loud, which is a verbal admission worth paying attention to.
Week three: what you already have that survives this. The five attributes that travel. Most of the people reading this are already carrying them. The math on the experience premium is empirical. The takeaway is more hopeful than people are expecting and more specific than the usual upskilling advice.
Week four: how to stand in this. What a working professional, founder, investor, or leader actually does with this read. No five-step plans here. This is a fundamental posture. The posture is the part that matters.
The honest version of all this
I think it’s all going to be okay. I want to say that clearly because I don’t see anyone saying it cleanly.
Not okay in the sense of nothing-changes-everything’s-fine. Okay in the sense of: we’re going through something real, the change is fast, it’s going to feel disorienting for a while, and the people reading this are mostly the people who can come through it well if they see what’s coming and start moving with it instead of against it.
There’s a lot to be honestly worried about. There are people whose lives are getting harder, in measurable ways, because the structural changes are happening faster than the institutions that used to catch them can adapt. That’s real. That’s worth taking seriously. None of this read pretends otherwise.
And. The people reading this Substack are mostly thoughtful, mostly curious, mostly already a little ahead of the consensus. The part I want to keep alive over these next few weeks is that the things that make you good at moving through something like this are mostly things you already have. The transition asks you to trust them more, and to trust the credentials and the comfort of the old container less. Most of the work is a small reorientation, done early, before the reorientation gets forced.
That’s what I want this series to be. A small reorientation, done early. With the receipts I have, the uncertainty I have, and an open invitation to push back if you see it differently. (I’ll keep updating this read as the data moves; subscribe if you want first looks at how it holds or breaks.)
More than anything, I want you to know this:
It’s all going to be okay. Maybe a lot better than okay.
If you’ve been reading for a while, you know that I do more than think about the future. I use what I’ve learned over decades to examine the structure of the systems our world operates on and how those systems change. These analyses focus on macro trends like markets and workforce, specific cuts like sector analyses, and more narrowly focused portfolio and company projections. I identify thresholds and decision points for investors and company leaders that cut the fog and show what’s most likely to happen, and when. You can dig into some of these projections at josephlogan.com. For clear projections on your company or portfolio, contact me directly.



Thanks Joseph.
The dangerous phase may not be mass layoffs. It’s the silent evaporation where 'work' disappears upstream while institutions still think the system is stable.
Most systems react after signal collapse right?
SHシFT asks what changes when intent becomes explicit before optimisation even begins.