
I spent this morning listening to Amy Webb deliver her 2026 Convergence Outlook at SXSW while simultaneously reorganizing my entire knowledge vault with an AI. The irony was not lost on me.
Webb has retired the word “trend.” She’s replaced it with “convergence” — the moment when multiple forces collide at system level, redistribute power, and become difficult to reverse. She mapped ten of them for 2026, grouped under three she chose to spotlight: Human Augmentation, Unlimited Labor, and Emotional Outsourcing. The scenarios she painted for 2031 were appropriately unsettling. End-stage capitalism in one corner. A contribution credit economy in the other. Choose your fighter.
It’s good work. The report backing it is thorough (download it here). Five forces — technology, economics, geopolitics, demographics, climate — each with their own core shifts, trajectories, and key uncertainties. Webb’s team at Future Today Strategy Group has done something genuinely useful: they’ve mapped the operating environment in which all of this convergence happens, or doesn’t.
But here’s what my brain kept doing while I listened.
It kept going back to the 13 points.
There’s research showing that financial anxiety alone can suppress IQ by 13 points. Not lack of education. Not poor nutrition, though that matters too. The cognitive load of worrying about money — the rent check, the co-pay, the grocery math — takes up bandwidth that would otherwise be used for planning, problem-solving, abstract thought. Thirteen points is the difference between a normal day and a fog. And it’s happening right now, at scale, in a country that’s simultaneously spending $500 billion on AI data centers.
Webb’s report documents a workforce that’s hollowing from both ends — junior workers quitting unpurposeful roles, mid-career women forced out by caregiving costs. It describes a stuck-in-place economy where only 11% of Americans moved in 2024. It names the post-reality era, where we no longer debate facts but debate what’s real. All of this is correct. All of this is well-sourced.
What the report doesn’t say — what no futures report quite says — is that these aren’t conditions waiting to be solved by convergence. They are the substrate convergence lands on. And that substrate is already fractured.
Think about Adverse Childhood Experiences. ACEs are correlated with diabetes, heart disease, depression, substance abuse, early death. A child who grows up in a household with four or more ACEs has measurably different health trajectories for the rest of their life. We know this. The CDC published the original study in 1998. Twenty-eight years later, the mechanisms that produce ACEs — poverty, instability, untreated mental illness, community violence — are not shrinking. They’re compounding, in exactly the geographically and generationally asymmetric pattern Webb’s demographic section describes.
So when Webb talks about Emotional Outsourcing — AI companions, therapeutic chatbots, systems designed to process and respond to human feeling — I don’t hear a technology convergence. I hear a tell. We are building machines to hold the emotional labor because the social systems that were supposed to hold it are gone, or were never there. The lonely teenager talking to an AI boyfriend in 2026 is not a technology adoption story. It’s a social infrastructure failure wearing a tech costume.
This is the gap I keep sitting with.
Complex adaptive systems theory tells us that emergence can’t be predicted, only recognized. The whole point of CAS is that the system-level behavior arises from local interactions that nobody designed. You can’t engineer emergence. You can only create conditions where useful patterns are more likely to survive. And you definitely can’t do it from the top of a $500 billion compute stack.
Webb called for creative destruction and agency. She quoted Schumpeter. She asked the audience to become active participants in shaping the future rather than passive recipients. During the talk she mentioned she’s a long-distance endurance athlete. I wrote that down. Not because it’s irrelevant — because it’s the whole point. Webb has time to train. She has a body that isn’t failing. She has the financial safety to think in decades. That container shapes the guidance, and the guidance is exactly what a paying audience wants to hear: enough spoken truth from someone who is visibly winning. The container matters. It always does.
I agree with the ask. But I keep wondering: active participants using what?
The 13-point-IQ-drop parent doesn’t have bandwidth for creative destruction. The mid-career woman who left the workforce because childcare costs more than her salary doesn’t have a seat at the convergence table. The communities Webb’s report describes as “strained spots spiraling downward” while resource-rich areas compound their advantages — those communities aren’t going to be shaped by whether AI inference chips are running on photonic processors or neuromorphic silicon. They’re going to be shaped by whether anyone shows up.
This is not pessimism. This is the part Amy Webb can’t put in a futures report because it doesn’t have a technology vector or a market trajectory. It’s the part that requires a different kind of intelligence than the kind we’re scaling.
Webb’s two 2031 scenarios both assume the technology arrives. The divergence between them isn’t technical. It’s social. In one scenario, concentration wins and most people become dependent consumers of systems they didn’t build and can’t see inside. In the other, contribution is valued differently — time, care, creativity counted alongside capital. The fork isn’t about what we build. It’s about who we recognize as building it.
I think the thing my brain kept reaching for, sitting in that SXSW session, is that distributed CAS understanding is the actual infrastructure problem. Not compute. Not chips. Not even explainable AI, though that’s what I work on every day. The problem is that the knowledge of how complex systems work — emergence, feedback loops, non-linear causation, the difference between complicated and complex — is concentrated in a tiny number of people. And the decisions about how to deploy convergent technologies are being made without that knowledge by people who think in linear cause-and-effect and quarterly returns.
Webb’s report is a map. A good one. But a complexity theorist might call it retrospective coherence masquerading as foresight — pattern recognition applied backward, dressed up as forward projection. A map of convergences doesn’t tell you what the ground feels like under your feet in a particular zip code, in a particular body, with a particular set of ACEs and a particular relationship to the institutions that are supposed to help.
The work isn’t prediction. It’s perseverance. It’s staying with the complexity long enough to recognize patterns instead of imposing them. It’s building systems that make it easier for the parent with the 13-point cognitive tax to access the same quality of care, information, and decision-support as the investor reading Amy Webb’s report at $10,000 a seat.
That’s not a technology problem. It’s not even an AI problem. It’s a recognition problem — who we see, what we count, and whether we’re willing to build for the ground conditions that already exist instead of the convergence we hope is coming.
Radical hope isn’t optimism. It’s the discipline of working toward something you can’t yet fully describe, in conditions that don’t yet support it. Jonathan Lear wrote about it in the context of the Crow Nation facing the end of their way of life. The relevant part isn’t that they hoped for a good outcome. It’s that they committed to the practice of living well even when the frameworks for what “well” meant were being destroyed.
That’s where we are. The frameworks are being destroyed and rebuilt simultaneously. The convergences are real. The map is useful. But the territory is human, and it’s messier, sicker, more tired, and more stuck than any futures report can hold.
The work is in the gap.


This is why certain AI bros squeal with glee at their hope AI destroys the humanities...because they believe their products will fill the gap and control what's left. Razor sharp analysis as always.
I appreciate the humanity you brought into this piece -- the Crow Nation, ACEs and a 13 point IQ drop when worrying about finances. So many voices lost to the very systems that need them in order to build better systems.