Growing Up?

## Editorial:

Growing Up?

Dario Amodei talks about the adolescence of AI in his much quoted essay this week. But what if the real adolescence this week isn't the models - but us?

He warns that "a country of geniuses in a datacenter" may be only a few years away, while the rest of the system reacts like a teenager with a winning lottery ticket: bingeing on mega-rounds, bolting ads onto chatbots, and banning phones in schools instead of fixing the curriculum.

Amodei's essay frames this as technological adolescence: AI racing ahead while our political and social maturity lags. But when we zoom out across this week's essays, interview, and post of the week, a broader pattern emerges: capital, governance, and even our definition of work are being forced to grow up alongside the tech - and they're all at different speeds. This is normal when the speed of change is as fast as it is. Things move at differing cadences.

Start with money. OpenAI is simultaneously:

- trying to raise up to $100B at a $750B+ valuation, - flirting with another $30B from SoftBank, - and shoving intent-style ads into ChatGPT to monetize 900M mostly free users.

The post of the week argues those ads are structurally jarring: ChatGPT is a conversational, exploratory space, not classic "search mode." Yet the burn - Fast Company pegs expected spend at $115B in the next few years - demands a grown-up revenue model now. The result feels like teenage capitalism: god-scale capex, freshman-year advertising logic.

At the same time, Peter Diamandis' Universal High Income essay, derived from his recent Elon Musk interview, and the Silicon Valley's 99% Blindspot piece both ask a more adult question: what is all this for?

If AI + robotics really can push us into abundance, then the problem becomes capture and distribution, not scarcity. His MOSAIC model's "dynamic VAT on deflation" and ring-fenced AI windfall taxes are early sketches of fiscal adulthood - ways to turn today's eye-watering profits and capex into a universal high income rather than another narrow upside trade.

But this runs straight into an opposite problem - old age. Europe's "institutional aversion to risk." from the EU.VC essay shows how solvency rules, bank-centric finance, and fear of uncertainty hard-code permanent obsolescence into European capital markets. France's social-media ban for under-15s and the Visio mandate for civil servants read the same way: a protective older parent impulse, more about limiting exposure than building indigenous power.

So where does grown-up governance come from? That's where the interview of the week with Kalshi's Tarek Monsour becomes more than a curiosity. Prediction markets are, in effect, quantitative maturity: you don't sermonize about probabilities, you price them. If Amodei is right that AI risks sit in a fog of uncertainty, then liquid markets on things like "biotech misuse incidents," "AGI safety standards passed," or even "AI-driven unemployment rates" may be more honest than polls or press releases.

Kalshi's fight to stay on the right side of CFTC rules mirrors AI's own adolescence: regulators can't decide whether this is gambling or governance. But if we're serious about managing a "country of geniuses," we'll need instruments - prediction markets, event derivatives, hedging tools - that help institutions act on real probabilities instead of vibes.

Meanwhile, the Management as AI superpower essay and the Clawdbot / Moltbot story hint at what personal maturity looks like in this era. The superpower isn't better prompts; it's management: decomposing work, setting guardrails, orchestrating agentic tools. Moltbot's success - users treating it as a "persistent assistant" that owns workflows - shows how fast we're moving from toy chatbots to genuine hybrid teams.

If adolescence was everyone playing with chat, adulthood is learning to manage fleets of agents without losing the plot. Old age is refusing to play at all.

Put it together and this week's through-line is clear: powerful AI is forcing every layer to grow up at once, but on wildly different timelines.

- The tech (Amodei, Hassabis, Claude's constitution) is racing toward "country of geniuses" territory. - The money (OpenAI's mega-raises, SoftBank, Microsoft's $7.6B quarter) is in late-stage adolescence - huge risk-on bets, thin theory of distribution but bold and impressive nonetheless. - The state (France's bans, Europe's risk aversion, SEC's "make IPOs great again") oscillates between helicopter older-parent and checked-out guardian. - Individuals (agent managers, open-source builders like Clawdbot) may actually be the quickest adults in the room, learning to wield these tools pragmatically.

Looking ahead, the unresolved questions for our own "growing up" are blunt:

- Will we build fiscal and market tools - Universal High Income models, prediction markets, new IPO regimes - fast enough to share and hedge the upside of a "country of geniuses"? - Can we move from teenage monetization hacks (ads in every interface) to business models that don't undermine the very trust and usability we need from these systems? - Who learns to manage agents first - institutions, founders, or individual workers - and does that widen or narrow the gap between the 1% and the 99%?

Technological adolescence isn't going away; the scaling curves make that clear. Our only real choice is whether capital, policy, and management grow up in time to meet it - or keep reacting like teenagers to a future that's already here.

So what is the life stage of AI? I think it's still an infant—not adolescent. It's only beginning to deal with the real world—data and constraints; it's still highly dependent on humans for goals, context, and judgment. Even "agentic" systems—Moltbot, Clawd, and the rest—still struggle to be reliably proactive and independent without creating new kinds of mistakes.

Old-man France is, of course, equally challenged to live in the real world for the opposite reason: fear.

AI will reach adolescence—and even adulthood—eventually. If that's true, UHI will be required, so Peter Diamandis is right to try to frame a plausible approach.

In that light, Dario Amodei is worth reading—but not swallowing whole. He's writing from a dual role: a concerned citizen and a frontier vendor. That gives him genuine insight, but also incentives. We can read him, but we shouldn't digest his narrative uncritically.

The real story this week isn't AI adolescence—it's institutions and capital reacting to an AI infancy as if it were already grown.