The Agents Are Coming: AI’s New Species, Oil Lines in the Sand, and Liquidity’s Put
ForwardGuidanceBW
March 25, 2026

The Agents Are Coming: AI’s New Species, Oil Lines in the Sand, and Liquidity’s Put

Overview

AI is converging with energy, geopolitics, and market structure in a way that reframes macro from the ground up. The thesis: superintelligence is here in nascent form, the global race will consume everything around it, energy becomes the strategic constraint, and the policy toolkit is shifting from central bank balance sheets to the banking system. Crypto sits directly in the flow of this transformation — not as a sidecar, but as the transactional substrate for a world of autonomous agents.

“This is the most powerful technology we will ever invent and the last one we as humans will ever invent of any scale.”
“There are only two countries in the race… it’s the US and China… and it’s going to consume everything and everything will align around it.”

AI: The Race That Consumes Everything 🤖

  • From AGI to ‘new species’: The combination of advanced AI with general-purpose humanoid robots reframes the labor and productivity frontier. “When you put something that’s physically more able… and put an AGI brain in, what the [__] is that? That’s a new species.”
  • Two-player endgame: Despite complex supply chains and component dependencies, the contest consolidates into two primary actors: the US and China. The likely trajectory is intensive competition without outright conflict, with each securing its “horizontal.”
  • Energy as the hard constraint: Data centers gravitate to nuclear plus gas, while oil remains essential for legacy systems. China’s solar buildout went hyper-vertical — producing more solar last year than all of the rest of the world’s existing stock combined — a signal of how rapidly capacity must scale.
“We’re like four years into this… as we move from AGI towards ASI, you’re going to consume planetary-style amounts of energy.”

Oil, Geopolitics, and the Business Cycle 🛢️

  • Lines in the sand: Around $100 crude brings headwinds; $150 a barrel turns risk into regime shift.
  • Rate-of-change trigger: Historically, when oil’s YoY rate of change hits 100%, recession risk spikes. The current view: “I don’t think recessions are possible anymore” — but a huge slowdown remains likely if oil and rates lurch higher together.
  • Why 2022 was different: That shock stacked pandemic reopening frictions, energy stress, and food supply disruption atop each other. Today’s configuration lacks several of those overlapping pressures.
  • Diplomacy and the oil premium: A path to reduced sanctions and reintegration (Venezuela-style) would likely lower oil over time and stabilize the Middle East premium.

Liquidity, Collateral, and the New Policy Playbook 🏦

“Liquidity trumps everything.”
  • Collateral is the keystone: If key risk assets crater — e.g., the S&P falls >25% — policymakers move to restore liquidity. The logic discovered in 2008 still holds: expanding liquidity raises collateral values by lowering the denominator.
  • The ‘put’ is explicit: “In a very indebted world, the best way is avoid the huge collapse by debasing currency 8% a year. It’s like a put option we all pay for the system not to implode.”
  • Less QE, more banks: The preference now is to run liquidity through commercial banks — not just central bank balance sheets — so funding flows into the real economy via lending. ESLR adjustments are designed to enable this re-leveraging.
  • Japan as the template: A steeper curve to catalyze bank lending after 30 years of dormancy — signaling a synchronized shift toward bank-led credit creation to finance the automation/robotics arc.

Software, Adoption, and the Liquidity Lens

  • Don’t confuse flows with fundamentals: The software selloff rhymed with Bitcoin’s chart. The explanation offered: shrinking US liquidity (and gold absorbing flows) rather than immediate AI-driven disruption of SaaS.
  • Adoption gap is real: Power users see step-change capability, but many outside the bubble remain on free, outdated models. “Microsoft Copilot… is awful and nobody uses.”
  • Productivity shock still ahead: Enterprise-scale replacement of core systems is hard; wholesale DIY substitution is unlikely near-term. The larger impact arrives as tools mature and permeate workflows.

Crypto’s Positioning: The Agents Are Coming 🚀

“I woke up one morning, I thought, [__] the TAM of everything has gone to infinity.”
  • From ‘institutions are coming’ to ‘agents are coming’: Today’s internet serves roughly six billion users out of eight and a half billion humans. The next wave layers in potentially eight and a half billion AI agents transacting continuously via micro-payments — a step-change in addressable throughput.
  • Not just stablecoins: Agents will need sub-1 cent granularity, tapping multiple tokens across chains (e.g., Ethereum, Solana, Sui) and routing compute via specialized networks — then running treasuries natively on DeFi rails.
  • Asset management gets atomized: Multi-pod hedge fund models can be reimagined as networks of tokenized individuals or agent “pods,” with the mothership — capital allocation, compliance, ops — compressed into algorithms.
  • Capital formation is instantaneous: Memecoins already prototyped frictionless issuance: “instantaneous capital formation.”
  • Data becomes a tokenized market: “All data is going to be converted into a token… packets of information that are movable, transferable.” Vast, largely invisible agent-to-agent data markets emerge, making digital ID and trust foundational.

Abundance, Work, and What Stays Human

  • Labor transition meets demographics: The displacement vector is cushioned by retirements: 76 million boomers equates to “76 million robots we can have” without reducing service levels.
  • The attention economy as human currency: In a world where services drift toward zero marginal cost, attention — with love at the apex — becomes the defining human resource.
  • Experience retains premium value: Sports, travel, and in-person events outperform because they are irreducibly human. “Taylor Swift’s concert tour was so big that three central banks mentioned the Taylor Swift effect.”
  • Chess as a tell: No human has beaten top engines in 35 years, yet chess is bigger than ever — a clean proof that human vs. human competition sustains value even after machine supremacy.
  • Culture and nature as offsets: Digital art captures the culture of the internet through this epochal shift; time in nature counterbalances the acceleration.

Longevity, Health, and the Merge

  • Human + machine: From wearables to AI-integrated diagnostics and genomics, the trajectory points to tighter integration.
  • Life expectancy step-change: Over the next 20 years, it may become normal to see lifespans reach 120–130. The goal is not just more years, but healthier ones.
  • Optimization vs. living: The philosophical anchor: “The experience of living is not being alive.” Extreme optimization — perfect 8 hours nightly, bed at 7:00, zero risk — is not the endgame; lived experience is.

Market Signals and Watchlist

  • Energy thresholds: Crude around $100 is manageable; escalation toward $150 is a clear regime risk.
  • Rate of change: Monitor oil’s 100% YoY threshold — historically associated with recessions, albeit with a current view leaning toward slowdown vs. contraction.
  • Volatility stress: Episodes where the MOVE Index goes above 100 remain key tells for rapid policy pivots or de-escalation attempts.
  • Policy plumbing: Track ESLR changes and bank balance sheet capacity; expect preference for bank-led credit creation over heavy central bank balance sheet expansion.
  • Japan’s template: A steeper curve to restart lending after 30 years is a forward indicator for bank-led financing of automation and robotics elsewhere.
  • Crypto rails: Expect acceleration in stable and volatile-token rails, agent treasuries on DeFi, and emergence of tokenized data marketplaces. Digital ID becomes essential.

Memorable Lines

“When you put… an AGI brain in, what the [__] is that? That’s a new species.”
“It’s a race that will never stop… and it’s going to consume everything and everything will align around it.”
“Liquidity trumps everything… [debasement of] 8% a year is a put option we all pay for the system not to implode.”
“The agents are coming and they’re coming in gigantic size.”
“All data becomes a token.”

The through-line is clear: AI is forcing a rewiring of the energy system, the liquidity regime, and the market’s transactional fabric. The opportunity set expands where human attention, trust, and identity anchor value — even as autonomous agents begin to transact at global scale.

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