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From Tokenization to Tensions: Markets Spin as Reality Bites and Rare Earths Rule
MacroMashup Newsletter

From Tokenization to Tensions: Markets Spin as Reality Bites and Rare Earths Rule

The themes that drive your portfolio

Jul 4, 2025
Neil Winward

Author:

Neil Winward

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Founder and CEO

of

Dakota Ridge Capital

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    From Tokenization to Tensions: Markets Spin as Reality Bites and Rare Earths Rule
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    Robinhood’s European foray into tokenized private shares isn’t just a shiny fintech experiment—it’s the beginning of a global structural shift. The firm launched tokenized stocks, including access to pre-IPO giants like SpaceX and OpenAI, for European investors only. U.S. users? Still on the outside looking in.

    How Tokenization Works

    1. Custody: Real-world shares are held by a regulated custodian—each token is backed 1:1.
    2. Token Creation: Assets are minted on blockchain platforms like Ethereum or Arbitrum.
    3. Smart Contracts: These automate ownership, dividend payments, compliance, and even trading logic.
    4. Access: Investors use digital wallets. Instant settlement, 24/7 trading, and fractional ownership are standard.
    5. Secondary Markets: Tokenized assets trade more fluidly than traditional ones, especially off-market hours.

    Why It Matters

    • Democratization, for real: Retail investors get access to pre-IPO equity, long the domain of VC elites.
    • Structural Risk: Tokens might deviate from the value of the underlying asset. Governance is still evolving.
    • Robinhood’s Blockchain Bet: Their vision? Make crypto and tokenized equities as seamless as plumbing.
    • Regulatory Arbitrage: Europe’s friendlier sandbox enabled the move. Robinhood’s CEO is now openly lobbying the SEC to catch up.

    The Bill Formerly Known as OBBB

    The Bill Formerly Known as OBBB

    In a move that only Washington could stage-manage, the “One Big Beautiful Bill” was stripped of its name under budget reconciliation rules—thanks to the Byrd Rule. It now lives on as simply “the act.”

    • Schumer’s Challenge: The name was struck down on procedural grounds.
    • Drama Ensued: Schumer dubbed it “the big ugly betrayal.” Republicans countered with tax-cut talking points.
    • Energy Provisions Softened: While Trump loyalists attacked the bill’s climate credits, many of them stayed—albeit weakened.
    • Distraction or Strategy? Trump and Elon traded barbs again, stealing headlines and perhaps masking the fiscal implications.
    • The House voted for no amendments and chose simply to accept or reject the Senate-passed version. Hakeem Jeffries decided to extend his “magic minute” to over 8 hours, solidifying GOP votes in the process.
    • By a margin of 218-214 in the House, Trump will get his way and sign the legislation on Independence Day.

    Data vs. Narrative: The Summer’s Economic Rorschach Test

    The numbers are messy—and investors are spinning stories faster than the Fed can issue statements.

    • GDP shrank in Q1 (-0.5%), but consumer spending surprised (+1.2%).
    • Inflation cooled, but wage growth won’t budge.
    • Volatility spiked, then disappeared.
    • Non-Farm Payrolls were stronger than expected: 147,000 added and unemployment slightly lower. Prior months revised up. Slams the door on a July rate cut.
    • Narratives diverge: Analysts can now pick a data point to support almost any position.

    This isn’t just noise—it’s a signal: the old macro playbook doesn’t work anymore. Recession, reflation, soft landing? Choose your own adventure.

    Rare Earths = Rare Security

    Rare Earths = Rare Security

    China just re-tightened export controls on rare earths. The message: when it comes to critical inputs, Beijing still holds the cards.

    • 75%+ of U.S. defense platforms rely on rare earths sourced from China.
    • Temporary truce: A new trade deal briefly softens the blow, but the underlying dependency remains.
    • Inflation tailwinds ahead: Scarcity ripples through semiconductors, EVs, and defense supply chains.

    The next arms race may be fought not with tanks, but with cobalt contracts and lithium chokepoints.

    The AI Cliff: Where Entry-Level Jobs Go to Die

    The AI Cliff

    AI isn’t just changing jobs—it’s deleting the bottom rung of the career ladder.

    • 78,000 tech jobs lost to AI this year.
    • 40% of firms admit they’re using AI to replace—not just augment—workers.
    • Implication: Gen Z enters a workforce with no entry-level buffer. On-the-job training is being skipped.
    Losing that first rung costs more than confidence. Studies show a six-month delay can slash lifetime earnings by $20,000 or more.

    Firms like KPMG are trying to adapt—automating grunt work and assigning more complex tasks earlier. But the broader system isn’t keeping pace.

    From Financial Nihilism to Meme-Driven Politics

    When you can’t buy a home, can’t get a job, and can’t trust the market—the only thing left is to meme.

    • Home prices are 7.5x median income—worse than 2008.
    • Student debt + inflation + AI anxiety = financial nihilism.
    • New outlets: Speculation via meme stocks, sports betting, and crypto.

    This isn’t irrational—it’s desperation. Platforms make risk frictionless; volatility is a feature.

    The Rise of Meme-ocracy: Zohran Mamdani’s Viral Win

    The Rise of Meme-ocracy

    New York’s mayoral primary just delivered a signal to the establishment: traditional power structures are no match for meme momentum.

    • Mamdani defeated Andrew Cuomo without big donors or institutional support.
    • Campaign playbook: TikTok, memes, creator collabs, and policy populism.
    • Platform: Free transit, rent freezes, city-owned grocery chains.

    For many under 40, Mamdani didn’t just win—he validated their view that politics, like investing, now runs on virality. Attention won, but he won’t deliver. Watch for the backlash when that happens.

    MacroMashup Playbook

    1. Don’t ignore tokenization. It’s not just fintech—it’s a parallel market architecture.
    2. Rare earths = inflation vector. Own supply-chain hedges.
    3. Watch the jobs ladder. Entry-level erosion is a long-term risk to consumption and trust.
    4. Gen Z isn’t checked out—they’re checking out of your system. That has investment and policy consequences.

    In The Markets

    Maret Snapshot
    • S&P 500 to all-time-high.
    • Precious metals remain robust.
    • BTC pushes higher.
    • Treasuries weaken as rate cuts fade with stronger jobs data.
    • July has seen strong stock market performance ⅔ of the time in the last 30 years.

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      Neil Winward

      Neil Winward is the founding partner of Dakota Ridge Captial, helping investors, developers, banks, non-profits, and family offices unlock massive tax savings - on average of 7%- 10% - via clean energy investments by fully leveraging U.S. government incentives such the Inflation Reduction Act.

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      The Queue: Where AI’s Grid Constraint Gets Real
      MacroMashup Newsletter
      3

      The Queue: Where AI’s Grid Constraint Gets Real

      Neil Winward

      This week’s MacroMashup deep dive examines one of the least discussed datasets in macro markets: The US interconnection queue. More than 2,300 gigawatts of power generation are currently waiting to connect to the grid.

      MacroMashup Research Summary

      Core Thesis

      Markets are obsessed with AI chips.

      But the real constraint may be electricity.

      The US interconnection queue has become the chokepoint of American electricity expansion. Roughly 2,300 gigawatts of generation capacity are currently waiting to connect to a grid that operates at about 1,200 gigawatts today.

      Why It Matters

      AI infrastructure, electrification, and energy transition all depend on grid access. Interconnection delays now stretch three to six years in several regions, creating the first major bottleneck in the next wave of electricity demand.

      Key Data

      • 2,300 GW waiting in US interconnection queues. These projects include solar, wind, battery storage, natural gas, and other generation technologies.

      • Only ~13% of projects entering the queue ultimately complete

      • Median wait times approaching five years in several regions

      • Demand pressure ratios exceeding 5× in ERCOT

      Market Signals

      The queue is becoming a leading indicator for:

      • electricity price pressure

      • utility capex cycles

      • natural gas demand

      • regional AI infrastructure migration

      AI models scale at software speed.

      Electricity infrastructure expands at infrastructure speed.

      The Signal

      This Week’s Dashboard

      It’s all about the barrel.

      Oil dominated nearly every signal this week. Brent crude rallied from roughly $82 to $88, while WTI followed closely, settling near $85. The Strait of Hormuz remains the transmission mechanism: tanker transits have collapsed from roughly 24 per day to single digits since the conflict began, and every headline about the Strait is now moving assets across the macro dashboard.

      Gold was caught in the crossfire. When oil spikes, the dollar typically strengthens on safe-haven flows and higher yields raise the opportunity cost of holding non-yielding assets. Gold sold off from its late-February highs before stabilizing this week as the dollar softened again. Central bank buying remains the structural floor, but in the short term the dollar and the 10-year yield are driving the tape.

      The information war intensified as well. President Trump posted that the conflict was “very complete, pretty much.” Netanyahu responded with a new wave of strikes on Tehran. Iran apologized to the UAE after collateral damage from retaliatory drone strikes — and then continued launching them.

      At one point the White House deleted a social media post claiming the US Navy had escorted a tanker through the Strait of Hormuz after confirming no such escort had occurred. Oil briefly dropped on the headline before rebounding.

      Meanwhile the IEA proposed the largest strategic petroleum reserve release in its history. Pipeline alternatives are suddenly receiving attention, and the market is attempting to price the difference between a four-week war and a four-month one — a distinction worth tens of dollars per barrel.

      Equities barely reacted. The S&P finished the week essentially flat at ~6,781. Credit spreads widened modestly but remain far from pricing sustained economic damage.

      Either the market is right.

      Or it hasn’t caught up yet.

      But the most important constraint shaping the next phase of this cycle may not be geopolitical.

      It may be structural.

      Because the next phase of the global economy will run on electricity.

      The Real Constraint Behind the AI Boom

      Last week we introduced the idea that AI’s real constraint may not be software.

      It may be electricity.

      This intersection between AI infrastructure and electricity systems is becoming one of the most important macro stories of the next decade.

      are launching AI Grid Report, a new research publication focused on the intersection of AI infrastructure, electricity systems, and energy markets.

      The first issues will examine how the global AI buildout could reshape electricity demand, natural gas markets, and power infrastructure investment.

      If you’re interested in how the power grid may shape the next phase of the AI economy, you can preview the project here:

      https://open.substack.com/pub/theaigridreport

      The first issues will be launching soon.

      🔒 Deep Dive for Members

      Read More
      From Hormuz to the Grid: The Chokepoints That Matter
      MacroMashup Newsletter
      3

      From Hormuz to the Grid: The Chokepoints That Matter

      Neil Winward

      Markets are modeling AI disruption at software speed. But electricity infrastructure may determine how fast the real economy can absorb it.

      Welcome to MacroMashup. We focus on constraints, not forecasts. Market structure, not vibes. Capital flows, leverage, and incentives—where things actually break.

      The week’s dominant story is geopolitical.

      U.S.–Israeli strikes on Iran. Retaliation spreading across the region. The Strait of Hormuz effectively closed. Markets scrambling to price the energy shock.

      But beneath the geopolitical noise, another question is taking shape as Anthropic and OpenAI wrestle with the Department of War over the role AI will play.

      The question is not whether AI can transform the economy and the battlefield—it already has— but how fast.

      Because AI runs on compute. And compute runs on power.

      The constraint shaping the next phase of the AI cycle may not be technological progress.

      It may be the infrastructure required to supply electricity fast enough.

      In this week’s MacroMashup deep dive, we examine:

      • why AI adoption may move at infrastructure speed rather than software speed

      • how grid constraints could shape the timeline of economic disruption

      • why energy infrastructure may become the leverage point of the AI economy

      A look at this week’s dashboard tells the story of which chokepoint is throttling harder.

      If you want to understand the structural constraints shaping global markets, join the MacroMashup community.

      Subscribe for weekly briefings examining the forces behind the next economic cycle.

      Read More
      When the Price Mechanism Breaks: What the Simon–Ehrlich Bet Gets Wrong About AI
      MacroMashup Newsletter
      3

      When the Price Mechanism Breaks: What the Simon–Ehrlich Bet Gets Wrong About AI

      Neil Winward

      Why capital misprices time-based energy constraints in the age of exponential compute.

      In 1980, Julian Simon made one of the most famous bets in economic history.

      He bet that human ingenuity would defeat scarcity.

      Paul Ehrlich bet the opposite.

      Simon won.

      Commodity prices fell.

      Technology advanced.

      Supply responded.

      The lesson became doctrine:

      When prices rise, markets fix shortages.

      That belief now underpins trillions of dollars in capital allocation.

      It also underpins the AI boom.

      But here’s the question investors are not asking:

      What happens when prices can’t fix the bottleneck?

      This week, we’re not debating AI.

      We’re not debating energy transition.

      We’re not debating scarcity narratives.

      We’re examining something deeper:

      When does the price mechanism stop working — and what does that mean for portfolio construction?

      Inside this issue:

      • Where Simon still works
      • Where the mechanism slows
      • Where it structurally fails
      • And how to allocate when constraint becomes time-based, not price-based

      Because in 2026, the edge is not identifying demand.

      It’s identifying where capital hits physical delay.

      Continue reading for the full allocator framework.

      Read More
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