5 responses to “Be Happy”

1. 

   Brewer55

   May 25, 2026 at 9:02 am

   “When people have nothing left to lose, they lose it!”
   –Gerald Celente

   Reply
2. 

   Hammers Thor

   May 25, 2026 at 12:03 pm

   Digging deeper into this from BraveAI…

   Larry Fink, CEO of BlackRock, has stated that trillions of dollars from ordinary people’s savings and pension funds will be used to finance AI infrastructure, including data centers and power grids. He emphasized that long-term investors such as pension funds, 401(k)s, and insurance companies are well-positioned to benefit from stable, long-term returns tied to large technology companies building AI infrastructure.

   Fink argues that the U.S. faces critical shortages in power, computing capacity, and semiconductors, and that private capital—not just governments—must fund the massive AI build-out, as public budgets are insufficient. According to Fink, over 50% of BlackRock’s $14 trillion in assets under management come from retirement funds, and he sees investing in AI infrastructure as a “once-in-a-lifetime opportunity” for these investors.

   AI demand is growing faster than supply, creating a structural shortage, not a bubble.
   One gigawatt data centers cost $50–75 billion, and hyperscalers are increasingly partnering with investment firms.
   Fink envisions compute becoming a new asset class, with futures contracts similar to commodities.

   How does this impact individual retirement risk?
   Redirecting ordinary people’s savings and pension funds into AI infrastructure significantly alters individual retirement risk profiles by introducing concentration risk, liquidity mismatches, and exposure to unproven business models.

   Concentration and Market Risk
   By channeling retirement capital into AI data centers and power grids, individual portfolios become heavily exposed to the success of a single technological sector.

   Overexposure: Many pension funds and 401(k)s are already heavily weighted toward large technology companies. Adding direct infrastructure debt or equity stakes amplifies this concentration. If the AI boom proves to be a bubble or faces a significant correction, retirement savings could suffer disproportionate losses compared to a diversified portfolio.

   Valuation Sensitivity: The valuation of AI infrastructure relies on aggressive growth assumptions. If AI adoption slows or profitability timelines extend, the assets backing these investments could be downgraded, triggering sharp declines in fund values.

   Structural Opacity and “Stranded Assets”
   The financing mechanisms used for AI infrastructure, such as Special Purpose Vehicles (SPVs), often obscure the true level of risk from individual investors.

   Off-Balance Sheet Debt: Tech companies frequently use SPVs to move massive debt off their own balance sheets, selling it to institutional investors like pension funds. This debt is often rated as “investment grade” based on the tech giant’s creditworthiness rather than the standalone viability of the data center.
   Asset Specificity: Unlike general real estate, AI data centers are highly specialized. If the technology shifts or demand evaporates, these facilities may become “stranded assets” that are difficult to repurpose or sell, potentially leaving pension funds holding worthless collateral.

   Lock-up Periods: Infrastructure projects often involve capital locks lasting 10–20 years. If a pension fund faces a surge in withdrawal requests (e.g., during a broader economic downturn triggered by AI-related job displacement), it may struggle to liquidate these assets quickly without taking significant losses.
   Cash Flow Uncertainty: While Fink argues these assets provide stable cash flows, this depends on continuous, high-volume usage by tech tenants. Any disruption in the tech sector’s ability to pay rent or service debt directly impacts the income stream relied upon by retirees.

   The Inequality Paradox
   Larry Fink argues that individuals must invest in AI to avoid being left behind by wealth inequality, yet this strategy effectively forces savers to underwrite the very technology that threatens their employment.

   Dual Exposure: Individuals face a “double jeopardy”: their retirement savings are invested in AI infrastructure, while their labor income is potentially threatened by AI automation. A severe downturn in the AI sector could simultaneously devalue their nest egg and disrupt their ability to contribute to it.

   Systemic Risk: Regulators, including the Bank of England, have flagged the interconnection between AI firms and credit markets as a potential financial stability risk. A collapse in AI valuations could ripple through the broader financial system, endangering the safety of guaranteed retirement benefits.

   Hammers Thor: Did someone mention silver, gold, and “means of production” for investments? Anyone here old enough to remember the dot-com bubble? Anyone wonder how this actually benefits normal people?

   Or maybe normal people won’t be needed anymore.

   Reply
3. 

   LoL No

   May 25, 2026 at 4:04 pm

   Sigh…. Another asshole for “the list”.

   Reply
4. 

   Steady Steve

   May 25, 2026 at 8:05 pm

   I’ll keep my main savings in gold, silver, and metals miners.

   Reply
   1. 

      LoL No

      May 25, 2026 at 10:20 pm

      I’m stickin’ to the semi-precious. You know, brass, copper and lead.

      Reply