When a company issues a 100-year bond, it isn’t just raising capital; it is making a statement.
Last week, Alphabet sold a £1 billion 100-year sterling bond at a 6.125% coupon as part of a broader multi-currency debt raise totalling roughly $20 billion. Demand for the bond was nearly ten times oversubscribed.
On the surface, it signals confidence. Beneath that, it raises a harder question: are markets underwriting durable AI cash flows or simply pushing today’s capital risks far into the future?
Alphabet is not alone; we have the likes of Amazon, Microsoft, Meta Platforms, and Oracle tapping into markets for substantial funding. These hyperscalers have collectively tapped debt markets for well over $100 billion as data-centre and AI compute spending accelerates.
This is not incremental capex. It is infrastructure on a historic scale for GPUs, power capacity, fibre, cooling, and sovereign cloud replication.
Why debt? Because equity dilution at these valuations would be expensive, while debt locks in funding at still-attractive spreads.
However, leverage changes the psychology of investment. Returns must materialise; unlike equity returns, bond coupons are contractual.
The narrative is simple: AI will transform productivity and monetisation across search, cloud, enterprise software, and advertising. The financial reality is more complex: the returns on $185 billion of capital expenditure must exceed the cost of capital.
Century bonds are rare for a reason. Forecasting cash flows five years out is difficult, but forecasting them to 2126 borders on philosophical (or madness).
History offers perspective in this area. For example, since 1990, dozens of U.S. corporates have issued 100-year debt. Fewer than half (17 out of 38) of those issuers remain publicly traded today. Technological disruption compresses corporate lifespans; the average tenure in the S&P 500 has fallen dramatically over decades.
Even former giants like Motorola, which issued a century bond in 1997, saw their competitive dominance erode within a decade. Bondholders may continue to receive coupons, but equity investors absorbed the structural decline.
The issue is not that Alphabet will vanish, but more so that technology leadership rarely compounds in straight lines for a century. Entire platforms are displaced in 15-year cycles, and AI itself could reshape the competitive landscape in ways that are currently unknowable.
A 100-year corporate promise in a sector defined by exponential disruption deserves scrutiny.
The real risk lies not in default, but in capital efficiency.
AI infrastructure has a shorter useful life than traditional industrial assets, with chips evolving in 18-24 month cycles. Data centres risk overcapacity if demand projections prove overly optimistic, and depreciation schedules may not account for technological obsolescence.
If returns disappoint, the risk is not insolvency. It is erosion.
· Margin compression
· Asset write-downs
· Deteriorating return on invested capital
· Reduced financial flexibility in future cycles
Debt amplifies these consequences, and because bondholders hold a senior position, equity absorbs the volatility of misallocated capital.
Investors today are underwriting not just Alphabet’s balance sheet strength, but its ability to reinvent itself repeatedly while carrying long-duration liabilities. That is a powerful (and potentially risky) assumption.
Credit spreads remain historically tight, with institutional investors, particularly pension funds and insurers, hungry for long-duration assets to match liabilities. For many, a sterling-denominated century bond from a high-grade issuer fills that need.
Oversubscription reflects demand mechanics as much as conviction.
Yet late-cycle markets often blur confidence with complacency. When companies can issue 100-year debt at scale to fund a single thematic arms race, it suggests abundant liquidity and strong narrative momentum.
That does not make it wrong, but it does make it cyclical.
The key question is not whether Alphabet survives 100 years. It is whether incremental AI capital generates durable, superior returns before the next technological shift resets the playing field.
Investors should focus on:
· Return on invested capital versus rising capex intensity
· Free cash flow coverage relative to expanding debt stacks
· Evidence of pricing power in AI-driven services
· Competitive durability in cloud and advertising markets
If AI spending translates into structurally higher margins and defensible market share, this bond will look visionary. If not… this century bond may be remembered less as foresight and more as a marker of peak enthusiasm in a debt-fuelled AI cycle.
The future may belong to artificial intelligence, but capital markets have a long memory and can be very unforgiving.
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