Franklin Templeton CEO pitches short-term Big Tech debt as the smarter AI bet

Everyone wants a piece of artificial intelligence. Franklin Templeton CEO Jenny Johnson thinks the best seat at the table might be the boring one: short-term debt.

Speaking at the Milken Institute Asia Summit in Singapore on October 9, 2026, Johnson argued that short-duration bonds from the largest technology companies offer an attractive way to gain exposure to the AI buildout.

Why short maturities, and why now

The companies in question are the hyperscalers. That is industry shorthand for the giant cloud operators running massive data center networks, the firms doing most of the heavy spending on AI infrastructure.

Johnson pointed to their strong cash flows and solid balance sheets as the core of the pitch. She suggested that short-dated bonds deliver a better balance of risk and reward than longer-term commitments, reasoning that technology is moving so fast that a decade-long bet carries real uncertainty.

On yields, Johnson was characteristically blunt. She described returns on two-year notes as:

“pretty dang good”

A mountain of borrowing behind the AI boom

Franklin Templeton’s research estimates that hyperscalers have issued more than $500 billion in debt in 2026 to fund their operations. AI infrastructure development has increasingly moved from being financed through equity toward being financed through debt.

Johnson also flagged the rising complexity of how these companies raise funds. Hyperscalers are increasingly using off-balance-sheet instruments and leaning on supplier financing to keep up with surging operational demands.

The productivity payoff has not arrived yet

Johnson added a sober note on AI’s broader economic impact. She said the expected productivity gains from AI have not yet shown up across traditional industries. US productivity growth is hovering around 2%, according to her remarks. She attributed much of that to the effects of earlier technologies rather than AI itself.

Part of a longer Franklin Templeton thesis

Johnson’s Singapore remarks extend a narrative Franklin Templeton has been building since early 2026 about the financing needs of AI. The firm’s fixed-income analysis has favored shorter-duration assets and money-market strategies in an environment shaped by heavy AI-related borrowing. That borrowing is anticipated to keep interest rates elevated and add to inflationary pressures, per the firm’s view.

What this means for investors

For fixed-income investors, Franklin Templeton sees short-dated debt from hyperscalers as a way to participate in the AI buildout while limiting exposure to technological obsolescence and interest rate moves. The growing use of off-balance-sheet structures and supplier financing deserves scrutiny, since it can obscure the true debt load of even very strong companies. Franklin Templeton’s thesis leans on AI borrowing keeping rates and inflation elevated; if rates fall sharply instead, investors who stayed short would face reinvestment at lower yields when their bonds mature.