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Sky-High Uncertainty with Ken Rosen

41 min · I går
episode Sky-High Uncertainty with Ken Rosen cover

Description

How do you build an economic forecast when the data is completely bifurcated, geopolitics are fluid, and a $2.5 trillion technology boom is altering traditional market cycles? In this episode of the Global Rewire podcast, we sit down with Ken Rosen, Managing Director at Andersen and Chairman of the Fisher Center for Real Estate and Urban Economics at UC Berkeley. With over five decades of institutional experience, Ken explains why today’s economic landscape presents the highest level of structural uncertainty he has ever witnessed. Ken provides a multi-scenario outlook—including a mounting 20% risk of stagflation—the long-term impact of an aging demographic combined with restricted immigration, and a critical look at the massive AI infrastructure spend. Ken shares his deep skepticism regarding how the current data center buildout will actually pay for itself, drawing striking parallels to the late-1990s dot-com bubble and pointing out the hidden technology obsolescence risks currently being backed by private credit and debt.

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episode Sky-High Uncertainty with Ken Rosen artwork

Sky-High Uncertainty with Ken Rosen

How do you build an economic forecast when the data is completely bifurcated, geopolitics are fluid, and a $2.5 trillion technology boom is altering traditional market cycles? In this episode of the Global Rewire podcast, we sit down with Ken Rosen, Managing Director at Andersen and Chairman of the Fisher Center for Real Estate and Urban Economics at UC Berkeley. With over five decades of institutional experience, Ken explains why today’s economic landscape presents the highest level of structural uncertainty he has ever witnessed. Ken provides a multi-scenario outlook—including a mounting 20% risk of stagflation—the long-term impact of an aging demographic combined with restricted immigration, and a critical look at the massive AI infrastructure spend. Ken shares his deep skepticism regarding how the current data center buildout will actually pay for itself, drawing striking parallels to the late-1990s dot-com bubble and pointing out the hidden technology obsolescence risks currently being backed by private credit and debt.

Yesterday41 min