Entering the Fall 2026 | Vibes vs. Vintages: Why the Data and People Disagree

Simplify Asset Management • 2 days ago

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What This Video Is About

The panel discussion focuses on the topic of "vibes and vintages," exploring the disconnect between hard data and sentiment data in the economy. The discussion features three distinguished guests: Cameron Dawson, Chief Investment Officer at New Edge Wealth; Anna Wong, US Economist at Bloomberg; and Danielle DiMartino Booth, Founder, CEO, and Chief Strategist at Quill Intelligence.

Major Ideas Discussed

  • The panelists note that while official aggregate data suggests the economy is reasonable, sentiment data and everyday conversations describe a different economy, raising the question of whether financial markets should price backward-looking macro data or forward-looking consumer sentiment data.
  • Cameron Dawson argues that economic data is more reliable than sentiment data, citing the post-pandemic period as an example where following consumer sentiment data would have been wrong.
  • Anna Wong argues that there are hidden signals in non-farm payrolls and inflation data that can provide forward-looking insights, citing the example of 2024 where labor market data was revised down by over a million jobs.
  • Danielle DiMartino Booth discusses the importance of alternative data sources and the need to find real-time data to make informed decisions, noting that the Fed has a task force focused on alternative data.
  • The panelists discuss the Bloomberg Price Project, which aims to rebuild the CPI using bottom-up prices, and identify some archaic methodological practices in the BLS's measurement of inflation.
  • Cameron Dawson discusses the concept of concentration in the economy, where a handful of securities dominate the S&P 500, and notes that the wealth effect is very concentrated.
  • The panelists discuss the sustainability of the AI trade, with Anna Wong noting that the backlogs for AI-related sectors are still long, but identifying two potential catalysts that could disrupt the AI trade: politicians in Washington DC and the tightening of financial conditions.

What to Watch Next

The panelists suggest monitoring the Fed's use of alternative data, the development of real-time data sources, and the potential disruptors to the AI trade, such as politicians in Washington DC and the tightening of financial conditions.