Edward Conard

Top Ten New York Times Bestselling Author

  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “Unintended Consequences should be read by anyone who takes for granted the superiority of progressive taxation and has not thought carefully about the trade-offs involved.” - The New Republic
  • “Unintended Consequences is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
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Continued Rise in Business Formation

AI Summary. High-value business formation is rising faster than low-growth applications, as AI tools reduce the cost and complexity of starting a company.

Torsten Sløk Apollo
Date Posted:
April 17, 2026
Is Database:
Database

New business applications are ~ back at their pandemic-era level. Sløk argues the increase is “likely driven by the proliferation of AI-enabled startups, as large language models dramatically lower the barriers to entrepreneurship.”

How is AI driving the growth of high-value business formation?

Breaking down business applications into value and growth companies reveals a widening divergence, likely driven by the proliferation of AI-enabled startups, as large language models dramatically lower the barriers to entrepreneurship.

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  • US Business Dynamism
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Previous articleApril 16, 2026Pentagon Approaches Automakers, Manufacturers to Boost Weapons ProductionThe Pentagon is in talks with several firms, including GE Aerospace, GM, and Ford, about repurposing existing manufacturing capacity to increase production of munitions.Next articleApril 17, 2026A Q&A on Our Economic Forecasts Amid the Evolving War with IranIn response to the war, GS no longer forecasts that the “transition from tariff drag in 2025 to a tax cut boost in 2026” will raise growth above potential as the drag from higher oil prices offsets the stimulative effect of tax cuts.
Showing 1 database article primarily about US Business Dynamism

Solopreneurs, Solow, and the SaaSpocalypse

AI Summary. New business formations are rising sharply, but applications likely to create payroll jobs remain flat, indicating growth is concentrated among solo founders rather than employer firms. Historical technology transitions show productivity gains can lag adoption by decades, so the absence of near-term AI productivity acceleration in aggregate data does not

Ernie Tedeschi Stripe Economics
Date Posted:
May 20, 2026
Is Database:
Database

Tedeschi points to a split in new US business formation: overall applications are rising, but filings from firms likely to hire employees have stalled. He argues AI may be fueling “solopreneur” activity by making it easier to launch without staff.

Are new businesses creating jobs or just replacing employment?

Core argument: SaaS sector lost ~$1tn in market value over 30 days in early 2026, yet Stripe payment volumes from top 100.

For three decades after Thomas Edison began delivering commercial electricity to New York customers in 1882, inflation-adjusted output per worker grew at just 0.5% annually—a sluggish pace relative to what electricity would eventually enable. The gains became evident only as the economy's capital stock and organizational practices adapted to the new technology: new factories designed around electric motors from the ground up, rather than retrofitted from steam. Some of the impetus for this replatforming came from the weapons production spurred by World War I. In the decade after 1917, productivity growth more than doubled its prior three-decade average. The implication for AI is that a near-term absence of productivity acceleration in the aggregate data should not be read as evidence that no acceleration is coming.

Takeaways by Macro Roundup® AI

  1. SaaS sector lost ~$1tn in market value over 30 days in early 2026, yet Stripe payment volumes from top 100.
  2. Solopreneurs, Solow, and the SaaSpocalypse.
  3. Census Bureau data shows total applications rising while employer applications remain flat, creating a notable divergence.

Related Articles:

  • Sectors Embracing AI Are Seeing a Surge in New Business Formation — Sectors with the highest AI adoption rates have seen the strongest growth in new business formation since 2022, as AI lowers the barriers to starting a company.
  • Attention (And Money) Is All You Need: Why Universities Are Struggling to Keep AI Talent — In 2001, 48% of AI researchers were in industry; by 2019—two years after the landmark transformer paper—68% were. Over this period, the compensation gap btw…
  • Which Entrepreneurs Boost Productivity? — Danish data show that the propensity to become an R&D worker or a “transformative entrepreneur” who pursues innovation is highly correlated with IQ…
  • US Business Dynamism
  • Productivity
    • Innovation/Research
    • Investment
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