Articles

  • 1 week ago | aei.org | Nicholas Eberstadt |Brent Orrell |Josh Boynton |James Pethokoukis

    Post Workforce Participation for Older Americans: Warning Lights Flashing Post AI “Slop” Comes for Job Interviews Post Powering AI: The Energy Workforce Crisis No One Is Talking About Post Pushback Against an Emerging Robot Revolution Post Why Are Business Organizations Withdrawing from DEI? Multimedia Society of Professional Economists—Econ Thoughts: Interview with Nicholas Eberstadt Article Why Populist Economics Is Bad: Trade Protectionism Edition Article Some Anti-Progress Lessons from...

  • 1 week ago | aei.org | Brent Orrell |David Hernandez

    Three years ago, the Biden administration, backed by big bipartisan majorities in Congress, launched the CHIPS and Science Act to revitalize domestic semiconductor manufacturing. After decades of outsourcing that reduced the U.S. production share of advanced chips from 37 percent to 10 percent, this “industrial policy” investment was justified as necessary for national security and as a measure to reinvigorate manufacturing.

  • 1 week ago | deseret.com | Brent Orrell |Josh Boynton

    It's been a rough month for hiring plans. The market volatility ignited by President Donald Trump's tariff policies has made business planning difficult, and that includes any intentions of hiring. Combined with the accelerating adoption of artificial intelligence, disruptions to the labor market don't appear to be slowing anytime soon. Recent surveys indicate that around 25% of U.S. firms have scaled back hiring plans due to tariff-related uncertainty and rising input costs.

  • 2 weeks ago | aei.org | Brent Orrell |Josh Boynton |Stan Veuger |Ferdinando Monte

    Op-Ed Tariffs Plus AI Makes for a Rocky Job Market. How Should Workers Prepare? Report State of the Capitol Region 2025–The Capital Region Post-COVID: What Changed and What’s Next?

  • 1 month ago | aei.org | Will Rinehart |John Bailey |Brent Orrell

    Executive SummaryThe United States stands at a critical juncture in AI policy where measured, strategic governance is essential for maintaining technological leadership. Overregulation risks stifling innovation, while a fragmented state-by-state approach creates compliance burdens that disproportionately impact smaller companies. Rather than rushing new regulations, we should leverage existing legal frameworks, and implement targeted, evidence-based interventions only where clearly necessary.

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