Tony Pipa (@anthonypipa) 's Twitter Profile
Tony Pipa

@anthonypipa

Cntr Sustainable Devp @BrookingsGlobal. Former: Elysburg PA, fdns in US South, @USAID, @StateDept. Helped birth #SDGs. City diplomacy. Rural policy. Reimagine.

ID: 1392398196

linkhttps://www.brookings.edu/experts/anthony-f-pipa/ calendar_today30-04-2013 16:06:44

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Tony Pipa (@anthonypipa) 's Twitter Profile Photo

Lots of polarizing stuff this week, so if you want respite this weekend, watch my & Brent Orrell’s convo #OnTheFrontPorch w Benji Backer American Conservation Coalition & Michelle Moore Groundswell as they seek common ground on clean energy in rural American Enterprise Institute Brookings Global ctse.aei.org/on-the-front-p


Tony Pipa (@anthonypipa) 's Twitter Profile Photo

U.S. farmers did $2.1 billion of business w/USAID in 2020: current freeze & impending shutdown putting lots of communities in rural America at risk washingtonpost.com/politics/2025/


Tony Pipa (@anthonypipa) 's Twitter Profile Photo

Excellent piece by Lucia Hamner & Barb Hendrie, int'l devp pros w/experience at orgs such as World Bank USAID UN Environment Programme, highlighting why it's more difficult than it needs to be for rural towns in the US to access federal $$ (esp now) + why it's impt brookings.edu/articles/inves


Mark Muro (@markmuro1) 's Twitter Profile Photo

Zooming out the AI impact variations flatten out a bit. Overall, AI exposure labels vary modestly from 35% in the nation's 821 urban counties to 30% in its 1,053 counties brookings.edu/articles/the-g
 Tony Pipa Michael J. Hicks

Zooming out the AI impact variations flatten out a bit. Overall, AI exposure labels vary modestly from 35% in the nation's 821 urban counties to 30% in its 1,053 counties
brookings.edu/articles/the-g

<a href="/anthonypipa/">Tony Pipa</a>  <a href="/HicksCBER/">Michael J. Hicks</a>
Tony Pipa (@anthonypipa) 's Twitter Profile Photo

Highly recommend this analysis by Brookings Metro colleagues Mark Muro Molly Kinder Shriya Methkupally about the geographic distribution of jobs most exposed to AI - white collar jobs are most in the sights, and rural places generally rank lower


Mark Muro (@markmuro1) 's Twitter Profile Photo

Thanks Tony Pipa. Would say everybody faces layered issues. --Urban office economies will benefit from #GenAI as a productivity driver but also may see more worker disruption. -Smaller-town and rural places may be insulated from disruption but could miss out on gains

Brookings Global (@brookingsglobal) 's Twitter Profile Photo

The Rural Energy for America Program (REAP) has supported over 25,000 projects and reached every state in the U.S. And it primarily benefits Republican congressional districts, Tony Pipa and Adam Aley find in their latest analysis: brookings.edu/articles/the-r


The Rural Energy for America Program (REAP) has supported over 25,000 projects and reached every state in the U.S.

And it primarily benefits Republican congressional districts, <a href="/anthonypipa/">Tony Pipa</a> and Adam Aley find in their latest analysis: brookings.edu/articles/the-r

Andrew Donaldson (@four4thefire) 's Twitter Profile Photo

A debate that will be spreading, but this particular one is Davis, WV a rural success story that now has a questions of what it wants to be, and if they'll have any say in it. westvirginiawatch.com/2025/05/28/it-