Prof G Markets: Winners and Losers Under Trump’s Second Term
Follow Prof G Markets:
Scott and Ed open the show by discussing the end of the Boeing machinist workers strike, Perplexity’s offer to help the New York Times, and Palantir’s earnings. Then Scott and Ed break down the sectors that they expect will see the biggest gains and losses under the Trump administration. They also discuss which regulators will survive the Trump administration and explain what the market is telling us about the future of housing prices.
Check out Prof G Markets in Spanish and Portuguese on Youtube.
Order "The Algebra of Wealth," out now
Subscribe to No Mercy / No Malice
Follow the podcast across socials @profgpod:
Follow Scott on Instagram
Learn more about your ad choices. Visit podcastchoices.com/adchoices
More description
Follow Prof G Markets:
Scott and Ed open the show by discussing the end of the Boeing machinist workers strike, Perplexity’s offer to help the New York Times, and Palantir’s earnings. Then Scott and Ed break down the sectors that they expect will see the biggest gains and losses under the Trump administration. They also discuss which regulators will survive the Trump administration and explain what the market is telling us about the future of housing prices.
Check out Prof G Markets in Spanish and Portuguese on Youtube.
Order "The Algebra of Wealth," out now
Subscribe to No Mercy / No Malice
Follow the podcast across socials @profgpod:
Follow Scott on Instagram
Learn more about your ad choices. Visit podcastchoices.com/adchoices
Listen elsewhere
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.