Amazon's Big Bet on the NFL
Another rough week for the stock market coincides with Amazon's exclusive start to Thursday Night Football.
(0:30) Emily Flippen and Ron Gross discuss: - FedEx shares having a historically bad day amid talk of a recession - Adobe spending $20 billion for a start-up software design firm - Optimism around Starbucks after an impressive (and detailed) investor day - Twilio laying off 11% of employees - Two business leaders and their legacies
(19:45) John Ourand from the Sports Business Journal discusses Amazon's investments in NFL programming, Disney's thinking about ESPN, college football playoff expansion, and story lines for the MLB playoffs.
(35:30) Ron and Emily share two stocks on their radar: Union Pacific and Costco.
Stocks discussed on the show: FDX, ADBE, SBUX, TWLO, AMZN, DIS, AAPL, UNP, COST
Host: Chris Hill Guests: Emily Flippen, Ron Gross, John Ourand Engineer: Dan BoydGenetically edited humans are already here. Gene editing has massive implications for treating chronic illnesses and even the food we eat. So what does this mean for your investments and, y'know, possibly humanity? Ricky Mulvey talks with Motley Fool Advisor Karl Thiel about: - How CRISPR works - Some of the possibilities for CRISPR, from sickle cell cures to drought-resistant crops - How investors can approach investing in gene therapies - Biotech metrics to watch.
Companies mentioned: BLUE, CRSP, GILD, EDIT, VRTX, NTLA
Host: Ricky Mulvey Guest: Karl Theil Engineers: Tim Sparks, Dan Boyd
Learn more about your ad choices. Visit megaphone.fm/adchoices
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
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.