Send us a text

This week, let's explore how everyday shareholders can wield surprising influence over corporate behavior. Discover the power of your single vote and learn about the impact of attending annual general meetings. 

You'll hear about real-world success stories where small shareholders sparked big changes in major companies. From leveraging social media to engage with corporations to joining forces with other shareholders, this episode is packed with actionable insights. 

Whether you're a seasoned investor or just starting out, you'll come away with a toolkit for responsible ownership and the knowledge to make your shares count for more than just dividends. Tune in to unlock the potential of your portfolio to drive positive change in the corporations that impact our planet and our people.

Links from today’s episode:

Chevron investors back proposal for more emissions cuts | Reuters May 2021

https://www.reuters.com/business/energy/chevron-shareholders-approve-proposal-cut-customer-emissions-2021-05-26/ 

ICYMI another episode you might enjoy:

Episode#51 Activist Investing (recorded before the 2024 rebranding of this show)

Connect With Genet “GG” Gimja:

Website https://www.progressivepockets.com

Twitter https://twitter.com/prgrssvpckts 

Work With Me:

Email [email protected] for brand partnerships, business inquiries, and speaking engagements.

Easy Ways to Support the Show

1. Send this episode to someone you know! Word of mouth is how podcasts grow!

2. Buy me a coffee (or a soundproof panel!) https://buymeacoffee.com/progressivepockets 

3. Leave a 5 star rating and review for the show!

//NO AI TRAINING: Any use of this podcast episode transcript or associated show notes or blog posts to “train” generative artificial intelligence (AI) technologies to generate text is expressly prohibited. This includes, without limitation, technologies that are capable of generating works in the same style or genre as this content. The author reserves all rights to license uses of this work for generative AI training and development of machine learning language models//

Support the show