EP104: Dan Gamito: AI & The Real Social Dilemma

Perfectly Mentored with Jason Portnoy

At this point, almost everyone knows that the Internet is listening to you. Search for a product and then later, you’ll find yourself passing by a plethora of ads related to that product. Should you be scared? Or should you just let your browsing information be the price that you pay for the convenience of the Internet?

Dan Gamito is a B2B SaaS Product, Marketing, and Customer Success leader. His work for ManyChat as the first marketer on the team helped the company scale from 1200 users to more than 750,000 in less than two years. For most of the last decade, Dan has been helping early-stage startup founders build great SaaS companies.

On this episode of the Perfectly Mentored Podcast, Dan and Jason jam on what artificial intelligence is, how social network algorithms are designed, and what the future of advertising looks like.

Topics Covered:

• Who is Dan Gamito? [00:18]
• What is AI? And why do you say that the future of AI is not what most people think of? [7:11]
• When AI starts learning and it ends up knowing you better than yourself, that can make someone feel like they’re being taken over. [15:23]
• In social networks, doesn’t the content of your feed say something more about you than it does about the platform? [20:32]
• What’s your advice to users on how they can snap out of Facebook reality? [22:42]
• Should people be scared about how their data is being used online? [26:22]
• Aren’t we supposed to not care about the premises of AI and just enjoy the outcomes of it? Aren’t our lives better because of it? [31:37]
• At what point does accountability fall in humans to change their ways? [32:55]
• Can’t these platforms be used to share something good as well? [36:35]
• In paid media, does marketing still have a role or does the machine algorithm do everything? [40:10]
• Why do you say that digital marketing is cheap? [43:30]
• Considering the news of cookie-less web by 2022, what happens when data gets taken out of an algorithm? What would be the future of advertising as well? [45:16]

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