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In this fireside chat with Warrior Rising, a nonprofit empowering veterans in business, Gary Vaynerchuk delivers a comprehensive masterclass on modern social media strategy and digital marketing. He emphasizes that businesses serious about growth must embrace all platforms rather than cherry-picking, explaining that social media has become the "foundation and pipes of modern communication." (02:35) Gary discusses the critical shift from guessing with paid advertising to only amplifying content that performs organically, the transformative power of AI tools like ChatGPT for eliminating knowledge barriers, and his prediction that we're transitioning from social media to "interest media" where algorithm-driven content discovery creates unprecedented opportunities for new creators. (42:40)
Gary Vaynerchuk is a serial entrepreneur and CEO of VaynerMedia, a $350 million marketing agency with 3,500 employees. With over 11 million followers on Instagram and 6 million on LinkedIn, he's one of the most followed business personalities globally. He's also the author of multiple business books including "Day Trading Attention" and has built a reputation as a leading voice in digital marketing, social media strategy, and entrepreneurship over the past two decades.
Gary emphasizes that businesses serious about building an empire cannot afford to limit themselves to one or two social media platforms. (00:39) He argues that while you don't technically need social media to build a business, it represents "ludicrously easy" opportunity with massive upside potential for those who understand it. The key insight is that entrepreneurs often use personal preferences or political opinions as excuses to avoid the hard work of mastering these platforms. For ambitious professionals, this means developing competency across LinkedIn, Instagram, TikTok, YouTube Shorts, and other relevant platforms rather than making excuses about complexity or personal comfort.
LinkedIn currently offers unprecedented opportunity for B2B businesses, operating like "Facebook did in 2015" with more attention available than content to fill it. (03:53) Gary recommends posting organically on LinkedIn daily, then amplifying successful posts with paid advertising. This represents a fundamental shift from the old approach of A/B testing paid content to only spending media dollars on creative that has already proven organic interest. The platform's algorithm favors authentic, value-driven content, making it essential for SaaS businesses and B2B professionals to establish a consistent presence.
The advent of AI tools like ChatGPT has permanently eliminated "I don't know how" as a valid business excuse. (05:21) Gary demonstrates how anyone can ask ChatGPT for specific guidance on marketing strategies, platform best practices, or advertising approaches and receive actionable answers. This democratization of knowledge means that every entrepreneur now has access to expert-level guidance for free. Rather than spending time on excuses, professionals should leverage AI to rapidly acquire new skills and overcome knowledge gaps that previously required expensive consultants or extensive research.
The social media landscape has fundamentally shifted from follower-based distribution to interest-driven algorithms. (43:00) Gary explains that someone with zero followers can now potentially reach more people than established influencers if their content aligns with what algorithms detect as engaging. This "interest media" environment means content is distributed based on relevance and engagement rather than follower count. For businesses, this creates unprecedented meritocracy where quality content can achieve massive reach regardless of existing audience size, making it crucial to focus on creating genuinely valuable content rather than just building follower counts.
The era of guessing with paid advertising is over. Gary advocates for a new approach: create organic content, identify what resonates naturally with audiences, then amplify only the winning content with paid media. (04:18) This strategy leverages platform algorithms as free market research, allowing AI systems to identify audience interest before investing advertising dollars. The old model of extensive A/B testing with paid campaigns has become inefficient compared to letting organic performance guide media spend decisions. This approach reduces risk while maximizing the impact of advertising investments.