LINKEDIN: How to go VIRAL
Entertainment
Introduction
In a recent episode of the podcast "Memes and Machines," we delved into the phenomenon of going viral on LinkedIn and the implications of AI in the creative industry. As the discussion unfolded, we explored the recent surge in video engagement on LinkedIn, speculated on the platform’s algorithm changes, and considered how AI is reshaping the landscape of content creation, especially in photography.
Going Viral on LinkedIn
In just two weeks, I noticed a significant uptick in my video engagement on LinkedIn. Posts that traditionally would generate about 10,000 impressions recently soared to as high as 5.5 million. This surge prompted speculation regarding LinkedIn's algorithm and their pivot towards video content—a notable departure from their historically text-heavy platform.
LinkedIn has rolled out a vertical video feed, akin to TikTok's “For You Page,” which fundamentally shifts user engagement patterns. It appears that the algorithm is favoring video content, providing brands, businesses, and content creators an opportunity to reach a wider audience.
Although some users may find themselves grappling with the new feed dynamics, this phase presents an advantageous window for those who engage in video posting. As more creators learn to navigate this new landscape, we believe it's essential to produce engaging content that resonates with audiences.
The AI Influence on Photography
The discussion then transitioned to the impacts of AI across various industries, with a notable emphasis on photography. The potential for the industry to evolve towards AI-generated imagery means that traditional photography methods may become less prevalent. One entrepreneurial perspective outlined a future where photo shoots could be entirely AI-driven or hybrid, using real-life models or influencers sparingly, as budgets permit.
This shift raises the question of how much humans and real-world experiences will factor into future marketing campaigns. The growing legality around the likeness of individuals means brands must tread carefully, remaining aware of the evolving legal frameworks as they navigate their content strategies.
Moreover, AI can offer substantial improvements in cost-efficiency and speed, enabling businesses to create campaigns without needing extensive resources or travel logistics. For those who have relied on traditional photography, the landscape is changing, leading to a potential material shift in both accessibility and quality.
Conclusion
As the world becomes increasingly digitized and AI-infused, the creative sectors must adapt. While traditional forms of photography and marketing won't disappear overnight, they will undoubtedly be complemented—and possibly overshadowed—by AI-driven capabilities. Content creators, marketers, and businesses must navigate this evolving paradigm if they wish to thrive in the future landscape of digital engagement.
Keywords
- Viral
- Video Content
- Algorithm
- Engagement
- AI
- Photography
- Creative Industry
FAQ
Q: How can I go viral on LinkedIn?
A: To enhance your chances of going viral on LinkedIn, focus on posting engaging video content that aligns with the platform's evolving algorithm, which currently favors video engagement.
Q: What changes have been implemented in LinkedIn’s algorithm?
A: LinkedIn has introduced a vertical video feed that provides an immersive viewing experience, possibly influencing reach and engagement for video posts.
Q: How is AI affecting the photography industry?
A: AI is transforming photography by enabling AI-generated imagery, which can reduce costs and speed up the production process, potentially diminishing the prevalence of traditional photography.
Q: Will traditional photography become obsolete due to AI?
A: While traditional photography will likely remain relevant, it may be less emphasized in marketing. Brands are beginning to adopt AI-generated photos for efficiency and cost-effectiveness.
Q: What legal considerations come with using AI-generated images?
A: Brands must be cautious regarding the legal implications of using individuals' likenesses, and ensure compliance with evolving laws around AI content.