While generative video gets the hype, producer Tim McLear finds AI's most practical use is automating tedious post-production tasks like data management and metadata logging. This frees up researchers and editors to focus on higher-value creative work, like finding more archival material, rather than being bogged down by manual data entry.
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The evolution of 'agentic AI' extends beyond content generation to automating the connective tissue of business operations. Its future value is in initiating workflows that span departments, such as kickstarting creative briefs for marketing, creating product backlogs from feedback, and generating service tickets, streamlining operational handoffs.
Gemini 3 can intelligently segment long-form video by identifying ideal clips for specific platforms and purposes, like a "spicy take for LinkedIn." It provides exact start/end times, dramatically accelerating the social media content creation workflow for repurposing content.
Don't view generative AI video as just a way to make traditional films more efficiently. Ben Horowitz sees it as a fundamentally new creative medium, much like movies were to theater. It enables entirely new forms of storytelling by making visuals that once required massive budgets accessible to anyone.
The "generative" label on AI is misleading. Its true power for daily knowledge work lies not in creating artifacts, but in its superhuman ability to read, comprehend, and synthesize vast amounts of information—a far more frequent and fundamental task than writing.
To overcome AI's tendency for generic descriptions of archival images, Tim McLear's scripts first extract embedded metadata (location, date). This data is then included in the prompt, acting as a "source of truth" that guides the AI to produce specific, verifiable outputs instead of just guessing based on visual content.
The common fear of AI eliminating jobs is misguided. In practice, AI automates specific, often administrative, tasks within a role. This allows human workers to offload minutiae and focus on uniquely human skills like relationship building and strategic thinking, ultimately increasing their leverage and value.
Rather than just replacing jobs, AI is fostering the emergence of new, specialized roles. The "Content Automation Strategist," for example, is a position that merges creative oversight with the technical skill to use AI for scaling content production and personalization effectively.
By handling repetitive production work, AI gives designers bandwidth to focus on high-impact, creative problems. This includes innovating on previously overlooked details like loading states, which have new importance in AI-driven products for building user trust.
Leverage AI to analyze your year's worth of data to quickly identify top-performing content. AI can then go a step further by summarizing these top pieces or extracting key takeaways, creating new derivative content from your existing assets with minimal manual effort.
When AI automates a core task like content writing, don't eliminate the role. Instead, reframe it to leverage human judgment. A "content writer" can be transformed into a "content curator" who guides, edits, and validates AI-generated output. This shifts the focus from replacement to augmentation.
