u/Kiran_c7

If someone chooses not to hire a video production team and instead uses AI to generate videos on a low starting budget, is that the right approach? Can this be successful, or is it still necessary to involve human editors in the process? Has anyone here had success with this approach, or do you still need human editors to get good results? Would love to hear real experiences or advice from people who’ve tried this.

The top 1% AI product manager in 2026 won't just use AI. They will think in the ways most PMs haven't even considered yet. 

AI tools are now widely adopted across organizations, from executives to the senior level. As a result, using tools like ChatGPT or Claude AI to draft PRDs, automate user research summaries, or assist with backlog prioritization is no longer a differentiator. The best part, for Product Managers, these capabilities have effectively become baseline expectations rather than standout skills. The real value now lies not in using AI, but in how thoughtfully and strategically it is applied to drive better product decisions, deeper insights, and meaningful outcomes that give success to a business.

So if the tools are becoming equal, what actually creates the gap?

My current thinking looks like: the top 1% will be the ones who understand AI well enough to know where it's wrong. Not just where it's useful. It confidently produces something that sounds right, but somewhere it might break. That skill, catching AI's blind spots before they ship into a product, is something most PMs lack.

The second thing is taste. AI can generate 50 feature ideas in 40 to 50 seconds. The PM who can look at those 50, and well known, which 10 are worth anything, and more importantly, explain why, is irreplaceable. AI doesn't have product taste. It has pattern matching. Maybe 10 more PMs are searching or looking for something that matches your query. Now?? So skills are also important. 

And the third thing nobody's talking about: the ability to set AI strategy at a company level. Not just using AI personally, but deciding where AI belongs in the product and where it creates more trust problems than it solves.

What are your thoughts on this? What skills are you building right now that you think will still matter in the next 2 years, when every PM has access to the same tools? Where do you find yourself as a 0.1% brainer?

Just a random thought! Usage of AI tools are on spike. What's the one that AI actually fixed for you? I want to skip the easy answers here. Creative generation, yes, AI helps. Audience suggestions, yes, AI helps. 

I want to know about the problem that was genuinely costing you money or time for months, the one you had almost accepted as a permanent cost of running Meta ads, until AI came in and actually solved it.

For me that problem was creative consistency at scale. I was running ads across 4 different product lines and maintaining a consistent brand feel across all of them while producing enough volume to test properly was exhausting. 

AI can generate 12 variations that all looked like they came from the same brand without spending 3x the production time. That specific problem, volume without visual inconsistency, was something I had tried to solve with templates, with brand guidelines, with better briefing. AI is the first thing that actually worked.

What was yours? The specific problem, not the category. The thing that was quietly costing you before AI showed up.