The immediate future of AI

Trending AI Keyword and Search Data

Just wanted to pull together some research and content to help people identify market gaps for potentially building AI solutions that will get users fast. I started with a quick keyword search by checking Exploding Topics.

If you aren't familiar, Exploding Topics is a company originally founded by Brian Dean (the SEO guy from Backlinko)

• AI Logo Generator (+300% growth, 368k volume)
• AI Tutor (+8300% growth, 6.6k volume)
• AI Editor (+471% growth, 33.k volume)
• AI SEO (+127% growth, 18.1k volume)
• Text to Audio AI (155% growth, 8.1k volume)
• Personalization AI (+99X growth, 1k volume)
• Rephrase AI (+313% growth, 74k volume)
• Generated photos (+80% growth, 18.1k volume)
• Reword AI (+6900% growth, 6.6k volume)

It's hard to exactly know how accurate this is data is day-to-day, but at least we can have some talking points for the article.

Industries that everyone already expects to be disrupted by 2030

Which industries do people already expect to be disrupted? This list is derived from the top-ranking articles on Google about AI disruption. I'm not going to go in-depth on these areas because there's already so much written about them. It's just good to be aware of what most people expect.

1. Healthcare
2. Customer service and experience
3. Banking, Financial Services, and Insurance (BFSI)
4. Logistics
5. Retail
6. Cybersecurity
7. Transportation
8. Marketing
9. Defense
10. Lifestyle

Unexepected Niches Ripe for Disruption

I believe the following niches are areas that people intuitively and traditionally believe are "intrinsically human," safe from AI disruption. After all, how could AI ever replace a human's creativity to make art? How could it really interact as if it were a human being? You'd be able to tell if you're talking to a bot right?

I think it makes sense to look at areas that seem impervious to AI.

1. Creative Work

One area that intrigues me, personally, is industries that focus on "creative work." I've spoken with a master's student that studied NLP, and out of all the various applications, they believe that the image and video applications of AI will be the most profound.

This HBR article on How Generative AI Could Disrupt Creative Work makes an intuitive point that creativity is "often held up as a uniquely human quality, less vulnerable to the forces of technological disruption."

Recently, many designers, filmmakers, and advertising execs have adopted image generators like DALL-E 2. It's pretty clear, as the barrier to entry for content creators lowers, you'll be seeing more and more AI-generated content (not just text but videos as well). Prepare for lots of noise and conversation about the value of "Human-made" content (like this article ;) )

I think this area is pertinent to look into right now, especially given the search terms that are rising the fastest. There seems to be some opportunity here to carve out a niche.

2. Community Building

This one might surprise some folks (it certainly surprised me!). A few months ago, I found a Product Hunt discussion about the secrets of community-building startups, and I was surprised to see how many people were talking about leveraging AI-supported bots to drive engagement for early users.

I guess I'm old school, but that shocked me because I've always really loved organic communities. I guess we should be expecting more new social and community platforms to have a bunch of bots in it (maybe Indie Hackers have some to keep conversations going in threads?). In any case, building solutions that support AI-supported community building seems like an intriguing area as well.

You can refer to the thread about community building and AI bots here

3. Trust

The Internet is already saturated with content, and AI is going to bring it up to a whole new level. It's really difficult to know what you can trust when it comes to content, product reviews, bots, etc. So I think there's a space that will emerge where solutions that aim to verify the quality and trustworthiness of content or interactions, or perhaps seek to differentiate between AI and humans may gain some traction.

Conclusion

I'm no expert, but I had fun pulling together these ideas and doing a bit of research. What do you think? What gaps in the market can be filled with AI solutions?

Definitely feel free to share your thoughts! I'd love to discuss any ideas or concepts that come up. I'm also building a hub of templates, resources, and tips for how to leverage AI & machine learning with some creators and experts - if you want free access to that, just let me know, and I can invite you.

Looking forward to hearing your thoughts about this stuff!

Happy building!