8 Great AI Business Applications That Probably Won’t Be Around Two Years From Now

In 2007, the introduction of the iPhone sparked a wave of mobile apps. When OpenAI introduced ChatGPT 3.5 to the public in 2022, the same thing happened: an increase in applications, applications and applications that use generative AI to accomplish certain business tasks.

Many of the mobile apps from the iPhone’s early days are no longer around. It will also look like today’s AI tools. That’s because these things usually take one of four ways.

There are so many things, very few will go into something big and become a real platform. Think Slack or WhatsApp or Square, which started as a small mobile app and took off. Some AI tools will be bought from big tech companies and added to their offerings. Other large software companies will simply write their own AI software that replaces existing ones. These little apps will stick around but will return to the shadows as niche apps with a small fanbase.

You can argue with me. But ultimately 99% of the AI ​​applications you hear about today won’t be around in a few years. It’s not that they’re bad. It’s just Darwinism. Here are eight examples.

Otter

This is a great app that uses AI to analyze meetings, transcribe conversations, summarize conversations and create actions. Does anyone doubt that Microsoft Teams, Zoom or any other popular platform will offer the same features? Many have done or are rolling out these plans. Why get Otter when your existing meeting software already offers this service?

Who created the profile picture

There are many AI apps that promise to take a standard photo of any schlub like me and turn them into Brad Pitt (or at least a better version of themselves). It sounds impossible – especially in my situation – but it happens. I am pointing to Profile Pic Maker because it is one of the best. But c’mon – like this won’t be built into the next camera app on your device? Of course it will.

Add eight

This is another great AI platform that can extract long videos from YouTube and compile them, saving the user time watching. So why isn’t YouTube doing this? Maybe it’s because the more people watch a video, the more ads they watch, which is a negative thing. Until YouTube will make part of the paid offer or YouTube TV. Sorry, but I don’t see this kind of technology as a long-term game by itself. Perhaps as a niche survivor.

Xembly

I love this app. It uses an AI assistant to organize meetings, navigate conflicts and create agendas. Among other powerful features, the platform allows users to do this simply by chatting with him or sending messages through Slack and finding time on everyone’s calendar. There is no doubt that this is a problem that needs to be solved and Xembly is doing a great job of solving it. Until Microsoft, Google, Slack and all other customer relationship management (CRM) and software providers build this on their own platforms – or buy Xemly.

Rask

This application converts videos into 130+ languages ​​in a matter of minutes. Very good. Will YouTube offer this feature? Hmm… 130 languages ​​plus viewers in other countries equals football and…ka-ching…more advertising dollars. He seems like a no brainer. Or alternatively, will a major video production platform – say Adobe – do the same? Of course they will. Despite this, this can still survive as a niche product for videographers who favor production software that doesn’t offer this functionality out of the box.

Lavender

Because I’m in CRM world I play around Lavender and it’s fun. The software will “coach” you to write better emails. It will mark the emails you write and provide improvements and personalized suggestions. “Become an email expert!” a promising company. “Upgrade your team! Make email magic happen!” As if Salesforce, Zoho, and every other CRM player wouldn’t do the same? It’s only for a short time.

AskJack

Do you want to create a great language style for all your company documents and files? This way you can train your LLM so that your employees can ask him anything about your policies, procedures and rules and get accurate and consistent results. That’s what AskJack will do and this can involve human resources, operations, help desk, customer service and legal departments. But wait… both Microsoft and Google have already done this by creating an LLM from corporate email, calendar, OneDrive and Google Drive. In every two years Office or Workspace user will have one service provided by AskJack.

SpeedLegal

This is a special LLM for contracts. AI software bills itself as a “negotiation partner” for both lawyers and non-lawyers that will help identify risks, explain legal issues, make tailored plans and provide insights other than any legal document or contract you allow it to review. Assuming that the output is reliable (I admit that it is not tested) I wonder how long someone will use this tool? Shouldn’t something like this be included in a law firm platform like Clio or Smokeball or made available to consumers through the big players like LegalZoom and LegalShield? Perhaps so.

Agreed? Don’t agree? To be clear, these are great apps and I respect the people who created them. I think some app developers don’t want to be the next Snapchat – they do what they do to create new technology and make a little money short and good for them. But for the rest, I hope they have a good exit plan. Because things in the AI ​​world are moving so fast that most won’t last on their own for long.