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Why these startup CEOs don’t think AI will replace humans


As the AI ​​industry expands in computing and usage, there is a constant debate about how AI is replacing humans in various jobs. Research shows that positions of course AI can revolutionize many jobs will be affectedeven some analysts believe it for AI to make a job again, it’s just an evolutionary change.

David Shim, CEO of notetaker conference and intelligent company Read AItold TechCrunch at Web Summit Qatar earlier this month that even with the rise of AI tools, ultimately it will be people who make the decisions, and their work will matter. He compared this skill to using a map in a car.

“I think there’s always someone in the middle,” Shim said. “I think that the work will become easier in time. But a good example would be like driving a car. When we started, you had a map. And you get out the map. And you go and say it’s good to drive. I decide what happens. Now everyone uses Waze or Google Maps, and the map tells you where to go. And you’re just following the human system.”

Shim acknowledged that AI could affect jobs, noting that marketing agencies could lose human roles in favor of electronic devices. However, he pointed out that technology platforms need services to manage the automation process.

Abdullah Asiri, founder of AI consumer support tools Lucidiahe said he believes AI will change jobs but not roles. He said that when his company’s customers use Lucidya, customer service representatives often have different roles. He said that some become managers who lead other people with AI, while others take responsibility for relationship building and business development using the time they have saved.

Read AI’s Shim noted that conference note takers freed people from the need to write notes by hand.

“No one wants to sit down and write meeting notes, but when you start to eliminate the work, you have more time to do other things that you can think about. You can send the report faster, or you can respond to the client and have more time to make better decisions, as opposed to spending a lot of time gathering all the information and having less time to make a decision,” he said.

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Internal use of AI is recruiting

As technology companies such as Read AI and Lucidya are increasingly using AI tools, they want their teams to be more sustainable. Currently, Read AI’s customer support team consists of only five people, serving millions of monthly users. Shim noted that the company is using AI tools to make the small team more productive and provide them with more information to help them do their work faster.

These companies are said to be reaping the harvest. Read AI said its sales tool helps predict performance using data from CRM systems like HubSpot and Salesforce. The founders said they have seen $200 million worth of contracts approved through the system. Shim said Read AI captures 23% more of each change, which can be used to evaluate what worked or what didn’t.

Lucidya insiders also said the company uses AI tools, including Read AI, for meetings and marketing. He added that the company wanted “great results without expansion.”

“The goal of every company is to hire people who are AI natives, who are very strong with AI, but we have to be realistic,” Asiri said. “Today, this technology is being developed. You won’t find many people with very strong AI skills, not building AI, but using AI.”

Lucidya CEO Abdullah AsiriImage credit:Ramsey Cardy / Web Summit Qatar via Sportsfile

Asiri also said that people who can create assistants who can help them do their job would be the best to be hired.

Taking care of AI customer feedback

Shim pointed out that a few years ago, many people were hesitant to have AI scripts in meetings and didn’t understand why the bot was calling. However, now people are more receptive to notakers as long as you give them control around the recording, he said.

Asiri said that Lucidya discloses to users when they use voice AI to communicate. He added that for users, solving issues is more important than having an AI bot touch their phones.

“It’s all about solving problems and finding customer problems and solving them,” Asiri said. “As long as AIs focus on the field, customers are happy that their issues are resolved. Customers don’t care if they are fixed by AI or human, as long as they are fixed quickly and accurately.”



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