• July 28, 2021

Which tech stocks should investors buy right now?

It’s a great question.

And one that’s worth asking.

In a recent post on CNBC’s “Power Lunch,” TechCrunch contributor Michael J. Dirda asked whether it’s worth investing in technology stocks right now.

Douda, an analyst at Cowen & Co., is an advocate of the technology stocks that are currently underperforming, like Tesla Motors Inc., Uber Technologies Inc. and Amazon.com Inc. Dirds, who is also a partner at Blackstone Group LP, an investment firm, believes that tech stocks are likely to outperform in the future and that they’re “at the right place at the right time.”

“If you’re looking for a technology company to take the bull by the horns right now, then it might be time to sell your tech stocks,” Dirdas said.

“It would be a good time to invest in some of the top tech stocks in the world right now because of their potential to deliver significant returns and potentially a massive disruption in the global economy,” he continued.

“If the tech stocks can’t continue to grow at their current pace, the tech sector could very well crash.”

TechCrunch founder Jeff Boorstin recently wrote an article for the publication that argued that technology stocks may be at a “very dangerous” time.

In the piece, Boorstein highlighted the growing amount of data that has been generated on the impact of artificial intelligence on jobs and the economy.

He argues that tech companies need to start to consider how their AI algorithms will impact their employees and the jobs that they create.

Boorsteins piece, “What AI could mean for you,” argued that AI technology could significantly impact the jobs of tech workers.

It noted that AI algorithms, or deep learning algorithms, are designed to learn from data and analyze it for patterns.

For example, the algorithms that the Google Brain program uses could be able to learn to recognize people based on their facial expressions and body language, as well as what they’re wearing.

“If we can use AI to make better decisions about what we wear, what we say, and what we read, that could have a huge impact on the jobs in a very short period of time,” Boorstein wrote.

“And the jobs could be significantly more efficient because the AI algorithm would be able more easily identify trends and create better predictions.”For more:

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