
Key takeaways of zdnet
- Information technology jobs are rapidly threatened by AI.
- AI also opens new doors of innovation for startups.
- At the same time, AI adds more complexity to startup scenarios.
Study related aspects of computer science or information technology, get a job in chipotl?
According to a recent depressed, Artificial Intelligence seems to reduce many coding and technology jobs. Article New York Times’ by Natasha Singer.
“The spread of AI programming tools, which can quickly generate thousands of lines of computer code – combined with sorting in companies such as Amazon, Intel, Meta and Microsoft – is reducing the possibilities in an area that the tech leaders promoted for years as a golden career ticket,” Singer wrote.
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There are three ways to look at AI in terms of career possibilities. There is a job-person, has been noted above. Another is to immerse yourself in AI development and inspection skills, which are in demand.
Then there is a third option. AI can be the lever that leads the professionals’ paths into a startup space, which opens abundant opportunities. Ultimately, it can help people to launch more successfully and guide their startups.
“AI makes it easy for founders to launch new enterprises, Spiros MargarisThe founder of a major global enterprise capitalist and the founder of the Fintech Space Margaris venturesMargis shared his perspectives with us on startup opportunities. “With the correct big language model and data skills on your team, you can automate an important part of your operations, tested ideas rapidly, spend less, and soon reach profitability, if you like what you are offering.”
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AI can help out some of the risks that launch their own enterprise – fear factor that prevents people from leaving the formal job market in their tracks. Nearly half of a million startups starting annually within the US will fail within five years ago, according to which Tracking data From US Bureau of Labor Statistics. Eventually, competition, misguided product strategies, or heavy cost will fail to 90%.
The biggest advantage of AI for testing new business ideas is speed. “Prototypes and testing can now be done in a week to take months or years of time,” Margis said. “As we saw the democratization of the financial industry with Fintech, we are looking at the same with AI. It allows small players to level the playground against big corporations, which first require deep pockets, require investment, which can only tolerate big corporations. Now, thanks to AI innovations, these abilities are compelled with very few processions.”
At this point, AI must be at the core of the most, if not all, startups, he said. “Many startups were already using AI, the chat in some form changed the game. Even those who are not using it are yet to find out how to integrate it in your strategy. If you want to survive, grow and raise money, AI-I-first and no longer alternative.”
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In today’s startup scene, AI is being leveraged everywhere. Margis said, “Fraud detection, marketing, e-commerce, hiring, coding, you name it.” “Machine Learning was already in the game before resetting our expectations of OpenIAI. Look at the recent number of Meta: No matter how much AI expenses seem, it is only going up, and the payment is coming faster than most industry supervisors. AI leads its abilities.
There are even obs
At the same time, AI starts more complexity to the startup scenarios, the Margaris said. “AI is not a free lunch, even if it feels magical when it works. It can reduce the risk, help with compliance, and improve auditability, but it can also create new headache. It is two sides of the same coin.”
He said that cyber security should also be at the forefront of new undertakings. “The danger is intensifying because AI is used to rescue and attack. It is a fight that should be ready for every startup, and it will only become more complicated with issues such as intellectual property disputes and data privacy rules.”
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Margis has advice for those wishing to start a new business and how AI can help. “Create a team that understands AI, data science, governance and morality. Never lose the vision of the AI regulatory environment, which can have a deep negative impact on your business if you do not monitor it closely.”
Importantly, “do not win equipment; people do,” he said. “A great driver will beat a good in the same car. This is the same with AI. The right team and mentality make all the differences. My advice is?

