The website layoffs.fyi shows that layoffs began in 2022 and peaked in 2023. While ChatGPT-3 and 3.5 existed in 2022, they weren’t mainstream, and their impact was minimal(compared to now).
Layoffs at companies like Microsoft or Meta are driven by factors like declining stock value, lower revenues, and shareholder doubts. Microsoft’s AI investments, for instance, led to a 5% stock drop over six months, reflecting investor concerns.
The AI sector heavily relies on Nvidia and limited data center capacity. Additionally, the Biden administration recently capped AI chip exports, further complicating the market.
CEOs often claim, “Coding is dead; AI will replace software engineers,” yet they’re heavily invested in AI or selling AI products. Remember Devin, the personal AI software engineer? It reached a $2 billion valuation in just six months. These investments resemble the dot-com bubble, which burst after years of hype.
The market will correct itself, revealing which companies can sustain their claims. For example, Stability AI, developer of Stable Diffusion, faced nearly $100 million in unpaid bills and lawsuits. They narrowly avoided bankruptcy through additional funding, with their CEO stepping down.
The AI market is 50% hype and 50% unknown. When the bubble bursts, we’ll see the reality. Keep learning programming and use AI as a tool, not a threat. Your domain knowledge will always make you more valuable than someone relying solely on AI to generate code.
submitted by /u/Professional-Code010
[link] [comments]
r/cscareerquestions The website layoffs.fyi shows that layoffs began in 2022 and peaked in 2023. While ChatGPT-3 and 3.5 existed in 2022, they weren’t mainstream, and their impact was minimal(compared to now). Layoffs at companies like Microsoft or Meta are driven by factors like declining stock value, lower revenues, and shareholder doubts. Microsoft’s AI investments, for instance, led to a 5% stock drop over six months, reflecting investor concerns. The AI sector heavily relies on Nvidia and limited data center capacity. Additionally, the Biden administration recently capped AI chip exports, further complicating the market. CEOs often claim, “Coding is dead; AI will replace software engineers,” yet they’re heavily invested in AI or selling AI products. Remember Devin, the personal AI software engineer? It reached a $2 billion valuation in just six months. These investments resemble the dot-com bubble, which burst after years of hype. The market will correct itself, revealing which companies can sustain their claims. For example, Stability AI, developer of Stable Diffusion, faced nearly $100 million in unpaid bills and lawsuits. They narrowly avoided bankruptcy through additional funding, with their CEO stepping down. The AI market is 50% hype and 50% unknown. When the bubble bursts, we’ll see the reality. Keep learning programming and use AI as a tool, not a threat. Your domain knowledge will always make you more valuable than someone relying solely on AI to generate code. submitted by /u/Professional-Code010 [link] [comments]
The website layoffs.fyi shows that layoffs began in 2022 and peaked in 2023. While ChatGPT-3 and 3.5 existed in 2022, they weren’t mainstream, and their impact was minimal(compared to now).
Layoffs at companies like Microsoft or Meta are driven by factors like declining stock value, lower revenues, and shareholder doubts. Microsoft’s AI investments, for instance, led to a 5% stock drop over six months, reflecting investor concerns.
The AI sector heavily relies on Nvidia and limited data center capacity. Additionally, the Biden administration recently capped AI chip exports, further complicating the market.
CEOs often claim, “Coding is dead; AI will replace software engineers,” yet they’re heavily invested in AI or selling AI products. Remember Devin, the personal AI software engineer? It reached a $2 billion valuation in just six months. These investments resemble the dot-com bubble, which burst after years of hype.
The market will correct itself, revealing which companies can sustain their claims. For example, Stability AI, developer of Stable Diffusion, faced nearly $100 million in unpaid bills and lawsuits. They narrowly avoided bankruptcy through additional funding, with their CEO stepping down.
The AI market is 50% hype and 50% unknown. When the bubble bursts, we’ll see the reality. Keep learning programming and use AI as a tool, not a threat. Your domain knowledge will always make you more valuable than someone relying solely on AI to generate code.
submitted by /u/Professional-Code010
[link] [comments]