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Saved February 14, 2026
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The article discusses recent trends in AI coding tools and traditional automation platforms, noting a rebound in AI tool usage while automation tools decline. It also examines the mixed impact of AI on unemployment, the unpredictability of startup valuations, and the rapid growth of data centers.
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Traffic for AI coding tools, particularly DevOps and Code Completion Tools, is on the rise again after a summer slump. Cursor, which reached a billion-dollar annual recurring revenue in under two years, is a big player in this resurgence. In contrast, traditional automation platforms like Zapier and N8N have seen stagnant to declining traffic since summer, with a notable drop in November. The takeaway here is that while the data shows a shift, it’s essential to remember that clickstream data can be unreliable and month-to-month changes shouldn't be overstated.
Regarding unemployment, the data presents a mixed picture. Occupations experiencing the largest job losses are often the least exposed to AI, while those most exposed also saw a significant uptick in unemployment. This contradicts the narrative that AI is solely responsible for job losses. Factors like rising interest rates likely have a more substantial impact than AI itself. Interestingly, AI appears to be driving investment and hiring in certain sectors, complicating the narrative further.
In venture capital, past valuations of Series A rounds don’t reliably predict future performance. Data shows that the lowest quartile A valuations often lead to flat or declining outcomes, yet they also yield a notable number of high-return successes. Conversely, the top quartile has fewer 10x returns, suggesting that valuation does play a role in potential success. The optimal range for A rounds appears to be the second-highest quartile, which balances lower failure rates with a good number of high-return outcomes.
Data centers are rapidly expanding, with some of the largest currently in development expected to reach 1-2 gigawatts of power—enough to supply energy to about a million homes. This growth is happening quickly; for instance, xAI’s Colossus 2 is projected to hit the 1GW mark within a year of its launch. This rapid scaling raises energy demands significantly, highlighting both the potential and the challenges of meeting the infrastructure needs of this booming sector.
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