Farhad Alavi @FarhadAlavi - Twitter Profile

Pinned Tweet

3 months ago

As part of the Trump Administration policy of economic fury against Iran, OFAC has ramped up sanctions on scores of individuals, companies, and vessels involved in sale, shipping, and finances related to the Iranian regime's sale of oil and petrochemical products.

FarhadAlavi's tweet photo. As part of the Trump Administration policy of economic fury against Iran, OFAC has ramped up sanctions on scores of individuals, companies, and vessels involved in sale, shipping, and finances related to the Iranian regime's sale of oil and petrochemical products. https://t.co/OTBvInoo4Y

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FarhadAlavi retweeted

Lloyd's List @LloydsList

25 days ago

US forces will reimpose a blockade on Iranian ports less than a month after it was lifted under the US-Iran MOU. US Central Command will resume enforcing the blockade on vessels travelling to and from Iranian ports from 20:00 UTC on July 14 https://t.co/dyfyKJUnAl

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FarhadAlavi retweeted

Shanaka Anslem Perera ⚡

@shanaka86

about 1 month ago

INSIGHT: The great fear was that AI would replace us. In 2026 the opposite is quietly unfolding. A third of the companies that fired people to install AI have already hired them back, and when the researchers ran the math, the layoffs turned out to have saved almost nothing. Yup! Let’s start with the hardest fact. Gartner surveyed 350 large companies, 80 percent of which had cut jobs for AI, and found no meaningful link between those cuts and better returns. The idea the whole wave rested on, fewer people means lower cost means higher profit, simply was not in the data. Careerminds, polling 600 HR leaders who had run layoffs, found nearly a third said rehiring cost more than the layoffs ever saved. Forrester reports 55 percent of employers now regret the decision, and more of them expect AI to grow their headcount next year than to shrink it, 57 percent against 15. A year ago top executives went on live television to announce the people they had replaced. This year they are quietly reposting the jobs. 🙊 You can see why. Klarna swapped 700 support agents for an Ai chatbot, watched satisfaction slide mainly because the Ai chatbots lack the human personality / emotions and that touch, and its chief executive admitted their company had gone too far. Tech giant IBM automated their HR desk, which handled the easy 94 percent of requests and stalled on the 6 percent that needed judgment, and is now tripling entry-level hiring. American giant Ford brought back more than 350 veteran gray beard highly skilled engineers to catch defects its automated systems had missed. These are all facts. Check for yourself. One thing is worth getting right, because it is where most takes fall apart. This is not AI failing, and it is not machines needing us. The economy is still adding jobs, and the roles that build and steer AI are in heavy demand. What broke was one crude assumption, that a model which can finish a task can therefore hold a job. It cannot. The judgment, the escalation, the human trust, the memory of ten thousand past cases that experience, that human touch, personality and emotions, that was the job, and it was exactly what got deleted when the people walked out replaced by Ai. So the machines are not taking the work. They are sorting it into two piles, the tasks a model can finish and the judgment a person was always there to hold. The companies that bet everything on the first pile are paying, twice, to rebuild the second. It turned out to be far larger than they admitted.

shanaka86's tweet photo. INSIGHT: The great fear was that AI would replace us.

In 2026 the opposite is quietly unfolding.

A third of the companies that fired people to install AI have already hired them back, and when the researchers ran the math, the layoffs turned out to have saved almost nothing. Yup!

Let’s start with the hardest fact.

Gartner surveyed 350 large companies, 80 percent of which had cut jobs for AI, and found no meaningful link between those cuts and better returns.

The idea the whole wave rested on, fewer people means lower cost means higher profit, simply was not in the data. Careerminds, polling 600 HR leaders who had run layoffs, found nearly a third said rehiring cost more than the layoffs ever saved.

Forrester reports 55 percent of employers now regret the decision, and more of them expect AI to grow their headcount next year than to shrink it, 57 percent against 15.

A year ago top executives went on live television to announce the people they had replaced. This year they are quietly reposting the jobs. 🙊

You can see why. Klarna swapped 700 support agents for an Ai chatbot, watched satisfaction slide mainly because the Ai chatbots lack the human personality / emotions and that touch, and its chief executive admitted their company had gone too far.

Tech giant IBM automated their HR desk, which handled the easy 94 percent of requests and stalled on the 6 percent that needed judgment, and is now tripling entry-level hiring.

American giant Ford brought back more than 350 veteran gray beard highly skilled engineers to catch defects its automated systems had missed.

These are all facts. Check for yourself.

One thing is worth getting right, because it is where most takes fall apart. This is not AI failing, and it is not machines needing us.

The economy is still adding jobs, and the roles that build and steer AI are in heavy demand.

What broke was one crude assumption, that a model which can finish a task can therefore hold a job. It cannot.

The judgment, the escalation, the human trust, the memory of ten thousand past cases that experience, that human touch, personality and emotions, that was the job, and it was exactly what got deleted when the people walked out replaced by Ai.

So the machines are not taking the work.

They are sorting it into two piles, the tasks a model can finish and the judgment a person was always there to hold. The companies that bet everything on the first pile are paying, twice, to rebuild the second. It turned out to be far larger than they admitted.

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Farhad Alavi

@FarhadAlavi

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