Warsh looms over jobs report
Wall Street Breakfast
Seeking Alpha
4.1 • 1K Ratings
🗓️ 1 February 2026
⏱️ 3 minutes
🧾️ Download transcript
Summary
Show Notes
Earnings Calendar
Dividend Roundup
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| 0:00.0 | Welcome to Seeking Alpha's Wall Street brunch, our Sunday look ahead to this week's |
| 0:09.9 | market-moving events, along with the weekend's top news and analysis. |
| 0:13.8 | Hello, today is Sunday, February 1st, and I'm your host, Kim Kong. |
| 0:17.5 | This week brings another dose of the mega and the macro. |
| 0:20.5 | More mega-cap earnings arrive |
| 0:21.7 | alongside the January jobs report. Economists spec non-farm payrolls rose by $68,000 last month, |
| 0:27.8 | with the unemployment rate holding steady at 4.4%. But this time, the job numbers come with a twist. |
| 0:33.4 | The actual figures may play second fiddle to what new Fed share nominee Kevin Warsh has to say about them. |
| 0:38.8 | If payrolls come in hotter than expected, does he still stick to the White House script that rates need to come down? |
| 0:44.4 | Seeking Alpha Analysts, says the labor market could deteriorate rapidly from here, |
| 0:48.7 | with AI giving companies an option to increase layoffs and forego new hires. |
| 0:52.8 | They add that if the job market continues to |
| 0:54.6 | soften, it could ease inflation pressures through 2026 and give the Fed more room to cut than |
| 0:59.6 | some policymakers currently expect. Turning to the earnings calendar, two more mega caps are up this |
| 1:04.7 | week, Alphabet reports Wednesday, and Amazon reports Thursday. Amazon is expected to post |
| 1:09.6 | EPS of $1.94 on revenue of $211 billion or so, |
| 1:13.8 | and analysts are leaning toward the upside surprise. Seeking off analysts in Nova Capital says |
| 1:18.2 | AWS capacity additions, including more than a gigawatt in Q4, could help convert backlog into |
| 1:23.9 | revenue as AI infrastructure demand continues to outpace supply across regions. |
| 1:28.6 | Nova also points to Amazon's recent layoffs, roughly 10% of its corporate workforce, |
| 1:32.8 | as of another potential tailwind as the company shifts from high-cost labor toward AI-diver |
| 1:37.4 | and machine learning models. That theme is still echoing across big tech. |
... |
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