usjobs

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According to the latest reading from ADP, U.S. private-sector employers unexpectedly shed 32,000 jobs in November 2025 — a sharp reversal from the 47,000-job gain recorded in October.
Meanwhile, the most recent official publicly available report from Bureau of Labor Statistics (BLS) — covering September 2025 — recorded a gain of 119,000 non-farm payroll jobs.

However, despite job gains, the unemployment rate rose to 4.4% in that same month — the highest since 2021.
🔎 Why the Numbers Are Mixed — And What That Means
The conflicting signals reflect a labour market slowing under economic headwinds:
The drop in private-sector jobs — especially small-business layoffs noted by ADP — suggests employers are cautious amid uncertain demand and macroeconomic pressures.
On the flip side, the 119,000-job gain in September indicates that sectors like healthcare, food services, and social assistance continue to hire.
Still, the rise in unemployment — even alongside job creation — hints at more people re-entering the labor force or looking for work, perhaps spurred by shifting expectations or economic uncertainy.
⚠️ Broader Context — What’s Behind the Churn
Several factors make the current U.S. labor market particularly challenging to interpret:
The official monthly jobs report has been disrupted: a recent government shutdown delayed the release of October data, and household-survey data for that month will not be recovered.
As a result, analysts are relying more heavily on alternative indicators — like private payrolls data (e.g., from ADP) or weekly unemployment-claims filings — to gauge the health of the job market.
The result: mixed signals, more uncertainty, and a labor market best described as “softening” rather than robustly growing.
📆 What Comes Next
The next full employment report from BLS — covering November (and including October’s delayed data) — is scheduled for release on December 16, 2025.
Until then, economists will watch private-sector data, unemployment claims, and other indicators to understand where the labor market is headed — especially as the question of interest-rate cuts by the Federal Reserve remains on the table.
If you like — I can prepare 3 possible scenarios for how the U.S. labour market might evolve over the next 6–12 months.

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The U.S. labor market just dropped a bombshell. First-time unemployment filings fell to 191,000 for the week ending Nov 29 — a level not seen since September 2022. That’s a massive drop of 27,000 from the prior week’s revised figure.

📊 What This Means

Employers are holding on — layoffs remain rareLabor demand remains surprisingly firmStrong employment data complicates the decisions of policymakers balancing inflation vs growth

This surge in labor strength could force the Federal Reserve to carefully reconsider its next steps — especially when it comes to interest rates and monetary policy.

The next report (due next week) will be critical to see if this trend continues or this week was just a one-time surprise.

#JoblessClaims #USJobs #EconomicData #LaborMarket

According to data released by Automatic Data Processing and cited by Jinshi Data, the U.S. private sector recorded net job losses of 32,000 in November, with small businesses bearing the bulk of the layoffs.

The November report marks a sharp deterioration in labor market conditions compared with October. ADP also revised October’s data to a gain of 47,000 jobs, significantly below the 40,000 increase forecast by economists surveyed by Dow Jones.

This data is particularly important because it represents the last major employment input available to the Federal Reserve ahead of its December interest rate decision.

Based on current futures pricing, traders are now assigning nearly a 90% probability that the Federal Reserve will cut the benchmark interest rate by 25 basis points at the upcoming meeting.

From a market perspective, softening labor data typically strengthens expectations for monetary easing, which is generally viewed as supportive for risk assets, including equities and crypto.

#USJobs #FederalReserve

Born in 2015 from the vision of Vitalik Buterin and his co-founders, Ethereum redefined what a blockchain could be. Instead of serving purely as a ledger for peer-to-peer payments, it introduced a groundbreaking idea: a decentralized, programmable environment where smart contracts and dApps could run autonomously. That shift laid the foundation for today’s DeFi, NFT, and Web3 movements.
Ethereum’s evolution hasn’t stopped. In 2022, the network completed The Merge, migrating from energy-intensive proof-of-work to the more efficient proof-of-stake model. This upgrade dramatically improved energy usage, enhanced network economics, and prepared the chain for future scalability—solidifying ETH’s role as both a digital asset and the engine that powers computation via gas fees.
The Ethereum universe is vast. Thousands of decentralized applications operate atop its infrastructure—DeFi giants like Aave and Uniswap, NFT hubs, blockchain gaming ecosystems, and major layer-2 networks such as Arbitrum and Polygon that help scale activity while reducing costs. Developers build, validators secure, and users transact inside an ever-expanding programmable economy that continues to shape the next era of the internet.
At CoinDesk, coverage spans the full spectrum of Ethereum’s growth: protocol upgrades, scaling breakthroughs, staking trends, governance debates, regulatory shifts, and the broader impact of programmable money. From roadmaps to real-world adoption, we track the innovations transforming Ethereum into the settlement layer of a decentralized future.

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A new debate is brewing across Wall Street and Web3 — one that challenges the very foundation of modern trading. As AI systems evolve at breakneck speed, analysts are asking a once-unthinkable question:
What happens to markets when Artificial General Intelligence becomes the dominant trader?
Recent research, on-chain data, and automation trends all point to the same conclusion:

The era of human-driven day trading may be coming to an end.
Algorithms Already Control Crypto — and AGI Would Finish the Job
High-frequency trading reshaped stock markets a decade ago. Crypto followed the same trajectory, accelerated by market makers like Wintermute, Jump, and GSR.
By 2024, Kaiko data showed that over 70% of trading volume on major exchanges — including Binance — came from algorithms. Humans are no longer steering intraday price action; machines are.
This shift tightened spreads, boosted liquidity, and increased execution speed — while simultaneously erasing the volatility windows that retail traders once relied on.
The 2024 Solana memecoin mania provided a clear example:
Sniper bots consistently beat humansAI agents reacted to whale flows before traders even noticedAutomation captured most early momentum and arbitrage
Every step forward in automation has steadily compressed retail “alpha.”
AGI would simply finish the compression.
AGI Is Not Just a Faster Bot — It’s a Marketwide Intelligence Layer
Today’s AI models are narrow. They read order books, scan social sentiment, and detect arbitrage — but each system works within a limited domain.
AGI would not.
A true AGI trading model could:
Read blockchain flows in real timeDetect whale footprintsIncorporate macro indicatorsInterpret geopolitical riskAnalyze supply-chain dataPredict liquidity shocksAnd merge all of this into a unified forecast engine
Analysts call this scenario the Perfect Efficiency Paradox:
“If AGI identifies the correct trade first, the market adjusts instantly — removing the opportunity altogether.”

The result?
Volatility collapsesArbitrage shrinks to zeroMarket-making becomes purely automatedThe human edge disappears
Liquidity remains — but opportunity does not.
Some theorists describe this future as a liquidity black hole, where markets stay active but profit windows for day traders vanish.
AI Market Makers Are No Longer Theory — They’re Already Here
Firms like DWF Labs have argued that AI-driven market making will dramatically increase liquidity, especially for small-cap tokens with thin order books.
Key voices agree:
Arthur Hayes: AI will outperform every human traderVitalik Buterin: Advanced systems could monopolize MEV extractionAlex Krüger: Markets will trend toward hyper-efficiency
What sounded hypothetical years ago is now visible in live order books.
Automation has already pushed traders into new roles:
Humans supervise riskAI executes tradesAgents monitor anomaliesBots manage liquidity
The “trader behind the screen” is being replaced by “the human supervising the machine.”
Meanwhile, AI trading agents — capable of researching, strategizing, executing, and learning autonomously — are surging.
Forecasts project the AI trading bot industry could reach $75.5B by 2034, reinforcing the momentum.
The Bottom Line: AGI Could Reshape Markets Forever
If automation continues accelerating, AGI won’t just change trading — it will redefine it:
Retail day trading fadesMarket-making becomes fully autonomousHuman traders shift to oversight rolesPrice discovery becomes machine-dominated
The question isn’t whether AGI will change markets.
It’s whether humans will still have a meaningful role once it arrives.
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