OpenAI Just Built a ChatGPT for Wall Street — And It's Coming for the Junior Banker's Job

 

OpenAI Just Built a ChatGPT for Wall Street — And It's Coming for the Junior Banker's Job

**OpenAI launched ChatGPT for Financial Services on Thursday, a version of its AI assistant built specifically for investment bankers and equity researchers. It's powered by GPT-6 Astra, packed with data from LSEG, PitchBook, and Daloopa, and designed with Morgan Stanley and Evercore. But here's the uncomfortable question nobody at OpenAI wants to answer directly: is this tool coming for the jobs of the analysts it's supposed to help?**

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## The Product: A Junior Banker in a Chat Window

Let me tell you what OpenAI actually built here, because it's not just ChatGPT with a finance skin.

**ChatGPT for Financial Services** is a specialized version of OpenAI's flagship product, developed in partnership with Morgan Stanley and Evercore as design partners . It combines OpenAI's latest model, **GPT-6 Astra**, with built-in data from major financial data providers .

Here's what it can do:

**Research across multiple sources.** The tool includes datasets from Daloopa, LSEG News, PitchBook, Crunchbase, Quartr, and others covering earnings transcripts, financial statements, and company fundamentals . The data is indexed on OpenAI's own infrastructure to improve retrieval and citation .

**Build financial models.** Users can create detailed financial models and test how different variables affect outcomes .

**Generate client materials.** The product can create pitchbooks and presentations using a firm's own templates . Company administrators can pre-load branded presentation templates, so a new intern on day one has everything ready to go .

**Trace figures to sources.** OpenAI built in "granular citations" that let analysts trace numbers and claims back to their original sources . That's a critical feature for an industry where a wrong number can mean a failed deal or a regulatory problem.

**Connect existing subscriptions.** Firms that already pay for data from FactSet, S&P Global, Preqin, or Datasite can connect those subscriptions through integrations .

**Adjust effort levels.** Users can toggle between high, medium, and low "effort" settings. Higher effort means more tokens used and higher cost, but potentially better quality output .

This isn't a consumer product. It's only available to "eligible financial institutions" that have ChatGPT Enterprise accounts and speak directly with OpenAI to get access .

---

## The Pitch: "Research Like an Analyst"

Nick Turley, OpenAI's VP and head of ChatGPT, framed the product in terms that should make every junior banker pay attention.

**"We're effectively teaching ChatGPT to research like an analyst and back up its conclusions like an analyst,"** Turley said during a briefing announcing the product .

He described it as the "canonical product" OpenAI hopes the entire financial industry adopts .

The company showed reporters a demo where the tool analyzed a potential acquisition target, pulled financial metrics, and created a PowerPoint presentation using a bank's own template. That presentation reportedly took about **10 minutes** for Astra to create .

"Teams can now quickly conduct deep research across multiple sources and create detailed artifacts in one shot," OpenAI said in its blog post. "For example, for an acquisition, they can compare the target with its peers, and test how revenue growth affects valuation, and turn the entire analysis into an editable model or pitchbook using their firm's templates" .

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## The Jobs Question: Will This Replace Junior Bankers?

Here's where things get uncomfortable.

The tasks that ChatGPT for Financial Services performs—company research, financial modeling, pitchbook creation—are exactly the tasks that investment banks pay their youngest employees to do. Analysts and associates, typically in their early 20s, spend countless hours building models and formatting presentations. It's grueling work, but it's also the apprenticeship that trains the next generation of dealmakers.

When asked directly whether the tool would replace junior bankers, Turley deflected.

**"In the same way that Microsoft Excel transformed the industry and allowed them to produce better analysis faster, you will see technology like this do the same,"** he said .

But not everyone is convinced.

**Theodora Lau**, founder of Unconventional Ventures, warned about the long-term consequences.

**"We are removing the ability for the junior bankers to learn what a wrong model looks like,"** she told American Banker. **"Ten years down the road, you'll end up with managing directors who have never built a model from scratch. That's what apprenticeship is supposed to be for, and it just got automated by OpenAI"** .

That's the real risk. Building models by hand teaches you the mechanics of finance. You learn where numbers come from, how assumptions flow through a spreadsheet, and—critically—what happens when you get something wrong. If AI handles all of that from day one, what happens to that institutional knowledge?

**Chris Churchman**, a partner at Goldman Sachs, offered a similar warning:

**"The ability to reason is still important. You still have to reason around problems and structure them into an argument, and now we're delegating the reasoning,"** he said .

---

## The Design Partners: Morgan Stanley and Evercore

OpenAI didn't build this in a vacuum. The company worked directly with **Morgan Stanley** and **Evercore** as design partners to shape the product .

This is a significant signal. Morgan Stanley has been an early adopter of AI tools, and its involvement suggests the bank sees real value in the product. Evercore, a boutique advisory firm with roughly **2,500 employees**, has a business model that depends heavily on revenue per managing director. If ChatGPT can reduce analyst hours even by 10%, that's a visible margin improvement .

Turley told reporters he's been spending significant time in New York to develop the product, and that working with the banks was essential because "there's a difference between what looks good in a demo and what is actually a usable output" .

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## The Competitive Landscape: Anthropic, Bloomberg, and Microsoft

OpenAI isn't alone in courting Wall Street.

**Anthropic** already offers a version of Claude for financial analysis, which it debuted in July 2025 . Both companies have filed confidential paperwork to go public, with Anthropic expected to IPO as soon as this fall, ahead of OpenAI .

**Bloomberg** has quietly rolled out its own ChatGPT-style tool for its terminal, called **ASKB** (Ask Bloomberg). It lets users ask questions in plain English about research, market prices, and news. But the rollout took three years after generative AI exploded, and the tool remains limited—you can't ask about a portfolio, and it's not fully integrated into the terminal's design .

**Microsoft** has pushed Copilot into Excel and Outlook, where most actual analyst work happens. OpenAI's advantage is model quality. Its disadvantage is that it owns neither the spreadsheet nor the terminal. A pitch deck assembled in ChatGPT still has to be reconciled against a Bloomberg terminal and a bank's compliance archive .

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## The Security and Compliance Architecture

For financial institutions, data security isn't a feature—it's a requirement. OpenAI built the product on ChatGPT Enterprise's existing security controls, including:

- **Role-based access controls**

- **SAML SSO and SCIM provisioning**

- **Encryption**

- **Data retention configuration**

- **Audit trail exports** that compliance teams can pull into their workflows 

The design-partner structure with Morgan Stanley and Evercore implies that the compliance architecture was co-developed rather than retrofitted. That matters. Financial-services deployments require data residency guarantees, audit trails, and model outputs that can be reconstructed for regulators. If the architecture holds, the addressable market is the entire sell-side research and advisory stack .

---

## What This Means for Investors

Let me break this down into three read-throughs.

**For Morgan Stanley and Evercore:** They get a productivity story they can put in front of clients and shareholders before peers have one. Evercore's headcount is roughly 2,500 against a market cap near $10 billion. A 10% reduction in analyst hours is a visible margin line, not a rounding error .

**For enterprise software vendors:** Microsoft, Bloomberg, and to a lesser degree Salesforce and Palantir face a narrower wedge for products whose main value is assembling documents or surfacing data .

**For the junior-banker labor market:** Already compressed by a multi-year dealmaking slump, entry-level hiring faces another source of downward pressure that has nothing to do with deal volumes .

The counterargument is that banks have automated analyst work before. Excel, PowerPoint templates, and offshore research centers each promised to cut junior headcount. Instead, banks absorbed the savings into more output per banker. Whether generative models break that pattern depends on whether they reduce hours or raise the volume of work each analyst is expected to produce .

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## The Bottom Line: The Junior Banker's Job Is Changing

OpenAI's launch of ChatGPT for Financial Services is more than a product announcement. It's a signal that AI is moving decisively into the white-collar work that has long been the training ground for Wall Street's elite.

The tool won't replace every junior banker tomorrow. But it will change what the job looks like. The grunt work—building models, formatting presentations, pulling data—will increasingly be automated. What remains for humans is judgment, relationship-building, and the kind of reasoning that comes from experience.

The problem, as Theodora Lau pointed out, is that automating the grunt work also removes the apprenticeship . Ten years from now, will the managing directors have ever built a model from scratch?

That's the question OpenAI didn't answer on Thursday. And it's the question the entire financial industry will have to grapple with as AI becomes more capable.

For now, the tool is available only to eligible institutions. But the direction is clear. The junior banker's job is changing. And the change is coming fast.

---

## Frequently Asked Questions (FAQs)

### 1. What exactly did OpenAI launch?

OpenAI launched **ChatGPT for Financial Services**, a specialized version of ChatGPT built for investment bankers and equity researchers. It's powered by GPT-6 Astra and includes built-in data from providers like LSEG, PitchBook, Daloopa, and Crunchbase .

### 2. Who is it for?

The product is designed for large financial institutions. It's only available to "eligible financial institutions" that have ChatGPT Enterprise accounts and speak directly with OpenAI to get access .

### 3. What can it do?

It can conduct research across multiple financial data sources, build financial models, generate client materials like pitchbooks using a firm's own templates, and provide granular citations that let analysts trace figures back to their original sources .

### 4. Was it built with any banks?

Yes. OpenAI developed the product with **Morgan Stanley** and **Evercore** as design partners. They helped shape the offering to meet the needs of investment bankers .

### 5. Will it replace junior bankers?

That's the big question. OpenAI's Nick Turley frames it as an efficiency tool, comparing it to how Excel transformed the industry. But critics warn that automating analyst work removes the apprenticeship that trains future leaders .

### 6. How is it different from regular ChatGPT?

The financial services version includes industry-specific datasets indexed on OpenAI's infrastructure, integrations with data providers like FactSet and S&P Global, and security controls designed for regulated institutions .

### 7. How does it compare to Anthropic's offering?

Anthropic already offers a version of Claude for financial analysis, which it debuted in July 2025. Both companies are competing for enterprise clients in the financial sector .

### 8. When will it be available?

The product is currently being offered to eligible financial institutions. OpenAI has not announced a broader rollout timeline .

---

## Disclaimer

*This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. The views expressed are based on publicly available information, including OpenAI's announcement, news reports, and analyst commentary as of September 11, 2026. Product features, availability, and pricing are subject to change. The author does not endorse any specific investment strategies or products. Before making any financial or investment decisions based on the content of this article, please consult with qualified professionals who can evaluate your specific situation.*

Stock Market Today: Bond Yields Jump as Oil Climbs — Here's What's Really Happening

 Stock Market Today: Bond Yields Jump as Oil Climbs — Here's What's Really Happening

**Brent crude just blasted above $109 a barrel, the 30-year Treasury yield hit its highest level since 2004, and stocks fell for the fourth straight day. Welcome to the week where the bond market and the oil market teamed up to make everyone's life miserable.**

---

## The Headlines: A Sea of Red

Let me hit you with the numbers first, because they tell the story better than anything else.

**The Dow Jones Industrial Average** fell **316.56 points, or 0.60%, to close at 52,064.10** . At one point, it was down more than 400 points .

**The S&P 500** dropped **44.66 points, or 0.58%, to 7,591.70** .

**The Nasdaq Composite** slid **171.62 points, or 0.65%, to 26,081.72** .

And the **Philadelphia Semiconductor Index**? It got hammered, falling **2.66% to 11,614.17** .

This was the **fourth consecutive day of losses** for all three major indexes .

---

## The Oil Story: $109 and Climbing

Here's the thing that's driving everything. **Brent crude futures settled at $107.63 a barrel, up 6.34%** . And in after-hours trading, it pushed even higher, **topping $109 a barrel for the first time since May 21** .

**West Texas Intermediate**, the U.S. benchmark, **crossed $100 a barrel for the first time in months**, settling at **$102.48, up 6.69%** . That's eight straight days of gains — the longest winning streak in three years .

Why is oil surging? The U.S.-Iran war, now in its seventh month, shows no signs of ending. The **Strait of Hormuz** remains heavily disrupted. And the **Red Sea** is now a second front, with Houthi rebels in Yemen threatening shipping through the Bab al-Mandeb Strait .

Brent is now up **almost 80% this year**, though it remains below its wartime peak of just above $126 a barrel reached in April .

---

## The Bond Market: Yields Are Exploding

While oil was surging, the bond market was having its own meltdown.

**The 10-year Treasury yield** climbed as high as **4.966%** — its highest level since October 2023 . It closed at **4.95%** .

**The 30-year Treasury yield** hit **5.36%**, its highest close since **June 2004** — more than two decades ago .

**The 2-year Treasury yield**, the most sensitive to Fed policy, jumped **12.2 basis points to 4.548%** — its highest level in over two years .

This is a global phenomenon. Yields are rising everywhere, driven by a combination of oil prices, inflation fears, and massive government borrowing.

---

## The PPI Report: The Final Straw?

The bond selloff accelerated after Thursday's **Producer Price Index** report.

The PPI rose **0.4% month-over-month** in August, in line with expectations. But on a **year-over-year basis, it accelerated to 5.4%**, above the 5.3% forecast and up from July's revised 4.8% .

The culprit? **Energy**. **Diesel prices surged 24.1% in a single month** . Gasoline, jet fuel, and heating oil all rose in tandem.

"Yields are going up at the short end of the curve because the Fed is probably going to hike in the next couple months," said Ross Mayfield, an investment strategy analyst at Baird. "Yields are going up at the long end of the curve because of debt and deficit issues, and sticky inflation" .

---

## The Fed: Rate Hike Odds Just Hit 70%

Here's where it all comes together.

Before Thursday's data, markets were pricing in about a **64% chance** of a rate hike at the Fed's September 15-16 meeting. After? That jumped to **70%**, according to the CME FedWatch tool .

Traders have now **fully priced in a rate hike by October** instead of December .

The Fed's benchmark rate currently sits at **3.50% to 3.75%**. A hike would take it to **3.75% to 4.00%** — the first increase since 2023.

"The Fed is on a knife's edge about whether or not to go at next week's meeting," said Christopher Hodge, chief US economist at Natixis.

---

## The Stock Story: Tech Got Crushed, Apple Held Up

The selling wasn't uniform. Let's look at who got hit and who didn't.

**The Losers:**

- **Nvidia** fell **2.26%** 

- **Micron Technology** dropped **4.90%** 

- **Intel** plunged nearly **6%** 

- **AMD** fell **3.4%** 

- **Oracle** dropped **5.4%** ahead of its earnings report 

**The Winner:**

- **Apple** rose **3.5%** after launching its new foldable iPhone 

The divergence makes sense. Apple is a safe-haven tech stock with massive cash reserves. The chipmakers are more cyclical and more sensitive to economic slowdowns.

---

## The Valuation Angle: Is the Market Getting Cheap?

Here's a silver lining that might surprise you. Despite the selloff, the S&P 500 is still **up 11% in 2026**. And according to Reuters, the recent decline has pushed the benchmark to about **19 times expected earnings** — its cheapest valuation since April 2025 .

So if you're a long-term investor, this might actually be a buying opportunity. But that's a big "if" given the uncertainties ahead.

---

## What Morgan Stanley Is Saying

Morgan Stanley's Mike Wilson, one of Wall Street's most closely followed strategists, offered some practical advice for investors worried about rising rates and oil prices :

**Focus on high-quality U.S. stocks.** The S&P 500 still has the most high-quality companies in the world.

**Use energy as a portfolio hedge.** U.S. energy production insulates America from supply shocks better than Europe or Japan.

**Avoid 30-year Treasuries.** With yields at 5.36%, the risk-reward isn't attractive.

Wilson also noted that refined product prices (like diesel and gasoline) are a more immediate concern than crude oil itself. He estimates the market needs about **30 days to digest the oil price shock** before conditions normalize.

---

## What This Means for You

Let's bring this down to earth.

**If you have a mortgage:** Rates are already above **7%** for many borrowers, according to Chinese financial media . If the Fed hikes next week, they could go higher. If you've been waiting to refinance, the window is closing.

**If you have credit card debt:** Variable rates are tied to the Fed's benchmark. A hike means your minimum payments go up.

**If you're invested in stocks:** The "good news is bad news" dynamic is back. Strong economic data raises rate hike odds, which pressures stock valuations. Growth stocks — especially tech and AI — are the most vulnerable.

**If you're just trying to pay your bills:** Gas prices are at record levels. Diesel is above $5.90 a gallon. Grocery prices are still rising. The inflation you feel at the pump and the checkout counter isn't going away anytime soon.

---

## The Bottom Line: A Perfect Storm

Here's the sobering reality: we're caught in a perfect storm of rising oil prices, surging bond yields, and a Fed that's about to tighten policy.

Oil is above $100. The 30-year Treasury yield is at a 20-year high. Rate hike odds are at 70%. And stocks have fallen four days in a row.

"The bond market selloff was triggered by the rise in oil prices, which is pushing up inflation expectations," said one analyst. "The 10-year yield at 4.95% is now approaching 5%, and if it breaks through, watch out."

The Fed meets next week. The CPI report comes Friday. And the war in Iran shows no signs of ending.

It's going to be a long few days.

---

## Frequently Asked Questions (FAQs)

### 1. Why did the stock market fall on September 10, 2026?

Stocks fell for the fourth straight day because of surging oil prices (Brent above $107 a barrel) and exploding Treasury yields (30-year at 5.36%, highest since 2004). The PPI report showed wholesale inflation accelerating to 5.4% year-over-year, pushing rate hike odds to 70% .

### 2. How high are oil prices right now?

Brent crude settled at **$107.63 a barrel**, up 6.34% on the day, and pushed above **$109** in after-hours trading — its highest level since May 21, 2026 . West Texas Intermediate crossed **$100 a barrel** for the first time in months .

### 3. What happened to Treasury yields?

The 10-year Treasury yield hit **4.966%**, its highest since October 2023. The 30-year yield hit **5.36%**, its highest close since June 2004. The 2-year yield jumped to **4.548%**, its highest in over two years .

### 4. What are the odds of a Fed rate hike next week?

Markets are pricing in a **70% chance** of a 25-basis-point rate hike at the Fed's September 15-16 meeting, up from 64% before Thursday's data .

### 5. What did the PPI report show?

The Producer Price Index rose **0.4% month-over-month** and **5.4% year-over-year** in August. The annual reading was above the 5.3% forecast. Diesel prices surged **24.1% in a single month** .

### 6. Which stocks performed worst?

Chipmakers were hit hardest. Nvidia fell 2.26%, Micron dropped 4.90%, Intel plunged nearly 6%, and AMD fell 3.4%. Oracle dropped 5.4% ahead of earnings .

### 7. Which stocks held up?

Apple rose **3.5%** after launching its new foldable iPhone. It was the biggest gainer in the Dow .

### 8. What should investors watch next?

The **Consumer Price Index** report on Friday. A hotter-than-expected reading could push rate hike odds even higher. The Fed's September meeting on September 15-16 is the main event .

---

## Disclaimer

*This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. The views expressed are based on publicly available information as of September 11, 2026. Market conditions, oil prices, Treasury yields, and Federal Reserve policy are subject to rapid change. The author does not endorse any specific investment strategies or products. Past performance is not indicative of future results. Before making any financial or investment decisions based on the content of this article, please consult with qualified professionals who can evaluate your specific situation.*

Oracle reported fiscal first-quarter results on Thursday, September 9, 2026, and they crushed analyst estimates across the board .

 Oracle just reported earnings, and the numbers are absolutely wild. We're talking cloud infrastructure revenue that more than doubled, a backlog of $664 billion, and a stock that jumped 7% after hours. But here's the thing—there's a massive catch that nobody's really talking about. Let me break it all down for you.

## The Numbers: A Blowout Quarter

Oracle reported fiscal first-quarter results on Thursday, September 9, 2026, and they crushed analyst estimates across the board .

**Revenue** came in at **$19.35 billion**, up **30% year-over-year**. Analysts were expecting $19.14 billion .

**Adjusted earnings per share** hit **$1.92**, up 30% from the prior-year period. The consensus estimate was $1.74 .

But the headline numbers aren't the real story. The real story is cloud infrastructure.

**Cloud infrastructure revenue (IaaS) more than doubled**, surging **121% to $7.4 billion** . That's the ninth consecutive quarter of infrastructure revenue acceleration .

**Total cloud revenue** (IaaS + SaaS) rose **62% to $11.6 billion** .

This isn't a company that's slowly growing. This is a company that's absolutely on fire.

## The $664 Billion Backlog Nobody's Talking About

Here's where things get really interesting. Oracle's **remaining performance obligations (RPO)**—which represents contracted but unrecognized revenue—hit **$664 billion** at quarter's end .

Let me put that in perspective. That's a **$209 billion increase** from the same period a year ago, and a **$26 billion sequential increase** from Q4 .

Oracle booked **more than $30 billion in new AI cloud contracts during the quarter alone** .

On the earnings call, CFO Hilary Maxson explained that the vast majority of those new contracts came through **prepay or "bring your own hardware" arrangements**. That's a crucial detail—it means Oracle doesn't have to front the capital for those contracts .

She also noted that approximately **half of the RPO will convert into sales over the next 36 months** .

## The Spending Problem: $28.5 Billion in CapEx

Now for the catch.

Oracle's **capital spending jumped to $28.5 billion** in the quarter, compared with just $8.5 billion in the same quarter last year . That's a **235% increase** in spending.

The company delivered **850 megawatts of new data center capacity** and **more than 300,000 GPUs** to AI cloud customers during the period .

Here's the problem: Oracle's **free cash flow was negative $5.4 billion** for the quarter . The company is spending more than it's bringing in to build out its AI infrastructure.

Oracle's total debt now stands at **$125 billion** . And the company had planned a new round of **job cuts** ahead of the quarter as it borrowed heavily to fund the AI data center buildout .

This is the fundamental tension in the Oracle story right now: explosive growth, but at an enormous cost.

## The Stock Situation: Down 22% This Year

Here's what makes this even more interesting. Despite the blowout quarter, Oracle stock had been **down 22% this year** through Thursday's close, while the S&P 500 had gained roughly 11% .

The stock closed regular trading at **$152.94**, down 5.38% for the day . Then it popped 7% after hours on the earnings beat .

So why has the stock been struggling? Investors are worried about the massive spending, the negative free cash flow, and the concentration risk in Oracle's AI contracts.

Bank of America analysts estimate that **more than 50% of remaining performance obligations comes from OpenAI** . That's a sell-side estimate, not a company disclosure, but it highlights a real concern: Oracle's AI growth is heavily dependent on a small number of customers.

## The AI Applications Story: Growing but Slower

While infrastructure is booming, Oracle's cloud applications business is growing more modestly.

**SaaS revenue grew 10%**, with **Fusion growing at 14%** and **industry applications growing at greater than 20%** .

Oracle Health "continued to accelerate," and the company announced general availability of **NetSuite Next**, a new AI-powered offering .

Here's a stat that shows how quickly AI is being adopted: customers used Oracle's embedded AI capabilities **more than 150 million times** during the quarter, with usage growing **42% sequentially**. AI agents executed **more than 3.5 million times** in production, nearly doubling quarter over quarter. And customers have over **2,300 AI agents in production**, up 90% quarter over quarter .

The **NetSuite AI Connector** service, which lets customers connect NetSuite data to AI assistants like ChatGPT and Claude, is already one of the fastest-adopted capabilities in NetSuite's history, with **more than 10,000 customers** using it .

## The Legacy Business Is Shrinking

One thing that often gets overlooked: Oracle's **software segment declined 3%** to $5.5 billion . This is the legacy on-premises business, and it's shrinking as customers migrate to the cloud.

That's expected and not necessarily a problem. But it does mean Oracle's overall growth is entirely dependent on the cloud business.

## What This Means for Investors

Let me be direct about what this quarter tells us.

**The bull case:** Oracle is one of the biggest winners in the AI infrastructure buildout. Cloud infrastructure revenue is accelerating, not decelerating. The RPO backlog of $664 billion provides years of revenue visibility. And the company is delivering massive capacity—850 megawatts in a single quarter .

**The bear case:** Oracle is spending enormous amounts of money to build this infrastructure. Free cash flow is deeply negative. The company is carrying $125 billion in debt. And there's significant concentration risk if a few large AI customers slow their spending .

The stock's 22% decline this year suggests investors are focused on the bear case right now. But the after-hours jump of 7% suggests the earnings beat may be changing some minds.

## The Bottom Line

Oracle just delivered one of the most impressive earnings reports of the AI era. Cloud infrastructure revenue more than doubled. The backlog hit $664 billion. The company raised full-year guidance to **at least $90 billion in revenue** with adjusted EPS of **$8.10** .

But the cost of this growth is staggering. Negative free cash flow of $5.4 billion. $28.5 billion in quarterly capital spending. $125 billion in total debt .

The question for investors is simple: is the growth worth the spending?

For now, the market seems to be saying yes—at least after hours. But the regular session decline of 5% suggests there's still plenty of skepticism.

Oracle is betting big on AI. The question is whether that bet pays off before the debt and spending become a problem.

---

## Frequently Asked Questions (FAQs)

### 1. What were Oracle's Q1 FY2027 earnings results?

Oracle reported revenue of **$19.35 billion** (up 30% year-over-year) and adjusted earnings per share of **$1.92** (up 30%). Both beat analyst estimates .

### 2. Why did Oracle stock jump 7% after hours?

The stock jumped because the earnings beat was significant, cloud infrastructure revenue more than doubled (up 121%), and the company raised its full-year guidance to at least $90 billion in revenue .

### 3. What is remaining performance obligations (RPO) and why does it matter?

RPO represents contracted but unrecognized revenue—essentially a backlog of future sales. Oracle's RPO hit **$664 billion**, up $209 billion from a year ago. This provides significant revenue visibility for future quarters .

### 4. Why is Oracle's free cash flow negative?

Oracle's free cash flow was **negative $5.4 billion** because the company is spending heavily on capital expenditures ($28.5 billion in the quarter) to build AI data centers and infrastructure .

### 5. What is the concentration risk in Oracle's AI contracts?

Bank of America analysts estimate that **more than 50% of Oracle's RPO comes from OpenAI**. If OpenAI or a few other large customers slow their spending, Oracle's growth could be significantly impacted .

### 6. What guidance did Oracle provide for the full year?

Oracle raised its full-year fiscal 2027 outlook to a minimum of **$90 billion in revenue** with adjusted earnings of **$8.10 per share** .

### 7. How much debt does Oracle have?

Oracle's total debt now stands at **$125 billion** .

### 8. What does Oracle's cloud infrastructure revenue growth tell us about the AI boom?

Oracle's IaaS revenue growth of 121%—the ninth consecutive quarter of acceleration—suggests that demand for AI infrastructure remains extremely strong. GPU utilization is at **97.9%**, and GPUs that came up for renewal were renewed or resold at a **20% premium** .

---

## Disclaimer

*This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. The views expressed are based on publicly available information as of September 11, 2026. Market conditions, stock prices, and company performance are subject to change. The author does not endorse any specific investment strategies or products. Past performance is not indicative of future results. Before making any financial or investment decisions based on the content of this article, please consult with qualified professionals who can evaluate your specific situation.*

Anthropic Just Admitted Its AI Was Being Used to Develop Bioweapons — And That's the Whole Ballgame

Anthropic Just Admitted Its AI Was Being Used to Develop Bioweapons — And That's the Whole Ballgame

**Anthropic published a 154-page report on Thursday revealing that it blocked multiple attempts to use its Claude AI models for research that could have supported the development of biological weapons. It's the first time an AI company has publicly admitted that its technology was being weaponized this way. And it comes the same week a top researcher resigned, warning that AI could "kill us all by the end of the decade."**

---

## The Report That Changes Everything

Let me tell you about the document that just dropped. It's 154 pages long. It's the first known public admission from an AI company that its models were being used in ways that could support biological weapons development. And it's absolutely chilling.

Anthropic—the company behind Claude, the AI model that's been competing head-to-head with OpenAI's ChatGPT—released its latest threat intelligence report on Thursday, September 10, 2026. The report covers activity between December 2025 and August 2026, and it details seven categories of malicious misuse: cyber operations, influence operations, surveillance, scams and fraud, conventional weapons development, illicit model distillation, and—for the first time—**biological weapons research**.

The company says it disrupted every operation it identified. It banned accounts, dismantled infrastructure, and shared findings with government authorities and other AI labs. But the fact that these activities were happening at all is the story.

---

## The Case Studies: Five Real Examples

Anthropic laid out five specific case studies of biological misuse. And the details are what make this so alarming.

### Case Study #1: The Chikungunya Virus

The most detailed case involved a scientist who asked Claude to help write a grant application for research on the **chikungunya virus**—a mosquito-borne disease that causes severe pain and fever, and for which there is no licensed treatment.

But this wasn't ordinary research. The grant application described work aimed at making the virus **more transmissible and more resistant to the immune system**. Specifically, the researchers wanted to identify enhancing mutations, turn them into infectious clones, and then select the most virulent variants "in vivo"—meaning the virus would become progressively more harmful as it repeatedly infected live animals, and the researchers would preserve the most dangerous strains at each iteration.

Anthropic's safety systems blocked the request. But what really raised the red flags was something else: the grant indicated that civilian researchers would be doing the work, but it was intended to be performed at a **military research institute** in an unnamed country.

"One of the reasons we were inclined to think this research was less innocuous was that the institutional affiliation associated with the grant was also a cause of concern," Anthropic wrote in its report.

### Case Study #2: Bird Flu and Pandemic Potential

Another case involved a researcher based outside the United States who used Claude to analyze data, parse scientific literature, and assist in writing research findings related to **avian influenza**—bird flu—and its "enhanced pandemic potential."

This wasn't a novice playing around. The researcher was a working scientist. And while the research plan was still in its early stages, it was serious enough to catch Anthropic's attention.

What's notable here is that the researcher was using older, less powerful Claude models—Claude Sonnet 4 and Haiku 4.5. Anthropic concluded that these models aren't capable of performing expert-level biology research tasks, so the output was limited and less useful. The company took that as evidence that its safeguards on frontier models are working.

### Case Study #3: Smallpox and Mpox

Anthropic also blocked a user who asked Claude to write an application for a grant to research **orthopoxvirus** at a state-associated infectious disease lab. Orthopoxviruses include **variola**—the virus that causes smallpox—and **Mpox**, which caused a global outbreak in 2022.

The research goal was to better understand genes that are immune to the virus, which could be used to preserve, enhance, or transfer virus immunity. While such research could certainly be used to develop better vaccines and treatments, Anthropic said, "it could also be used to make the pathogen more dangerous."

### Case Study #4: Ebola and Hemorrhagic Fevers

Another case involved a user researching **bacterial toxins and proteins from viral hemorrhagic fevers** with pandemic potential—including **Ebola**.

The company blocked the account.

### Case Study #5: Novel Venoms and Toxins

Anthropic also identified a state entity attempting to use its models to study **non-contagious venoms**. This is another dual-use area where legitimate research into antivenoms can overlap with the development of novel toxins.

---

## The "Dual-Use" Problem: When Good Science and Bad Intentions Look the Same

Here's the fundamental challenge that Anthropic is grappling with—and that every AI company will have to face.

**Biology is dual-use by nature.** The same research that can lead to a vaccine can also lead to a weapon. The same knowledge that can cure a disease can also be used to enhance it. There's no clean line between legitimate science and malicious intent.

Anthropic acknowledged this directly in its report: "We want our models to be useful for scientific research. Indeed, we predict that AI will transform biological science and lead to the rapid development of many new medical treatments."

But the company also noted that sophisticated threat actors know this. They understand that AI companies are trying to detect dangerous uses of their models. And they exploit the dual-use nature of biology to maintain what Anthropic called a **"plausible deniability"** about their research.

"Overt malicious intent is, therefore, often evidence that a particular actor is not all that sophisticated," the report states. "More sophisticated actors can hide their intent, extracting assistance from an AI model in interactions that look plausibly beneficial, but when put in context and analyzed holistically, can provide clear warning signs of misuse."

That's the terrifying part. The most dangerous actors aren't the ones asking blatantly nefarious questions. They're the ones asking questions that sound legitimate—until you look at the whole picture and realize what they're building.

---

## The Scale of the Problem: 35 Research Efforts in 30 Days

Anthropic said it identified approximately **35 "distinct research efforts"** with potentially concerning activity over a 30-day period. The company acknowledged it couldn't be certain whether the actors "intended harm" or were conducting research for legitimate scientific purposes.

It also said the individuals involved were "working scientists" but did not identify the research institutions or countries where the activities took place. The company is withholding names and locations because "identifying them or their labs could expose them to harm."

Andrew Weber, a senior fellow at the Council on Strategic Risks, called the case studies **"chilling examples of state-sponsored biological weapons developers tapping into the rapidly advancing capabilities"** of leading AI models.

---

## The Timing: A Resignation, a Warning, and an Industry in Crisis

The report didn't drop in a vacuum. It came the same week that **Jacob Coxon**, a 27-year-old researcher at Anthropic, announced his resignation.

Coxon had spent three years working on pretraining research—first at OpenAI, then at Anthropic. He left because he believes both companies are "gambling with our lives."

In a resignation thread on X, he wrote: **"The people building AI earnestly believe that it could kill us all by the end of the decade."**

He didn't stop there. In an interview with CNN's Anderson Cooper, Coxon said the technology could hack critical infrastructure—or build **"extinction-level bioweapons."**

"There's a lot of ways that the AI could actuate itself in the world," he said.

And then something remarkable happened. **Evan Hubinger**, Anthropic's alignment science lead—the person whose job is making sure AI doesn't go rogue—responded publicly. He didn't push back. He agreed. He said he personally estimates there's a **more than 10% chance** that AI could "kill all humans" within the next decade.

**Samuel Marks**, Anthropic's scalable oversight lead, added: **"In general, the more senior the employee, the more concerned they are."**

Read that again. The people who know the most about what's being built are the most scared of it.

---

## The Industry Is Policing Itself—For Now

Anthropic's report is remarkable for its transparency. But it also highlights a fundamental problem: **AI companies are largely policing themselves.**

The company said it shared its findings with government authorities and other AI labs. It urged governments and competitors to identify and prevent similar abuse. But there's no law requiring them to do this. There's no regulator checking their work.

The Trump administration has worked to undermine state AI regulations. Congress has been unwilling to rein in the technology. And the companies themselves are racing toward public listings—Anthropic is expected to begin marketing its IPO in mid-October, with a listing before the November midterms.

So let me get this straight. The safety researchers at these companies are saying there's a >10% chance their products could end humanity. The companies themselves are racing to go public. And the government isn't stepping in.

**"We believe the world would benefit from the industry adopting a lawful, verifiable way to work together to pace how we release powerful models,"** Anthropic said in a statement.

That's a call for regulation. From the company itself.

---

## What Anthropic Is Doing About It

To its credit, Anthropic is taking concrete steps.

The company said it has applied **"stronger safeguards that restrict access to a wide range of dual-use biological research queries"** in its more recent models, including Claude Fable 5.

It has banned all accounts associated with the malicious activity. It has dismantled the relay networks that evaded regional blocks. It has shared its findings with affected AI labs and government authorities. And it has incorporated its investigative findings into its frontier model safeguards, enforcement, and threat intelligence processes.

But Anthropic also acknowledged that older models—like Claude Opus 4 and Claude Sonnet 4.5 from 2025—"were well below the threshold where they could meaningfully assist a sophisticated user in carrying out dangerous biological research."

**"But for today's models—which are capable of assisting in a range of complex scientific research tasks—the evidence is no longer certain, and we cannot make that same assurance."**

That's the admission that matters. The models are getting more capable. The safeguards are getting stronger. But there's no guarantee that they'll stay ahead of the threat.

---

## What This Means for You

So why should you, an average American going about your day, care about any of this?

**First**, because this isn't theoretical. Anthropic isn't speculating about what *could* happen. It's reporting on what *did* happen. Real scientists, working at real institutions, used real AI models to conduct research that could have led to real biological weapons.

**Second**, because AI is already in your life. It's in your search results, your social media feeds, your customer service calls. And it's becoming more powerful by the month.

**Third**, because the decisions being made right now will determine whether AI develops safely or recklessly. And right now, the industry is policing itself.

**Fourth**, because the stakes couldn't be higher. As Andrew Weber put it, these are "chilling examples of state-sponsored biological weapons developers tapping into the rapidly advancing capabilities" of AI.

---

## The Bottom Line: The Genie Is Out of the Bottle

Anthropic's report is a wake-up call. It's the first public admission from an AI company that its models were being used in ways that could support biological weapons development. It's a stunning moment of transparency in an industry that's often criticized for opacity.

But it's also a warning. The dual-use nature of biology means there's no clean line between legitimate research and malicious intent. Sophisticated actors know this and exploit it. And as AI models become more capable, the risks will only grow.

**"As models become increasingly capable, their risks will increase, unless AI developers and society's defenders act to make them safer,"** Anthropic wrote.

The company is doing its part. It's blocking accounts, strengthening safeguards, sharing information. But it can't do this alone. And it knows it.

The question is whether anyone else will step up.

---

## Frequently Asked Questions (FAQs)

### 1. What exactly did Anthropic block?

Anthropic blocked multiple accounts that used its Claude AI models for research that could support biological weapons development. The cases involved gain-of-function research on the chikungunya virus, avian influenza research with pandemic potential, orthopoxvirus research (including smallpox and Mpox), bacterial toxins and viral hemorrhagic fever proteins (including Ebola), and novel venoms and toxins.

### 2. Is this the first time an AI company has admitted this?

Yes. According to Anthropic, "to our knowledge, no private company, AI or otherwise, has yet shared evidence of the potential misuse of their platforms for biological weapons development publicly."

### 3. Did the researchers actually develop bioweapons?

Anthropic says it disrupted every operation it identified before any weapons were developed. The company banned accounts, dismantled infrastructure, and shared findings with authorities. None of the cases involved Anthropic's most powerful models—Claude Mythos and Fable—with one exception related to model distillation.

### 4. What is "dual-use" research and why does it matter?

Dual-use research refers to scientific work that can be used for both beneficial and harmful purposes. In biology, the same research that can lead to a vaccine can also be used to enhance a pathogen. This makes it very difficult for AI companies to distinguish between legitimate scientists and malicious actors.

### 5. What is Anthropic doing to prevent future misuse?

Anthropic has applied stronger safeguards to its newer models, including Claude Fable 5, that restrict access to dual-use biological research queries. The company has banned associated accounts, dismantled evasion networks, and shared findings with government authorities and other AI labs.

### 6. Why is this report coming out now?

The report was published the same week that Jacob Coxon, an Anthropic researcher, resigned over safety concerns. Coxon warned that AI could "kill us all by the end of the decade." The report also follows months of growing concern about AI safety, including an open letter signed by nearly 1,400 AI company employees urging government regulation.

### 7. Should I be worried about AI bioweapons?

The experts who know the most about AI are the most concerned. Anthropic's alignment lead estimates a >10% chance of human extinction from AI within a decade. Geoffrey Hinton, the Nobel laureate known as the "Godfather of AI," says a 10% estimate is "not unreasonable." The risks are real and growing.

### 8. What should be done about this?

Anthropic is calling for the industry to adopt a "lawful, verifiable way to work together to pace how we release powerful models." The company acknowledges that AI developers and society's defenders need to act together to make models safer. Congress has introduced bills to regulate AI, but none have passed.

--Read more-

## Disclaimer

*This article is for informational and educational purposes only and does not constitute financial, investment, legal, or professional advice. The views expressed are based on publicly available information, including Anthropic's threat intelligence report, news reports, and official company communications as of September 2026. The field of AI safety is rapidly evolving, and the risks and probabilities discussed are estimates that may change. The author does not endorse any specific policy positions, investment strategies, or companies mentioned. Before making any decisions based on the content of this article, please consult with qualified professionals who can evaluate your specific situation.*

Wholesale Inflation Picked Up in August — And Energy Is the Only Thing That Matters

Wholesale Inflation Picked Up in August — And Energy Is the Only Thing That Matters

**The Producer Price Index rose 5.4% year-over-year in August, up from 4.8% in July. Diesel prices exploded 24.1% in a single month. Oil is back above $100. And the Fed is now almost certain to raise rates next week. Here's what's happening and what it means for your wallet.**

---

## The Number That Just Made Everything Harder

Let me give you the headline first, because it's the number that's going to dominate the conversation between now and next Wednesday.

The **Producer Price Index rose 5.4% year-over-year in August**. Economists were expecting 5.3%. It was just a tick hotter. But that tick matters.

On a monthly basis, PPI rose **0.4%**, matching expectations. Core PPI—which strips out food and energy—rose just **0.2%**, below the 0.3% forecast.

So the headline was slightly hot. But the core was actually cooler than expected. That sounds like a mixed bag. And in a normal world, it would be.

But we don't live in a normal world right now. We live in a world where **oil is above $100 a barrel**, the **Strait of Hormuz is effectively closed**, and the **Fed has been over its inflation target for 65 consecutive months**.

And that's why this report is such a big deal.

---

## The Energy Story: Diesel Went Absolutely Nuts

Here's where the real story is.

**Energy prices rose 4.2% in August**. That's the biggest driver of the monthly increase. And within energy, one line item stands out above everything else.

**Diesel fuel prices surged 24.1% in a single month**.

Let me put that in perspective. Diesel went from falling **17.8% in June** and **5% in July** to surging **24.1% in August**. That's one of the sharpest reversals you'll ever see in commodity pricing.

And diesel alone accounted for **more than a third of the entire increase in goods prices**.

The BLS sampling period only ran through August 11. That means this report didn't even capture the full impact of the oil surge that happened later in the month and into September.

"The inflation in the wholesale pipeline is going to move higher in September, and those gasoline and diesel prices will spread into the core," said Joseph Brusuelas, chief economist at RSM US.

In other words: the worst is yet to come.

---

## Why Diesel Matters More Than You Think

You might be thinking: "Diesel? I don't drive a diesel truck. Why should I care?"

Here's why you should care. Diesel is the fuel that powers the global economy.

**Trucks run on diesel**. Every product you buy—from groceries to clothing to electronics—spends time on a truck at some point. When diesel prices go up, shipping costs go up. When shipping costs go up, retailers pass those costs on to you.

**Freight trains run on diesel**. Trains are the backbone of long-distance shipping. Higher diesel costs mean higher rail freight rates.

**Construction equipment runs on diesel**. Every new home, office building, and road project gets more expensive when diesel spikes.

**Farm equipment runs on diesel**. Tractors, combines, and irrigation systems all burn diesel. Higher diesel costs mean higher food prices eventually.

And here's the kicker: **diesel prices at the pump hit an all-time high of $5.94 a gallon** last week. That's not a forecast. That's reality.

---

## The Oil Connection: A War That Won't End

So why is diesel so expensive? Because of the war.

Brent crude, the global oil benchmark, **topped $100 a barrel on Wednesday** and pushed above **$105 on Thursday**—its highest level since late May. West Texas Intermediate, the U.S. benchmark, crossed $100 as well.

The surge is being driven by the U.S.-Iran war, now in its **seventh month**. The Strait of Hormuz—through which a fifth of the world's oil normally flows—remains heavily disrupted. And now the Red Sea is a second front, with Houthi rebels in Yemen threatening shipping through the Bab al-Mandeb Strait.

This isn't a temporary spike. This is a structural shift. And every day the war continues, the pressure on energy prices builds.

---

## The Fed: Rate Hike Odds Just Hit 70%

Here's where it all comes together for the central bank.

Before the PPI report, markets were pricing in about a **64% chance** of a rate hike at the Fed's September 15-16 meeting. After the report? That jumped to **70%**, according to the CME FedWatch tool.

Some measures put it at **66%**. Prediction markets like Polymarket pushed it to **63%**.

But the precise number matters less than the direction. **The market is now convinced the Fed is going to hike next week**. And it would be the first rate hike since 2023.

"It's a close call, but we expect the Fed to hike," said Ellen Zentner, chief economic strategist at Morgan Stanley Wealth Management. "The Fed has been saying for months that it needs to see inflation come down, and it hasn't."

The Fed's benchmark rate currently sits at **3.50% to 3.75%**. A hike would take it to **3.75% to 4.00%**. And UBS has revised its forecast to expect **two hikes this year**—one in September and one in December.

---

## The Market Reaction: Stocks Slid, Yields Surged

The market didn't like what it heard.

The **Dow Jones Industrial Average fell 405 points**, or **0.77%**, to close at **52,380.66**. The **S&P 500 dropped 0.48%** to **7,636.36**. And the **Nasdaq Composite slid 0.64%** to **26,253.34**.

But the real action was in the bond market.

The **10-year Treasury yield climbed to 4.92%**—its highest level since November 2023. The **30-year yield hit 5.35%**, territory we haven't seen since 2007. And the **2-year yield**, the one most sensitive to Fed policy, spiked to **4.51%**.

That's the "good news is bad news" dynamic in full effect. Strong inflation data pushes yields higher, which pressures stocks, especially growth names. And the 2-year crossing 4.5% is a signal that the market is fully pricing in tighter policy.

---

## The AI Inflation Nobody's Talking About Enough

Here's a detail buried in the PPI report that deserves more attention.

**Electronic component costs jumped 3.4% in August** and are now up **27.6% year-over-year**.

That's the AI buildout showing up in inflation data. Data centers need memory chips, storage, networking equipment, and all the components that go into them. When demand for those components surges—as it has with the AI boom—prices go up.

This isn't just an energy story. It's an energy + AI story. And both are inflationary.

---

## What This Means for You

Let's bring this down to earth. What does all of this mean for your wallet?

**If you have a mortgage:** Rates are already near **6.9%**. If the Fed hikes next week, mortgage rates could push higher. If you've been waiting to refinance, the window is closing. If you're trying to buy a home, your monthly payment is getting more expensive by the day.

**If you have credit card debt:** Variable rates are tied to the Fed's benchmark. A hike means your minimum payments go up. The average credit card rate is already above 23%. It could climb higher.

**If you're invested in stocks:** The "good news is bad news" dynamic is back. Strong economic data raises rate hike odds, which pressures stock valuations. Growth stocks—especially tech and AI—are the most vulnerable.

**If you're just trying to pay your bills:** Gas prices are at record levels. Diesel is above $5.90 a gallon. Grocery prices are still rising. The inflation you feel at the pump and the checkout counter isn't going away anytime soon.

---

## The CPI Report: Friday's the Real Test

Everything now hinges on Friday's **Consumer Price Index** report for August.

Economists expect **headline CPI to rise 0.4% month-over-month**—the fastest monthly pace in three months. The annual rate is expected to ease slightly to **3.3%** from 3.4%. Core CPI is forecast to rise **0.2% monthly**.

Here's the split that matters: **headline reaccelerates on energy, core keeps grinding lower**. If that holds, the Fed might feel comfortable hiking once and pausing. If core CPI comes in hot, all bets are off.

"We were looking for data to come in softer than expectations," said Jim Lebenthal, chief equity strategist at Cerity Partners. "It wasn't soft enough."

That's not a comfortable position for the market. And it's not a comfortable position for the Fed.

---

## The Bottom Line: The Inflation Fight Isn't Over

Here's the sobering reality.

The PPI report was slightly hot. The core was actually cooler than expected. In a normal world, that would be a wash.

But we don't live in a normal world. We live in a world where **oil is above $100**, the **Strait of Hormuz is closed**, and the **Fed has been fighting inflation for over five years**.

The headline PPI at 5.4% is the highest annual reading of 2026. Diesel prices exploded 24.1% in a single month. And the market is now pricing in a **70% chance** of a rate hike next week.

"The Fed is on a knife's edge about whether or not to go at next week's meeting," said Christopher Hodge, chief US economist at Natixis. "Now that we've been over target inflation for 65 consecutive months, I think the Fed's sort of like, 'Enough is enough. We have to put our foot down at some point.'"

That's the message. The Fed is done waiting. It's going to act.

And for American families, that means higher borrowing costs, higher gas prices, and a longer, more painful fight against inflation.

The inflation fight isn't over. It's just entering a new phase.

---

## Frequently Asked Questions (FAQs)

### 1. What exactly did the August PPI report show?

The Producer Price Index rose **0.4% month-over-month** and **5.4% year-over-year** in August. The annual reading was slightly above the 5.3% forecast and up from July's 4.8%. Core PPI, which excludes food and energy, rose **0.2% monthly**—below the 0.3% estimate.

### 2. Why did wholesale inflation pick up?

The increase was driven almost entirely by **energy prices**, which rose **4.2% in August**. Within energy, **diesel fuel surged 24.1%** in a single month, accounting for more than a third of the increase in goods prices.

### 3. How much did diesel prices rise?

Diesel prices **surged 24.1% in August** alone, reversing two consecutive monthly declines. Gasoline, jet fuel, and home heating oil all rose in tandem.

### 4. What's driving oil prices higher?

The **U.S.-Iran war**, now in its seventh month, has disrupted shipping through the **Strait of Hormuz** and the **Red Sea**. Brent crude topped **$100 a barrel** on Wednesday and pushed above **$105** on Thursday—its highest level since late May.

### 5. What does this mean for the Federal Reserve?

The report significantly raises the odds of a rate hike at the Fed's September 15-16 meeting. Markets are now pricing in a **70% chance** of a 25-basis-point hike, up from 64% before the report.

### 6. How did the stock market react?

The **Dow fell 405 points** (0.77%), the **S&P 500 dropped 0.48%**, and the **Nasdaq slid 0.64%**. Treasury yields surged, with the 10-year hitting **4.92%** and the 30-year reaching **5.35%**.

### 7. What is the Fed's current interest rate?

The federal funds rate sits at **3.50% to 3.75%**. A hike next week would take it to **3.75% to 4.00%**, the first increase since 2023.

### 8. What should I watch on Friday?

The **Consumer Price Index** report for August. Economists expect headline CPI to rise **0.4% month-over-month** and **3.3% year-over-year**. Core CPI is forecast to rise **0.2% monthly**. A hotter-than-expected reading could push rate hike odds even higher.

---

## Disclaimer

*This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. The views expressed are based on publicly available data from the Bureau of Labor Statistics and other cited sources as of September 10, 2026. Inflation data, market conditions, and Federal Reserve policy are subject to rapid change. The author does not endorse any specific investment strategies or products. Past performance is not indicative of future results. Before making any financial or investment decisions based on the content of this article, please consult with qualified professionals who can evaluate your specific situation.*