Connect with us

Finance

Why it may not be fair to say Fed made inflation 'mistake'

Published

on

Why it may not be fair to say Fed made inflation 'mistake'

A version of this post first appeared on TKer.co

In the context of inflation, was the Federal Reserve late to ? Most would agree the answer is yes.

But the Fed doesn’t have just one mandate of promoting price stability. It has a of promoting both price stability and maximum employment.

Taking employment into consideration, that the Fed was late to tighten monetary policy.

I can’t pinpoint exactly when the calls to tighten began when inflation was heating up three years ago. But we can all agree that these calls grew loudest ahead of the .

Advertisement

The core PCE price index — the Fed’s preferred measure of inflation — was at a high of 5.5% in March 2022. Clearly, inflation was a problem.

That same month, the unemployment rate was 3.6%, the lowest level since before the pandemic.

The unemployment rate effectively bottomed that month, mostly trending sideways as inflation rates cooled.

I generally don’t like considering counterfactual scenarios because the world is complex, and no one can say with certainty what would’ve actually happened in the past if certain things had gone differently. But since we continue to hear folks casually say that we would’ve been better off if the Fed acted earlier, I’ll indulge in the thought exercise.

What if the Fed hiked rates at its January 2022 meeting? Maybe our inflation mess would’ve ended a little sooner. But the unemployment rate was higher at 4%. Would we have been okay with the unemployment rate trending at 4%? Maybe.

Advertisement

What if we went back a little further, and the Fed hiked rates at its October/November 2021 meeting? The core PCE price index was increasing at about a 4.5% rate. Price-sensitive consumers would’ve been much happier to see inflation top out there. But the unemployment rate was higher at about 4.5%. Does the cost of keeping unemployment almost a full percentage point higher justify the benefit of keeping prices a bit cooler?

What if the Fed moved even sooner when the unemployment rate was even higher?

Here’s my point: While it’s fair to argue the Fed hiked rates too late in the context of inflation, I don’t think it’s fair to argue they made a mistake — especially when you consider the goals of monetary policy in their entirety, which include promoting maximum employment.

While high inflation is a headache for consumers, at least some of it was the result of newly employed people finally being able to afford to purchase goods and services.

Advertisement

Like I said before, the world is complex. So who knows? Maybe there’s a scenario where the Fed tightened monetary policy sooner and the unemployment rate continued to fall anyway as inflation cooled.

But the likely outcome of tighter monetary policy earlier in this economic cycle would have been unemployment bottoming at a higher level than what we’ve experienced.

FILE PHOTO: Federal Reserve Board Chairman Jerome Powell leaves after a news conference at the Federal Reserve Building in Washington, U.S., December 14, 2022. REUTERS/Evelyn Hockstein/File Photo

FILE PHOTO: Federal Reserve Board Chairman Jerome Powell leaves after a news conference at the Federal Reserve Building in Washington, U.S., December 14, 2022. REUTERS/Evelyn Hockstein/File Photo (Reuters / Reuters)

I’m not suggesting the Fed was right or wrong to adjust monetary policy when it did. I’m just saying that you cannot talk about how monetary policy actions affect inflation without addressing how they affect employment.

How about instead of proclaiming that the Fed was late in the context of inflation — which is not a controversial view — we instead tackle the of how we balance the tradeoff between price stability and employment. How many people is it okay to leave unemployed if it means improving price stability?

Over the past two and a half years, . And while the unemployment rate remains low by historical standards, it has been .

Advertisement

Last month when the unemployment rate was 4.3%, : “We do not seek or welcome further cooling in labor market conditions.“

“The time has come for policy to adjust,” he . It was one of the more explicit signals that rate cuts would begin soon, a development most market participants welcome.

Of course, there are also voices brushing off the rise in unemployment as they argue that the Fed should wait longer until inflation is defeated more definitively.

There were a few notable data points and macroeconomic developments from last week to consider:

The labor market continues to add jobs. According to the report released Friday, U.S. employers added 142,000 jobs in August. It was the 44th straight month of gains, reaffirming an economy with growing demand for labor.

Advertisement

Total payroll employment is at a record 158.8 million jobs, up 6.4 million from the prepandemic high.

The unemployment rate — that is, the number of workers who identify as unemployed as a percentage of the civilian labor force — declined to 4.2% during the month. While it continues to hover near 50-year lows, the metric is near its highest level since October 2021.

While the major metrics continue to reflect job growth and low unemployment, the labor market isn’t as hot as it used to be.

Wage growth ticks up. Average hourly earnings rose by 0.4% month-over-month in August, up from the 0.2% pace in July. On a year-over-year basis, this metric is up 3.8%, near the lowest rate since June 2021.

Job openings fall. According to the , employers had 7.76 million job openings in July, down from 7.91 million in June. While this remains slightly above prepandemic levels, it’s from the March 2022 high of 12.18 million.

Advertisement

During the period, there were 7.16 million unemployed people — meaning there were 1.07 job openings per unemployed person. Once a sign of , this telling metric is now below prepandemic levels.

Layoffs remain depressed. Employers laid off 1.76 million people in July. While challenging for all those affected, this figure represents just 1.1% of total employment. This metric continues to trend near pre-pandemic low levels.

Hiring activity continues to be much higher than layoff activity. During the month, employers hired 5.52 million people, up from 5.25 million in June.

People are quitting less. In July, 3.28 million workers quit their jobs. This represents 2.1% of the workforce. While up from the prior month, it remains below the prepandemic trend.

A low quits rate could mean a number of things: more people are satisfied with their job; workers have fewer outside job opportunities; wage growth is cooling; productivity will improve as fewer people are entering new unfamiliar roles.

Advertisement

Labor productivity inches up. From the : “Nonfarm business sector labor productivity increased 2.5% in the second quarter of 2024… as output increased 3.5 percent and hours worked increased 1.0%. … From the same quarter a year ago, nonfarm business sector labor productivity increased 2.7%.”

Unemployment claims ticked lower. declined to 227,000 during the week ending August 31, down from 232,000 the week prior. While this metric continues to be at levels historically associated with economic growth, recent prints have been trending higher.

Card spending data is stable. From Bank of America: “Total card spending per household was up 2.8% y/y in week ending Aug 31, according to BAC aggregated credit & debit card data. This increase was likely driven by the change in the timing of Labor Day compared to last year (09/02/24 versus 09/04/24). Within sectors, furniture saw the biggest increase since last week, while entertainment showed the largest decline.”

Gas prices fall. From : “After idling over the Labor Day weekend, the national average for a gallon of gas resumed its pace of daily declines by falling six cents since last week to $3.30. Key contributors are low gas demand and the plunging cost of oil, which is struggling to stay above $70 a barrel.”

Mortgage rates hold steady. According to , the average 30-year fixed-rate mortgage stood at 6.35% this week. From Freddie Mac: “Even though rates have come down over the summer, home sales have been lackluster. On the refinance side however, homeowners who bought in recent years are taking advantage of declining mortgage rates in order to lower their monthly payments.”

Advertisement

There are in the U.S., of which 86 million are and of which are . Of those carrying mortgage debt, almost all have , and most of those mortgages before rates surged from 2021 lows. All of this is to say: Most homeowners are not particularly sensitive to movements in home prices or mortgage rates.

Construction spending ticks lower. declined 0.3% to an annual rate of $2.16 trillion in July.

Services surveys look up. From S&P Global’s : “An improvement in the headline services PMI to its highest for nearly two-and-a-half years provides further encouraging evidence that the US economy is enjoying robust economic growth in the third quarter, adding to signs of a ‘soft landing’. The faster service sector expansion means the PMI surveys are signalling GDP growth of 2-2.5% in the third quarter. At the same time, the August survey data signaled a further cooling of selling price inflation, notably in the service sector, which has now eased close to the average seen prior to the pandemic and a level consistent with the Fed’s 2% inflation target.”

Manufacturing surveys don’t look great. From S&P Global’s : “A further downward lurch in the PMI points to the manufacturing sector acting as an increased drag on the economy midway through the third quarter. Forward-looking indicators suggest this drag could intensify in the coming months. Slower than expected sales are causing warehouses to fill with unsold stock, and a dearth of new orders has prompted factories to cut production for the first time since January. Producers are also reducing payroll numbers for the first time this year and buying fewer inputs amid concerns about excess capacity.”

Similarly, the ISM’s signaled contraction in the industry.

Advertisement

Keep in mind that during times of perceived stress, soft survey data tends to be more exaggerated than hard data.

Factory orders jump. According to the , new orders for manufactured goods rose 5% to $592.1 billion in July.

Key recession indicators point to growth. Here’s a from economist Justin Wolfers tracking the trajectory of key measures of economic activity.

Near-term GDP growth estimates remain positive. The sees real GDP growth climbing at a 2.1% rate in Q3.

We continue to get evidence that we are experiencing a where inflation cools to manageable levels .

Advertisement

This comes as the Federal Reserve continues to employ very tight monetary policy in its . Though, with inflation rates having from their 2022 highs, the Fed has taken a less hawkish tone in , even signaling that .

It would take monetary policy as being loose, which means we should be prepared for relatively tight financial conditions (e.g., higher interest rates, tighter lending standards, and lower stock valuations) to linger. All this means for the time being, and the risk the into a recession will be relatively elevated.

At the same time, we also know that stocks are discounting mechanisms — meaning that .

Also, it’s important to remember that while recession risks may be elevated, . Unemployed people are , and those with jobs are getting raises.

Similarly, as many corporations . Even as the threat of higher debt servicing costs looms, give corporations room to absorb higher costs.

Advertisement

At this point, any given that the .

And as always, should remember that and are just when you enter the stock market with the aim of generating long-term returns. While , the long-run outlook for stocks .

A version of this post first appeared on TKer.co

Finance

The CFO who turned Adobe’s finance department into an AI lab | Fortune

Published

on

The CFO who turned Adobe’s finance department into an AI lab | Fortune

Finance chief Dan Durn is turning Adobe’s finance organization into an early proving ground for agentic AI—using autonomous software agents to forecast results, scan contracts, and even answer hundreds of thousands of emails.

The push mirrors Adobe’s broader strategy around agentic AI. For customers, the company lets them choose models, combine them with their own data and Adobe’s, and point agents at specific business outcomes.

Internally, Durn, who is also in charge of technology, security and operations, has taken a similar approach to finance: pairing a rules-based, data-heavy function with AI, within a structure where finance, IT, and security report to one leader so pilots can move to production quickly. “Accuracy is non-negotiable,” he adds; that’s why Adobe is investing in structured data and governance so it can move fast without sacrificing precision, he says. 

The rise of AI is rapidly reshaping corporate leadership, accelerating turnover and elevating executives who can deliver fast, tangible results. Even long-tenured leaders face increasing pressure from investors to move aggressively on AI. Recent leadership changes, including the announced retirement of Adobe CEO Shantanu Narayen, highlight how little patience markets now have for perceived hesitation. At the same time, Adobe reported that annualized revenue from its AI-first products more than tripled year over year in its first quarter of fiscal 2026, which ended Feb. 27. Across Fortune 500 companies, this dynamic is creating a new internal proving ground where executives are judged by how effectively, and how quickly, they deploy AI to drive growth, efficiency, and innovation.

Using AI in finance

Inside finance, Durn groups AI use into three buckets: forecasting, anomaly detection, and general productivity.

Advertisement

For forecasting, AI uncovers patterns and signals in data that would be difficult for humans to detect quickly, he explains. Anomaly-detection agents flag performance that’s unexpectedly strong or weak—“things that can get lost in the sea of data”—so finance can intervene faster, he says.

However, Durn says the best examples now sit in productivity, citing three use cases:

1. Extracting information from PDFs

One of the most developed use cases involves “containers” of information—collections of PDFs such as investor transcripts, quarterly reports, and analyst research. Finance teams use Adobe’s PDF Spaces to load documents into a shared digital workspace and use an agentic AI assistant to surface themes, insights, and messaging cues in minutes rather than hours.

A recent Forrester TEI study found Acrobat’s agentic AI Assistant increases efficiencies in document summarization and analysis by 45%. Durn says that matters because “the world’s information lives in PDF,” and AI that turns static content into insights that can be used.

Advertisement

2. Cutting contract review time in half

Adobe is also using agentic AI to overhaul contract reviews across finance and procurement functions including revenue assurance, contract operations, product fulfillment, and vendor management. Instead of finance professionals combing through every clause, an AI assistant scans thousands of contracts, highlights provisions relevant to each function, and flags non-standard terms.

The system has cut review time roughly in half, speeding individual reviews and allowing teams to query the entire contract repository—for example, identifying which contracts include auto-cancellation features or foreign-exchange adjustment windows, Durn says. Adobe built its first prototype by April 2024 and began onboarding teams in January 2025.

3. Automating “common” inboxes

A third area is the “common inboxes” that handle high-volume internal and external email—shared addresses for sales, treasury, finance, and supplier questions. Adobe deployed an agentic AI assistant that auto-tags, prioritizes, routes, and, when criteria are met, auto-responds to emails. Typical queries include supplier billing issues or standard credit-quality questions coming into the treasury from Salesforce.

Advertisement

“In 2025 alone, the system auto-responded to about 300,000 emails across 19 inboxes, saving more than 5,000 hours of manual work and freeing teams to focus on more complex issues,” he says. The tool took about six months to build; beta teams began using it around August 2024, with full rollout in January 2025.

The payoff, he stresses, isn’t headcount cuts but the ability to scale more efficiently as Adobe grows.

Grassroots ideas, decade-long build

Durn traces these finance use cases to Adobe’s long AI journey and a bottom-up idea pipeline. The company has invested in machine learning and AI for more than a decade, initially to understand customer usage patterns and embed intelligence into products—work that laid the groundwork for generative and agentic AI.

Many of the best applications come from “reaching down into the organization” and asking employees where AI could remove friction or make their jobs easier, he says. There are more ideas than capacity, so the team prioritizes those with the greatest impact.

When deciding whether to green-light AI investments, Durn focuses on organizational velocity—the ability of back-office functions to keep pace with faster product innovation. If finance doesn’t adopt AI, he argues, it risks becoming a “rate limiter of growth.”

Advertisement

The actual spend is modest, he adds; much of the work involves change management and process redesign layered onto Adobe’s technology.

Durn’s perspective on change management coincides with new research from McKinsey. To capture the full value of AI, organizations need to go beyond “a piecemeal approach and push for a double transformation—both technical and organizational—that includes reimagining how work gets done across functions and workflows,” according to the report. While 88% of organizations surveyed are now experimenting with AI, fewer than 20% report tangible bottom-line results,, the research finds.

How AI is changing his own job

For his own workflow, Durn relies on AI primarily for insight generation. Ahead of earnings, his team loads pre-earnings research reports, Adobe filings, and peer transcripts into an AI-powered workspace to surface themes and likely investor questions.

Scripts and Q&A preparation are then run through models with guardrails to test whether messaging addresses those themes and to ask, “If I were an investor, what are my key takeaways?”

He sees it as a useful check on clarity and consistency—using AI to validate instincts and sharpen how Adobe communicates with the market.

Advertisement
Continue Reading

Finance

UST Finance Students Compete on Global Stage in CFA Research Challenge

Published

on

UST Finance Students Compete on Global Stage in CFA Research Challenge

A select team of students from the University of St. Thomas’ Cameron School of Business has officially launched its bid for the FY 2025–2026 Texas Region CFA (Certified Financial Analyst) Institute Research Challenge, a prestigious competition often referred to as the “Investment Olympics” for university students. 

The CFA Institute Research Challenge is an annual competition that provides university students with hands-on mentoring and intensive training in financial analysis. The competition tests students’ analytical, valuation, report writing and presentation skills, challenging them to take on the role of real-world research analysts. The 2025–2026 cycle involves more than 6,000 students from more than1,000 universities worldwide. 

Representing UST, the team is comprised of Team Captain Chih Jung Ting, MSF; Vice-Captain Daria Kostyukova, BBA/MSF; Reginald Paolo Laudato, BBA/MSF; Simon Wong, BBA in Finance; and Anjali Sebastian, BBA in Finance. 

Anjali Sebastian

The team of five students has been selected to conduct an exhaustive equity analysis of a target company, competing against top-tier universities from around the Texas area. 

“Taking part in the CFA Research Challenge has been the most intense and rewarding experience of my academic career,” said Chih Jung Ting, team captain. “We aren’t just reading case studies anymore—we are digging into real balance sheets, forecasting real economic shifts, and learning how to defend our ideas under pressure. It’s given us a true taste of what it means to be an analyst.” 

The team is supported by Department Chair of Economics and Finance Dr. Joe Ueng, CFA, and faculty advisor Dr. Dan Hu. Assisting the team was industry mentor Matt Caire, CFA, CFP®, CMT from Vaughan Nelson, a seasoned professional who provides guidance on the intricacies of equity research. 

Advertisement

“Our participation in the CFA Research Challenge is a testament to the caliber of our students and the strength of our curriculum,” said Dr. Ueng. “By applying advanced financial theory to a live market scenario, our students demonstrate that they are not just learners, but emerging professionals ready to contribute to the global financial community. We are incredibly proud of their dedication to academic excellence.” 

Dr. Sidika Gülfem Bayram, the Cullen Foundation Endowed Chair of Finance and UST associate professor of Finance said participating in the CFA Research Challenge this year creates a pivotal moment for UST students.  

“I’m impressed to see our students apply their curriculum knowledge to meet the depth and vast nature of the analysis required in such a fierce competition,” Dr. Bayram said. “I’m so proud of the effort the students put into the challenge.” 

This year, the team has been tasked with analyzing Green Brick Partners, a publicly traded company in the consumer cyclical sector. During the past several months, the students have dedicated more than 150 hours to conducting a deep-dive analysis of the company’s business model and industry position, interviewing company management and financial experts, building complex financial models to determine the stock’s intrinsic value, and compiling an “Initiation of Coverage” report with a buy, sell or hold recommendation. 

“Participating in the CFA Research Challenge allows our students to bridge the gap between classroom theory and the fast-paced world of investment management,” said Dr. Hu. “It demands a level of rigor and professional ethics that prepares them for the highest levels of the finance industry.” 

Advertisement

The team will presented its findings and defended its recommendation before a panel of judges from leading investment firms at the CFA Society local final in late February. Winners of the local competition will advance to the subregional and regional rounds, with the goal of reaching the global finals in May 2026. 

';

Continue Reading

Finance

Town Finance Director To Step Down In April

Published

on

Town Finance Director To Step Down In April

Nantucket’s municipal finance director Brian Turbitt has announced his resignation and will leave his position with the town on April 21st.

“With mixed emotion, I have submitted my resignation from the position of Town of Nantucket Director of Municipal Finance, effective April 21, to pursue an opportunity off-island,” Turbitt wrote in a message to the Current. “I have thoroughly enjoyed working with Town Manager Libby Gibson and her administration during the past 12 years and am extremely proud of all we have accomplished as a team. My time on Nantucket has been the experience of a lifetime, and one for which I am truly grateful and will never forget.”

Turbitt told the Current that despite his resignation, he will still attend the Annual Town Meeting in his current role on May 4th. Turbitt often presents and defends many of the town’s budget requests during the meeting, which falls just weeks after his scheduled departure date.

As the town’s chief financial officer, Turbitt oversees the town’s budget, guiding the $170 million operation. Turbitt has been with the town since 2014, but his 12-year tenure will end next month.

Continue Reading

Trending