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4 Reasons 2022 Inflation Spike Won’t Kill U.S. Economy

5 mins read
April 12, 2022

By Julian Hebron, The Basis Point

There are only two other times in modern history when consumers have been more financially anxious than they are now, and inflation is their main worry as the second quarter kicks off. This begs the question: will the 2022 inflation spike kill the economy for consumers? Short answer: no.  

Consumer Financial Anxiety Requires Education  

Thirty-two percent of Americans worry that inflation will hurt their finances in 2022, according to the University of Michigan consumer sentiment index. Consumer sentiment was only worse in two other periods: the March 1979 to 1981 recession and the peak of the global financial crisis in 2008.

Financial headlines can be confusing to consumers. Headlines are louder, more frequent, and less informed in the social era. Still, we can’t dismiss how consumers feel about their financial prospects. Instead, we must educate them, and below is a four-part strategy.  

The 2022 Inflation Spike Drops by 2023

Here’s the basic cycle of consumer sentiment right now:  

  1. Consumers are ignited by headlines of rising prices for gas and essential items.
  1. Politicians fuel this fire and fear by blaming it on other politicians.  
  1. It becomes a populist tire fire when famous rappers joke how they were robbed at the gas station.

Worry is warranted if inflation was expected long term, but it’s not. Here’s the inflation outlook that most headlines skip:

  • Today, annualized CPI inflation is 7.9%. Goldman Sachs expects this will cool to 5.6% by year-end 2022 and to 2.8% by year-end 2023. Wells Fargo expects this will be a similar 7.5% by year-end 2022 and cool to 2.6% by year-end 2023.
  • CPI inflation gets all the headlines but has less influence on the Fed, which prefers PCE inflation because it tracks more goods people buy, and does a better job tracking how people adjust spending when prices change.
  • Today, annualized Core PCE – the inflation measure that most influences Fed rate policy – is 5.4%. Goldman predicts this will cool to 3.9% by year-end 2022 and to 2.4% by year-end 2023. Wells Fargo expects this will cool to 4.9% by year-end 2022 and cool to 3.0% by year-end 2023.
  • If this happens, inflation could normalize much sooner than anxious consumers think.

Fed Inflation Fighting Playbook in 2022

To bring inflation down to these estimated 2023 levels, the Fed has begun raising short-term bank-to-bank lending rates. In late-March 2022, The Daily Shot summarized this Fed playbook well, noting:  

“Eight 25 bps hikes are now fully priced in (nine including the one this month). Of course, there aren’t eight additional Federal Open Market Committee (FOMC) meetings this year, which means we will get a few 50 bps hikes along the way.”

That the targeted Fed Funds Rate has been 0.25% since COVID hit the U.S. two years ago. The March 16, 2022 rate hike, noted above, brought that rate up to 0.5%.  

The Fed had also been buying mortgage bonds to keep rates low since 2009. It ended that buying in the first quarter of this year.

Near-zero rates and years of bond buying have supported consumers, and businesses, well through a post-financial crisis economy plus a pandemic.

2Q22 Mortgage Rate Spike is Early Reaction to Fed Playbook

But reversing this stimulus is jarring at first. By “fully priced in,” the note above means bond markets have already reacted strongly to Fed moves.  

For example, mortgage rates have risen almost 2% in 2022 – from low-3% in December to around 5% now.  

Mortgage rates rise when bond prices drop in a selloff, and bonds have sold off in 1Q22 as investors see less Fed bond stimulus and more Fed rate hikes.

Bond investors also hate inflation because it erodes future returns, so this has also contributed to bonds selling and rates rising.

But if lower inflation outlooks for 2023 hold true, this 2022 rate spike may moderate.

About That Inverted Yield Curve & Recession

Another anxiety-producing narrative is about an inverted yield curve leading to recession. It goes like this:  

  • The Fed hikes overnight bank-to-bank rates from 0.25% early-2022 to 2.75% early-2023.
  • This causes 2 Year Note yields to spike more (now near 2.29%).
  • This could make 2 Year Note yields higher than 10 Year Note yields (now near 2.34%).  
  • Inverted yield curves where short rates exceed long rates often signal recessions.  

This is a valid narrative, and it’s definitely fueling headline fires right now.  

But most economic growth outlooks peg inflation-adjusted GDP at around 3% for 2022 and 2.5% for 2023.  

This GDP growth is in line with pre-pandemic years, and while 2023 GDP growth projections decrease, a recession is when inflation-adjusted GDP goes negative, and no major projections call for that.

2022 Inflation Won’t Kill the Economy

It’s unsurprising consumers are frightened by today’s headline inflation figures. We can expect politicians to stoke inflation fears more in 2022. And who’s not going to click on inflation jokes from clever celebrities?

But I hope the four themes and supporting data above help you cool things down for your customers and team members. You can be sure I’ll be watching that consumer sentiment figure for you as this plays out.  

These datasets are updated all the time, so you can follow along at The Basis Point.  

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Total Expert Founder & CEO Joe Welu recently joined Robbie Chrisman for an episode of the Daily Mortgage News podcast where they discussed the current (and future) state of the mortgage industry, challenges facing lenders and loan officers, and the solutions that AI-enabled tools can provide in difficult markets.

Agentic AI is reshaping loan officer productivity and customer engagement. With Total Expert’s new AI Sales Assistant, lenders can automate lead incubation and qualification—achieving human-like conversion rates in weeks, not months. Joe also highlights the power of voice AI to revive aged leads, trigger refinance opportunities, and prevent deals from falling through the cracks, all without the need for massive call centers and without removing loan officers’ ability to build authentic human connections with borrowers and homeowners.

That’s because AI-enabled tools are designed to reduce the administrative and repetitive tasks that take you away from what you do best: advising customers and guiding them toward the best possible financial outcomes. Joe also shares insights on selecting AI partners wisely, managing data responsibly, and capitalizing on both front- and back-office efficiencies. As the AI arms race heats up, Total Expert aims to empower originators—not replace them.

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The Loan Officer’s New Co-Worker: Total Expert’s AI

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*This article was reposted from HousingWire.com*

In this exclusive interview, Joe Welu, Founder & CEO of Total Expert, shares the company’s latest advances in AI. He focuses on lessons learned from their pilot program and explores how AI is delivering a measurable lift in operational efficiency and lead conversions across lending teams.

Beyond internal improvements, Joe reveals Total Experts’ focus on the borrower experience and how their technology is designed to supercharge loan officers, not replace them. Joe shares with Allison LaForgia his forward-looking perspective on the innovations expected in the near future that will continue to drive Total Expert’s leadership in mortgage technology.

“We anticipated… it would probably take maybe nine months to a year to be able to get to parity with a human… and we’re blown away. It happened within two weeks,” Welu said. The voice AI agent, designed to qualify leads through inbound and outbound calls, is now handling more than 2 million calls a month, with multiple lenders, in various stages of scaling.

Welu attributes the rapid progress to the unprecedented pace of innovation in AI. “It’s like nothing anyone’s ever seen before… there’s hundreds of billions, if not soon trillions, being invested in infrastructure and large language models… we get the opportunity to build on top of those capabilities and reimagine what we can do in our industry.”

The pilot program, he said, was rooted in an iterative approach with tight feedback loops. “As we learn… it gives us information, and we make adjustments… A key thing we’ve learned with AI projects… get really super clear about what it is in the business that you are improving. Give them that target… so it’s not this ambiguous sort of black box.”

The results have been measurable: “We are seeing, in some cases, 10 to 20% better conversions,” Welu said. AI’s consistency is a major factor. “It always remembers to call people back… never calls in sick… works weekends… It allows you to take your great people and… have them doing the most highly productive work possible.”

Borrower experience is also improving. “One of the pleasant surprises… is the quality of the experience to the end consumer,” he said. Whether or not lenders disclose that a caller is AI, “the quality of the interaction is so high, they continue down the path.” The AI agent maintains “the right tone… the ability to match… the tempo of the conversation” while instantly tapping into contextual customer data.

Welu emphasized that Total Expert’s AI is designed to “supercharge,” not replace, loan officers. “There are still moments where consumers want high quality advice… Our goal is to take a loan officer and put them in a position where they are spending… the majority of their time having the highest quality conversations… and abstracting away things that don’t add value.”

Looking ahead, Total Expert’s roadmap focuses on intentional, scalable AI. “We think about getting super clear on… use cases, and partnering with people that are going to be as obsessive as you are, about making it great,” Welu said. Over the next year, customers can expect new capabilities in customer intelligence, lead management, and additional AI-driven use cases. “Seeing it all come together is what gets me up and excited every day.”

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AI Revolution: From “Discovering Fire” to Real Business Outcomes

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By: Joe Welu, Total Expert Founder & CEO

Best Practices for Executive Teams Deploying AI in Financial Services

The AI revolution feels like humanity just discovered fire—and everyone is racing to see what they can ignite.

That means a rush of AI pilots and proofs-of-concept across all industries, many of which launched without evaluating each use case against actual business value.

As I meet with CEOs and executive teams from leading mortgage lenders and financial institutions, the conversation has shifted from “What can AI do?” to “How do we deploy AI responsibly, at speed, and with measurable impact?”

The market leaders I work with are outpacing competitors by following a remarkably consistent playbook. They’re not just testing AI, they’re embedding it across their organizations with purpose, speed, and discipline.

Below, I’ve distilled the best practices I’ve observed from the institutions getting the most from AI today.

Anchor AI strategy to business outcomes

Tie every AI initiative to a clear business priority—whether it’s loan growth, customer retention, or operational efficiency.

Define KPIs, ROI targets, and adoption metrics before a project begins. No project should exist without a measurable path to value.

Start with high-impact, low-friction wins

Focus first on areas where a proof of concept or pilot is feasible within 30-60 days. Conversational and Voice AI solutions provide many options for pilot use cases. Other common use cases involve document classification, predictive churn modeling, or intelligent lead scoring. These early wins build momentum, prove ROI, and prepare teams for more complex deployments.

Invest in data quality and governance early

AI is only as good as the data feeding it.

Start by creating a single source of truth for customer and loan data. Then, anticipate obstacles to deploying AI with your data, such as consumer consent and preference management, and start addressing these things ASAP. Investing in tools like Customer Intelligence will help enrich your data and increase its value.  

Embed compliance and risk management from day one

Regulations such the Gramm-Leach-Bliley Act (GLBA), TCPA (Telephone Consumer Protection Act), and UDAP (Unfair, Deceptive, or Abusive Acts or Practices) will be a few key areas where regulators dig in and look for companies cutting corners.

Create a cross-functional AI task force

Bring together leaders from product, compliance, data science, operations, and customer experience. Avoid siloed pilots—alignment ensures every initiative supports the broader business strategy. Include change management expertise to drive adoption, not just deployment.

Prioritize customer experience and trust

Every organization has gaps in their customer journey and can benefit from leveraging AI to provide human-like touch points throughout the experience. Use AI to remove friction, improve transparency, and deliver personalization at scale. Keep humans informed about high-stakes decisions and be transparent with customers about how AI is used and how their data is protected.

Build for integration, not isolation

Select AI solutions that integrate seamlessly with your CRM, LOS, core banking systems, and data lakes. Use APIs and modular architectures to avoid “AI silos” that slow scale and ROI.

Focus on talent and change management

Embracing AI with a growth mindset should be table stakes. Incentivize adoption so teams see AI as an enabler—not a threat to their roles. Upskill executives and frontline teams in AI literacy. When needed, recruit or partner for deep ML and data science expertise.

Measure, monitor, and iterate

AI is not a one-and-done project—it’s a living product. Track performance, user adoption, and ROI continuously, and refine models quarterly to maintain accuracy and relevance.

Choose the right tech partners: favor vertical specialists

Partner with vendors who understand financial services—especially your unique customer journeys or workflows. Deep domain understanding on core systems, database schemas, compliance, and other nuances will be a key factor in the results you achieve.

Benefits of vertical-focused partners:

  • Deep understand of unique data sets and customer profiles
  • Faster implementation with industry-specific models
  • Built-in regulatory and risk controls
  • Product roadmaps aligned to lending and banking trends

Horizontal AI tools have their place, but without deep domain expertise, they often require heavy internal customization and a slower time to value.

The future is here

AI today is not the same as the project in 2018 that failed to deliver those operational efficiencies in the back office everyone was promised. Its potential to transform nearly every part of our businesses is becoming increasingly clear. Every day you delay, competitors are building up their capabilities and you will struggle to catch up. As one of my investors put it bluntly, “Every day you fail to execute a comprehensive AI strategy, the value of your business goes down.”  

To learn more about how Total Expert is working with our customers on high-impact AI initiatives, please reach out to our team.  

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