Lending

2023 Rate Chaos Recap & Homebuyer Opportunity Rundown

5 mins read
March 30, 2023

By Julian Hebron, The Basis Point

No wonder lenders and consumers are spooked. 2022 rates began at 3.25%, peaked at 7.375% near Halloween, dropped to 6% in early February 2023, hit 7% by late February, and are now near 6.5%. What a ride. Do we get a spring homebuying bump now? Can the Fed beat inflation in 2023? Even if they do, are we just in a higher-rate era now? Can people even afford today’s home prices? And most important, what can all you lenders do about it? Let’s take a look.

Rate Volatility Recap January to March 2023

Let’s recap the wild rate ride in 2023 so far:

Rates dropped from 6.5% to 6% in January on optimism that the Fed’s rate hike medicine was going down, and inflation with it.

By February 2, Groundhog Day, 6% mortgage rates and lower home prices (see ‘Upside’ section below) gave some life to budding Spring homebuying.

But Punxsutawney Phil saw his shadow that day, and wintry rates rose back to 6.5% in a week.

First, it was January’s super strong jobs report on February 3. Then Fed chair Jay Powell and FOMC voting member Christopher Waller reminded markets, “we will stay the course until the job is done” on February 7 and 8.

By February 24, rates approached 7% when January Core PCE inflation – the Fed’s preferred measure – rose 20 basis points to 0.6% for the month. That’s 7.2% annualized!

Rates hit 7.125% by March 3 but dropped to 6.75% on March 10 as wage inflation eased.

Rates dropped further as the bank crisis drove investors into the safety of mortgage bonds, and entered the last week of March near 6.375%.  

What’s the Inflation & Rate Endgame for 2023?

Now, the Fed is balancing fights against inflation (higher rates) and bank contagion (lower rates).

On inflation, all major institutions have updated projections.

For example, Goldman Sachs now predicts year-end CPI at 3.8% (it’s 6% now) and Core PCE at 3.4% (it’s 4.7% now).

So, for now, the Fed’s 2% target feels less likely. Rate volatility is the only certainty in 2023.

Rates will rise if we get inflation surprises from Core PCE (March 31), wages (April 7), and CPI (April 12).

Rates will drop if inflation wanes, or if bank contagion tips off a recession.

The Fed has a nearly impossible job, and bank panic was in part tipped off by the Fed hiking too fast.

It’s caused net interest margins to invert for many banks and led to balance sheet issues for a few banks.

The Fed proceeded with a ninth straight hike on March 22, but markets are now betting on a pause for their May 3 rate policy meeting.

So what does this mean for homebuyers?

The Upside of Slower Home Sales 12 Straight Months

On March 21, we got February data saying existing home sales snapped a 12-month losing streak, rising 14.5% to 4.58 million units.

This reverse comes after rates hit the low-6% range during January, which is when people got into contract for February closings.

The upside of existing home sales slowing for a year:

Median existing home prices are $363,000, down $50,800 from a June 2022 peak of $413,800.

Homebuyers can afford a $363,000 median home price.

Monthly cost on a $363,000 home purchase with 5% down and a 6.5% rate would be $2881 (mortgage payment, insurance, taxes, mortgage insurance).

If your borrower had no other monthly debt, they’d qualify making $80k per year. If they had $600 in credit card, auto, and other monthly debt, they’d qualify making $97k per year.

Newly built homes also have lower prices, with today’s $438,200 median sale price down $58,600 from the October peak of $496,800.

Monthly all-in cost on a $438,200 home purchase with 5% down and a 6.5% rate would be $3456 (mortgage payment, insurance, taxes, mortgage insurance).

If your borrower had no other monthly debt, they’d qualify making $96k per year. If they had $600 in non-housing monthly debt, they’d qualify making $113k.

How to Warm Up Deals When Headlines are Coldest

There are millions of homebuyers who can afford these 43% debt-to-income ratio scenarios.

The Mortgage Bankers Association predicts 4.84 million new and existing home sales in 2023, of which 69% will be financed by you.

I present these scenarios at 6.5% because that’s the rate market reality today.

But rates with a 6 handle have so far proven more palatable for buyers and sellers. That’s when we can see weekly purchase loan applications rise.

So the playbook is long lead engagement.

First, you must “be the media” and use your marketing system to stay in front of customers with real-time market data on rates and local home prices.

Second, you must remind borrowers that home price declines will stop and maybe reverse as rates dip to 6% and below.

So getting pre-approved now, and making aggressive offers is the best path to success – and the first time in years that sellers are willing to make deals. Even with recent home price declines, sellers still gained $3.5 trillion in tappable equity from January 2020 to present.

Third, you must use customer intelligence to keep pre-approved borrowers from straying during their shopping process. Real-time alerts tell you if your sellers have listed their home, if your buyers have talked to other lenders, and let you re-engage all your clients to get them into their dream home.

Fourth, you must help your realtor partners engage these long-lead borrowers and do so in a compliant way.

Learn more about Total Expert’s Customer Intelligence solution and reach out to The Basis Point about the state of the market and your tech stack.

Resources

Related posts

AI

[Daily Mortgage News Podcast] Joe Welu Talks Agentic AI in the Mortgage Industry

mins read
Read more

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.

AI

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

mins read
Read more

*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.”

AI

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

mins read
Read more

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.  

Newsletter sign up

Subscribe for the latest updates and insights

Sign up
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
By clicking Sign Up you're confirming that you agree with our Terms and Conditions.