The AI Capital Boom Is Reshaping the Economy – But Will Small Businesses Get Left Behind?

As a small business owner, staying informed about financial trends isn’t just useful – it’s essential to protecting cash flow, accessing capital, and making smart growth decisions. Each week, Doxa Legacy Advisors examines the forces shaping the capital markets and translates them into what they actually mean for small business owners.

This week, one of the biggest stories in the economy isn’t simply inflation or interest rates.

It’s where capital is going.

Artificial intelligence has triggered an extraordinary investment cycle. Billions of dollars are flowing into data centers, chips, cloud infrastructure, energy, software, and other AI-related assets.

Federal Reserve Chair Kevin Warsh highlighted the scale of that transformation in his Jackson Hole address today, noting that business investment in equipment and intangible assets has been growing at roughly 9% over the past year – the strongest pace since 2021 – and that more than half of this year’s capital-expenditure growth can likely be attributed to the AI buildout.

That’s a remarkable amount of capital chasing one technological transformation.

For small business owners, however, it raises a different question:

When enormous amounts of investment capital are flowing toward AI and large corporations, what happens to Main Street’s access to capital?

📊 Market Overview for the Week

The Economy Is Growing – but More Slowly

Fresh data released this week provide an important backdrop.

The U.S. Bureau of Economic Analysis estimates that real GDP grew at a 1.5% annualized rate during the second quarter, down from 2.1% in the first quarter.

Consumer spending, exports, and investment contributed to growth, while government spending declined.

That isn’t a recession.

But it is an economy growing at a considerably slower pace.

For small businesses seeking capital, slower growth matters because lenders don’t underwrite the economy in isolation. They underwrite a borrower’s ability to generate enough future cash flow to repay debt.

A lender considering an expansion loan today has to ask:

Will the additional demand necessary to support this expansion actually materialize?

That makes projections, market assumptions, and the intended return on borrowed capital increasingly important.

🤖 Current Affairs: An Extraordinary Amount of Capital Is Flowing Into AI

Chair Warsh’s Jackson Hole remarks offered perhaps the clearest acknowledgment yet from the Federal Reserve of just how significant the AI investment cycle has become.

He described AI as a potential new factor of production and noted that enormous pools of capital are flowing into AI infrastructure.

The Fed is now explicitly considering whether AI could produce a sustained increase in U.S. productivity, how it will affect employment, how capital-intensive future models will become, and – critically – where the financial returns from this investment ultimately accrue.

Those questions aren’t academic.

They could reshape small business finance.

💰 We May Be Entering a Capital Allocation Divide

Imagine two businesses approaching capital markets.

One is building infrastructure connected to AI, cloud computing, data centers, energy generation, semiconductor production, or automation.

The other is a traditional small business seeking $300,000 to open another location.

Both may be excellent businesses.

But capital markets don’t allocate money equally.

Capital tends to flow toward sectors where investors believe the highest future returns exist.

Right now, AI is attracting an enormous share of that attention.

For publicly traded companies, venture-backed technology firms, infrastructure developers, and private-equity sponsors, that can mean abundant investment.

For Main Street businesses, the funding equation remains much more traditional:

Cash flow. Collateral. Creditworthiness. Debt-service capacity.

That distinction could become increasingly important.

🏦 The Fed Just Complicated the Interest-Rate Outlook

At the same time that AI investment is accelerating, small businesses face another challenge.

Inflation isn’t cooperating.

The latest PCE inflation report released this week showed prices 3.7% higher than a year earlier in July, unchanged from June and still substantially above the Federal Reserve’s 2% objective.

Chair Warsh reinforced that concern today.

He said the Fed must be confident that underlying inflation is moving clearly and sufficiently quickly toward 2%. Otherwise, in his words, policymakers still have work to do.

Financial markets immediately reacted.

Following his remarks, the two-year Treasury yield jumped and market expectations for a September rate increase rose from roughly 35% to around 60%.

That changes the conversation for small businesses.

Earlier this year, many owners were planning around the possibility of cheaper money.

Today, the possibility of another rate increase is back on the table.

📈 AI Could Eventually Lower Inflation – but There Is a Timing Problem

There is another fascinating dimension to the AI story.

If AI meaningfully increases worker productivity, businesses could eventually produce more goods and services with fewer resources.

Higher productivity can support stronger economic growth without necessarily producing equivalent inflation.

That would be positive for small businesses.

AI could help smaller companies:

Automate administrative work
Reduce labor-intensive processes
Improve customer service
Analyze financial data
Increase marketing productivity
Improve inventory forecasting
Reduce back-office costs

But productivity benefits don’t arrive instantly.

The economy is currently experiencing the investment phase.

Data centers must be constructed.

Power generation must expand.

Semiconductors must be produced.

Technology infrastructure must be financed.

Workers must be trained.

Businesses must implement the technology.

That means AI could eventually become deflationary or productivity-enhancing while simultaneously creating enormous capital demand today.

Chair Warsh acknowledged precisely this uncertainty, asking when productivity benefits will appear and whether future AI models will require even greater capital intensity.

⚠️ Small Businesses Face a Different AI Financing Problem

Large companies can finance AI investment through:

Corporate bonds
Equity markets
Private credit
Internal cash flow
Venture capital
Strategic partnerships

Most small businesses cannot.

A small business adopting AI typically has to finance implementation through existing operating cash flow or conventional business financing.

That creates an important capital-planning question:

Should technology investment be treated as an expense – or as an investment expected to produce measurable financial returns?

Increasingly, lenders may want to know the answer.

If a company borrows $100,000 to implement automation, the owner should be able to explain what that investment produces.

Does it:

Reduce payroll expense?
Increase production capacity?
Improve customer acquisition?
Shorten fulfillment times?
Increase gross margins?
Allow the business to serve more customers without proportionately increasing headcount?

That’s a much stronger financing story than simply saying:

“We’re investing in AI.”

💳 The New Capital-Readiness Question: What Is Your Productivity Strategy?

For years, lenders have evaluated businesses primarily around historical financial performance.

That won’t disappear.

But today’s economic environment is adding another dimension:

How efficiently can the business convert capital into growth?

Consider two companies seeking identical $500,000 expansion loans.

Company A needs the money to add employees and overhead before revenue grows.

Company B plans to invest in technology and equipment that allows existing employees to generate substantially more revenue.

Assuming comparable financial strength, Company B may ultimately present the stronger credit story.

Why?

Because productivity creates operating leverage.

And operating leverage can improve debt-service capacity.

👥 There Is Also a Workforce Dimension

AI investment isn’t only changing technology budgets.

It could change labor economics.

Chair Warsh specifically raised the question of whether AI usage will complement workers or compete with them.

Small businesses should therefore begin thinking beyond simple headcount planning.

The strategic question becomes:

Which activities require people, which can be automated, and where does technology allow existing employees to produce more value?

That distinction could eventually influence everything from hiring decisions to operating margins – and therefore borrowing capacity.

💼 What This Means for Small Business Access to Capital

The emerging environment could create three categories of businesses.

1. Technology-Enabled Businesses

Companies using technology to increase margins, efficiency, or capacity may become increasingly attractive borrowers because they can demonstrate productivity improvements.

2. Technology-Neutral Businesses

Businesses that aren’t heavily affected by AI can remain highly financeable if their cash flow and fundamentals are strong.

3. Technology-Vulnerable Businesses

Companies operating inefficiently in industries where competitors are rapidly automating may eventually face more difficult underwriting questions.

Lenders don’t necessarily need businesses to become technology companies.

But they do need borrowers to remain competitive.

That’s an important distinction.

📉 Meanwhile, Consumers Are Becoming More Careful

The latest economic data reinforce why efficiency matters.

Personal income increased 0.4% in July, while consumer spending increased just 0.2%. The personal saving rate stood at only 3.0%.

For small businesses, this suggests consumers still have income—but aren’t necessarily accelerating spending.

That creates a difficult operating environment:

Costs remain elevated. Borrowing may become more expensive. And customers are becoming more selective.

Businesses cannot assume revenue growth will compensate for inefficiency.

Margin management becomes critical.

✅ Action Steps for Business Owners This Week

1. Conduct an AI Productivity Audit

Don’t start with:

“Where can we use AI?”

Start with:

“Where are we spending the most time or money on repeatable work?”

Those areas often present the strongest opportunities for automation.

2. Quantify Technology Investments Before Borrowing

If you plan to finance automation or technology, calculate the expected return.

A lender should be able to see how the investment improves:

Revenue
Margins
Capacity
Labor productivity
Cash flow

3. Don’t Wait for Interest Rates to Fall

Today’s Jackson Hole speech is another reminder that lower rates are not guaranteed.

If a project makes economic sense at today’s borrowing costs, evaluate it based on today’s economics – not a hoped-for future rate environment.

4. Protect Your Margins

With PCE inflation still running at 3.7%, businesses should continue reviewing pricing, vendor costs, payroll productivity, and operating expenses.

5. Make Productivity Part of Your Capital Story

When preparing for financing, don’t simply explain what you want to buy.

Explain what the investment will change.

A lender should understand:

Capital → Investment → Productivity → Cash Flow → Repayment.

That is a much stronger financing narrative.

📅 What We’re Watching Next Week

Several developments now deserve close attention.

First is the market’s response to today’s Jackson Hole speech. Expectations for the Fed’s September 15–16 meeting shifted materially after Chair Warsh’s remarks, making incoming inflation and employment data even more important.

We’ll also be watching whether Treasury yields remain elevated as markets digest the possibility of another rate increase.

And we’ll continue monitoring AI-related capital spending. The Fed itself is now treating AI investment and its potential productivity effects as an important variable in understanding the economy.

For small businesses, that makes this much more than a technology story.

It’s becoming a capital story.

Bottom Line

The AI boom is doing something much larger than creating new software.

It is changing where capital flows, how businesses invest, how productivity is measured, and potentially how lenders will evaluate future competitiveness.

At the same time, inflation remains at 3.7%, economic growth has slowed to 1.5%, and the Federal Reserve is once again confronting the possibility that rates may need to rise rather than fall.

That combination creates a new challenge for small business owners.

Capital cannot simply fund growth.

Increasingly, capital needs to fund productivity.

The businesses best positioned for the next phase of the economy won’t necessarily be those spending the most on technology.

They’ll be the businesses that can demonstrate that every dollar invested – whether in technology, equipment, people, or expansion – creates measurable economic value.

At Doxa Legacy Advisors, we believe capital strategy begins with that question:

What will this capital allow your business to do better, faster, or more profitably than it can today?

Because in the next phase of the credit cycle, access to capital may increasingly belong to businesses that can prove not only that they can repay the money – but that they know how to put it to work.