Why SMBs Are Cutting AI Spend but Doubling Down on Defense

Why are SMBs pulling back on AI spending right now?

SMBs aren't abandoning AI. They're cutting the experiments that didn't pay off and protecting the line items that actually reduce risk. According to new research from Tech.co and Expert Market, SMB leaders are becoming increasingly surgical in how they adopt AI, and automated security is the category that's surviving the budget scrutiny.

This is a meaningful signal. When discretionary spend gets squeezed, what stays tells you what operators actually value.

What does the research actually say about SMB AI budgets?

The Tech.co and Expert Market research points to a split emerging in SMB AI investment. General AI productivity tools, think AI writing assistants, meeting summarizers, and broad automation platforms, are seeing more skepticism and slower renewal cycles. Meanwhile, AI-powered cybersecurity tools, specifically automated threat detection and response, are holding or growing their budget allocations.

The logic isn't complicated. A chatbot that saves your team two hours a week is a nice-to-have. A tool that catches a phishing attempt before it becomes a $50,000 breach is a different category of value entirely.

Cybercrime costs are not abstract. The average cost of a data breach for small and mid-sized businesses now exceeds $3 million according to IBM's 2024 Cost of a Data Breach Report, and SMBs are increasingly the target precisely because they're seen as easier to penetrate than enterprise organizations.

Why are automated security tools specifically the ones getting funded?

Three reasons, and they all come back to how SMB operators actually make budget decisions.

First, the ROI is defensive but concrete. You can model the cost of a breach. You can price insurance premiums. You can quantify what downtime costs per hour. Automated security tools map directly onto those numbers in a way that "AI for business productivity" often doesn't.

Second, staffing reality. Most SMBs don't have a dedicated security operations team. Automated defense tools, ones that monitor, detect, and respond without requiring a human analyst watching a dashboard 24/7, solve a real capacity problem. A company with 50 employees cannot hire a SOC team. They can afford a platform that acts like one.

Third, the threat environment has changed. AI has made phishing attacks more convincing, malware more adaptive, and social engineering more scalable. Attackers are using AI offensively. Defending with the same category of tooling is a rational response, not a marketing upsell.

"When attackers start using AI, defenders don't get to opt out."

What's getting cut, and why does it matter?

The tools losing budget share aren't necessarily bad products. They're often tools that got purchased during the 2022–2023 AI hype cycle when every vendor slapped "AI-powered" on their marketing and SMB buyers were eager to experiment.

The ones getting cut share a few characteristics:

• Unclear ROI after 6–12 months of use
• Overlap with tools already in the stack
• High implementation friction with low adoption inside the team
• Productivity gains that were real but not measurable in revenue terms

This is healthy. Cutting tools that aren't earning their seat is how operators build a stack that actually works. The concern is when cost-cutting becomes reflexive and operators start trimming security tooling the same way they trim SaaS subscriptions.

How should SMBs think about AI security spend relative to everything else?

Here's a simple frame: separate your AI spend into two buckets.

Bucket 1: Revenue-generating AI. Tools that help you sell more, serve customers faster, or produce work more efficiently. These should be evaluated on output and ROI. If they're not producing measurable results in 90 days, reassess.

Bucket 2: Risk-reducing AI. Tools that protect what you've already built. Automated threat detection, email security with AI-based filtering, identity and access management. These should be evaluated on coverage and incident prevention, not quarter-over-quarter productivity gains.

Most SMBs underfund bucket 2 until they have an incident. The current research suggests that's starting to change, which is the right direction.

What does a reasonable SMB security stack actually look like?

You don't need enterprise tooling. You need coverage across the most common attack vectors with as much automation as possible.

| Layer | What it covers | Example tools | |---|---|---| | Email security | Phishing, BEC, malware in attachments | Proofpoint Essentials, Microsoft Defender for Office 365 | | Endpoint protection | Devices used by your team | CrowdStrike Falcon Go, SentinelOne | | Identity/access | Credential theft, unauthorized access | Okta, Microsoft Entra ID | | Threat monitoring | Network anomalies, active threat detection | Huntress, Arctic Wolf | | Backup and recovery | Ransomware resilience | Acronis, Veeam |

None of these are exotic. All of them use AI-based detection to some degree. All of them are available at SMB price points. The gap for most small businesses isn't product availability, it's someone taking the time to build and maintain the stack.

What does this shift mean for how SMBs should plan AI budgets in 2025?

The research from Tech.co and Expert Market is a useful mirror. If you're still in experiment mode across a dozen AI tools with no clear owner and no measurement framework, you're in the group that's about to get squeezed. If you're consolidating around tools with clear outcomes, and putting a floor under your security spend, you're in the group that comes out of this period in better shape.

The operators who will look smart in 18 months are the ones who got selective now, not the ones who either cut everything or kept paying for tools they can't defend in a budget meeting.

The AI spending pullback isn't a story about SMBs giving up on AI. It's a story about SMBs getting smarter about what AI actually needs to do to earn its seat.

What we'd actually do

• Audit your current AI subscriptions this month. List every AI tool you're paying for, who owns it, and what measurable outcome it's producing. Anything that can't answer that question in one sentence is a candidate for cancellation.
• Put a floor under security before touching anything else. If you don't have email security, endpoint protection, and MFA enforced across your team, fix that before renewing any productivity AI tool. The asymmetry of risk makes this the right order of operations.
• Join the conversation at skool.com/aiforbusiness. We're actively working through stack audits, security tooling decisions, and AI budget frameworks with SMB operators. If you want a second set of eyes on where your spend is actually going, that's where to start.