The State of AI Within SMBs in 2026

New data from The Upwork Research Institute Q1 2026 Business Leader Landscape shows that SMB leaders are all in on AI agents, but the productivity gains so far are incremental rather than transformative. 

Executive summary

Small and medium-sized businesses (SMBs) are adopting AI agents with a bias to action.

In Q1 2026, The Upwork Research Institute surveyed 750 U.S.-based business leaders across five major industries: business and professional services, healthcare, manufacturing, retail and consumer goods, and software and technology. 

Looking at the subset of 195 SMB leaders of companies with 10-99 employees, we aimed to explore how SMBs are navigating AI agent adoption.

Across every use case and business function we surveyed, the SMB leaders piloting AI agents in 2026 outnumber those not considering it at all. Notwithstanding, the data reveals that productivity gains haven't fully delivered on the confidence SMB leaders have placed in AI agents. 

With AI agent adoption, SMB leaders are largely operating on conviction while they wait for major productivity gains. Whether that's a future-forward strategy or costly optimism depends on how the transformation is executed. 

Key takeaways

• Conviction is ahead of proof. 62% of SMB leaders are very confident in handing high-stakes tasks to AI agents. One in three SMB leaders consider AI agents mission-critical to company strategy. At the same time, uncertainty around ROI (24%) is the second-biggest adoption barrier, behind only data security and compliance (27%). 
• SMB leaders are deploying AI agents now and not later. Across every use case tested, the current share of SMBs actively piloting AI agents outpaces the share not considering it at all — decision support (41% vs. 3%), information retrieval (36% vs. 2%), workflow automation (34% vs. 2%), multistep planning (34% vs. 2%), and autonomous task execution (30% vs. 6%).
• Seeing gains but waiting for the ROI breakthrough. 74% of SMBs report that AI has improved their productivity. But for most, those improvements have not yet passed the 25% mark. Efficiency (68%) is the most anticipated outcome from AI agents over the next 24 months, reflecting both the early operational gains SMBs are already seeing and their expectation of greater impact ahead.
• Navigating real concerns, without slowing down. Data privacy and security top the barriers to adoption list at 49%, slightly higher than the response from the broader respondent pool (44%). SMBs are more exposed when things go wrong, and they know it.

SMB leaders are betting on AI agents

SMBs are businesses with lean teams, tighter budgets, and far less margin for error than their larger enterprise counterparts.  That's precisely why early AI agent adoption is a bigger gamble for them than for larger organizations better positioned to absorb the risk. 

And yet, 62% of SMB leaders surveyed say they are “very or extremely confident” handing high-stakes tasks to AI agents. 

That confidence is turning into deployment decisions. Across every use case in our survey — decision support (41%), information retrieval (36%), workflow automation (34%), multi-step planning across systems (34%), and autonomous task execution (30%) — the share of SMBs actively piloting AI agents today outpaces the share not considering it at all. 

Most notably, 41% of SMB leaders surveyed are running pilots to test the viability of AI agents in decision-making. The leaders "not considering" are only 3%, and the same pattern holds across all use cases.

Source: The Upwork Research Institute Q1 2026 Business Leader Landscape, n=195

Ultimately, 32% of SMBs with 10 to 99 employees cite AI agents as being mission-critical to their company’s strategy. 

SMB leaders are still defining AI agents 

Compared to the broader respondent pool, leaders in organizations with 10 to 99 employees are still aligning on a central definition of AI agents. 

69% of SMB leaders are “very or extremely confident” that their entire leadership team shares a common definition of what AI agents are.

While this shows the majority are aligned, the confidence in the broader respondent pool (75%) shows that SMBs lag slightly behind in definitional alignment. 

This is a data point worth flagging. You can't create an optimum AI agent deployment strategy if your CFO, head of operations, and IT lead have three different mental models of what an AI agent is. 

Misaligned definitions point to a bigger challenge of misaligned expectations. This leads to deployments that feel like failures even when the technology performs exactly as designed.

SMBs prioritize AI agent deployment in high-ROI functions, but productivity gains are still forthcoming 

While 74% of SMB leaders report improved organizational productivity through AI, most gains remain below 25%. This reflects the current tension in adoption: Businesses expect transformative improvements but are so far seeing only incremental changes. 

74% of SMB leaders say AI has improved organizational productivity, but improvements remain under 25% for most. 

Small and medium-sized businesses are making deliberate choices about where AI agents land first, and business function is the deciding factor.

We surveyed SMBs with 10 to 99 employees about their deployment timelines across nine functional areas, including marketing, content generation, and data analytics. When it came to having active pilots, three functions rose to the top:

• 40% for customer service
• 38% for scheduling and administrative support
• 37% for data analytics

The common thread here is operational efficiency, specifically, functions where the work is high-volume, repetitive, and rule-bound enough that AI can step in without needing much creative judgment. In essence, the data shows that SMBs are deploying AI agents to the business functions where returns are the quickest and easiest to measure. 

How can SMB leaders be more productive with AI agents?

SMB leaders who are serious about moving from conviction to proof need to be deliberate about how they navigate transformation. Here’s what our findings reveal:

1. Start where ROI is easiest to see. Build the internal proof of concept with functions like customer service, admin, and analytics before expanding into more complex territory. The savings you generate in these early deployments is what funds the next phase and the data you compile directs where to continue expansion.

2. Build security into the deployment, not around it. Deploying AI agents without a clear security framework means adding surface area to an already exposed position. The answer isn't to slow down; it's to build more carefully.

• Vet vendors on data handling transparency 
• Run security reviews as part of the pilot process
• Establish clear policies for what information AI agents can and can't access

SMB leaders who build security into their AI agent deployment strategies will move faster and more confidently.

3. Draw insights from early AI agent adopters. SMBs are learning about AI agents primarily through vendors (53%) and peer networks (52%). That second channel is the one worth investing in. The SMBs making real progress with AI agents are talking about it. Find those conversations. The playbook for SMB-scale AI agent deployment is being written in real time by your industry peers.

Which business functions are SMB leaders scaling with AI agents

While most business functions remain in testing, data analytics (27%), content generation (26%), and inventory management (24%) have moved into scaling for SMBs. This shift indicates that initial pilots were successful, allowing these functions to move past experimentation toward broader deployment.

Source: The Upwork Research Institute Q1 2026 Business Leader Landscape, n=195

These use cases compound in value. Advanced analytics drives better decision-making, while accelerated content generation fuels revenue growth through marketing and sales. The data reveals SMB leaders are prioritizing business use cases where value is provable and growth is scalable.

What this means for SMBs considering AI adoption

SMB AI adoption is driven by conviction, not doubt. With 62% of leaders trusting AI with high-stakes work and 1 in 3 viewing it as mission-critical, the initial strategic bets have already been placed.

A few patterns worth understanding as you plan your own AI agent rollout:

• Three functions have moved past the pilot stage. While most business functions are still in pilot or early deployment mode, data analytics (27%), content generation (26%), and inventory management (24%) are the top functions where AI agents aren't just being tested anymore. According to our sample of SMB leaders, they're now being scaled.
• Scaling means the proof of concept worked. Someone made the business case, the early results held up, and the decision was made to go bigger. In a broader AI landscape still dominated by experimentation, these three functions stand out among SMBs that have moved AI agents from pilot to production.
• The value compounds where SMBs scale first. Better analytics leads to better decisions, which leads to better outcomes across every other function. More and faster content generation feeds sales, marketing, and customer acquisition in ways that have a direct line to revenue.
• SMB leaders are thinking in two speeds. Deploy where it's provable first, and scale where the upside compounds. Data analytics, content generation, and inventory management have cleared the first hurdle.

What the Q1 2026 data makes clear is that SMB leaders are taking an ROI-first approach to AI agent deployment. They're embracing AI with conviction and tracking results closely to know what's actually delivering value improvements.

The findings in this report are drawn from The Upwork Research Institute's Q1 2026 Business Leader Landscape — a survey of 750 U.S.-based business leaders conducted in early 2026. Respondents spanned five industries in equal measure, including business and professional services, healthcare and medical, manufacturing, retail and consumer goods, and software and technology. Seniority requirements were set at director level and above, with roughly equal representation across directors, senior directors, vice presidents, and C-suite executives.

The analysis in this report focuses specifically on the 10–99 employee segment — 195 respondents — with comparisons drawn to the broader respondent pool where relevant. Revenue among this group ranged primarily from under $1 million to $49.9 million annually, reflecting the economic profile of true small business operators rather than mid-market firms.

Where we reference "the broader respondent pool," we mean the full sample of 750 leaders across all company sizes. Where we reference "larger organizations," we mean companies with 100 or more employees. All percentage comparisons between SMBs and the broader pool are noted inline throughout the report.