What will block AI in B2B in 2026, and how adoption differs by industry.

Abstract icon of four people sitting around a table in a roundtable discussion.

January 2026

Part 2 of a two-part series from the “Navigating AI in B2B Growth: AI Readiness Report 2025-2026” by StudioNorth and MarketLauncher.

Leaders are not short on AI tools. They are short on readiness and fit. This post names what slows teams down, then shows how adoption patterns shift by industry so plans can match reality.

About this study and series. This first‑of‑its‑kind industry research report captures how senior B2B marketing and sales leaders are applying AI to drive measurable growth.¹ The study includes 62 senior leaders across seven industries plus 15 executive interviews. Part 1 covered Goals and Use Cases. Part 2 covers Barriers and Industry Insights.

TL;DR

The human factor leads. Skills readiness and change management top the barrier list more often than tools.
Budget is contextual. Healthcare lists budget as the top barrier, while tech-led sectors cite skills.
Industry fit matters. Predictive analytics leads broadly, while visual creation surges in Manufacturing and Financial Services.

Why this matters

B2B leaders are not short on AI tools. They are short on alignment, training, and proof. Naming the barriers helps teams design enablement that sticks. Pair that with an industry lens, and investments stop feeling generic. They become right-sized to the realities of the field. Human-centered AI aligns speed with brand and governance.

Barriers: what will slow teams down in 2026

Skills readiness is the most common barrier across industries.

72% of respondents list skills among their top two barriers.¹ Technology, Financial Services, and Manufacturing list skills readiness as the top obstacle. Training is uneven, usage is inconsistent, and confidence lags in the day to day. Enablement principles that stick start with human-centered AI readiness.

Circular progress indicator displaying 72 percent completion in orange on a dark background.

Budget is the outlier in Healthcare.

Only 14% list budget as a top challenge overall, but Healthcare leaders rank budget first.¹ Responsible innovation is the theme. Design controls and culture with responsible AI in B2B marketing. Teams move deliberately, and require clear value cases to unlock spend.

Circular progress indicator displaying 14 percent completion in orange on a dark background.

Change management is the friction in Professional Services.

Leaders cite cultural readiness and adoption rituals as the lift. Without decision rights and simple standards, even good pilots stall. Trust ranks lower than many expect: only 9% selected it as a top barrier.¹

Circular progress indicator displaying 9 percent completion in orange on a dark background.

What this means. Solve for human readiness first, since 72% list skills among their top two barriers. Publish how to use AI well in your workflows, not just where to find a tool. Budget is not the bad guy for most sectors, only 14% listed it as a top challenge, but Healthcare is the exception and will require smaller, safer wins tied to governance.

When leaders model usage and share ownership, adoption accelerates. Teams led by executives actively using AI reported 2x faster adoption, and organizations with joint Marketing and Sales ownership reported +30% greater confidence.¹

Industry insights: where adoption patterns differ

Leaders rate the five core use cases on a 1 to 5 scale by industry. These patterns explain why one team finds lift in a use case that another team struggles to scale. Predictive analytics is the top-scoring use case in three of four industries in this benchmark.¹

Chart showing AI use case ratings across healthcare, technology, manufacturing, and finance.

What this means. Predictive analytics is the most consistently strong use case across industries, and the top score in Technology, Healthcare, and Manufacturing. Visual creation leads in Financial Services, and is a close second in Manufacturing. Personalization climbs in Manufacturing and Financial Services, while Technology focuses more on predictive plus content creation. Implications for B2B search vary. Across the sample, about 47% of teams are using or exploring visual creation.¹

From findings to focus

If skills are the barrier, publish task-level guidance inside the tools people already use, because 72% list skills among their top two barriers. Use short examples that map to common workflows.
If budget is the barrier, pre-register projects with legal and compliance, and attach a small, measurable outcome to each test. Only 14% list budget as a top challenge overall, but Healthcare is the exception.
If change is the barrier, assign decision rights for prompts, reviews, and publishing, then run a weekly practice to keep usage visible. Where executives actively use AI, teams report 2x faster adoption, and shared Marketing plus Sales ownership correlates with +30%.
If industry dynamics differ, choose the use case with the highest current score in your sector, then pair it with the most urgent goal from Part 1. Predictive leads in three of four industries in this benchmark.¹

Key takeaway

Solve for skills and change first. Then pick the highest-scoring use case in your industry and pair it with your most urgent goal. Plans built this way move faster, cost less, and earn trust.