Artificial intelligence has overtaken account-based marketing as the leading B2B marketing budget priority for 2026. A new B2BMX Insights benchmark report reveals that companies are increasing AI investments to improve content production, automate workflows and strengthen marketing operations.

AI Overtakes Account-Based Marketing as the Top B2B Budget Priority for 2026

Artificial intelligence is becoming the biggest investment priority for B2B marketing teams in 2026, overtaking account-based marketing (ABM), which has traditionally been one of the industry's major strategic investments.

According to the 2026 B2BMX Insights Benchmark Report, 60.4% of B2B marketers are increasing their budgets for AI-powered marketing tools and platforms. The findings highlight how businesses are shifting their investments towards automation, content production and more efficient marketing operations.

The change represents a significant development compared with 2025, when account-based marketing was the leading budget priority, with 44.7% of marketers identifying it as a key investment area.

AI Moves From Experimentation to Budget Priority

Generative AI has quickly become part of everyday marketing operations. Businesses are using these tools to support content development, campaign planning, audience research and marketing execution.

The benchmark report found that 70% of marketers use AI to draft and scale content production. Additionally, 75% of surveyed organizations have generative AI content tools within their marketing technology stacks, making them the most widely adopted AI tools in the survey.

These developments suggest that AI is moving beyond experimentation and becoming an important component of marketing infrastructure.

Content Production Leads AI Adoption

Content creation is one of the areas experiencing the strongest impact from AI adoption.

B2B marketing teams regularly produce blogs, email campaigns, social media content, whitepapers, landing pages and sales enablement materials. AI tools can help accelerate these activities by supporting research, drafting, content adaptation and personalization.

According to the report, 51% of respondents plan to test or deploy generative AI tools over the coming year. This makes generative AI the most popular tactic on marketers' 2026 implementation roadmaps.

However, faster production does not automatically guarantee better marketing outcomes. Businesses still need human review to maintain brand consistency, accuracy and relevance.

Marketing Teams Are Still Working Towards Full Integration

Despite widespread adoption, many organizations have not yet integrated AI across their entire marketing operations.

The report found that 35.9% of marketers use AI across several specific workflows. Other organizations remain in evaluation, testing or pilot stages.

This highlights an important difference between adopting individual AI tools and developing a connected AI-driven marketing strategy.

For businesses, the next challenge is integrating AI with customer data, CRM systems, campaign platforms and performance measurement tools.

What This Means for Account-Based Marketing

The growing importance of AI does not necessarily mean that ABM is becoming less relevant.

Instead, AI can strengthen account-based marketing by helping teams identify target accounts, analyse buyer intent, personalize messaging and prioritize prospects based on engagement signals.

Combining AI with first-party data and account intelligence can help marketing and sales teams develop more relevant campaigns and improve coordination throughout the buying journey.

For B2B organizations, the opportunity lies in using AI to make existing marketing strategies more efficient rather than treating automation as a replacement for strategic planning.

The Future of B2B Marketing Investment

The 2026 benchmark findings reflect a broader shift in how B2B companies approach marketing technology.

Investment priorities are increasingly focused on scalable automation, measurable productivity and the ability to connect marketing activities with business outcomes.

As AI adoption expands, organizations will need to focus on data quality, governance, human oversight and performance measurement.

The competitive advantage will not come simply from using more AI tools. It will come from integrating the right technologies into marketing workflows and turning automation into measurable pipeline and revenue impact.