Stensul’s 2026 MarTech Outlook on AI and Agency Spend: The Demand Gen Report Interview with Rachel Meranus

Why It Matters

The findings signal a decisive move toward AI‑centric, in‑house marketing capabilities that will reshape spend, talent needs, and the role of agencies across the B2B sector.

Key Takeaways

• B2B firms 64% more likely to boost marketing automation spending
• 57% plan AI reskilling, focusing on content engine nuance
• In‑house AI creation reduces agency reliance for routine assets
• Collaboration bottlenecks stem from complex toolchains and siloed teams
• MarTech budgets rise near 80%, signaling marketing as growth driver

Pulse Analysis

Artificial intelligence is no longer a peripheral add‑on for B2B marketers; it has become the engine that powers scale, personalization, and efficiency. Stensul’s outlook shows that more than half of organizations are already allocating resources to upskill their teams, with a particular focus on mastering agentic AI tools, managing hybrid AI‑human research pipelines, and tailoring content for emerging geo‑search platforms like ChatGPT and Gemini. This skill shift is critical because AI‑generated output must meet brand, legal, and compliance standards while cutting through audience fatigue, a balance that only trained professionals can achieve.

The transition to in‑house AI‑driven production is also reshaping the agency landscape. Routine assets such as video clips and standard copy are increasingly built on internal models, freeing agency budgets for high‑impact, strategic work like events and brand activations. However, this shift brings new expectations for transparency: marketers now demand visibility into AI model training, asset provenance, and pricing structures that reflect reduced labor hours but added AI infrastructure costs. Companies that can articulate the value of their AI‑enhanced services will retain relevance, while those clinging to legacy outsourcing risk obsolescence.

Finally, the surge in MarTech spending—approaching 80% of surveyed firms—signals that senior leadership views marketing as a core growth lever. Yet the real test lies in measurement; AI is redefining how pipeline, ROI, and profitability are quantified. Organizations that embed continuous learning into their culture, align approval cycles with AI‑accelerated output, and invest in collaborative platforms to break down silos will unlock the full potential of their MarTech stack and sustain competitive advantage in the AI‑first era.