It’s time for theCUBE Research’s 2026 Enterprise AI predictions. Join Scott Hebner and Christophe Bertrand as they give their 2026 Enterprise AI predictions and pressure-test what changed in 2025. The enterprise AI market is now operating on innovation cycles measured in quarters, not years, and the competitive gap is compounding: organizations that learn, instrument, and govern faster will pull away, while laggards may never fully catch up.
The conversation opens with a scorecard on our six 2025 enterprise AI predictions from last year. Then we shift to four 2026 predictions focused on what will matter most for enterprise leaders:
- Agentic AI Decision Intelligence reshapes AI architectures as businesses move from fluent automation to decision-grade systems. Look for enterprises to evolve beyond LLM-only agentic architectures to create new semantic layers, anchored by 2x adoption of knowledge graphs and causal reasoning technologies reaching 20% of enterprises, 40% for those over $1B in revenue.
- As many as 50% of B2B brands become “invisible” in AI-mediated buyer journeys if they are not understood, cited, and trusted by AI assistants (ChatGPT, Gemini, Claude, Grok, and Perplexity. The SEO playbook is now insufficient, and reengineering brand visibility and equity is a “do or die” proposition, especially in B2B technology markets.
- Enterprises finally confront the AI Trust issue as a first-order constraint, spanning cybersecurity, data quality, explainability, and governance. Look for at least two major enterprise “incidents” in 2026 that spark major mindset shifts. We predict a net-stall in AI deployments, especially in high-sake environments, without major new trust and governance framework deployments.
The through-line is pragmatic: in 2026, trust becomes the gating factor for scale, and visibility becomes a competitive moat. These are predictions you can count on, grounded in real survey data and industry insights. Watch the podcast to hear the conversation.
⏱ Chapters
05:43 – Assessment of 2025 predictions – LLMs run out of gas in the enterprise and Gen AI commoditizes
12:02 – Agentic AI decision intelligence emerges based on a new agentic semantic layer
15:04 – Data governance and protection become hard barriers to AI ROI
21:09 – Half of enterprises become invisible in early-stage digital / AI buyer journeys
📊 More Research: https://thecuberesearch.com/analysts/scott-hebner/
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