Observed Signal · Jan 6, 2026 · Predictions · Source: https://chiefmartec.com/feed/ · Impact: 3/5 · Sentiment: Positive
Jon Miller Predicts AI-Driven B2B GTM Trends for 2026
Jon Miller, co‑founder and original CMO of Marketo and now CEO of a stealth AI startup, outlines his 2026 B2B go‑to‑market predictions. He argues 2026 will be a transition year in which AI begins to materially shape martech: marketers will need to serve AI agents as part of buying committees, reasoning AI will start replacing brittle rules-based automation, and journey orchestration will shift toward dynamic AI “playlists.” Composable, headless architectures and context engineering will gain traction but remain limited in 2026 (<20% adoption for fully composable stacks). Email will shift from owned to earned media as AI inbox gatekeepers filter volume. Miller warns that public intent signals will commoditize, making proprietary first‑party signals more valuable, and highlights broader economic and employment uncertainty driven by AI. He recommends investing in signal foundations, operational context, and quality human judgment.
Thought leadership from a senior martech practitioner outlines concrete near‑term AI shifts (agents, reasoning AI, orchestration, composability) that will influence vendor roadmaps, platform strategy, and GTM operations in 2026.
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Key Takeaways & Evidence Grounding
- Jon Miller is the co‑founder and original CMO of Marketo and currently the co‑founder and CEO of a new stealth AI startup.
- Prediction: marketers will market to AI agents (agents as part of buying committees) in 2026, delivering structured information for agents alongside human experiences.
- Prediction: fewer than 20% of B2B teams will run a fully composable martech architecture in 2026, with composable stacks expected to be mainstream by 2030.
- Prediction: reasoning AI will begin replacing rules‑based automation in areas like data management, lead scoring, and journey orchestration during 2026.
- Miller cites industry reports claiming high AI research usage in 2025 (examples in the article: 90% of B2B buyers used ChatGPT for research; 63% of marketers published AI‑optimized content).
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Jon Miller's Bold B2B Predictions for 2026 Unveiled
Jon Miller, co-founder and original CMO of Marketo and now co-founder and CEO of a stealth AI startup, publishes a set of predictions for B2B go-to-market in 2026. He forecasts AI agents joining buying committees, reasoning models beginning to replace brittle rules-based automation, early adoption of AI-driven journey orchestration (“playlists”) that prioritize the right action over unique content, and slow near-term transformation of legacy SaaS (hybrid AI + SaaS adoption in 2026). Miller also predicts increased emphasis on capturing operational context for AI, commoditization of public intent signals with advantage shifting to proprietary signals, and shifts in email marketing as AI inbox gatekeepers force relevance and trust. He highlights workforce and societal uncertainty from AI, cites industry studies and vendor moves, and recommends building signal foundations and human accountability.
Jon Miller Predicts B2B GTM Shifts for 2026
Jon Miller, co-founder and original CMO of Marketo and now CEO of a stealth AI startup, published his 2026 predictions for B2B go-to-market on Chiefmartec. He forecasts marketers preparing to engage AI agents as part of buying committees, reasoning AI beginning to replace brittle rules-based automation, and early AI-driven journey orchestration ("playlists") delivering closer-to-1:1 personalization. Miller expects composable martech stacks to be mainstream by 2030 but adopted by fewer than 20% of teams in 2026, and he predicts “context engineering” will emerge as a formal GTM discipline to make AI operationally useful. He warns email will move from owned to earned media as AI inbox gatekeepers triage messages, public intent signals will commoditize while proprietary first-party signals create alpha, and AI-driven uncertainty will accelerate job and organizational shifts. The piece emphasizes hybrid, incremental adoption in 2026 rather than wholesale transformation.
AI Scaling the Wrong Part of Go-to-Market
The article argues that marketers and sales teams have focused AI on increasing volume—more emails, more prospecting—rather than on the preparatory work that enables human-led, relationship-driven selling. Citing industry research (Salesforce, 6sense, Gartner, ZoomInfo), the author says buyers often self-initiate and prefer human validation of AI insights; deals are commonly decided by familiarity and prior relationships. The recommended approach is to use AI to automate research, signal synthesis, data enrichment, prioritization and prediction (the “prep”), then allow humans to handle storytelling, judgment, and sending personalized outreach. The author positions 1:1 ABM and “signal-based experiences” as the highest-value GTM motion that benefits from machines doing the heavy prep while humans preserve trust and nuance.
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