CMIT Study: B2B Tech Teams Have Not Industrialised AI

Eighty-one per cent of B2B technology marketing teams have not yet industrialised their use of artificial intelligence, despite universal adoption for daily tasks, according to a study released on October 6, 2026, by the Club des marketeurs in Tech (CMIT) and reported by presse-agence.fr. While all survey respondents use AI for content production and 86 per cent have integrated at least one recurring workflow, the research reveals that most organisations remain stuck in experimental or pilot phases rather than achieving systemic performance transformation.

Adoption Without Systemic Organisation in B2B Tech

The study, titled Le moment agentif : ou le marketing en première ligne and surveyed across roughly one hundred B2B marketing decision-makers, maps a stark divide between daily tool usage and deep organisational restructuring. Data analysis is utilised by 66 per cent of respondents, personalisation by 45 per cent, and automation by 40 per cent. Yet, 39 per cent of teams remain in an experimentation phase, and 42 per cent sit in a pilot phase. Only 14 per cent have reached large-scale deployment, while a mere 5 per cent operate as IA-first enterprises.

L’outil est entré dans les mains, mais le système n’est pas encore entré dans l’organisation, the CMIT stated in its report, as highlighted by presse-agence.fr.

Marketeers Distrust AI Agents over Data Security Risks

The integration of autonomous AI agents capable of operating without constant human supervision encounters a profound confidence deficit. Marketing decision-makers assigned an average trust score of just 2.83 out of 5 when asked about delegating complex tasks to an agent. Also, 86 per cent of surveyed marketeers expressed low or medium confidence in their tools' ability to safeguard strategic data.

Respondents identified specific operational risks: brand damage stemming from AI hallucinations and the leakage of confidential information each accounted for 31 per cent of primary concerns. Ethical stakes and bias registered at 14 per cent, while the loss of headcount control and supervisory oversight each worried 12 per cent of participants.

Fragmented Governance Forces Brands to Pivot Visibility Strategies

Corporate governance surrounding artificial intelligence remains highly fragmented across the sector. Businesses currently divide their approaches among secure internal environments at 31 per cent, usage charters at 31 per cent, and centralised governance structures at 28 per cent. Meanwhile, 10 per cent of respondents acknowledged operating under Shadow AI conditions without formal oversight.

At the same time, generative intelligence is forcing brands to pivot their visibility strategies from traditional Search Engine Optimization to Generative Engine Optimization. This shift aims to secure company presence directly inside the responses generated by intelligent assistants.

Ninety-Day Action Roadmap for Marketeers

To accelerate structural deployment, the CMIT introduced a 90-day action roadmap focused on risk mitigation, value proof on limited scopes, and rule enforcement to make gains reproducible. The complete research study is accessible for download via the Tally platform.

Le marketing s’y trouve en première ligne, non par vocation, mais parce que la matière de l’IA générative — le langage, l’image, la donnée comportementale — est la sienne depuis toujours, David Benguigui, vice-president of the CMIT, told presse-agence.fr. Cette centralité est une responsabilité autant qu’une opportunité. Elle se mérite plutôt qu’elle ne se décrète.

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