All ForgeX statsAI impact80%

80% of the underperforming segment failed to convert AI speed improvements into impact.

Do faster AI workflows lead to better ABM results?

According to the ForgeX Research 2026 AI in ABM Benchmark Report (2026), 80% of the underperforming segment failed to convert AI speed improvements into impact.

Top performers are survey respondents who agree or strongly agree that AI has significantly improved their ABM program performance.

Who was asked

All other respondents, below the top-performer threshold (n=79 of 189).

Methodology

ForgeX surveyed 189 B2B marketing practitioners with active ABM programs in Q1 2026. All respondents operate at least one ABM deployment model (1:1 ABM, 1:Few ABM, 1:Many ABM, or deal-based ABM).

Source: 2026 AI in ABM Benchmark Report, ForgeX Research, 2026, page 4.

Cite this stat

Citation

ForgeX Research. 2026 AI in ABM Benchmark Report. 2026. forgex.ai/research/2026-ai-in-abm-benchmark-report

In an article or report

80% of the underperforming segment failed to convert AI speed improvements into impact. (ForgeX Research, 2026 AI in ABM Benchmark Report, 2026, n=79)

On a slide

Source: ForgeX Research, 2026 AI in ABM Benchmark Report (n=79)

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