Notable bottlenecks to AI adoption by end of 2025
14
1.4kṀ1115
Dec 31
65%
Model reliability and accuracy
53%
limited ability of humans to adapt to new technologies
45%
Technical infrastructure limitations
37%
Costs and financial investment
34%
Data access and quality
31%
Compliance and security
28%
Regulatory barriers
27%
Talent retention and training
27%
Computing resource limitations
27%
No Bottlenecks
26%
Energy consumption and/or sustainability
25%
Data privacy concerns
24%
Ethical considerations
18%
Human resistance

Resolving criteria: A survey or report from a reputable organization (e.g. McKinsey, Gartner, or a similar research firm) published in 2025 identifies the bottleneck to AI adoption as one of the options listed.

Asking because of this: https://www.youtube.com/watch?v=GT_sXIUJPUo

  • Update 2025-12-01 (PST) (AI summary of creator comment): - Multiple resolutions: More than one option can be resolved as 'yes' if different reputable organizations identify different primary bottlenecks to AI adoption.

    • Non-mutually exclusive options: Options are not mutually exclusive. For example, "Model reliability and accuracy" may be affected by "Data access and quality."

    • Multiple reports: Multiple reports can confirm different bottlenecks, either simultaneously or at different times throughout 2025.

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