Notable bottlenecks to AI adoption by end of 2025
โž•
Plus
14
แน€1115
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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limited ability of humans to adapt to new technologies
bought แน€10 limited ability of h... NO

That's exactly what an what AI would say, those humans, they should just be replaced.

bought แน€50 Data access and quality NO

Some no on data access. My intuition is that these models are already looking at so much data that we're well past diminishing returns.

bought แน€10 Costs and financial ... NO

I'm assuming only one can resolve yes if it's the 'primary' bottleneck, right?

@TheAllMemeingEye To clarify, multiple options can resolve as 'yes' if different reputable organizations identify different primary bottlenecks to AI adoption. Also, options are not mutually exclusive (e.g., "Model reliability and accuracy" may be affected by "Data access and quality"), and multiple reports can confirm different bottlenecks, either simultaneously or at different times throughout 2025.