Primary bottleneck to AI adoption by end of 2025

Plus

Ṁ805

Dec 31

57%

Model reliability and accuracy

45%

Regulatory barriers

45%

Technical infrastructure limitations

37%

Costs and financial investment

35%

Data access and quality

31%

Compliance and security

28%

limited ability of humans to adapt to new technologies

28%

Talent retention and training

28%

Computing resource limitations

28%

No Bottlenecks

26%

Data privacy concerns

26%

Energy consumption and/or sustainability

25%

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

This question is managed and resolved by Manifold.

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bought Ṁ50 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 Ṁ10 NO

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

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