What has been your primary challenge in developing a business case for GenAI in your organization?

Accurately forecasting costs11%

Identifying realistic benefits33%

Scaling effectively21%

Getting executive buy-in15%

Training team members in GenAI use5%

Finding the right areas for deployment6%

Protecting against risks5%

Something else (please specify in comments)4%

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CIO in IT Servicesa year ago

Choice of use cases by the business and corresponding choice of technology is also a blocker

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I am interested in people who have tried generative AI coding projects. In your experience, are there project attributes that make generative AI coding capabilities a "good fit"? Are there project attributes that are likely indicators that generative AI will not result in something useful? I would think complexity of requirements is a big factor. If the complexity of the project or its requirements is low - I assume genAI coding can get you within the ballpark. For instance, logic stores: if your project has critical business logic spread out all over the place and not centralized I think that generative AI would not be able to make sufficient sense of that.

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How frequently does your org update its GenAI training programs for staff? Do you change the training offered to align with new developments in GenAI or new tool capabilities?

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How are you approaching generative AI adoption in your organizations? Are you focusing first on quick-win use cases (like chatbots/automation) or deeper integrations into core platforms?

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Based on the current state of GenAI tools’ privacy protections, do you think vendors have made enough progress in protecting private/sensitive company data?

Yes, I feel our data is protected12%

Somewhat, they’ve improved but we need more protections45%

Not at all, they haven’t made any real progress here31%

Vendors vary too much to say8%

I don’t know1%

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Have software team sizes shrunk in your org as a result of AI tool integration?

Yes81%

No19%