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Home»Machine-Learning»AiThority Interview with Ian Goldsmith, CAIO of Benevity
Machine-Learning

AiThority Interview with Ian Goldsmith, CAIO of Benevity

Editorial TeamBy Editorial TeamJuly 7, 2025Updated:July 7, 2025No Comments7 Mins Read
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AiThority Interview with Ian Goldsmith, CAIO of Benevity
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The position of the CAIO {Chief Synthetic Intelligence Officer} is gaining momentum as increasingly more organizations are realizing the necessity for sturdy management to information them by the complexities of AI adoption. Ian Goldsmith, Benevity’s new CAIO weighs in with a number of observations and ideas round this evolution on this AiThority.com interview:

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Hello Ian, inform us about your self and what you’re wanting ahead to as Benevity’s first CAIO.

I’m a longtime expertise and product chief with a deep fascination for AI and its potential to enhance lives. For instance, one of many tasks I’m most happy with is constructing an AI system to foretell and stop automotive crash fatalities. It’s now being deployed throughout a rising variety of municipalities all through the U.S.

As Benevity’s first chief synthetic intelligence officer, I’m excited to convey that very same spirit of innovation to social duty. I’m wanting ahead to utilizing the ability of AI to drive higher effectivity and engagement in company social duty (CSR) applications, serving to corporations and their folks make a good larger impression of their communities and internationally.

What’s most enjoyable about this upcoming position that in time most corporations will in all probability have a seat for?

I’m thrilled to step into a task that I consider shouldn’t be solely thrilling but in addition probably the most transformative seats on the C-level at the moment. The chief AI officer has the distinctive alternative to unlock huge enterprise worth by discovering solely new methods of doing issues – methods which can be solely potential by the appliance of AI.

It’s a task that I feel many corporations will undertake in time, and for good motive. The CAIO will form the way forward for enterprise by reworking workflows, accelerating product innovation, and reimagining the shopper expertise. It’s additionally a place that cuts throughout capabilities, bridging the hole between advanced AI capabilities and actionable enterprise technique, and finally turning expertise into measurable outcomes.

What’s particularly compelling is that the CAIO’s duty isn’t nearly preserving tempo; it’s about setting it. This position is central to creating aggressive benefit in a world the place AI is evolving quickly. On the identical time, it carries an essential duty: to be the guardian of accountable AI innovation, addressing essential issues like bias, privateness, and the way forward for work.

From strengthening data-backed decision-making to main with a way of strategic and moral function, CAIOs have the potential to make an impression that extends far past any single firm. As AI reshapes the world, this position presents the prospect to assist reimagine using expertise for good. I’m excited to be a part of that.

Additionally Learn: AiThority Interview with Pete Foley, CEO of ModelOp

What kind of expertise ought to CAIOs have to make sure higher AI deployment, implementation and AI primarily based upskilling to make sure groups are at par with the most recent tech to allow them?

To be efficient within the position and guarantee profitable AI deployment, implementation, and upskilling throughout groups, CAIOs should convey a singular and evolving set of expertise.

Firstly, technical expertise and AI experience should be paired with a builder mentality. Whereas this position is about understanding the expertise, it’s additionally about being hands-on and able to creating options from the bottom up. In contrast to the final decade of B2B SaaS, which was usually centered on incremental investments, this new period calls for a distinct type of profile – one which thrives in environments of speedy iteration and daring experimentation. Given the speedy tempo of change within the AI ecosystem, a CAIO should be a quick learner with a robust capability to soak up and synthesize new developments as they emerge. A background in smaller, fast-moving corporations which have scaled efficiently is usually a sturdy asset.

Simply as essential as technical expertise for a CAIO are the enterprise expertise that go together with being profitable in any C-suite position. The flexibility to analysis and ship intuitive, client-facing options goes hand-in-hand with overseeing market evaluation, setting aggressive technique, making strategic construct/purchase/companion choices, and creating the enterprise instances for proposed AI capabilities. It’s this mix of deep technical understanding, strategic considering, and user-focused execution that enables a CAIO to drive actual worth and guarantee groups are utilizing AI successfully and responsibly.

What different roles do you foresee cropping up within the business as AI turns into extra mainstream?

As AI turns into extra mainstream, I foresee the position of the CAIO turning into synonymous with innovation. Over time, the AI operate could evolve in a few methods: it might be mixed with related roles similar to chief product officer, chief expertise officer, and chief data officer. This may enable the CAIO to even have oversight into different features of the enterprise – exterior product improvement, analysis and improvement, and inner use instances, respectively.

Alternatively, as AI turns into a part of all the things we do, the externally dealing with features of the CAIO position may break up off into a brand new place – one thing like a chief innovation officer – centered particularly on driving innovation throughout the group.

Additionally Learn: AiThority Interview with Dr. William Bain, CEO and Founding father of ScaleOut Software program

Are you able to share 5 ideas round the way forward for AI earlier than we wrap up?

The way forward for AI is already right here. All the pieces we do is within the technique of being remodeled by AI, making it probably the most foundational expertise shifts of our time. After we look again at how a lot has modified over the previous two years, it turns into virtually unimaginable to think about the size and tempo of change we’ll see within the subsequent two. AI is evolving so quickly that it’s turning into deeply embedded in each how we work and the way we dwell.

Equally, I consider we’ll all discover ourselves more and more supported by AI in ways in which drive not solely higher productiveness but in addition improved high quality of labor and life. As AI continues to combine into our on a regular basis instruments and environments, it is going to improve what we’re able to, permitting us to focus extra on creativity, technique, and impression of our work.

On the identical time, we now have to be aware of the challenges that AI poses. Some of the urgent is making certain that AI doesn’t widen the digital divide. There are large alternatives to make use of AI to perform nice issues – like bettering schooling and creating assist applications for deprived and underserved communities. However as a society, we have to keep centered on ensuring these alternatives are accessible to all.

On this planet of social impression, AI is already starting to unlock new methods of doing good whereas additionally supporting sturdy enterprise outcomes. In accordance with Benevity’s 2025 State of Company Objective report, one-third of nonprofits have carried out AI in some kind, and 82% of corporations consider these nonprofits need assistance to leverage AI successfully. At Benevity, AI is central to our core enterprise technique. We goal to be the AI supplier for the nonprofit group, serving to lengthen the attain of our purchasers’ CSR applications and enabling much more constructive impression on the planet.

Our purchasers perceive that function is a robust multiplier of efficiency. Objective-led corporations noticed 4 occasions higher valuations through the pandemic, have 40% greater retention, 30% extra innovation, and skilled 5 occasions the compound annual development price in comparison with S&P 500 averages. And newer staff who have interaction in purpose-driven applications are 52% much less prone to depart. With AI, that energy of function felt throughout staff, companies and their communities will solely develop stronger.

[To share your insights with us, please write to psen@itechseries.com]



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