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Plus: Why The Enterprise AI Discussion Is Shifting To Strategy

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AI’s place in the enterprise is maturing, and it’s no longer seen as “just an IT thing,” but that doesn’t mean that it has outgrown its problems. Forbes Research talked to 1,075 C-suite executives at large global companies in August and September and uncovered new challenges that are less about figuring out the basics of AI, and more about using it strategically.

Just over half of executives—53%—are using AI “across the enterprise,” while the remainder are using it for “some initiatives,” the survey found. This is actually a decrease from the last two years—63% were using AI enterprise-wide in 2024, and 62% reported that blanket usage in 2023. This may indicate that companies are figuring out what AI can do best for them and concentrating its use in certain areas that have the most impact. Still, 56% are reporting an ROI of under 5% for their AI initiatives, so those more impactful uses are still developing.

Right now, AI is relied upon as a strategic partner for several companies. More than four out of five respondents said AI is delivering significant gains to enhance decision making, operate more efficiently and improve product or service quality. Many of these functions are outside the traditional realm of the CIO’s office, as CEOs are becoming much more involved in AI decision making. The proportion of CEOs making decisions on AI has more than doubled since last year: 55% now from 26% last year. COOs and CFOs have also seen their involvement in AI decisions exponentially increase, with COOs going from 2% last year to 41% this year, and CFOs increasing from 1% last year to 38% this year. CIOs are still the most involved in AI decisions, taking part in 71% of them.

As companies transition from the novelty of implementing AI to making it work effectively, there are many bumps in the road. Matt Calkins, CEO of AI-powered automation and orchestration platform Appian, says that there seems to be an “AI bubble” now—not referring to what’s going on with AI company valuations, but because prices for AI are high and the value to companies is lacking. He told me that’s more of a function of using AI for trivial tasks. An excerpt from our conversation about AI, as well as progress toward regulations, is later in this newsletter.

We are currently accepting nominations for the Forbes CIO Next 2025 list. We’re looking for innovators who have had significant impacts both at their own companies and for other tech leaders on the whole. (And yes, you can nominate yourself.) Nominations are accepted until 5 p.m. ET October 30.

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Megan Poinski Staff Writer, C-Suite Newsletters

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In today’s CIO newsletter:
  • Notable News: Nearly half of California’s private AI companies have no women on their boards
  • Bits + Bytes: Why trust is the most important component for AI regulations
BIG DEALS
AI is such a powerful and burgeoning area of business, there is no way that a single company will be able to dominate it. This week, OpenAI announced a multibillion-dollar deal with AMD, in which OpenAI plans to acquire and deploy six gigawatts worth of AMD’s AI chips. OpenAI plans to deploy 1 gigawatt of AMD’s Instinct MI450 GPUs next year. An SEC filing from AMD reveals that the company issued OpenAI a warrant for up to 160 million shares—roughly 10% of the company—at one cent per share. Those shares will vest when share price milestones are met.

This deal gives AMD a significant boost in both business in general and in its standing in the AI ecosystem. The company’s stock is up more than 38% in the last week, and the deal is a guarantee that AMD will continue to be a major player. Vasmi Boppana, AMD’s senior vice president of AI, told Forbes’ Richard Nieva that the deal was the result of both the performance of AMD’s chips and their software, which can unlock AI’s power.

The OpenAI-AMD deal—and several others like it, involving tech companies that are working on AI platforms and infrastructure companies that make hardware or operate data centers—is an example of AI billionaires getting richer through deals with one another, writes Forbes’ Phoebe Liu. She writes that the spate of deals seems to stem from a stampede mentality. 

“There’s so much impatience and desire to move quickly, and fear of getting left behind, that there’s a very high premium on getting the most you can the fastest,” Stella Biderman, executive director of AI nonprofit EleutherAI, told Liu.

The tech billionaire who has so far profited the most this year from the AI boom is Oracle’s Larry Ellison, but Oracle isn’t the only legacy tech company reinvigorated by AI. On Wednesday, Dell’s stock hit an all-time intraday high after nearly doubling its long-term guidance on demand for data centers. “As AI continues to expand into businesses and governments around the world, the opportunity ahead is massive,” chairman and CEO Michael Dell said in a statement.

ARTIFICIAL INTELLIGENCE
OpenAI’s ChatGPT can now seamlessly connect with third-party apps, CEO Sam Altman said this week at OpenAI’s DevDay event. Right now, Booking.com, Canva, Coursera, Figma, Expedia, Spotify and Zillow are all available on ChatGPT. A ChatGPT user can use the chatbot to ask Spotify to make them a playlist, or to ask Zillow to find available real estate that meets specific location, size and price criteria. 

This ChatGPT functionality comes through OpenAI’s new Apps SDK platform. In a statement, OpenAI said that other companies will be connected with the chatbot soon, including Instacart, Target, AllTrails and Uber. Any developer can work now on building apps to connect with ChatGPT through the Apps SDK platform, which is available as a preview. OpenAI says it will start accepting app submissions for review and publication, and will share details on potential monetization.

NOTABLE NEWS
AI technology is still a boys’ club. A new report from the California Partners Project, Crunchbase and social impact organization illumyn Impact found that 43% of private AI companies have no women on their boards of directors, writes Forbes senior contributor Kim Elsesser. And just 5% of boards had an equal or greater share of women. 

While this disparity might just arise from the nature of private company boards—they’re often made up of founders and early funders, two areas in which women tend to be underrepresented—companies should be diligent and try to broaden their board representation. Adding independent director seats to boards—for people who have something to add, but aren’t directly involved with the company—is one way. But calling out this disparity also can be enough to make a difference. Crunchbase writes that five years ago, a third of all California-based public companies had no women board members. Nowadays, all-male boards are a very rare exception.

Appian CEO Matt Calkins.   Appian
BITS + BYTES
How To Deflate The ‘AI Bubble’ And Make The Technology More Valuable
When most people talk about an “AI bubble,” they’re referring to the sky-high valuations of companies that deal with aspects of the technology, which are consistently pushing the stock market to new highs. For Matt Calkins, CEO of AI-powered automation and orchestration platform Appian, the hype is more about the problem facing many companies as they implement the technology: Prices for AI are high and the value to companies is lacking. Calkins said this isn’t because AI isn’t helpful, but that companies are using it for mundane tasks that really don’t make a difference. 

I talked to him about how companies can shift that paradigm, as well as the regulatory outlook for AI systems and technology. This conversation has been edited for length, clarity and continuity.

You have a company using AI, but they’re using it for more clerical tasks that won’t make a huge difference to the company’s operations: Assistance with their help desk, refining presentations and documents, etc. How does this company go about reassessing what they can do with AI and how to make it work in a way that will impact the company?

Calkins: You missed one descriptor of that sample company: They’re disappointed. They were expecting a revolution, and they tried all the things that seemed like the first application for AI. They went ahead and plugged in the chatbot, and they’re polishing their slides, and it’s just not mattering. So many companies are like this. 

It reminds me of what [economist] Robert Solow once said about the computer revolution back in the ‘80s: You could see it everywhere except in the productivity statistics. I feel like that’s true right now of AI: You can see AI everywhere except in the productivity statistics. All the companies out there are doing what they think they’re supposed to do, what they heard in the big speech, what they saw in the big commercial, what they read in the pitch document, and it didn’t work. It’s not that it failed, it just didn’t matter. And so where do you start with an organization like that?

First of all, AI is going to matter. Don’t give up. We can still make a difference here. You just have to connect the AI to real work. I recommend we do that in a simple predictable context. It’s not going to be exciting, it’s going to be straightforward. We’re going to give it a job on a team in a process that matters to you. And you’ll see that AI is a very good worker. If AI stands to the side and waits to be asked a question or to polish a slide or something like that, AI is an indifferent contribution to your productivity. But as a worker, it’s something special. 

We’re going to make AI a worker, which just means we’re going to connect it to real work and track how it does. It’s going to do spectacularly because it is an exceptional piece of technology. We just need to set the expectations correctly and put it in the right place to make a difference.

From a business standpoint, AI could freeze in time today for five years and it wouldn’t bother us at all. Right now, we need five years to digest this technology and connect it into real work to make it part of the way important work gets done. We don’t need to wait for AGI or for any other technological miracles. We need to learn how to connect this beautiful technology to real work. That’s where the value’s going to come from. People who think AI is disappointing, it’s just because they haven’t used it right.

We talked about AI regulations last year. What do you think about where things are now?

A lot’s changed, but I still think we need to do better. I believe that we have an opportunity to set clear, fair rules for a technology and thereby gain the most important thing that you could gain—which is not being the first to get a certain amount of data. The most important quantity that we could earn is trust. The most important quantity that determines the future of AI and its relationship with users and its technical sophistication is trust regulations—particularly stable, predictable regulations—to give us the framework in which the industry can build trust. 

The uncertainty right now is it’s self-destabilizing. On top of that, in some cases, AI is operating outside the law because the law is unclear. And I don’t believe that’s constructive for predictability, nor for rights. That’s data rights, privacy rights. I think it’s unhealthy the way it’s operating today.

Last week, California Governor Gavin Newsom signed a law establishing a comprehensive set of AI regulations. Considering the outsized role the state plays in the global tech industry, do you see this as a baseline for future state or federal regulation of AI?

To me, this law checks the box as regulation even though it really doesn’t fill some of the most important gaps that regulation needs. For example, it does not have anything about privacy or copyright. It doesn’t even touch on it. Why would a major piece of AI legislation come out that doesn’t even touch on privacy and copyright ownership? It’s because the industry basically wrote it and they just don’t want to talk about that.

This is not a good standard on which to base other laws. It lets the industry off the hook-on critical things. Also, it doesn’t talk about alignment. It talks about auditing and transparency but not about building AI models that comply with the wishes of their instructors.

I think the federal government has virtually no chance of adopting this—at least during this presidency. I don’t see the federal government anywhere close to signing on to legislation like this even though it is industry-friendly.

COMINGS + GOINGS
  • Digital infrastructure provider Vertiv announced that Scott Armul will take on an expanded role as chief product and technology officer, effective January 1. Armul currently works as Vertiv’s executive vice president, global portfolio and business units, and he will succeed Stephen Liang, who is retiring.
  • Prototyping and manufacturing firm Protolabs appointed Marc Kermisch as its new chief technology and AI officer, effective October 13. Kermisch most recently worked as CTO for Emergent Software, and he will succeed Oleg Ryaboy.
  • Consumer wedding platform The Knot tapped John James as chief technology officer. James most recently led the technology team at Ouro, and has also worked in leadership at Expedia Group.
Send us C-suite transition news at forbescsuite@forbes.com.
STRATEGIES + ADVICE
The easiest surface for a cyberattack is the human mind. Computer-based cybersecurity tactics are important, but it could be helpful to use behavioral science to enhance your enterprise’s security.

Some Silicon Valley startups are bringing the 70-hour work week back. And while there is a lot to do, extreme hours can undermine worker (and executive) performance. Here’s why longer hours are not a good idea. 

Quiz
Artist Jake Elwes turned the terms and conditions of which online company into a genre-spanning opera?
A.Uber
B.Facebook
C.OpenAI
D.TikTok
Check if you got it right here.