Fortune | FORTUNE 前天 01:40
企业拥抱AI需谨慎,平衡创新与风险
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文章探讨了企业在快速发展的AI浪潮中,如何平衡对AI技术的热情与实际部署中的挑战。以Akamai为例,公司从早期“百花齐放”的AI测试策略,转向更加中心化的模式,倾向于与供应商合作,并进行小范围、有针对性的试点。尽管AI展现出巨大的生产力提升潜力,如GitHub Copilot的成功案例,但文章也指出,AI技术的成熟度、成本结构的模糊性以及潜在的错误率仍是企业CIO们面临的考量。同时,企业也需关注内部数据安全和可控性,对于完全自主研发AI工具持谨慎态度,并对新兴的“代理AI”保持观望。总体而言,企业在拥抱AI时,需要采取一种审慎、有策略的方法,确保在追求效率的同时,有效管理风险。

🚀 **AI需求激增与企业挑战并存**:文章指出,当前企业对AI的需求呈现爆发式增长,但这种热情也给IT领导者带来了管理和部署新AI工具的巨大压力。Akamai从鼓励广泛实验的“百花齐放”策略,转向更集中的供应商合作模式,以应对AI技术快速迭代带来的组织挑战。

⚖️ **供应商合作与谨慎试点是主流**:为了有效评估AI工具的价值和风险,Akamai等企业倾向于与Cisco、Salesforce、Google等成熟供应商以及AI初创公司合作,并通过小范围试点来深入了解技术能力、未来路线图以及内部所需的调整。这种模式有助于在投入大规模部署前,规避不成熟技术带来的不确定性。

💡 **AI应用潜力与现实考量**:尽管GitHub Copilot等工具已在软件工程领域展现出显著的效率提升,但文章也坦承AI技术仍存在学习曲线和潜在错误。CIO们在评估新AI工具时,依然关注可衡量的生产力效益、技术的成熟度以及对供应商提出的“下一版本解决”的回应,同时对成本结构保持警惕。

🔒 **内部开发与外部解决方案的权衡**:对于特定业务需求,企业可能寻求与AI初创公司合作开发内部AI工具,例如Akamai为销售团队构建的聊天机器人。然而,对于更广泛的应用,企业倾向于利用外部供应商提供的解决方案,以降低自主研发的风险和成本,并在AI代理等新兴领域采取观望态度。

🤝 **鼓励创新但需有效管控**:尽管IT部门加强了对AI战略的控制,但Akamai仍鼓励员工提出新的AI想法和用例。关键在于如何在鼓励创新的同时,通过安全措施和成本控制来确保AI的有效和负责任的应用,实现“鼓励,而非劝阻”的策略。

“The demand for AI is out of control,” says Prouty. “It feels like a tsunami. Everyone feels like they need AI.”

While such enthusiasm may make it easier for Akamai to see strong adoption rates when new AI tools are deployed, it can also come with organizational challenges for leaders like Prouty, who oversees the company’s global IT organization and is responsible for assessing, testing, and deploying new AI tools to be used by over 9,000 employees globally.

Following the beginning of the generative AI boom in late 2022, Akamai initially embraced a “thousand flowers bloom” strategy for AI. The company quickly set up internal infrastructure that would give employees a safe “sandbox” to test use cases. While none of these AI applications were intended for full production, Akamai saw the value in encouraging experimentation. But only up to a point. 

“It didn’t make sense to me as a CIO that I would have people out in the Akamai ecosystem just developing AI and developing copilots,” explains Prouty, a 26-year veteran at Akamai. 

Now, Prouty prefers a more centralized approach and has adopted the thesis that most generative AI use cases that Akamai will adopt will come from the company’s vendors, including Cisco, Salesforce, and Google. Her team spends a lot of time with vendors, including a wide variety of AI startups that pitch Akamai, to better understand what their technologies can deliver, their future innovation roadmaps, and the changes that Akamai may need to make internally so it can best tap into these AI tools and generate meaningful productivity gains. 

When Akamai does opt to move forward with an AI feature, it does so in a highly measured rollout. “We’re sort of looking at as many of our vendors as we can in a very small pilot way, to understand what it is they’re offering and how it’s going to benefit us,” says Prouty, noting that she still has concerns about the maturity of AI technology and about the “murky” cost structures she’s seen from some vendors.

Each time an AI pilot is launched, Akamai creates a team chat channel in Webex so that people can share what’s working—or not working—when trying new AI capabilities.

Github Copilot has been rolled out under a “controlled release” for software engineers and in some cases, projects that would take weeks can be achieved in hours. But in other cases, the code written by the AI assistant doesn’t make sense and more work is needed to fix the errors. “There’s a learning curve,” says Prouty.

There is also some internal appetite to test offerings from other AI coding assistants, including Cursor and Anthropic’s Claude. But before Prouty signs off on that, she wants to really home in on measurable productivity benefits.

“I am still seeing that the technology is not quite there,” says Prouty. Workers still hit a lot of roadblocks when adopting these new AI tools and when that’s conveyed to vendors, they’re quick to say, “‘Oh yeah, that’s coming in the next release,’” she adds.

For some limited cases, Akamai sees a competitive advantage in building in-house AI tools. For example, the company partnered with French AI startup Dataiku to build a chatbot for the sales team, which taps into a blend of OpenAI’s LLMs and internal data from Akamai. The sales team is able to use this tool to pull a mix of private and public information about customers before making a pitch.

And while 2025 was christened as “the year of agents,” Akamai remains firmly on the sidelines when it comes to testing agentic AI. “I just don’t know if the technology is there yet,” says Prouty.

But even with the IT department exerting greater control of Akamai’s AI strategy, Prouty says she encourages an open-door policy when it comes to fielding new AI ideas.

“Let’s encourage, not discourage,” says Prouty. “Bring us your use cases. Let’s help you do that in a way that’s secure. But we’re going to put some cost controls around it.”

John Kell

Send thoughts or suggestions to CIO Intelligence here.

NEWS PACKETS

Salesforce debuts a new way to make it easier to build AI agents. Ahead of Salesforce’s annual Dreamforce customer conference this week, the software giant unveiled a new platform called Agentforce 360, which is intended to make it easier for businesses to build, control, and deploy AI agents. Rivals including Google and Amazon Web Services have also recently unveiled more centralized AI agent platforms as adoption of this technology is frequently stuck in the pilot phase. “Companies have invested a lot in AI, but they’re not getting the value,” Srini Tallapragada, president and chief engineering and customer success officer at Salesforce, said during a press briefing last week, according to CIO Dive.

Meta scoops up Thinking Machines Lab co-founder. Andrew Tulloch, an AI researcher and co-founder of Mira Murati’s Thinking Machines Lab, has left to rejoin Meta Platforms. Tulloch previously worked at Meta for 11 years and left in 2023 to join OpenAI before co-founding Thinking Machines Lab alongside Murati, who previously served as CTO at OpenAI, at the beginning of 2025. The Wall Street Journal reports that it is unclear which team Tulloch will be on at Meta. But the hire further highlights Meta CEO Mark Zuckerberg’s particularly aggressive push to poach top AI talent from competitors, hiring more than 50 top AI researchers from OpenAI, Google DeepMind, Apple, and others.

Broadcom hooks up with OpenAI. OpenAI is proving to have the “Midas Touch” on a large number of tech stocks and the latest to enjoy the glisten from the ChatGPT maker is Broadcom, which stands to generate billions in new revenue from a newly announced multi-year deal to sell the company’s custom chips and networking equipment to support the AI startup’s infrastructure needs. Under the terms of the deal, OpenAI will design the hardware and work with Broadcom to develop it. OpenAI’s recent long-term partnership with AMD (the sponsor of this newsletter) also sent shares of that chip supplier earlier in October, while Bloomberg reports that at OpenAI’s annual developers event, mere mentions of other companies like Figma, HubSpot, and Salesforce led to stock gains for those public companies.

ADOPTION CURVE

Executives say AI is now essential to their operations. Nearly three-quarters of executives say that their company would struggle to function without AI, a figure that rises to 77% of smaller companies with fewer than 10,000 employees, according to a survey of 1,500 IT business executives conducted by PagerDuty, which helps incident management for IT departments. A vast majority of the companies (84%) also reported that they are using AI in software development to write, review, or suggest code.

Additionally, the survey uncovered that three out of four companies have deployed at least one AI agent, with 25% saying they’ve deployed five or more. 81% of executives said they would also trust AI agents to take actions on a company’s behalf during a crisis, which could include a service outage or security event. But less optimistically, 85% say they need better procedures to detect errors or failures in AI tools and 84% of companies report experiencing at least one AI-related outage.

Courtesy of PagerDuty

JOBS RADAR

Hiring:

- The state of Wisconsin is seeking a CIO, based in Dane, Wisconsin. Posted salary: $148.5K/year.

- Amalgamated Bank is seeking a chief information security officer, based in New York City. Posted salary range: $240K-$260K/year.

- Mascoma Bank is seeking a SVP of IT, based in White River Junction, Vermont. Posted salary range: $142.1K-$191.9K/year.

- Instrumental is seeking a VP of engineering, based in Palo Alto, California. Posted salary range: $330K-$360K/year.

Hired:

- The Knot Worldwide appointed John James as CTO, reporting to CEO Raina Moskowitz. James joins the wedding-planning website from financial services company Ouro, where he served as SVP of engineering. He also previously worked as VP of technology at travel technology company Expedia Group.

- ASML Holding NV promoted Marco Pieters to the roles of EVP and CTO, reporting to CEO Christophe Fouquet. Pieters has had over 25 years at the Dutch semiconductor company, most recently as EVP for the product area of applications. He initially joined ASML in 1999 as a software designer.

- Ibex announced the appointment of Michael Ringman, joining the outsourcing company from industry peer Telus International, where he most recently served as CIO/CTO. Prior to that, Ringman worked at another outsourcing firm, TeleTech Holdings, where he served as VP of global technology infrastructure.

- JWP Connatix named Pat DeAngelis as CTO, joining the video technology company to advance its product roadmap. DeAngelis has  more than 20 years of leadership experience in the ad tech space, including serving as co-CTO at Innovid and CTO of Flashtalking.

- Sovos appointed Peter Gaffney as CIO, joining the compliance and tax reporting software provider after most recently serving as SVP and CISO for workforce management software provider Magnit. He has also held technology leadership roles at Oracle, Blue Cross Blue Shield, Condé Nast, and Ann Taylor.

- ConstructConnect appointed Gaurav Singal as CTO, where he will steer product development, IT, and security for the construction software provider. Singal joins ConstructConnect from payments firm Cantaloupe, where he served as CTO. He also previously served as CIO of the Georgia Lottery, chief product officer for the last mile division at XPO Logistics, and VP of technology at Goldman Sachs.

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AI 企业AI AI部署 Akamai IT战略 技术采纳 供应商管理 AI风险 人工智能 AI adoption Enterprise AI IT strategy Technology adoption Vendor management AI risk
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