废品管理公司WM的首席执行官吉姆·菲什(Jim Fish)表示,他十几岁的女儿曾经告诉他:她的同学里没有一个人想成为卡车司机。这句话也可以用来简洁地概况他所从事的行业未来。
菲什说:“我们最大的挑战在于劳动力,目前我们正在利用技术来解决这个问题。”他在《财富》(Fortune)杂志与波士顿咨询公司(BCG)联合主办的虚拟会议上分享了这个小段子。
在过去几年里,WM经历了一场重大变革。该公司将名称里的“废品管理”几个字更换为“WM”这两个缩写字母,使公司名称与可持续发展的愿望更加一致。菲什表示,VM在过去几年里投入了30亿美元来加强公司的回收基础设施,同时还在德克萨斯州、田纳西州和佛罗里达州等业务量不多的市场扩大产能。
然而WM真正的重大举措还在于减轻员工的工作负担。菲什说,找到驾驶卡车和操作重型设备的员工可能是个挑战,而且非常昂贵。据他说,WM垃圾车司机的平均工资接近10万美元,在旧金山等生活成本高的地区,平均工资可能接近20万美元。
因此,WM正在重建工厂,并积极运用新技术去减少那些人们未来可能不愿意从事的岗位。WM表示不打算裁员,但预计随着时间的推移,员工人数会因自然减员而减少。
除了菲什外,还有许多首席执行官在虚拟对话中分享了观点,他们一直在重新思考如何转型业务以保持优势。随着生成式人工智能等新兴技术快速发展,各行各业的公司都有望提高生产效率,重塑运营模式,并不断评估自己与竞争对手的差距。
但波士顿咨询公司的董事总经理兼高级合伙人莎伦·玛瑟(Sharon Marcil)表示,许多领导者也应该把客户反馈放在考虑之首。她说:“如果你忽视了这一点,你可能也在转型,但不一定是朝着正确的方向。“
寻找机会和解决方案
友善工业国际(Goodwill Industries International)是一家非营利组织,该机构的竞争对手就包括越来越多的营利性企业。机构的首席执行官史蒂夫·普雷斯顿(Steve Preston)在虚拟会议上表示:“我们需要真正提高标准,与资金雄厚的企业去竞争。”。
这家非营利组织正专注于建设实体场地和扩大在线业务两手抓,带来的结果是一个日益复杂完善的生态系统,他们在回收商品的新买家和卖家之间架起了一座桥梁,同时也带来了许多寻求增长的新机会。
与此同时,艾斯本科技公司(Aspen Technology)的首席执行官安东尼奥·佩特里(Antonio Pietri)在最近的一次投资者日活动上进行了主题为“值得信赖的转型”的演讲。他在演讲结束后表示,该软件公司的客户正在寻找解决方案帮助自身脱碳,将能源从化石燃料转向其它能源。
佩特里表示:“然后我们必须自我转型,以便在这个转型过程中保持竞争优势。” 2022年,该公司与艾默生电气(Emerson Electric)的软件部门完成了110亿美元的合并,使公司员工人数有所增加。
佩特里表示,为了帮助客户实现跨越数年的能源转型目标,艾斯本等公司被寄予更大厚望去进一步打开思路,广泛地思考如何利用人工智能,从而使工程、物理、化学和数学领域的工作更加智能,更加可预测。
与AI共同转型
许多首席执行官认同佩特里的观点,他们非常关注人工智能项目。今年早些时候,Docusign公司推出了一个基于人工智能的“智能协议管理”平台,使客户能够集中管理所有供应商协议,并借助人工智能来帮助跟踪哪些合同需要续签,哪些合同可能不符合公司的内部标准,并针对供应商的长期表现生成洞察分析报告。
Docusign首席执行官艾伦·泰格森(Allan Thygesen)在谈到5月份新推出的产品时说:“我们看到了大量的早期状态的产品。”
从事暖通空调行业的特灵科技公司(Trane Technologies)首席执行官大卫·瑞戈纳尼(Dave Regnery)表示,人工智能这一重要工具也能帮助建筑物提高能源效率。他指出,普通商业建筑浪费的能源可能高达30%。由于这个原因,特灵多年来一直借助结构化数据来重新思考建筑设计。生成式人工智能还能帮助挖掘非结构化数据,包括多媒体内容、电子邮件、音频文件等。
瑞戈纳尼说:“当你用非结构化数据来加强这种能力时,真正的机会就会出现。”
商业服务和新闻提供商汤森路透(Thomson Reuters)的首席执行官史蒂夫·哈斯克(Steve Hasker)表示,他要确保公司所有员工每天都在使用生成式人工智能。在他的领导下,汤森路透将生成式人工智能技术融入了面向法律、税务和会计行业的产品中,他补充说,记者们也在大量运用这一技术。
哈斯克经历过其它重大技术进步带来的变化,包括个人电脑、移动设备、社交媒体和云计算的出现,他认为最新的新技术创新浪潮将是最具影响力的。
哈斯克说:“就其颠覆性力量而言,生成式人工智能将超过其它任何新技术。”(财富中文网)
译者:辜傲诗
废品管理公司WM的首席执行官吉姆·菲什(Jim Fish)表示,他十几岁的女儿曾经告诉他:她的同学里没有一个人想成为卡车司机。这句话也可以用来简洁地概况他所从事的行业未来。
菲什说:“我们最大的挑战在于劳动力,目前我们正在利用技术来解决这个问题。”他在《财富》(Fortune)杂志与波士顿咨询公司(BCG)联合主办的虚拟会议上分享了这个小段子。
在过去几年里,WM经历了一场重大变革。该公司将名称里的“废品管理”几个字更换为“WM”这两个缩写字母,使公司名称与可持续发展的愿望更加一致。菲什表示,VM在过去几年里投入了30亿美元来加强公司的回收基础设施,同时还在德克萨斯州、田纳西州和佛罗里达州等业务量不多的市场扩大产能。
然而WM真正的重大举措还在于减轻员工的工作负担。菲什说,找到驾驶卡车和操作重型设备的员工可能是个挑战,而且非常昂贵。据他说,WM垃圾车司机的平均工资接近10万美元,在旧金山等生活成本高的地区,平均工资可能接近20万美元。
因此,WM正在重建工厂,并积极运用新技术去减少那些人们未来可能不愿意从事的岗位。WM表示不打算裁员,但预计随着时间的推移,员工人数会因自然减员而减少。
除了菲什外,还有许多首席执行官在虚拟对话中分享了观点,他们一直在重新思考如何转型业务以保持优势。随着生成式人工智能等新兴技术快速发展,各行各业的公司都有望提高生产效率,重塑运营模式,并不断评估自己与竞争对手的差距。
但波士顿咨询公司的董事总经理兼高级合伙人莎伦·玛瑟(Sharon Marcil)表示,许多领导者也应该把客户反馈放在考虑之首。她说:“如果你忽视了这一点,你可能也在转型,但不一定是朝着正确的方向。“
寻找机会和解决方案
友善工业国际(Goodwill Industries International)是一家非营利组织,该机构的竞争对手就包括越来越多的营利性企业。机构的首席执行官史蒂夫·普雷斯顿(Steve Preston)在虚拟会议上表示:“我们需要真正提高标准,与资金雄厚的企业去竞争。”。
这家非营利组织正专注于建设实体场地和扩大在线业务两手抓,带来的结果是一个日益复杂完善的生态系统,他们在回收商品的新买家和卖家之间架起了一座桥梁,同时也带来了许多寻求增长的新机会。
与此同时,艾斯本科技公司(Aspen Technology)的首席执行官安东尼奥·佩特里(Antonio Pietri)在最近的一次投资者日活动上进行了主题为“值得信赖的转型”的演讲。他在演讲结束后表示,该软件公司的客户正在寻找解决方案帮助自身脱碳,将能源从化石燃料转向其它能源。
佩特里表示:“然后我们必须自我转型,以便在这个转型过程中保持竞争优势。” 2022年,该公司与艾默生电气(Emerson Electric)的软件部门完成了110亿美元的合并,使公司员工人数有所增加。
佩特里表示,为了帮助客户实现跨越数年的能源转型目标,艾斯本等公司被寄予更大厚望去进一步打开思路,广泛地思考如何利用人工智能,从而使工程、物理、化学和数学领域的工作更加智能,更加可预测。
与AI共同转型
许多首席执行官认同佩特里的观点,他们非常关注人工智能项目。今年早些时候,Docusign公司推出了一个基于人工智能的“智能协议管理”平台,使客户能够集中管理所有供应商协议,并借助人工智能来帮助跟踪哪些合同需要续签,哪些合同可能不符合公司的内部标准,并针对供应商的长期表现生成洞察分析报告。
Docusign首席执行官艾伦·泰格森(Allan Thygesen)在谈到5月份新推出的产品时说:“我们看到了大量的早期状态的产品。”
从事暖通空调行业的特灵科技公司(Trane Technologies)首席执行官大卫·瑞戈纳尼(Dave Regnery)表示,人工智能这一重要工具也能帮助建筑物提高能源效率。他指出,普通商业建筑浪费的能源可能高达30%。由于这个原因,特灵多年来一直借助结构化数据来重新思考建筑设计。生成式人工智能还能帮助挖掘非结构化数据,包括多媒体内容、电子邮件、音频文件等。
瑞戈纳尼说:“当你用非结构化数据来加强这种能力时,真正的机会就会出现。”
商业服务和新闻提供商汤森路透(Thomson Reuters)的首席执行官史蒂夫·哈斯克(Steve Hasker)表示,他要确保公司所有员工每天都在使用生成式人工智能。在他的领导下,汤森路透将生成式人工智能技术融入了面向法律、税务和会计行业的产品中,他补充说,记者们也在大量运用这一技术。
哈斯克经历过其它重大技术进步带来的变化,包括个人电脑、移动设备、社交媒体和云计算的出现,他认为最新的新技术创新浪潮将是最具影响力的。
哈斯克说:“就其颠覆性力量而言,生成式人工智能将超过其它任何新技术。”(财富中文网)
译者:辜傲诗
Jim Fish, CEO of waste management company WM, says the future of his industry can be succinctly summarized in an observation shared by his teenage daughter: None of her classmates aspire to become a truck driver.
“Our biggest challenge—and we are using technology to address it—is labor,” says Fish, who shared the anecdote during a virtual session hosted by Fortune in partnership with consulting firm BCG.
WM has been undergoing a pretty major transformation over the past several years. It rebranded itself from Waste Management to WM in a push to align more with sustainability aspirations. Fish says the company has spent $3 billion over the past few years to bolster WM’s recycling infrastructure, while also expanding capacity in markets where it didn’t have a big presence, like Texas, Tennessee, and Florida.
But a big initiative at WM involves reducing the company’s labor burden. Finding employees to drive trucks and operate heavy equipment can be a challenge—and very expensive, Fish says. The average salary for a WM trash truck driver is approaching $100,000, according to Fish, and can sail to close to $200,000 in regions like San Francisco where the cost of living is high.
As a result, WM is rebuilding plants and leaning on technologies that can reduce the number of employees that are needed, for jobs that the future workforce doesn’t necessarily want anyway. WM says it doesn’t plan to cut jobs, but expects to see headcount reduced over time through attrition.
Fish was just one of many CEOs who shared during the virtual conversation that they were constantly rethinking how to transform their businesses to maintain an edge. As emerging technologies like generative AI advance quickly, companies across all sectors are expected to increase productivity, remake their operations, and constantly evaluate how they stand versus competitors.
But BCG’s Sharon Marcil, a managing director and senior partner, says many leaders should also keep customer feedback top of mind, too. “If you lose sight of that, you can be transforming, but not necessarily in the right direction,” she says.
Seeking opportunities and solutions
The mix of competitors that nonprofit Goodwill Industries International is contending with includes an increasing number of for-profit businesses. “We just need to really raise the bar and compete against very well-funded corporate competitors,” says Goodwill CEO Steve Preston at the virtual session.
The nonprofit is focusing on both building out brick-and-mortar locations while also expanding the company’s online presence. That’s resulting in an increasingly complex ecosystem to connect new buyers and sellers of recycled goods, but also a lot of new opportunities to hunt for growth.
Meanwhile, on the heels of a recent “trusted to transform” themed investor day presentation, CEO Antonio Pietri of Aspen Technology says the software company’s customers are looking for solutions to help them as they decarbonize and transform their energy sources away from fossil fuels.
“We then have to transform ourselves to be able to be uniquely positioned along the transformation,” says Pietri. The company’s employee count has swelled as a result of an $11 billion merger with Emerson Electric’s software units, a deal that closed in 2022.
To help clients achieve their multi-year energy transition goals, Pietri says there’s a greater expectation for Aspen and others to think expansively about the use of AI to make engineering, physics, chemistry, and math more intelligent and predictable.
Transforming with AI
Many CEOs are on the same page as Pietri, focusing big on AI initiatives. Earlier this year, Docusign unveiled an AI-powered “intelligence agreement management” platform, which offers customers the ability to centralize all their vendor agreements and use AI to help track which contracts are up for renewal, the ones that may be out of compliance with a company’s internal standards, and generate insights into how vendors are performing over time.
。
“We’re seeing tremendous early intakes,” says Docusign CEO Allan Thygesen of the offering that launched in May.
AI is also an important tool that can help make buildings more efficient, says Dave Regnery, CEO of Trane Technologies, which sells heating, air conditioning, and ventilation systems. He points out that average commercial building can waste up to 30% of the energy it consumes. With that in mind, Trane has been using structured data for years to rethink building design. Generative AI can also help tap into unstructured data, which can include multimedia content, emails, audio files, and more.
“When you augment that with unstructured data, that’s where the opportunity really happens,” Regnery says.
And Steve Hasker, CEO of business services and news provider Thomson Reuters, says his intention is to ensure that all of the company’s employees are using generative AI every day. He’s injected generative AI into the products that Thomson Reuters sells to legal, tax, and accounting clients, but adds that journalists have embraced the technology, too.
Having experienced other major technology advancements including the advent of the personal computer, mobile, social media, and cloud computing, Hasker thinks the latest new technology innovation wave will be the most impactful.
“Generative AI is going to be bigger than any one of those, in terms of its disruptive power,” says Hasker.