
据Haslinda Amin报道,富兰克林邓普顿首席执行官珍妮·约翰逊指出,大型科技公司发行的短期债务为投资者提供了参与人工智能领域的良机,因为这些公司拥有强劲的现金流和稳健的资产负债表。
Templeton Chief Executive Officer Jenny Johnson said short-term debt issued by major technology companies offers investment opportunities in artificial intelligence, citing strong cash flows and balance sheets.
约翰逊表示,这些公司不仅获得了传统债权人的资金支持,其债务结构中还出现了由大型云计算服务商及供应商作为担保方或贷款方的表外金融工具,使得整体债务结构变得“极为复杂”。而长期持有此类债券则可能让投资者面临技术发展前景的不确定性风险。
Johnson said these companies are well funded not just with traditional creditors. The debt structure now includes off-balance-sheet instruments guaranteed by hyperscalers and suppliers who also act as lenders, making it “very complex.”Longer-term holdings also expose investors to advances in technology that may be uncertain.
在新加坡举行的米尔肯研究所亚洲峰会上,约翰逊接受彭博社电视采访时说道:“对我来说,投资长期债券的风险稍大一些。不过,收益率达9%的两年期债券确实相当诱人!”她认为,人工智能对传统行业的变革效应尚未完全显现,真正的生产力提升仍需时日。目前美国仅实现了2%的生产力增长,这主要归功于过去20年间已普及的各项技术,人工智能要真正融入整个经济体系尚需过程。
“Going longer-term on those would be a little bit more scary for me,” she said in a Bloomberg TV interview from the sidelines of the Milken Institute Asia Summit in Singapore. “But you know, two-year paper at nine, pretty dang good!”The AI story has yet to transform traditional business sectors, and the real productivity gains are still ahead, Johnson said. The current 2% productivity gains in the US reflect technologies that have been around for the last two decades, and it will take time for AI to work its way into the system.
约翰逊强调:“人工智能的潜力在传统产业中尚未得到充分发挥,未来才会逐步显现。”她以医疗行业为例,指出该领域已开始显现人工智能的应用成效:多家药企发现潜在药物研发项目数量显著增加,临床试验的精准度也有所提升,这些进步有望提高药物疗效并加速审批流程。
“The AI story has not played out at all in sectors and traditional businesses,” Johnson said. “That is to come.”Johnson pointed to healthcare as an example of early AI impact beginning to materialize, with companies reporting a bigger pipeline of potential drug discoveries and greater precision in clinical trials that could lead to higher efficacy and faster regulatory approval.