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景顺 · 2026/08/03

对AI支出和美联储按兵不动的担忧是否合理?

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对AI支出和美联储按兵不动的担忧是否合理?

要点

市场对人工智能(AI)支出的担忧持续存在。但如果AI重塑全球经济,与未来所需相比,当前的投资水平或许在日后看来并不算高。

一些人担心美联储在抗击通胀方面落后于形势。但市场继续释放信号,表明对中期内通胀仍受控抱有信心。

在经历了一段显著上涨后,市场领导地位不断轮换,预期重新调整,一些投资者开始质疑此前的假设。我认为这些是健康的发展,而非市场基本面恶化。

当前投资者的焦虑情绪日益升温。市场回撤和波动是投资中的常态,但不可避免地会引发同样的问题:是否发生了重大变化?近期科技板块的疲软,尤其是芯片制造商和存储器公司,加剧了这些担忧。头条新闻用“大屠杀”来形容这一走势,从近期价格波动的角度看,这种描述可以理解。但如果放在更广阔的背景下,这个词就失去了部分冲击力。许多处于抛售中心的公司今年以来仍大幅上涨1,,此前几个季度已录得非凡涨幅。

退一步看,整个市场看起来并未分崩离析。

信贷市场通常更能反映潜在的经济压力,其表现一直相当具有韧性——信用利差得到控制,表明市场对增长恶化或金融状况收紧的担忧不大。2

与此同时,标普500等权重指数持续创出新高。3

这不是市场预示衰退或系统性问题的表现。相反,这更像是市场中最拥挤、最成功的板块在历史性上涨后的整固。

两个关键问题:AI和美联储

当前辩论的核心是两个关键问题。

首先,超大规模科技公司在AI算力竞赛中是否投资过度?如果是,对芯片、存储器、网络设备及相关基础设施的需求最终可能令人失望。

其次,美联储在抑制通胀方面是否落后于形势,从而迫使利率走高,对股票估值构成压力?

我发现自己对这两个论点都持反对意见。

AI:一股可能证明当前支出合理的经济力量

首先考虑科技方面的故事。此次抛售并非发生在需求疲软的背景下。事实上,基本面数据指向相反方向。AI生态系统中大部分企业的盈利依然强劲。主要供应商的积压订单持续增加,表明客户仍在寻求超出交付能力的产能。4 如果说有什么问题,挑战仍然在于供给而非需求。市场的担忧并非AI应用停滞,而是当前的投资水平是否已超过未来的回报。

这种区别很重要。归根结底,争论归结为投资者如何界定这一机遇。如果AI仅仅是又一次软件升级周期,那么对过度支出的担忧是可以理解的。但如果AI代表着全球经济的重组,其影响则大得多。后一种观点更具说服力。人工智能正日益渗透到每个行业,从医疗保健、制造业到金融服务和教育。如果这一判断正确,相对于未来十年可能需要的投资,当前的投资水平最终可能显得温和。计算能力、电力基础设施、网络容量和数据中心的建设可能比许多投资者目前预期的要走得更远。

通胀:美联储似乎并未落后于曲线

在通胀方面,证据也不支持对美联储利率立场更为悲观的解读。通胀预期依然牢牢锚定。5 金融市场对此类担忧提供了实时检验,无论是通胀互换市场6 还是国债盈亏平衡通胀率,均未表明投资者预期未来会出现严重的通胀问题。市场具有前瞻性,它们持续发出信号,表明对中期内通胀将保持受控的信心。如果通胀预期稳定,就很难有力论证美联储已大幅落后于曲线。

牛市是否已经结束,还是只是暂时停歇?

这些都不意味着波动已经结束,或者科技股不会经历进一步的调整。受动量驱动的行业往往在上下两个方向都会过度反应。但重要的是,不要将动量的消退与基本面的恶化混为一谈。更广泛的市场、信贷状况、通胀预期以及围绕AI的潜在需求趋势都指向不同的结论。

关键点在于,我们目前所目睹的似乎更像是周期内的盘整,而非周期的终结。领导力正在轮换,预期正在重置,投资者在经历了显著的上涨后开始质疑假设。这些都是健康的发展。证据的权重表明,这仍然是一个结构性牛市,只是正在经历暂停,而不是一个面临叙事破裂的市场。

来源:彭博资讯,6月29,日2026。基于费城半导体指数,该指数今年迄今上涨了47.49%%。

来源:彭博资讯,6月29,日2026。基于彭博美国公司债券指数的期权调整利差。

来源:彭博资讯,6月29,日2026。基于标普500等权重指数。

来源:investing.com,“AI订单积压持续增长,华尔街回报需求”,7月22,日2026

来源:彭博资讯,6月29,日2026。基于5年期美国国债通胀盈亏平衡率。

来源:彭博资讯,6月29,日2026。美国通胀预期以通胀互换市场衡量(5年期、5年期远期通胀互换,这是基于市场的衡量标准,反映自现在起五年后开始的五年期间的预期通胀)。

所有投资均涉及风险,包括本金损失的风险。

过往表现并不能保证未来结果。

无法直接投资于指数。

这不构成对任何投资者对任何投资策略或产品的推荐。投资者在做出任何投资决策前应咨询财务顾问。

一般而言,股票价值会波动,有时波幅较大,以响应公司特定活动以及整体市场、经济和政治状况。

科技相关行业中提供的许多产品和服务面临快速过时的风险,这可能会降低发行人的价值。

人工智能(AI)科技公司面临特定风险,如市场狭小、商业周期变化、经济增长、技术进步、过时和监管等。这些公司可能拥有有限的产品、市场、资源或人员,使其证券更具波动性,尤其是规模较小的初创公司。快速的技术变革可能对其业绩产生不利影响。AI公司通常依靠专利、版权、商标和商业机密来保护其技术,但无法保证这些保护措施足够充分。大量研发(R&D)支出并不能确保产品或服务成功。

彭博美国公司债券指数衡量投资级、固定利率、应税公司债券市场。它包括由美国和外国工业、公用事业和金融发行人公开发行的以美元计价的证券。

标普500®等权重指数是标普500®指数的等权版本。

费城半导体指数追踪设计、制造和销售半导体及相关设备的领先公司的表现。

信用利差是指期限相似但信用质量不同的债券之间的收益率差异。

盈亏平衡通胀率是指名义美国国债与同期限的通胀保值国债之间的收益率差异。

期权调整利差(OAS)是指必须加到基准收益率曲线上的收益率利差,以使证券的支付按其市场价格折现,使用考虑嵌入期权的动态定价模型。

通胀保值国债(TIPS)是与通胀挂钩的美国国债。

上述观点为作者截至 30, 年 2026 月的观点。这些评论不应被解释为建议,而是对更广泛主题的说明。前瞻性陈述并非对未来结果的保证。它们涉及风险、不确定性和假设;不能保证实际结果与预期不会存在重大差异。

完整英文原文

Key takeaways

Concerns continue about artificial intelligence (AI) spending. But if AI restructures the global economy, today's investment levels may one day look modest compared to what’s needed.

Some worry that the Federal Reserve (Fed) is behind the curve in fighting inflation. But markets continue to signal confidence that inflation should remain contained over the medium term.

Leadership has been rotating, expectations have been resetting, and some investors are questioning assumptions after a remarkable run. I see these as healthy developments, not a fundamental market deterioration.

There is growing angst among investors today. Market drawdowns and bouts of volatility are a normal part of investing, but they inevitably raise the same question: Has something meaningful changed? The recent weakness in the technology sector, particularly among chipmakers and memory companies, has amplified those concerns. Headlines have described the move as carnage, and from the perspective of recent price action, that characterization is understandable. Yet the term loses some of its impact when viewed in a broader context. Many of the companies at the center of the selloff remain significantly higher year to date1, following extraordinary gains over the past several quarters.

Stepping back, the broader market doesn’t look like it’s falling apart.

Credit markets, often a more reliable indicator of underlying economic stress, have remained remarkably resilient — credit spreads have been contained, suggesting little concern about deteriorating growth or financial conditions.2

Meanwhile, the S&P 500 Equal Weight Index has continued to push toward new highs.3

That’s not the behavior of a market signaling recession or systemic trouble. Rather, it looks more like a consolidation within the most crowded and successful segment of the market after a historic advance.

Two critical issues: AI and the Fed

At the heart of the current debate are two critical questions.

First, have the hyperscale technology companies overinvested in the race for AI compute? If so, demand for chips, memory, networking equipment, and related infrastructure could eventually disappoint.

Second, has the Federal Reserve fallen behind in its effort to contain inflation, forcing interest rates higher and putting pressure on equity valuations?

I find myself taking the other side of both arguments.

AI: An economic force that may warrant today’s spending

Consider the technology story first. The selloff has not occurred against a backdrop of weakening demand. In fact, the fundamental data point in the opposite direction. Earnings across much of the AI ecosystem have remained strong. Backlogs for key providers continue to expand, indicating that customers are still seeking capacity faster than can be delivered.4 If anything, the challenge remains supply rather than demand. The market's concern is not that AI adoption has stalled, but whether current investment levels have gotten ahead of future returns.

That distinction matters. Ultimately, the debate comes down to how investors frame the opportunity. If AI is simply another software upgrade cycle, then concerns about overspending are understandable. But if AI represents a restructuring of the global economy, the implications are far larger. The latter view is more compelling. Artificial intelligence is increasingly touching every sector, from health care and manufacturing to financial services and education. If that proves correct, today's investment levels may eventually look modest relative to what may be required over the next decade. The buildout of compute, power infrastructure, networking capacity, and data centers could have much further to run than many investors currently envision.

Inflation: The Fed doesn’t appear behind the curve

On the inflation front, the evidence also argues against a more pessimistic interpretation of the Fed’s stance on rates. Inflation expectations have remained well anchored.5 Financial markets offer a real-time check on these concerns, and neither the inflation swap market6 nor Treasury breakeven rates suggest investors expect a meaningful inflation problem ahead. Markets are forward-looking, and they continue to signal confidence that inflation should remain contained over the medium term. If inflation expectations are stable, it becomes difficult to build a strong case that the Federal Reserve is materially behind the curve.

Is the bull market over, or just on pause?

None of this means volatility is over or that technology stocks cannot experience further corrections. Momentum-driven sectors often overshoot in both directions. But it is important not to confuse a momentum unwind with a fundamental deterioration. The broader market, credit conditions, inflation expectations, and the underlying demand trends surrounding AI all point toward a different conclusion.

The upshot is that what we are witnessing appears less like the end of a cycle and more like a consolidation within one. Leadership is rotating, expectations are resetting, and investors are questioning assumptions after a remarkable run. Those are healthy developments. The weight of the evidence suggests this remains a structural bull market experiencing a pause, not a market confronting a broken narrative.

Source: Bloomberg, L.P. Jun. 29, 2026. Based on the Philadelphia Semiconductor Index, which has advanced 47.49% year-to-date.

Source: Bloomberg, L.P. Jun. 29, 2026. Based on the option-adjusted spread of the Bloomberg US Corporate Bond Index.

Source: Bloomberg, L.P. Jun. 29, 2026. Based on the S&P 500 Equal Weight Index.

Source: investing.com, “AI Order Backlogs Keep Growing as Wall Street Rewards Demand,” July 22, 2026

Source: Bloomberg, L.P. Jun. 29, 2026. Based on the 5-year US Treasury Inflation Breakeven.

Source: Bloomberg, L.P. Jun. 29, 2026. U.S. inflation expectations as measured by the inflation swap market (5-year, 5-year forward inflation swaps, which are a market-based measure of expected inflation for the five-year period that begins five years from now).

All investing involves risk, including the risk of loss.

Past performance does not guarantee future results.

Investments cannot be made directly in an index.

This does not constitute a recommendation of any investment strategy or product for a particular investor. Investors should consult a financial professional before making any investment decisions.

In general, stock values fluctuate, sometimes widely, in response to activities specific to the company as well as general market, economic and political conditions.

Many products and services offered in technology-related industries are subject to rapid obsolescence, which may lower the value of the issuers.

Artificial intelligence (AI) technology companies are sensitive to specific risks such as small markets, business cycle changes, economic growth, technological progress, obsolescence, and regulation. These companies may have limited products, markets, resources, or personnel, making their securities more volatile, especially for smaller start-ups. Rapid technological changes can adversely affect their results. AI companies often rely on patents, copyrights, trademarks, and trade secrets to protect their technology, but there's no guarantee these protections will be sufficient. Significant research and development (R&D) spending doesn’t ensure product or service success.

The Bloomberg US Corporate Bond Index measures the investment grade, fixed-rate, taxable corporate bond market. It includes US dollar-denominated securities publicly issued by US and non-US industrial, utility, and financial issuers.

The S&P 500® Equal Weight Index is the equally weighted version of the S&P 500® Index.

The Philadelphia Semiconductor Index tracks the performance of leading companies involved in designing, manufacturing, and selling semiconductors and related equipment.

Credit spread is the difference in yield between bonds of similar maturity but with different credit quality.

Breakeven inflation is the difference in yield between a nominal Treasury security and a Treasury Inflation-Protected Security of the same maturity.

Option-adjusted spread (OAS) is the yield spread that must be added to a benchmark yield curve to discount a security’s payments to match its market price, using a dynamic pricing model that accounts for embedded options.

Treasury Inflation-Protected Securities (TIPS) are US Treasury securities that are indexed to inflation.

The opinions referenced above are those of the author as of July 30, 2026. These comments should not be construed as recommendations, but as an illustration of broader themes. Forward-looking statements are not guarantees of future results. They involve risks, uncertainties and assumptions; there can be no assurance that actual results will not differ materially from expectations.

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AI 分析
由 AI 依据上文研报生成 · 非原文直译、非机构原话 · 重要判断请核对官网原文
关键论点
  • 如果AI重塑全球经济,当前的投资水平可能显得温和,意味着计算、电力、网络和数据中心的多年度建设周期。
  • 信用利差保持收窄,表明对增长恶化和金融状况的担忧极少,标普500等权重指数接近新高,显示广泛市场健康。
  • 通胀预期保持良好锚定,基于市场的衡量指标如通胀互换和盈亏平衡表明未来不会出现有意义的通胀问题。
  • 科技股的抛售集中在最拥挤的板块,许多公司年初至今仍大幅上涨,反映的是动能消退而非基本面恶化。
  • AI生态系统的盈利仍然强劲,订单积压持续扩大,表明挑战在于供应而非需求。
  • 领导层轮换和预期重置是结构性牛市暂停期间的健康发展。
风险
  • 如果AI只是软件升级周期而非经济重组,AI投资水平可能被证明过高。
  • 科技股可能进一步回调,因为动能驱动的板块可能双向过度。
  • 如果通胀预期脱锚,美联储可能被迫加息,压制股票估值。
  • 快速过时和监管变化可能降低科技公司的价值。
  • 科技板块的集中风险可能在AI叙事失宠时放大跌幅。