AI, tariffs and markets reshape global business

February 24, 2026 at 15:43 UTC

7 min read
AI technology and global tariffs impact visualization with tech sector disruption and market shifts

Key Points

  • Trump’s new 10% global tariff takes effect as reports suggest a possible move to 15%, keeping trade policy in sharp focus for investors
  • Alphabet and Microsoft face investor debate over massive AI capex, even as hyperscalers plan more than $500bn of AI-related spending this year
  • Anthropic’s new Claude enterprise plugins and “agentic AI” offerings fuel anxiety across the software sector over disruption to legacy tools
  • AI infrastructure demand is driving fresh investment in chips, data centers and networks, from AMD’s Meta deal to Oracle, Corning and Brookfield

Markets absorb new Trump tariffs and policy uncertainty

US equities opened mixed on Tuesday as President Trump’s new 10% global tariff formally came into effect. The Dow Jones Industrial Average gained about 0.3%, while the S&P 500 and Nasdaq Composite edged lower, with investors still digesting Monday’s sharp sell-off tied to fears of AI disruption and trade tensions.

The new levy has unsettled trading partners, with the EU and Japan protesting that the duties leave them worse off than existing arrangements. Several reports cited by Yahoo Finance said the White House is working on a formal order to lift the rate to 15%, as previously threatened, and preparing national‑security probes into sectoral imports that could pave the way for further tariffs.

The tariff regime is already feeding into corporate decision‑making. A BBC report on a US business facing Chinese tariffs noted that the company has had to hold back productive investment in order to maintain reserves against unpredictable policy shifts. In Congress, Republicans remain split on tariffs, and House Speaker Mike Johnson described the search for “consensus on any path forward” as a challenge.

Trade policy will stay in the spotlight as Trump delivers his State of the Union address later on Tuesday. Investors are watching for additional detail after the Supreme Court struck down an earlier emergency tariff framework, forcing the administration to rely more heavily on conventional trade tools and time‑limited authorisations.

Hyperscaler AI capex divides opinion on tech valuations

AI infrastructure spending remains a central theme for large technology groups. A Zacks Investment Ideas note highlighted that combined capital expenditure by Microsoft, Alphabet and Amazon on AI‑related infrastructure is expected to reach roughly $515bn this year and about $600bn next year. Zacks argued that concerns over AI spending and funding are “overdone,” saying such outlays could feed through to adjacent sectors including energy and construction.

Alphabet illustrates the tension. Its shares closed at $311.69 on 23 February, down 1.02% on the day but still up more than 75% over 12 months, with a market value near $3.77trn. Fourth‑quarter 2025 revenue rose 18% year on year to $113.83bn, and annual revenue passed $400bn for the first time. Wells Fargo upgraded the stock to Overweight, citing a plan to expand AI infrastructure from 15GW to 35GW of capacity by 2028 and lifting its price target to $387.

At the same time, Alphabet has guided for 2026 capex of $175bn–$185bn, potentially double prior levels, to fund data centers, servers and networking. Some commentators, including investor Michael Burry, have questioned whether hyperscaler spending could pressure free cash flow as depreciation rises. Alphabet’s shares are down around 7% month‑to‑date amid these concerns, even as analysts broadly characterise its forward P/E of roughly 22–24 as reasonable given growth.

Federal Reserve officials are also tracking AI‑related investment. Governor Lisa Cook told an economics conference that soaring AI spending on data centers and chips may be contributing to strong aggregate demand despite higher interest rates, potentially lifting the near‑term neutral rate. She stressed that while AI could boost productivity, the transition may entail job displacement before new roles emerge, complicating monetary‑policy trade‑offs.

Software stocks react to Anthropic’s ‘agentic AI’ push

Anthropic stepped up competitive pressure in enterprise software on Tuesday with the launch of new Claude AI capabilities aimed at corporate customers. The company introduced department‑specific plugins, tools for customers to build bespoke plugins, and integrations with services such as Google Drive, Gmail, DocuSign and LegalZoom. Anthropic is also offering a private marketplace for firms to host internal plugins.

The company has framed these integrations as enabling enterprises to build “mini apps” that can automate workflows across teams. Wall Street analysts and investors have interpreted the move as another sign that AI providers may either create rival functionality to existing software suites or make it easier for businesses to develop in‑house tools, increasing pricing pressure on incumbent vendors.

Enterprise software shares have been under sustained pressure since Anthropic first previewed its Claude Cowork product at the end of January. According to sector data cited by Yahoo Finance, ServiceNow is down more than 23% since that announcement, Salesforce has fallen 22%, Snowflake 20%, Intuit 33% and Thomson Reuters 31%. IBM dropped 13.5% on Monday after Anthropic published a blog on AI‑assisted COBOL modernisation, although IBM has highlighted its own investments in code‑modernisation tools and argued that mission‑critical workloads still favour mainframe architectures.

A widely read Substack post from Citrini Research also contributed to volatility by sketching a scenario in which AI “vibe‑coding” of internal tools erodes demand for traditional SaaS products and compresses white‑collar employment and wages. The post has intensified debate over whether AI will ultimately be a net creator or destroyer of jobs in knowledge sectors, a question Fed officials have also acknowledged as highly uncertain.

AI infrastructure spending spurs deals across chips, cloud and physical networks

Rising AI workloads are reshaping investment along the hardware and infrastructure stack. In chips, Advanced Micro Devices’ shares rose in early trading after the company reached a multi‑year agreement to supply Meta Platforms with a large volume of GPUs for its AI build‑out. Wells Fargo separately argued that Qualcomm’s ambitions in AI data‑center inference are under‑appreciated, estimating potential data‑center revenue of $5bn–$7bn annually from 2027 if its AI200 and AI250 platforms gain traction.

On the cloud side, Oracle is positioning its data‑fabric platform, built on Oracle Cloud Infrastructure, as an AI‑enabled layer for hybrid and multicloud deployments. Oracle emphasised support for real‑time data integration across OCI, AWS, Microsoft Azure and Google Cloud, as well as governance and lineage features for AI workloads.

Physical‑layer constraints are also drawing investment. Corning has reported strong demand for its high‑density optical fiber, describing AI data‑center networking as a “critical bottleneck” and highlighting products such as ultra‑high‑count cables and thinner fiber designs that allow more connections in existing conduits. The company’s 2025 core sales grew 13% to $16.41bn, with AI‑linked fiber orders helping it reach a 20.2% core operating margin in Q4 2025.

Global infrastructure investors are seeking to consolidate AI‑related assets. Brookfield’s AI Infrastructure Fund has launched Radiant, a platform formed via a merger with Ori Industries, to build “AI factories” based on NVIDIA’s DSX reference design. Radiant is targeting long‑term contracts with sovereigns and large enterprises, and has access to a $100bn Brookfield investment programme to combine powered land, data centers and software orchestration into integrated offerings.

Network and connectivity vendors are also reacting. Hewlett Packard Enterprise, which has integrated Juniper Networks, announced new PTX‑series routers and telco‑optimised servers at Mobile World Congress to support high‑capacity AI traffic, and highlighted financing programmes to help carriers modernise networks. Separately, data‑platform firm Dataknox said it has secured priority access to NVIDIA’s Rubin NVL8 systems, while security provider Evolv detailed deployments of its AI‑based screening systems at venues such as Inter Miami’s new stadium.

Key Takeaways

  • Tariff policy and AI investment are emerging as intertwined macro drivers: higher trade barriers can affect supply chains just as capital‑intensive AI build‑outs influence demand, inflation and interest‑rate dynamics.
  • Hyperscaler AI spending is reshaping the tech landscape twice over, lifting demand for chips, fiber and data centers while prompting closer scrutiny of whether elevated capex will pressure free cash flow at firms such as Alphabet.
  • Anthropic’s latest moves underline that AI risk for software vendors is not only about competition from big models but also about how easily enterprises can stitch together custom, plugin‑based workflows that bypass legacy applications.
  • Infrastructure build‑out for AI now spans from specialized GPUs and high‑speed routers to optical fiber and integrated “AI factory” platforms, suggesting that beneficiaries of the AI cycle include a wide range of hardware, cloud and utilities‑adjacent businesses, not just headline model providers.