Top Companies' AI Moves

Today's Stories

1. 1

   Micron, Corning, Infineon poised to lead next AI boom

   Three semiconductor and materials suppliers — Micron, Corning, and Infineon — are positioned to benefit from the next phase of AI infrastructure buildout, according to analysis of the shifting demand for AI chips and supporting components. As AI computing scales beyond the largest data centers, demand is spreading to edge devices, enterprise systems, and specialized applications. These companies supply memory, optical components, and power management chips that enable that broader deployment — a shift that could create opportunities for suppliers outside the hyperscaler-focused GPU makers.

   The article identifies these three as leading candidates in the next phase, but the broader significance lies in how AI hardware demand is diversifying beyond the concentrated GPU market toward the supporting infrastructure that underpins it.

2. 2

   Bristol Myers Squibb and NVIDIA team up on AI drug discovery

   Bristol Myers Squibb and NVIDIA have partnered to build an AI factory for drug discovery, combining NVIDIA's computing infrastructure with Bristol Myers Squibb's pharmaceutical expertise. The collaboration aims to accelerate the drug development process by applying AI and computational power to identify and test potential treatments more efficiently than traditional methods, which could shorten timelines and reduce development costs in an industry where bringing a drug to market typically takes years.

   The specific timeline for the AI factory's deployment and which therapeutic areas or drug programs will be prioritized first have not been disclosed in the announcement.

3. 3

   American Express names Berta Rodriguez-Hervas SVP of Enterprise AI

   American Express appointed Berta Rodriguez-Hervas as Senior Vice President of Enterprise AI Platforms, a newly created role focused on building and scaling AI capabilities across the company. The appointment signals American Express's commitment to embedding AI throughout its operations—from customer-facing services to internal processes—as financial services compete on AI-driven innovation and efficiency.

   The extent to which Rodriguez-Hervas's platform will integrate AI across American Express's card, payment, and customer experience offerings, and how the company positions itself against competitors investing heavily in enterprise AI.

4. 4

   Bristol Myers Squibb Deploys Second AI Supercomputer for Drug Discovery

   Bristol Myers Squibb announced deployment of its second NVIDIA DGX SuperPOD, built on eight DGX Vera Rubin NVL72 systems, designed to provide all researchers across the company global access to unified AI infrastructure for drug discovery without computational bottlenecks. The new system delivers up to 10x the performance per megawatt of the infrastructure it replaces and will enable researchers to run predictions and train models across the full drug discovery pipeline without waiting for compute resources—a shift from the earlier model where only small research groups had access. BMS has already shown results with its existing SuperPOD over about three years, including AI-enabled target identification that saves scientists weeks of manual work and expansion of its CELMoD compounds library for cancer treatment.

   BMS is integrating the new system with its existing DGX SuperPOD into a single unified environment accessible globally from all BMS sites, replacing site-specific restrictions and enabling researchers to initiate complex predictions in plain English through NVIDIA Mission Control.

5. 5

   Honeywell CEO Charts AI Strategy for Industrial Giant

   Honeywell's CEO is leading a strategic shift to position the industrial conglomerate for the artificial intelligence era, according to Bloomberg reporting on the company's transformation. As AI reshapes industrial operations and enterprise software, Honeywell—a legacy manufacturer with exposure to aerospace, building management, and automation—faces pressure to modernize its business model and technology stack to remain competitive with both tech-native competitors and digitally native rivals in its core verticals.

   The article does not provide specific timelines, financial targets, product announcements, or measurable milestones tied to Honeywell's AI strategy, so concrete outcomes and execution speed remain to be demonstrated.

6. 6

   Megadeals offset M&A slowdown as AI boosts asset-heavy sectors

   S&P Global held a webinar examining how large-scale acquisitions are compensating for an overall slowdown in merger and acquisition activity, with artificial intelligence (AI) emerging as a driver of deal activity in capital-intensive industries. The pattern reveals that while M&A volume overall has contracted, strategic buyers in sectors requiring significant physical infrastructure—energy, infrastructure, manufacturing—are deploying capital aggressively to position themselves in AI-enabled operations, suggesting a shift in where deal activity concentrates rather than an absence of it.

   The divergence between total M&A activity and megadeals in asset-heavy sectors may signal a wider reshuffling of industry consolidation, with companies in traditional capital-intensive fields racing to secure AI capabilities before competitive advantage solidifies.