S&P Global's webinar examined how large mergers and acquisitions are offsetting an overall slowdown in M&A activity. Artificial intelligence is acting as a catalyst for deal-making in asset-heavy sectors such as energy, infrastructure, and manufacturing, where companies are deploying capital to integrate AI capabilities. This pattern suggests that while total M&A has slowed, strategic acquisition activity remains concentrated among major players in capital-intensive industries seeking to modernize operations.
Summaries like this, in your inbox every morning.
Sign up free →What happened
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.
Why it matters
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.
What to watch
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.
S&P Global convened a webinar to examine the dynamics of merger and acquisition activity in the current market environment. The analysis reveals a complex picture: while M&A volume overall has slowed relative to prior periods, a countervailing trend has emerged in which megadeals—large-scale acquisitions involving major capital deployment—are concentrating in asset-heavy industries. This concentration is being driven substantially by artificial intelligence, which is acting as a catalyst for strategic acquisition activity. Energy, infrastructure, and manufacturing sectors are at the forefront of this trend, with companies seeking to acquire AI capabilities, technical expertise, and infrastructure to enhance and modernize their operations. The webinar suggests that the apparent M&A slowdown masks a more nuanced reality: deal-making has not dried up, but rather has shifted in character and geography. Large buyers in capital-intensive sectors are deploying substantial capital to secure competitive positioning in an AI-enabled economy, while smaller deals and broader market M&A have contracted. This reshuffling indicates that competitive advantage in traditional asset-heavy industries increasingly depends on AI integration, driving strategic consolidation among major players.
The S&P Global webinar highlights a bifurcated M&A landscape: while aggregate deal volume has contracted, capital has concentrated into large acquisitions in sectors that require substantial physical assets and infrastructure. This divergence reflects a strategic shift driven by AI adoption. Companies in energy, infrastructure, and manufacturing face mounting pressure to deploy AI across operations—from predictive maintenance to supply-chain optimization—and are pursuing megadeals as the fastest route to acquiring the technology, talent, and intellectual property required. Rather than representing a recovery in M&A, this pattern signals a reallocation of deal activity toward industries where AI integration has the highest operational and competitive stakes.
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytime
No comments yet. Be the first to share your thoughts!
Log in to join the discussion
Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.
Get Started FreeFree · takes 30 seconds · unsubscribe anytime
1 minute a day. The AI essentials.
200+ sources · Email / LINE / Slack
