IBM (NYSE: IBM) is carving out a distinct role in the crowded AI market by focusing on what many enterprises need most: interoperability.
At its annual Think conference, CEO Arvind Krishna introduced new software tools designed to help clients seamlessly integrate and scale their use of AI agents across platforms and providers.
A Unified Approach to Diverse AI Models
Rather than battling head-on with hyperscalers like Amazon Web Services or Microsoft Azure, IBM is leaning into its core strength.
Flexible enterprise software will tailor to companies with complex infrastructures. Its newest offering draws from the IBM Granite family of AI models but also supports third-party models from Meta, Mistral, and others.
“We help our clients integrate. We want to meet them where they are,” Krishna explained.
This flexibility allows clients to build custom AI agents in minutes. Whether for customer service, logistics, or untapped internal processes, these agents open new use cases and expand deployment opportunities.
$6B in Generative AI and Growing
IBM’s emphasis on hybrid and multi-cloud environments aligns with its already significant footprint in generative AI. Last month, the company reported a $6 billion ‘book of business’ centered on ChatGPT-like platforms. Krishna believes these new capabilities will “only accelerate that rate of growth.”
Their approach mirrors a broader shift in the industry, with companies like Exxon Mobil using AI to redefine their role in the energy-tech landscape.
Long-Term Commitment to U.S. Tech Infrastructure
Alongside its AI initiative, IBM reaffirmed a $150 billion investment in the United States over the next five years. This funding will support the domestic production of quantum computers and help IBM maintain its dominance in mainframe systems.
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