IBM Drops $500 Million: Late to the Party, but Ready to Tango in AI

Bantuvoices
3 min readNov 14, 2023

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By Young Eta.

In a quiet but compelling move, IBM has set the stage with a striking entrance into the ever-evolving landscape of artificial intelligence, debuting a substantial $500 million enterprise AI venture fund. This investment is poised to nurture and propel the growth of generative AI startups that have their gaze fixed firmly on the realm of business solutions.

In a conversation with Axios, Rob Thomas suggests that this move is not just an allocation of funds but a deliberate message to startups: IBM is not the company of last year. This strategic play is akin to a tech giant sending out a signal, a modern-day telegram saying, “We’re not your grandfather’s IBM anymore.”

Details of IBM’s venture strategy unfold with a certain finesse. The company plans to invest across various startup stages, shrouded in an air of mystery, with no predefined target for annual investments or a rigid capital deployment timeline. It’s an approach that embodies flexibility, allowing IBM to waltz into the dance of AI investments without missing a beat. Already, IBM has shown its hand by participating in Hugging Face’s Series D funding round and HiddenLayer’s Series A round.

The company’s interest leans towards startups that focus on specialized tools for specific verticals, such as healthcare, or those dedicated to streamlining a particular business process — so long as they don’t step on IBM’s own toes too much. Interestingly, IBM declares its intention to avoid investing in companies that directly compete with the startups it has already backed, establishing a nuanced dance to avoid any toes being stepped on1.

Amidst the lines of investment strategies and market trends, Thomas drops a hint of wisdom gleaned from client feedback: “One thing that’s come up this year: everybody’s done a lot of experimentation but not a lot of ROI”. It’s a statement that resonates in the ever-evolving landscape of AI tools, where businesses are hungry not just for innovation but for tangible returns on investment.

Delving deeper into the intrigue, Thomas foresees a unique shift in the AI landscape. Unlike previous technological revolutions, he predicts that this one may be steered by companies and markets outside the United States. It’s a subtle yet bold assertion, suggesting that the global stage is set for a new era in artificial intelligence.

As the curtains rise on IBM’s $500 million venture fund, the stage is set for an intriguing journey into the future of AI, where old giants learn new dances, and the rhythm of innovation echoes across borders.

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