Many companies are struggling to scale their AI deployments or even move them past the pilot stage. Often the problem isn't technology, but organizational misalignment around goals, processes and incentives. At the break, join Caroline Roach, a senior partner, IBM Consulting, to learn why.
Here's your afternoon TNB Tech Minute for Wednesday, June 17th. I'm Julie Chang for The Wall Street Journal. President Trump said negotiations with Anthropic over restoring access to the company's latest AI models were, quote, going fine. Trump's comments came at a group of seven summit in France, where some world leaders were concerned about losing access to top American AI tools. The administration banned foreign use of two Anthropic models last week, fueling concerns about fair access to AI tech and global coordination. The company shut off access to the models for all users on Friday. Today's meeting follows months of tensions over access to Anthropics' Methos model, which is capable of carrying out cyberattacks and fueled global concerns about AI risks.
Both Goldman Sachs and Morgan Stanley are expected to play major roles in OpenAI's and Anthropics' initial public offerings this fall, but not the same individual bankers. People familiar with the matter say the banks are forming distinct teams to ensure no information is shared between the rivals. Chief among the considerations for bankers signing on to help either OpenAI or Anthropics are client relationships, the people said.
And a group of mostly tech companies are committing $915 million to buy carbon removal credits. That's despite worries over dwindling venture capital funding and government support, particularly in the US. The new commitment comes through Buying Group Frontier, which includes Stripe, Google, Salesforce and Anthropics. And it comes on top of a previous $1 billion it pledged to buy removal credits backing technologies that take carbon out of the atmosphere, like direct air capture, enhanced rock weathering, and bioenergy production. Frontier said this new tranche aims to be more focused on tech. It believes it can scale faster.
And that's your TMB Tech Minutes. Check back in the morning for another Quick Tech Update. Scaling AI successfully requires more than the right technology. Here again is Caroline Roach, senior partner, IBM Consulting. The biggest thing that we were talking about a year ago is what model to use. And the biggest thing that I'm talking about with my clients now is how do I drive change within my organization. Companies able to identify correct and then avoid misalignment will be best positioned to deliver meaningful business value from AI. The organizations that are the most successful set very clear targets and have several priorities that are very clear across the enterprise. The technology is really good, but if you're not changing your organizational alignment, not incentivizing your people correctly, not looking at workflows, you're not going to see real value with it. Visit ibm.com/think/leadership to learn how building organizational alignment can help deliver AI deployments that scale and drive growth. This content was created by Custom Content from WSJ, a unit of the Wall Street Journal Advertising Department.
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