McKinsey suggests that the time is ripe for an industrial revolution, and details a Deutsche Telekom case study -- "The costly build-to-order approach of typical IT infrastructures may soon be a thing of the past, thanks to advances in technology and to new management practices. Leading companies are moving toward a less complex model characterized by standard and reusable products, transparent pricing, and better use of IT resources. Companies can make their information technology systems up to 30 percent more productive by adopting a standardized model. To undertake this shift, CIOs must rethink the organization, architecture, and procurement processes of their IT organizations."
Two years after ChatGPT captured the world's imagination, there's a dichotomy in the enterprise artificial intelligence (AI) market. On one side, technology vendors are making unprecedented investments in AI infrastructure and new feature capabilities. On the other, there's measured adoption from customers who carefully weigh the AI costs and proven use case benefits. Artificial Intelligence Market Development The scale of new investment is significant. Cloud vendors alone were expected to invest over $150 billion in capital expenditures in 2024, with AI infrastructure being the primary driver. This massive bet on AI's future is reflected in the rapid growth of AI server revenue. Looking at just two major players - Dell Technologies and HPE - their combined AI server revenue surged from $1.2 billion in Q4 2023 to $4.4 billion in Q3 2024, highlighting the dramatic expansion. Yet despite these investments, the revenue returns remain relatively modest. The latest TBR resea...