According to a recent Kyndryl report that surveyed 3,200 C-suite executives, executives are increasingly concerned about aging IT systems. While 90% believe their technology is top-notch, nearly two-thirds admit that outdated infrastructure is a significant issue, with 44% of critical IT systems nearing or at end-of-life. Michael Bradshaw, Kyndryl’s SVP, emphasized the challenges of identifying tech debt without proper asset management, likening it to an archaeological dig. Despite enthusiasm for digital transformation, many executives struggle to balance investment in new technologies with maintaining existing systems. The report also revealed that while 75% are investing in AI and machine learning, less than half report a positive return on investment. Concerns about cyberattacks are prevalent, with two-thirds of executives feeling unprepared to manage these risks.
A recent IDC report highlights the growing trend of cloud repatriation, driven primarily by organizations facing unexpected costs and performance issues in cloud environments. The report reveals that 50% of companies spent more on cloud services than anticipated last year, with 59% expecting similar overruns this year. Notably, only 8-9% of organizations plan full workload repatriation, with most moving specific workloads back in-house. The trend has been exemplified by SaaS company 37 Signals, which announced it will save $10 million over five years by transitioning away from cloud services to invest in its own hardware. As businesses grapple with rising costs and complexities in managing multi-cloud setups, they are increasingly considering the potential benefits of repatriation, balancing cost savings with the need for flexibility and innovation.
Why do we care?
75% of enterprises are implementing or planning AI: This figure is high, but it’s essential to differentiate between various levels of adoption. Many organizations may claim they’re working on AI initiatives, but a substantial portion could be limited to small-scale experiments or pilot programs rather than full-scale implementations that truly impact business operations.
The data here reveals a significant interest in AI but doesn’t confirm that adoption is uniformly successful or transformative. For IT service providers, this signals potential opportunities in consulting, implementation, and ongoing support for AI initiatives. However, caution is warranted—service providers should approach these projects with clear expectations management to avoid over-promising on what AI can realistically achieve within existing infrastructure constraints.
These insights reinforce the importance of aligning with transformation-driven budgets, honing AI capabilities with realistic expectations, and supporting security demands without letting them dominate strategic investments.