AI implementations are surging, but many new systems are being abandoned after companies have invested in expensive projects. Now evolving AI regulation is adding to the list of reasons why new systems may fail. Compliance must watch emerging regulatory developments and ensure that any new AI tools are capable of providing the interventions, insights, and audit trails that will be required to meet rules when they come into force.
Gartner is forecasting that global IT spend will reach $6.15 trillion in 2026 – a 10.8 percent increase fuelled by investment in AI infrastructure. But, it said, too many organizations are locked in the AI Pilot Trap – a cycle of proofs-of-concept that generate enthusiasm but rarely translate into enterprise-wide value. This is starting to impact compliance teams as regulatory developments add to the challenges of successfully implementing a new AI tool.
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