The Looming 2026 Challenge: Failed AI Deployments
As we close out 2025 and move toward 2026, many enterprise organizations are on the verge of facing significant hurdles with artificial intelligence deployments. The rate of failed AI deployments is extremely high.
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For instance, MIT earlier this year reported that 95% of corporate AI initiatives do not deliver measurable return on investment. IANS Faculty Jake Williams says that reality may be even starker than reported. Watch the full video here.
READ MORE: Learning from the Past: Safe Deployment of AI Agents
One issue is that businesses reallocate budget from proven technologies to fund AI projects, which often fall short. That leaves business and security leaders scrambling to fill gaps created when budget dollars were diverted to the underwhelming AI effort. In some cases, critical tools are not renewed because it is believed that AI will provide a replacement for those tools. And when those AI projects deliver less than ideal results, the business is left without the results they needed.
For CISOs and business leaders, AI investments demand careful consideration. They must consider not only the promise of AI, but they must also take into account the potential setbacks that failed projects could bring. AI shows great promise, but efforts can experience pitfalls when challenges are not acknowledged. Organizations can take steps to safeguard operations and security while also exploring and innovating with AI.
DOWNLOAD NOW: IANS AI Security Update: Q3 2025
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