The non-technical solution for government IT projects that fail

The non-technical solution for government IT projects that fail

The hype surrounding the rise of generative AI illustrates a core reason why federal IT initiatives often fail: Driven by a “fear of missing out,” many adopters rush in without necessary preparation. This failure rate is not limited to the government. In a recent report, MIT found that 95% of organizations are getting zero return on their investments in generative AI. This holds true for the government largely because federal mandates and compli…

Why Most Enterprise AI Projects Fail (and How to Make Them Work at Scale)

Most enterprise AI projects follow a familiar pattern. Successful demos lead to promising pilots. Executives commit budgets to scale the initiative across departments. Then the wheels come off. Despite $30-40B in enterprise investment in GenAI, MIT’s Project NANDA found roughly 95% of AI pilots show no measurable P&L impact. Gartner forecasts that more than 40% of agentic AI projects will be abandoned by next year due to unclear outcomes and poo…

95% of AI Projects Are Unproductive and Not Breach Ready

Like me, this news probably shocked almost all AI enthusiasts. The GenAI gold rush has apparently turned into a reckoning. And the fallout may be the next cyberattack. A recent MIT report reveals an unexpected twist in the AI market, making waves across boardrooms and leadership circles. The report, based on analysis of over 300 […] The post 95% of AI Projects Are Unproductive and Not Breach Ready appeared first on ColorTokens. The post 95% of A…