Five unexpected trends in generative AI value realization IT leaders can't afford to ignore - SiliconANGLE

"Despite the significant investments that many organizations have put into generative artificial intelligence, most are not seeing the productivity gains that they expected. Simply adopting new technologies is no longer enough to drive productivity gains, if it ever were. In today's rapidly evolving digital workplace, leaders face the ongoing challenge of translating digital investments into tangible business outcomes. Information technology leaders responsible for AI in the digital workplace can accelerate value realization by helping workers build relevant skills and ambition, equipping teams with targeted hands-on training, and encouraging employees to apply AI beyond administrative tasks by recognizing creative and innovative applications."

"Trend 1: The digital plateau: Productivity gains stall in the AI era After a sharp rise in self-reported productivity during the wave of digital transformation in the 2020s, which resulted in widespread distributed work, recent data show this momentum has slowed. This leveling off suggests that the easy wins from digitization have largely been realized. As hybrid work arrangements become more common, factors like increased commuting and declining discretionary effort are beginning to offset earlier gains. For organizations, this plateau signals that simply adding new technology, including AI, will not automatically translate into higher productivity. These findings reinforce the ongoing challenge of using AI effectively to sustain and grow workforce productivity."

Many organizations have invested heavily in generative AI but are not realizing expected productivity improvements. Simply adopting new technologies no longer guarantees productivity gains. IT leaders can accelerate value by helping employees develop relevant skills and ambition, providing targeted hands-on training, and encouraging use of AI beyond administrative tasks toward creative, innovative applications. Leaders must empower workers to apply AI for creative, strategic, and problem-solving work to translate investments into business value. Recent data show a digital productivity plateau after earlier gains, as hybrid work, increased commuting, and declining discretionary effort offset progress. Regular review of employee journeys and feedback can identify productivity drivers and barriers.

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