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Tech News
A new report compiles 20 different ways business leaders are measuring returns on AI investments, moving past simple adoption and experimentation metrics. It emphasizes that organizations need clearly defined outcomes and measurement plans before deploying AI to avoid wasted effort without real results.
A survey cited in the report shows daily AI usage among marketers climbed from 88% to 91%, yet less than half say it has meaningfully improved their results. The gap is compared to the early days of factory electrification, when productivity gains only came after work processes were redesigned around the new technology, not just when it was installed.
An Entrepreneur contributor argues that traditional workplace mental health tools—EAPs, wellness days, counseling—are necessary but not enough as AI, heavier workloads and constant change strain employees. The writer proposes 'Human Capacity Development,' a broader approach focused on building employees' resilience, adaptability and skills rather than just addressing distress after it appears.
A new report finds that just 7% of companies are extracting measurable business value from their AI investments, despite widespread adoption efforts across industries. The research identifies specific practices that separate these high-performing organizations from the majority still struggling to translate AI spending into results.
A CESA survey unveiled at Tokyo Game Show 2026 found that 85.8% of Japanese game developers now use generative AI tools in their workflows, up from 51% the previous year. Of those, 63% use AI daily while 22.8% use it occasionally, mainly for debugging, error correction, and automated testing rather than direct code generation.
A business commentator argues that traditional startup strategies—flashy offices, perks and slow-moving hierarchies—no longer work in a market reshaped by AI and instant gratification. The piece uses an example of a graphic designer competing with AI tools, suggesting entrepreneurs should blend automation with human skill rather than resist it.
J.Crew Group's CIO Danielle Schmelkin and CEO Libby Wadle discussed how the retailer is integrating artificial intelligence into its operations while preserving its creative identity. The conversation, moderated by Fast Company's Elizabeth Segran, framed AI adoption at J.Crew as a cultural undertaking rather than a purely technical one.
A Digital Work Trends Report from Slingshot finds that while 86% of C-suite executives say AI use is mandatory at their companies, only 49% of middle managers are actually reinforcing that expectation with their teams. An Infragistics executive argues the disconnect stems from leadership style, not technology, since employees need coaching and modeling rather than top-down mandates to adopt new tools.
Reports indicate several companies adopting AI tools are underwhelmed by results, even as the UK leans on the sector for economic growth and touts gains in the NHS and broader economy. Economists say the current wave of AI firms is unlikely to all survive, predicting a shakeout that could leave a few dominant players controlling the market. OpenAI's decision to pause its path toward a stock market listing is being read either as a safety-conscious move or as a sign it fears weak investor returns.
A new analysis argues that business transformation initiatives—covering AI adoption, productivity gains, new operating models, and workforce agility—are ultimately determined by countless daily decisions made by employees rather than by boardroom planning. It contends that leaders must design their strategies with this reality in mind rather than assuming top-down mandates will drive change.
At the Goldman Sachs Communacopia + Technology Conference, CoreWeave CEO Mike Intrator told CNBC that AI and data center companies have not adequately communicated the advantages of their technology to the public. He argued that community opposition stems less from data centers themselves and more from broader anxiety about the rapid pace of technological change and its uncertain effects on people's lives and children's futures.
Payments firm Ramp's survey of 70,000 businesses found only 56% paid for AI tools in August, up just 0.4% from July, marking a sharp deceleration in adoption. Spending per employee among the top 1% of firms fell nearly 10% to $7,205, which Ramp economist Ara Kharazian attributes partly to seasonal vacation effects and partly to falling token prices, now averaging $0.68 per million tokens versus a March peak of $1.15.