GoKawiil
Tech News
A Harvard Business Review contributor, writing with colleagues Nicole Radziwill and Todd McClees, revisits a December 2024 warning that enterprises remain poorly positioned to benefit from AI despite widespread adoption. The piece argues the shortfall stems from organizational and human readiness issues rather than the technology itself, and outlines steps companies can take to close the gap.
Businesses deploying AI are reportedly moving past basic adoption and now grappling with execution challenges, particularly around security risks. Organizations are said to be reassessing how AI systems are governed and secured as usage scales across operations.
Dell Technologies stock fell 11% on Wednesday, pulling down Hewlett-Packard Enterprise, Oracle, Super Micro and NetApp amid worries that enterprise AI spending won't match the scale of the ongoing data center buildout. Barclays analysts cut ratings on Dell, HPE and NetApp from buy to hold, saying they see no 'meaningful AI inflection' in enterprise demand and attributing recent revenue gains largely to a global memory shortage rather than AI adoption.
Google has launched Gemini Argon 4 for users worldwide. The model is available only through paid tiers, with no free version offered to consumers or developers.
IBM's Institute for Business Value surveyed 2,000 CEOs across 33 countries and found 61% say their organizations are actively adopting or scaling AI agents, including in performance testing. Yet the same study found only 25% of AI initiatives have delivered expected returns and just 16% have scaled enterprise-wide, meaning much of the performance-testing use case remains unproven despite broad adoption intent.
IEEE Computer Society published guidance proposing four gates that enterprise AI agents should pass before executing actions, not just generating answers. The framing uses an example of an agent summarizing a contract and posting an update, highlighting the gap between producing text and taking consequential action.
New enterprise technology solutions are emerging to address challenges in managing large language models and autonomous systems. These include project management tailored for government agencies, AI code verification tools, and API access management, aimed at helping organizations modernize while controlling costs.
A new industry report argues that most enterprises deploying AI are not seeing revenue growth or operational transformation, despite rising global AI spending and rapidly advancing model capabilities. It identifies three requirements for what it calls the 'agentic shift': rebuilding data infrastructure for accessibility, adopting composable architectures instead of fixed tech stacks, and resolving questions of where AI systems run and who controls them.
BAG Ventures, founded by former Google VP Bontia Stewart and ex-CapitalG partner Jackson Georges Jr., has closed an $11.3 million fund after roughly two years of investing. The firm has already backed 10 startups, including SXD, BizTrip, and Nomadic, with checks ranging from $100,000 to $500,000, and plans to deploy the remainder over the next two years.
A tech commentary piece declares that the initial 'generative AI' era is effectively over, arguing that the industry's understanding of productivity has changed. The author states that measuring success is no longer about output volume, signaling a shift in how AI tools are evaluated.
Deloitte's 2026 State of AI in the Enterprise found worker access to AI tools rose 5% in 2025, and the share of companies running at least 40% of AI projects in production is expected to double within six months. The report frames this shift as AI moving from isolated pilots to always-on production workloads spanning customer service, IT, research and business-process agents.
Meta has recruited MongoDB CEO Desai to head its push into enterprise AI products. The move signals Meta's intent to expand beyond consumer-facing AI into business-focused offerings.