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As detailed in the HireVue 2026 Global AI in Hiring Report, organizations worldwide are grappling with a new reality where AI influences every stage of the hiring lifecycle. This shift demands a strategic focus on trust, transparency, and accountability, moving beyond mere adoption to leveraging AI as a responsible, competitive advantage. Both employers and candidates are now AI-enabled, creating a two-sided dynamic that necessitates careful policy and operational adjustments from enterprise leaders.
What if the most powerful play in our book wasn’t a new piece of marketing technology, but a renewed commitment to the oldest form of marketing—understanding and honoring the individual story?
Only 32% of U.S. employees are actively engaged at work right now. That number has been falling for five years straight. Companies are spending more than ever on engagement surveys, pulse checks, eNPS scores, and culture consultants. And the needle isn’t moving.
Getting buy-in from skeptical teams and what actually drives adoption
The difference between tools that assist and systems that actually execute work
There’s a narrative in tech that construction, manufacturing, and energy companies are resistant to change. I’ve spent 26 years in this space, and I think that narrative is backwards.
The real problem? Technology companies are slow to understand physical industries. That realization shaped everything about how we built Briq. Here’s what we learned.
The marketing landscape is in constant flux, and the talent pool that supports it must adapt just as quickly. For enterprise marketing leaders, understanding the nuances of this ever-evolving environment is crucial for building and maintaining a high-performing team.
From decision delays to feedback overload, here’s how managers can spot and fix analysis paralysis
The transformative potential of artificial intelligence (AI) in marketing is no longer a futuristic fantasy; it’s rapidly becoming a tangible reality. But while many organizations focus on AI’s cost-saving potential, true value lies in its ability to amplify the human element, creating a network effect that elevates both employee and customer experiences. This isn’t about replacing humans with machines. It’s about empowering teams to work smarter, faster, and with greater impact. In this article, we’ll explore how marketing leaders can leverage AI’s network effect to achieve not just one or two, but *all three* desirable outcomes: cheaper, faster, *and* better results. We’ll delve into the insights shared by Jay Pattisall, a leading voice in the MarTech space, to understand the practical implications of this powerful concept.
In the era of AI-driven transformation, every company wants to be agile. But few manage to embed agility so deeply into their operating model that it becomes second nature. Reka, an AI startup developing leading-edge multimodal generative models, has made that a foundational part of how they operate—and they’ve done it with a lean, remote team of just 50 people.
