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Many companies are appointing chief AI officers (CAIOs) to lead their AI initiatives, but this approach often fails, because the role is too broad and misaligned with organizational needs.

For manufacturers, logistics leaders, and industrial firms, the agentic AI opportunity is no longer theoretical—it’s unfolding in real time.

Which frontier technologies matter most for companies in 2025? Our annual tech trends report highlights the latest technology breakthroughs, talent trends, use cases, and their potential impact on companies across sectors.

As companies have struggled to get value out of new AI tools, some have decided to combine technology and HR departments under a single leader.

The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal data will be misused, and even attack humanity someday. Behind this resistance are perceptions that AI is too opaque, emotionless, rigid, and independent and that interacting with humans is preferable. This article explores each one of those psychological barriers to adoption and describes interventions managers can undertake to counter them and make employees more comfortable with using AI tools.

It’s crucial for your company to invest in training that will have a lasting and meaningful impact on your organization. You may think that means focusing on new cutting-edge skills employees will use in the future, but research shows that strengthening the core skills workers need right away has a much bigger payoff.

With economic troubles mounting, it’s a time to tighten belts and put on hard hats. But don’t forget the jet pack, to accelerate into the next phase of growth.

Gen AI pilots have shown promise, but for the technology to deliver transformational business value in the life sciences industry, organizations need to rethink how they scale it.

Technology continues to change how we work, and gen AI is the latest, greatest disruptor.

Generative AI is evolving at record speed while CEOs are still learning the technology’s business value and risks.