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Modern B2B buying has changed. The companies that build trust before the first conversation are increasingly the ones that earn the opportunity to have that conversation in the first place. Over the past year, one observation has continued to stand out in our work with technology companies. We've worked alongside managed service providers, cybersecurity firms, cloud partners, technology consultants, VARs, and IT solution providers across North America. Many of these companies

AI is everywhere. Every press release mentions it.Every product claims it.Every roadmap includes it. Yet in the channel, we see the same issue repeatedly: AI messaging isn’t converting into pipeline. Why? Because many tech brands are marketing AI the wrong way. Here are the five most common mistakes — and why they matter. 1. Talking Features Instead of Business Outcomes “AI-powered.”“Machine learning enabled.”“Advanced neural architecture.” None of these answer the real quest

Most organizations are approaching AI PCs the wrong way. They see them as the next laptop refresh cycle.A faster processor.Better battery life.A new spec sheet. But AI PCs are not incremental hardware improvements. They represent a fundamental shift in how work gets done — and how technology companies must position, market, and support their solutions in 2026 and beyond. From Cloud-Dependent to Endpoint-Intelligent For years, AI innovation lived primarily in the cloud.Inferen

2026 will demand more than new technology — it will require sharper positioning, stronger partner enablement, and measurable ROI. Here are the five shifts IT and channel leaders must prepare for now.