#technology-adoption

#technology-adoption

The pace of change in the workplace is relentless, especially when it comes to navigating AI transformation. I've spent my career helping organizations adapt, and I can say this with certainty: the real difference between teams that thrive and those that stall isn't the toolset-it's how effectively they manage change. And the urgency to get it right has never been greater. Without the right change management, investing in new technology is not going to give you the results you seek. Leaders need to think deeply about how work gets done, how teams collaborate, and how value is created from new tools.

My first experience with technology adoption for a law firm was probably in 1993. I was attending a partner meeting for a top Am Law firm to demonstrate the first version of Lexis on Microsoft Windows. My pitch was strong enough to get a partner to grab the mouse and try for himself. The problem was that he had never used a computer before. When the partner grabbed the mouse, he accidentally highlighted half the screen. Embarrassed, he walked away without saying a word.

When you think about growing your business, it's natural to picture new customers, more sales, and bigger teams. But growth today looks a little different than you might be used to because it also involves making sure your people can work effectively with the systems you put in place. That balance is what makes the difference between growth that feels sustainable and growth that leaves everyone stretched.

Fifteen years ago, being 'computer literate' meant you could navigate Windows or macOS with ease, troubleshoot a printer jam, and perhaps install new software without calling tech support. In 2025, that definition feels outdated. Today's digital workplace runs on applications, mobile devices, and increasingly, AI-powered platforms that handle much of the complexity behind the scenes. How to effectively and efficiently use the array of technologies businesses now employ, has become critical.

Amid the clanging sounds of construction from outside, some of New York City's most ambitious AI adopters aged 60 and over made their way into a 10:15 a.m. class, equipped with notepads and the occasional walker. The Tuesday Intro to Chatting with AI class run by Senior Planet, an AARP subsidiary, had about 20 people. Most had at least some exposure to AI. Some came to learn how to apply AI at their jobs. Others wanted to go neck-and-neck with their grandchildren on ChatGPT.

Federal and state programs have rightly prioritized reaching remote areas, building towers, and upgrading last-mile delivery. But access doesn't guarantee uptake.

Terrence Dwyer, who lives in Oakland, California, found a small-scale solar system that fits on his deck appealing due to its affordability and simple installation.

The heart of the problem with DNSSEC is lack of user visibility, evident from its deployment stats and a significant contrast with HTTPS adoption rates.

While headlines have focused on the gap between the 31 percent with no plans for adoption and everyone else, the more pressing concern might be the 43 percent just winging it.

To navigate emerging AI trends effectively, decision-makers must critically assess their readiness and strategic approach to AI integration.

The increased demand for food delivery services post-COVID-19 has led to a shift from home cooking to a reliance on meal delivery platforms.

The research identified five key individual-level cultural values that can significantly influence consumer adoption of mobile payment technologies.

Small businesses face the challenge of modernizing technology while managing costs, cybersecurity risks, and adapting to remote workforces amid aging devices.

Already popular in the South and parts of the Southwest, heat pumps are now making headway in Chicago and other subzero cities, thanks to better cold-weather technology developed in Europe and Asia, as well as concerns about climate change and financial incentives from utilities and the federal government.

Modern application delivery allows IT teams to simplify and scale operations with solutions like app layering and context-aware automation, though change can trigger hesitance.