Technology Trends Archives - Making Every Word Count

How Industry Analyst Relations Is Evolving in the New Age of AI

What marketers, product leaders, and technology companies need to know about the shifting industry analyst relations landscape.

I’ve spent more than 20 years working in the Analyst Relations (AR) profession. Over that time, I’ve had the opportunity to collaborate with analysts at many firms, across a wide range of industries, technologies, and engagements. I’ve worked with large global analyst organizations, boutique research firms, and highly specialized independent experts. Each relationship has offered a different perspective on how companies communicate value, how markets develop, and how buyers ultimately make decisions.

Across those two decades, the AR discipline has steadily evolved. New technologies emerged. Industries transformed. Entire categories of enterprise software appeared where none existed before. Yet even with those shifts, the core purpose of analyst relations remained fairly consistent.

Today, however, we are living through one of the most far-reaching periods of change I can recall in my career.

The driving force behind it is artificial intelligence.

Marketing Disruption in the Age of Artificial Intelligence

Today, marketing disruption driven by artificial intelligence is no longer theoretical. It is visible in daily workflows, team structures, and performance expectations. Entire marketing functions that once required weeks of coordination now happen in hours. AI has compressed time, reduced friction, and redefined what effective marketing looks like.

How Effective Are You at Innovation In Today’s Relentless World of Accelerated New Product Introduction?

Most product leaders say they want innovation. Fewer leaders build it into their daily work. Many fall into a quiet routine. You hit deadlines, deliver launches, and show up at meetings. You get solid marks that feel productive. Yet productivity is not progress. Not anymore.

AI is shifting every market. New competitors rise fast. The gap between early movers and late movers grows wider every month. The rules are being rewritten. The pace is punishing. You cannot rely on the same systems that served you last year. You cannot expect current processes to keep up with new expectations. Innovation is no longer optional. It is the core requirement of modern leadership.

So the real question is simple. How do you bring new ideas, new approaches, new partners, and new technologies into your work? What pulls you into those new adventures? What signals tell you that you should change your habits?

The Edge Awakens: Why the Future of AI Won’t Live in the Cloud

For years, enterprises treated the cloud as the ultimate destination for computing. Centralized infrastructure promised scale, accessibility, and predictable cost. Data lakes grew endlessly, and AI models flourished in vast clusters of remote compute power. The future of AI may now bring the end of the cloud’s golden era.

The push to put everything on the cloud worked – until the laws of physics and economics caught up. Latency, bandwidth, privacy, and energy are now real constraints. Every byte that crosses a network consumes time, power, and money. As AI models grow larger and more complex, the cost of moving data often outweighs the value of processing it.

This is where the next chapter in the Future of AI begins. Intelligence is migrating from distant data centers to the physical world, bringing data closer to its source. The cloud was the foundation, but the Edge is becoming the next frontier.

Will AI Shatter the Old Walls Between Software and Hardware?

I’ve spent many years in high-tech leadership, having worked in several product marketing and analyst relations roles. I’ve overseen rebranding campaigns, new product launches, and messaging strategies, working with many teams focused on delivering products that bridge multiple architectures and deployment strategies. My experience has been primarily from a perspective of enterprise software. This includes understanding buyer personas, value propositions, and how to achieve the lowest total cost of ownership. More recently, I’ve begun working in the hardware and chip development industry, in the area of AI semiconductor design. Interestingly, I see more parallels today between the software and hardware industries – a convergence I attribute to the increasing influence of AI.

Now the direction is to orchestrate AI capabilities across hardware and software platforms. This shift is an “agentic” transformation. This wasn’t always the case. In September 2024, Salesforce was an early pioneer in taking a software approach to building agents. One of their Dreamforce 2024 tracks, Build Innovative ISV Apps with Agentforce, discussed how “ISV partners can build Agents and actions for Agentforce using Apex, flows, and prompt templates.”

I don’t recall any conversations about taking an agentic strategy to hardware back in 2024, but I might have missed it! My focus at that time was on closely monitoring the field service management vertical of the enterprise software stack.

Marketing With Agentic AI—What You Need To Know

The pace of AI development is astonishing—especially in marketing—where Agentic AI is taking root faster than almost anywhere else. These observations became crystal clear after I attended last week’s HSE Agentic AI Summit, hosted by Julia Nimchinski (shout out for a great conference!). Tech companies are already replacing entire functions with AI agents. These aren’t just tools. They’re early signs of a shift toward Artificial General Intelligence (AGI).

Why Marketers Need to Now Embrace a VUCA Mindset to Stay Effective

Marketing today is harder than ever. Customer behavior changes overnight. One viral moment can shift entire brand perceptions. Algorithms update constantly, upending months of planning. Budgets tighten while expectations grow. Channels evolve so fast that yesterday’s best practices quickly feel outdated.

In this chaos, the bar for being a strong marketer keeps rising. It’s no longer enough to be creative. You need data skills, agility, and sharp instincts. And, you must make quick decisions with limited clarity. You need to thrive in uncertainty.

Will AI Replace the Future Need For Enterprise Software Applications?

Artificial Intelligence is changing the way the world works. Many industries are already seeing major disruption from AI technologies. This shift is not small or temporary. The pace of change is fast, and the impact is deep. The world will never be the same again. Will the demise of enterprise software applications be next?