Makarand Prabhu, Chief Technology Officer, Demand AI
The B2B marketing technology industry has never had more tools, more platforms or more automation. And now, of course, it has AI.
Yet, when you look beneath the surface, much of the industry is still doing essentially the same things it was doing years ago. Finding audiences, targeting them, broadcasting messages, capturing responses and scoring leads. The technology has evolved, but the underlying model has barely changed.
We’re getting better at doing the same things faster and cheaper. But are we actually solving the problems marketers face?
I believe that’s the more important question.
Efficiency isn’t innovation
There is nothing wrong with making processes more efficient. Every business wants to reduce costs, save time and improve productivity. But efficiency and innovation are not the same thing.
If the underlying process is flawed, automating it simply helps us repeat those flaws at greater scale. Generating more content doesn’t necessarily make it more relevant. Sending more emails doesn’t guarantee better engagement. Scoring more leads doesn’t mean we understand buyers any better.
The opportunity presented by AI is much bigger than that. It gives us the chance to question established processes and approach problems from first principles.
Instead of asking how we can automate lead generation, for example, we should ask how we can fundamentally improve the way businesses identify, engage and understand potential buyers.
Build the technology to solve the problem
At Demand AI, this philosophy shapes how we approach product development.
We invest in engineering expertise, software development, proprietary data and global IT infrastructure because we believe meaningful innovation requires more than connecting existing tools or adding an AI feature to an established platform.
Our Amplifye.ai platform brings together audience intelligence, campaign execution and engagement. Our Insyte experiences use conversational AI to transform content consumption into an opportunity for buyers to ask questions and for marketers to understand what they actually want to know.
These aren’t simply faster versions of traditional marketing processes. They represent a different way of approaching the problem.
That requires serious investment: in the people who design and build the technology, the infrastructure that supports it, and the continuous development needed to make it better.
A different kind of technology company
I think the industry needs to become more ambitious about what marketing technology can achieve.
AI should not simply help us produce more, send more or process more. It should help us understand more, make better decisions and create experiences that weren’t previously possible.
That means moving beyond disconnected tools and incremental improvements towards integrated platforms that learn from engagement, generate insight and help marketers decide what to do next.
Ultimately, technology should be judged by the problems it solves, not the number of features it offers or the processes it automates.
At Demand AI, we’re building with that principle in mind. We don’t want to make yesterday’s marketing model marginally more efficient. We want to help create a better one.
The future of B2B marketing won’t be built by making the old model faster. It will be built by having the ambition, engineering expertise and technology to do things differently.