Helping SaaS & AI CEOs Drive 30–50% ARR Growth | Fractional CMO
Gartner is predicting 40% of agentic projects will drop by 2027. I’m seeing businesses (clients) going through an exit process where the buyer is asking ‘where’s your AI capability?’ There’s so much hype that profitable businesses with strong fundamentals still need to come up with some narrative that shows AI delivering some value. The irony is that many aspect of implementing AI is still a high stakes game. But this somehow gets forgotten. Instead of asking is ‘ai good’ or ‘ai bad’ businesses should ask: ‘are we building something actually useful with AI or just following hype?’
You're right, it's not about whether AI is “good” or “bad.” It’s about usefulness. Utility. Real world impact. Otherwise, it’s just polished hype
Is it actually adding 'value' to my business? Can productivity be increased and time be saved? Cost of it in my business? These are a few questions that we can ask before integrating into the business.
This is such a grounded take Oren Greenberg AI shouldn’t be a checkbox—it should solve real problems. Hype eventually fades anyway, but usefulness compounds.
Important reflection. “Useful” gets lost when the pressure is to sound “innovative.” Maybe the real moat isn’t just AI capability, it’s clarity on why it exists.
Oren Greenberg, As someone who builds AI agents, I always say that we only know if it works until we make it. On paper, a lot is possible, but reality has an infinite abstraction, which AI in its current form is unable to process.
You raise a crucial point about the hype around AI. It makes me wonder how businesses can differentiate between genuine innovation and just jumping on a trend.
Client Services Director | Helping Companies Deliver Scalable Software, Optimise Operations, and Drive AI Innovation
2wThis hits the nail on the head Oren Greenberg. Many businesses rush to add AI as a checkbox without a clear strategy, which only increases risk rather than driving real value. It’s not about AI for AI’s sake, but about embedding it where it meaningfully improves outcomes