The 8 numbers that explain what’s really happening with AI adoption

The 8 numbers that explain what’s really happening with AI adoption

There is no shortage of evidence that companies are adopting Artificial Intelligence (AI). Every quarter brings another survey showing that more organizations are experimenting with generative AI, putting models into production, giving employees access to copilots, or increasing their spending on the technology. At the same time, there is a growing body of evidence suggesting that the economic impact of all this activity remains much less significant than the level of investment would imply. Both observations can be true, and when the numbers are put side by side, the apparent contradiction becomes easier to understand. Therefore, a more useful way to think about the current state of enterprise AI is not to ask whether companies are adopting it. They clearly are. The more important question is whether companies are changing their operations quickly enough to turn widespread access to AI into any meaningful business outcomes.

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Is your product actually a solution, or is it a platform?

Is your product actually a solution, or is it a platform?

The software industry loves labels. Product. Solution. Platform. Network. Offering. They're often used interchangeably, but they don't necessarily mean the same thing. There isn't a universally accepted definition for these terms, but there are some widely accepted perspectives in the software industry worth taking into consideration when you develop your go-to-market messaging. More importantly, using the right terminology helps set the right expectations with your customers.

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9 AI-Native Supply Chain Planning trends reshaping the industry

9 AI-Native Supply Chain Planning trends reshaping the industry

AI-native supply chain planning is becoming a more visible part of the technology landscape. Over the past year, Alex Pradhan has spoken with a growing number of newer supply chain planning vendors and identified a number of characteristics and trends that distinguish AI-native platforms from traditional systems being retrofitted with AI.

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Article Why ChatGPT ads are a big deal for B2B SaaS

Why ChatGPT ads are a big deal for B2B SaaS

By: Alex Shapoval | 5 min read

Just a few months ago, OpenAI removed the $50,000 minimum spend requirement from ChatGPT cost per clicks ads. This is a big deal because now AI marketers at B2B SaaS companies can start experimenting with this new paid lead generation channel. Here's why we’re going all in on ChatGPT ads.

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Article How AI Assistants recommend software

How AI Assistants recommend software

By: Alex Shapoval

AI assistants recommend software by combining user context, public information, source quality, product descriptions, comparisons, and model behavior. They do not simply rank websites the way a search engine does. They synthesize. That means SaaS brands need clear category pages, consistent positioning, verifiable claims, third-party proof, and comparison content that helps the assistant explain fit.

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