In 1865, British economist William Stanley Jevons observed something surprising: as coal-burning engines became more efficient, England didn’t use less coal — it used more. This counterintuitive effect, now known as Jevons Paradox, illustrates how gains in efficiency often lead to greater overall consumption.
Fast forward to today, and we’re witnessing the same paradox unfold — but not with coal. This time, it’s Agentic AI.
Agentic AI: The Efficiency Revolution That Consumes More
Agentic AI refers to intelligent software agents capable of autonomously completing multi-step tasks, making decisions, and continuously adapting based on goals. These agents don’t just optimize—they act, independently orchestrating everything from lead generation and reporting to system monitoring and even strategic experimentation.
As businesses rush to implement Agentic AI to cut labor costs and accelerate outcomes, the marginal cost of running complex operations drops. What used to require full-time employees now takes a few lines of prompt engineering.
But herein lies the paradox: as AI agents become easier and cheaper to deploy, companies are not reducing usage — they’re multiplying it.
- More agents, for more tasks
- More iterations, in less time
- More workflows, across more departments
And with each new use case, the invisible cost curve steepens—compute, data pipelines, storage, and cloud infrastructure balloon.
The Hidden Cost Curve: From Optimization to Overconsumption
Executives often view AI as a cost-saving measure, but Agentic AI is not just another software upgrade — it’s an exponential driver of digital activity. Every efficient action creates more possibility, and more possibility invites more consumption.
Consider the parallels to cloud computing. In the early days, companies believed the cloud would help them spend less on infrastructure. But as provisioning became instant and seemingly limitless, cloud bills skyrocketed — and now, FinOps exists to clean up the mess.
We’re headed for the same scenario with Agentic AI. Except this time, it’s not just about storage or compute — it’s also about monetization.
Why Usage-Based Monetization Is the Only Sustainable Model
To stay competitive in the age of autonomous AI, companies must do more than build powerful agents — they must build scalable business models that can:
- Track consumption granularly (e.g., per API call, per outcome, per time-on-task)
- Charge flexibly (e.g., tiers, drawdown pools, hybrid models)
- Adjust pricing dynamically as AI workload grows
This is where LogiSense comes in.
We equip companies with the tools to monetize AI-driven consumption intelligently — whether you’re offering AI agents to customers, automating services internally, or building new product lines around machine autonomy.
Our platform supports:
- High-frequency event mediation for complex usage streams
- Dynamic rating and billing models for AI usage metrics
- Customer-specific enforced pricing contracts without SKU bloat
- Real-time visibility into AI-driven consumption patterns
Don’t Let AI Efficiency Become a Liability
Jevons Paradox teaches us that efficiency alone isn’t enough. Without the right monetization infrastructure, Agentic AI will create unmonitored cost centers and missed revenue opportunities. You might scale faster — but not profitably.
LogiSense helps you turn AI consumption into revenue, so you can monetize what matters, automate at scale, and maintain control in an era of exponential demand.
How AI Is Shaping Monetization
This panel discussion from The Usage Economy Summit explored the transformative impact of artificial intelligence on pricing strategies. Experts from Five9, 8×8, and Vonage shared insights on how AI-driven innovations are shaping dynamic pricing models, usage-based billing, and service monetization.
Watch the recording to gain valuable perspectives on the evolving landscape of SaaS monetization, the role of AI, and how companies can deliver more personalized and scalable pricing solutions.
Adam Howatson stands at the forefront of the technology and software industry as the president and chief executive officer of LogiSense. Joining the company in January 2019, he has been instrumental in executing its strategy, while also serving as a member of the board of directors. Adam’s journey in the tech world began prior to LogiSense, when he contributed to the growth of OpenText, Canada’s largest software company, as chief marketing officer and senior vice president. His leadership and strategic vision have been pivotal in the development, transformation, and scaling of technology businesses.
Adam’s expertise lies in the enterprise software realm, particularly in delivering cutting-edge usage-based billing and monetization software to major global organizations in the communications, XaaS, and IoT markets. His innovative approach extends to data transformation and artificial intelligence training solutions, utilizing customer usage-events and product monetization telemetry to enhance AI development and automation. This vision reflects his mission to revolutionize how technology and software services are offered and monetized, aligning with the evolving needs of sophisticated businesses in regulated environments.
Beyond his role at LogiSense, Adam’s career encompasses a diverse experience in leadership positions at growing and innovative technology companies and organizations. His expertise also extends to academia and mentorship, having served on the board of directors of the Information Technology Association of Canada and ScribbleLive and as a practicum sponsor for the University of Waterloo MBET program. Academically, Adam is fortified with certifications from the Canadian Forces College, University of Waterloo, and Pragmatic Institute. His media engagements include appearances and contributions to IT Business Canada, CMS Connected, Bloomberg, and The Fast Mode.
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