In response to a recent article by Paul Bent on AI, Dario Morelli argues that the real competitive edge in equipment finance lies in designing smart, practical collaborations between human judgment and machine intelligence.
A recent article by Paul Bent from the Alta Group highlights a valid concern shared across the equipment finance industry: the rise of AI is prompting anxiety about jobs being ‘roboticized out of existence,’ and he rightly emphasizes the enduring value of human intuition, creativity and connection in areas such as sales, customer service, credit and underwriting, risk management and asset management.
At NETSOL, we agree that human skills and experience are irreplaceable, but we also see a broader opportunity: rather than positioning AI as a threat to human roles, we should champion it as a strategic partner that amplifies human decision-making and unlocks new value across the industry.
By reframing the discussion from fear of replacement to integration and augmentation, equipment finance leaders can better prepare the next generation for a future in which AI enhances efficiency, fuels innovation and strengthens the human-centric capabilities that Bent identifies as critical for long-term success.
In his recent article, Bent states:
In the early days of digital computing, the great U.S. philosopher Mortimer Adler opined that computers would not be capable of achieving what humans had achieved for one somewhat surprising reason: They cannot make mistakes. They cannot learn from mistakes, novel applications and false starts. They are not capable of intuition, hunches and gut instinct, from which many of the most important achievements in human history have sprung.
My take: Current AI systems use a technique called ‘reinforcement learning,’ which adapts the AI’s strategy in its pursuit to maximize a reward. Mistakes, in this sense, are accounted for and form an essential element to self-correct and improve. Human intuition in the strictest sense is not needed as long as the AI can act on feedback.
Bent also stated the following in his article:
Simply teaching human-sounding AI bots what to say in every predictable situation, even with their access to massive volumes of data and information, may not be sufficient in dealing with emotional, high-pressure, time-sensitive or unique issues.
My take: True. Equally though, a small portion of customers’ conversations fit the criteria above. Less sensitive and more mundane queries can (and should) already be handled by AI. This leaves space for the more critical interactions where the human touch is still superior and necessary.
Bent also wrote:
Future credit analysts and officers will likely employ increasingly sophisticated scoring models and methods, but the integration of these methods with human understanding based upon years of experience (and applying that experience to honing the AI models to a finer edge of decision-making) will allow the use of AI in credit and underwriting to reach its full potential.
AI can make the human experience element less opaque by adding a layer of explainability, i.e. the more both human and AI decisions become transparent, the more consumers benefit.
Conclusion
Ultimately, the question facing equipment finance leaders is not whether AI will replace humans, but how effectively organizations will design systems in which humans and AI learn from one another. When deployed thoughtfully, AI removes friction from routine processes, surfaces insights at scale and brings greater consistency and transparency to decision-making. In doing so, it allows professionals to focus their time and expertise on higher-value activities that demand judgment, empathy and strategic thinking, precisely the areas where human contribution matters most.
The next generation of leaders will be defined not by their resistance to AI, nor by blind faith in it, but by their ability to orchestrate meaningful collaboration between technology and people. By embracing AI as an augmentative force rather than a substitute, the equipment finance industry can move beyond fear and towards a more resilient, efficient and human-centric future: one in which innovation strengthens, rather than diminishes, the role of human expertise.
Dario Morelli is Vice President of Artificial Intelligence at NETSOL Technologies. Based in the United Kingdom, Morelli leads NETSOL’s Transcend AI Labs – its new innovation hub for AI-driven automation, consulting and product development.
