Guest Post By Mark M.J. Scott
President of Northern Pixels Inc.
In a future where access to intelligence could be more unequal than access to clean water, Amir Banifatemi is betting on markets rather than regulation to make responsible AI the most profitable form of Artificial Intelligence.
While AI headlines swing between dystopian warnings and utopian promises, Banifatemi has chosen a different path. Rather than simply advocating for “AI for Good,” the thought leader is pioneering what he calls “Good AI”—Intelligence that is inherently beneficial, equitable, and aligned with human agency, by design, not as an afterthought.
Through his work with the United Nations, the World Economic Forum, the International Association for Safe & Ethical AI, and the newly launched RippleCrest fund, Banifatemi is helping shape AI’s future. What sets him apart isn’t just his impressive institutional platform, but his unconventional thesis: that lasting change won’t come from policy papers or regulatory mandates, but from making responsible AI the most profitable path forward. His multi-pronged strategy targets the decision-makers who control capital flows and procurement budgets — making responsible innovation not just morally imperative, but the obvious competitive advantage.
The Personal Mission Behind the Movement
“My demons are fighting ignorance,” Banifatemi explains, tracing his motivation to a unique childhood blend of scientific rigor and human empathy. With a physicist father who introduced him to gravity and relativity, and a poet mother who taught him about human connection, he developed what he calls an “eclectic approach” to understanding both technology’s power and humanity’s needs.
This duality drives his current crusade against what he sees as AI’s potential to create a new caste system, those with access to intelligence and those without. “We’re creating inequality with AI right now by building a system of those having access to intelligence versus those not having access to intelligence,” he warns.
The market implications are staggering. ChatGPT’s tiered pricing, from $20 to potentially $20,000 per month, offers a glimpse into a future where intelligence itself becomes a luxury good. “Most people could potentially afford $20 a month. $200 is a barrier for many. $20,000 is definitely a very high barrier,” Banifatemi notes. This pricing structure could fundamentally reshape society’s access to opportunity and advancement.
Market Makers, Not Just Market Participants
Banifatemi’s strategy focuses on what he calls the “path of least resistance” — targeting audiences with the autonomy and motivation to act quickly. His prioritized influence targets reveal a sophisticated understanding of market dynamics:
First Priority: Entrepreneurs and Startups “Injection of capital basically solves that problem very quickly,” he explains. Startups, driven by ideals and the need to move fast, represent the most responsive audience for responsible AI principles.
Second Priority: Capital Allocators VCs, angel investors, and philanthropic investors—particularly those with “total autonomy in how they invest their money” — can redirect capital flows toward responsible innovation without lengthy approval processes.
Third Priority: System Designers Policymakers, standard bodies, and innovators who think systemically can create frameworks and “safe sandboxes” where responsible AI can be tested and refined.
Notably absent from his top priorities? Traditional regulatory approaches and political channels — what he considers the highest-effort, lowest-impact path to change.
The Corporate Catalyst Strategy
Perhaps most intriguingly, Banifatemi sees Global 500 corporations not as obstacles to overcome, but as the ultimate catalysts for market transformation. His reasoning is economically sound: startups need customers, investors need exits, and corporations have the scale, resources, and market influence to make responsible AI the standard rather than the exception.
“Startups cannot basically build an economy with themselves,” he observes. “Those who have the access to understand policy regulations, taking care of employees, making sure that they align with cities and communities, are large corporations.”
The automotive industry exemplifies this dynamic perfectly. Just as Volvo transformed seatbelts from regulatory requirements into powerful selling points, Banifatemi argues that governance, safety, and agency will become competitive differentiators in AI products. Volkswagen offers a compelling case study — the German automaker isn’t investing in AI safety initiatives out of altruism but responding to an existential threat from Tesla and Waymo. “The software embedded in these AI-first companies is so far superior to anything that Volkswagen had that they need to catch up very quickly,” Banifatemi explains. This competitive pressure has driven Volkswagen to invest in companies like Rivian, develop innovation labs for city mobility, and explore how AI might fundamentally change car ownership models.
Similar patterns are emerging across industries. Fintech firms are discovering that AI transparency becomes a powerful selling point for gaining consumer trust in lending decisions. Health-tech startups find that embedded governance helps secure faster regulatory acceptance and hospital adoption, turning compliance into competitive advantage.
The lesson is clear: corporations adopt responsible AI not because they’re asked to, but because market forces make it essential to survive and flourish.
Structured Opportunities Over Open Innovation
Banifatemi’s leadership experience at XPRIZE revealed a crucial insight about directing innovation. Rather than the scatter-shot approach common in startup incubators —where presentations might jump “from a better drug for Alzheimer’s to a better app to sync your calendar to a robot that delivers food safer” — he advocates for what he calls “structured opportunities.”
The Avatar Prize exemplifies this approach: a $20 million competition that attracted 120 companies all focused on creating robots that could be controlled remotely by human operators, allowing experts to provide aid during disasters without physical presence. “When we create cohorts for innovation, we bring a number of bright minds at the same time to solve for certain problems,” he explains.
This model of targeted innovation challenges could be applied across responsible AI development, creating competitive markets specifically for solutions that embed governance, safety, and human agency from the start. “Imagine a $50M AI Governance Challenge where the best explainability, bias detection, and human-in-the-loop systems compete head-to-head, with the winners deployed across industries in months rather than years.”
Beyond Impact Investment: Embedded Governance
Traditional impact investing, Banifatemi argues, is fundamentally flawed because it treats social good as a separate consideration from economic return. “Impact investment should disappear as a term,” he declares. “We basically build investment that have embedded governance in them and embedded agency in them.”
This represents a radical rethinking of how markets can incentivize responsible behavior. Rather than asking companies to trade off profits for social good, the goal is to make governance and agency inherent features of successful technologies.
The Ecosystem Evolution
Early signs suggest this market shaping approach is gaining traction. Microsoft and Google have committed substantial resources to good AI initiatives. Academic programs are creating research directions focused on responsible AI. The EU AI Act and similar regulatory frameworks are emerging globally. More than a thousand startups worldwide are now working in the Good AI and responsible AI space.
But Banifatemi acknowledges the challenge: “We invest into Nvidia chips much faster than we invest into last mile of health.” The market’s natural tendency toward high-return, low-friction investments means responsible AI advocates must make their solutions equally compelling to capital allocators.
Redefining Success Metrics
For Banifatemi, success isn’t measured in white papers or policy declarations, but in market adoption of three key principles:
- Responsible innovation becomes market standard, not niche — startups routinely launch with built-in governance technologies that can be tracked and audited
- Investment without trade-offs — economic returns and social value become aligned rather than competing priorities
- Community agency — vulnerable groups gain meaningful choice in how technology affects their lives, not just access to predetermined solutions
The Experimentation Imperative
Unlike the document-heavy approach of traditional international organizations, Banifatemi’s philosophy centers on experimentation. “Papers are good, it frames, it helps people intellectually conceptualize, understand the ramifications and the context, but nothing replaces experimentation,” he argues.
This startup mentality — rapid testing, learning, and iteration — is being applied to global policy challenges. Singapore’s healthcare sandbox model offers one example of how governments can create environments for testing responsible AI without full regulatory overhead. The Ministry of Health has established a regulatory sandbox for AI software-as-medical devices where licensed public healthcare institutions can deploy AI tools in-house without requiring manufacturer licenses or product registration, treating all public healthcare institutions as one unified system for testing purposes. This approach allows real-world experimentation while maintaining safety guardrails.
Looking Forward: The Dance of Giants
Banifatemi’s ultimate vision requires what he calls making “an elephant dance”— helping massive corporations and institutions move toward responsible AI adoption. The key insight is that this transformation won’t happen through moral suasion alone, but through market forces that make responsible AI the obviously superior choice.
“I don’t have the answers,” he admits in closing, “and nobody does. We’re just trying to experiment, learn.” But his market shaping strategy offers something more valuable than certainty: a systematic approach to creating conditions where Good AI becomes the natural, profitable, and competitive choice for organizations worldwide.
About the author:
Mark M.J. Scott is President of Northern Pixels Inc., the world’s only marketing firm founded and led by deep tech and advanced tech startup veterans, each with a track record of successful commercialization and exits via acquisition. Mark has held pivotal leadership roles in several startup successes, including a cryptography company acquired by AppDirect, an optics firm acquired by Toyota, and TrueContext, an enterprise low-code platform acquired by Battery Ventures in 2024. Recently, Mark was engaged by Quebec’s $435M-funded Quantum Innovation Zone to design and implement commercial strategies that accelerate startup growth and success. Mark can be found on X / Twitter: https://x.com/MarkMJScott
