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Jason
Sosa

Futurist, AI in Finance, Tech Founder

Insights from experience, not theory.

Profile

Jason Sosa helps leaders cut through the AI hype and understand what actually matters: where the technology is headed, how it is reshaping business, and what organizations need to do now to stay ahead. His core belief is simple: cutting-edge technology only matters when it delivers real business value.

What sets Jason apart is his ability to see AI from every angle. He has been a builder who developed AI systems from the ground up and a CEO and CTO for large corporations, running technology and business strategy at the highest level, with a rare talent for connecting the two. He speaks from experience, not theory.

Jason has spent over 20 years building and deploying AI, and has raised and deployed over $100 million across technology initiatives, giving him a grounded understanding of what it takes to turn AI investment into ROI.

A seasoned entrepreneur, he has built and exited three tech startups, including a venture-backed AI company in New York. Today, he leads Sosa Research, an agentic intelligence lab building next-generation AI infrastructure, including AI memory systems and a forecasting engine that models economic, geopolitical, and technology shifts.

His insights are trusted across industries, from banking and financial services to technology and the public sector. A four-time TEDx speaker with over 100 keynotes delivered worldwide, Jason has presented for corporations, top universities, and governments including Bank of America, Samsung, and MIT. He starred in a full season of Bloomberg's TechStars business TV show and has been featured in Forbes, CNN, The Wall Street Journal, and The New York Times.

Jason speaks on AI in business, AI in finance, the future of work, and leading through technological change. He is available for keynotes, panels, executive workshops, and board briefings. Audiences leave his sessions with a clear framework for what AI means for their organization and what to do next.

Expertise
Talking Points

Inside AI: What's Real, What's Hype, and What's Next

A clear-eyed read on where AI actually stands and where it's heading. What's shipping today, what's still a demo, and what leaders should be preparing for next. No doomsaying, no hype cycle.

From Pilots to Profit: Real Business Value from AI

Where AI value actually shows up, and where it quietly doesn't. How to move past pilots and proofs of concept to measurable return. Built for leaders being asked to justify the spend.

AI in Banking, Finance & Insurance

How AI is reshaping lending, underwriting, risk, compliance, wealth management, and investing. What changes for advisors and analysts when machines handle research, modelling, and client insight. Where automation earns its place, and where regulation and human judgment still set the limits.

The Future of Work

How AI reshapes roles, teams, and hiring across an organization. Which skills gain value, which fade, and what that means for how companies train and how people learn. A practical look at the workforce on the other side of automation.

Beyond AI: What to Build For Next

Robotics, next-generation computing, and energy, and how these converging technologies will reset business models over the next decade. Includes a grounded take on the singularity debate: what accelerating machine intelligence would actually mean for long-range planning, stripped of the science fiction. For leaders making capital, R&D, and hiring bets that have to hold up well beyond the next budget cycle.

Leadership Through Technological Change

Leading teams and organizations when the ground keeps moving. How to make decisions under uncertainty, bring people along, and avoid both paralysis and reckless adoption. Founder lessons from building and exiting an AI company.

AI Under the Hood, Translated

AI agents, AI memory, and LLMs explained for leaders who need to make decisions, not write code. What the technology can genuinely do, what it can't, and what that means for your roadmap. Technical depth without the jargon.
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