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When I look at what happened with UnitedHealthcare’s Change Healthcare unit, I think it shows the problem very clearly. Change sits in the middle of an enormous volume of U.S. medical claims, so when a cyberattack hits, it does not stay contained.
This situation disrupted claims processing across the healthcare system, raised the prospect that a massive amount of personal and health data had been stolen, and put management under immediate pressure to answer questions.
Systems go down. Data gets stolen. The ransom guys say one thing, and the company says another. Regulators want disclosure, shareholders want answers, and management has to sign public statements before anybody knows everything.
That's what I call the bad poker game.
As autonomous AI gains momentum, the same technology that threatens networks could be their best defense.
One thing remains true for all technological advancement: a tool is as ethical as its user. That will again be made abundantly clear if agentic AI takes off this year, as anticipated by the likes of Nvidia CEO Jensen Huang. Unlike their generative predecessors, AI agents have the capacity to think and work autonomously, so they can scale existing attack methods much more efficiently across multiple vectors simultaneously.
HandsOn Global Management, a strategic investor in visionary entrepreneurs and groundbreaking technologies with investments across agentic AI serving Healthcare, banking, insurance industries today announced it has formed a strategic partnership with HealthAxis Group LLC (“HealthAxis”), a provider of core administrative processing system (CAPS) technology serving the healthcare industry.
While America retrofits legacy infrastructure, India and Saudi Arabia are building from scratch.
The U.S. has the technological lead on AI models, but what is not being talked about enough at the enterprise level is the fact the legacy infrastructure they run on is not fit for purpose.
When Nvidia convinced the White House to sell downgraded chips to China, critics warned it would undermine U.S. security and erode our AI advantage. In reality, it was a win-win, driving growth in both countries while protecting America’s technological lead.
In the debate about the impact of automation and agentic AI on the American workforce, there are two camps: those sounding the alarm on massive job displacement and those who want to know which specific roles will be eliminated. The difference is stark. Vague warnings will likely only lead to panic and bad policy responses. But, as a country, if we know which jobs are at risk, we can prepare, retrain, and adapt.
