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A decision made at speed by an agentic system cannot be unmade at speed by a human. It’s a mismatch that is reshaping what leadership accountability means and undercutting the value of executive experience, because these systems operate in conditions no one has seen before.
Leaders still decide, troubleshoot, strategize, and drive outcomes—often at greater scale than before. But as agentic systems make decisions independently, leadership is being pushed upstream. Increasingly, decisions must be right in advance, because there may be no meaningful opportunity to intervene at runtime.
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.
Companies are planning AI-driven workforce cuts faster than they are deploying AI itself. According to McKinsey’s 2025 workplace survey, 32% of organizations expect to reduce their workforce due to AI within the next year, yet most haven’t scaled AI enterprise-wide.
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.
