Despite narratives of AI streamlining processes, real-world deployments reveal it amplifies existing inefficiencies, demanding more human intervention and nuanced judgment from operators.
AI isn't streamlining everything. Operators are finding it amplifies existing market inefficiencies and atrophies critical human skills, requiring new strategic approaches.
The modern idea of shareholder primacy, prevalent since the late 70s, is increasingly seen as a counterproductive construct hindering long-term health and innovation.
Eric Ries highlights the Philip Morris acquisition of Vectura as evidence of how shareholder primacy forces value-destroying moves against the public interest. He argues it distorts corporate purpose and long-term health.
Traditional entry-level finance roles for new graduates will largely cease to exist due to AI automation, requiring new hires to possess more senior-level analytical and strategic skills. This forces a re-evaluation of finance talent pipelines and...
AI automation is rapidly eliminating traditional entry-level finance roles, necessitating a shift in hiring towards strategic and analytical skills. Finance teams must adapt talent development for this new reality.
AI's energy hunger is no longer a future problem; it's creating immediate infrastructure vulnerabilities and legal challenges for states like Virginia, which planned for zero power demand growth.
AI compute demand has tripled, but states like Virginia planned for zero power growth. This disconnect strains infrastructure and invites new climate-related lawsuits.
