AI and Machine Learning

Vanguard explores artificial intelligence and machine learning through the lens of strategy, governance, productivity, labor, and institutional change. This section examines how intelligent systems are reshaping decision-making, enterprise operations, competitive advantage, and the future of work.

Scaling AI Successfully in 2026: Why Governance and Change Fitness Separate the Winners from the Stalled
Scaling AI successfully in 2026 requires more than launching pilots or giving employees access to new tools. This article follows Meridian Group, a company that had dozens of AI experiments... Read more...
From Models to Value: Why AI Strategies Are Failing—and How to Fix Them
Many companies are investing heavily in AI, but the real challenge in 2026 is turning impressive models into measurable business value. While businesses have launched pilots, tested tools, and encouraged... Read more...
Reimagining Roles and Workflows: AI’s Nonlinear Impact on the Workforce
AI is reshaping the workforce in ways that go beyond simple job replacement or productivity gains. As artificial intelligence becomes part of everyday work, roles are being broken apart, blended... Read more...
The AI Governance Imperative: Why Scaling Succeeds or Fails in 2026
AI governance has become one of the biggest challenges for companies in 2026 as organizations move beyond experimenting with artificial intelligence and try to use it at scale. While many... Read more...
How People Are Really Using AI in 2026: From Marginal Gains to Transformative Impact
Artificial intelligence is becoming a regular part of workplace life in 2026, but its impact is still uneven. Many employees now use AI to draft emails, summarize meetings, create presentations,... Read more...