Browse TechStart reporting and practical guidance about ai & automation.
Artificial intelligence may expand the economic pie, but its benefits will be distributed through markets, ownership, infrastructure, competition, and organizational choices—not by technology alone.
The phrase AI in warfare often evokes a weapon selecting and attacking a target without human intervention. That is a real and urgent policy issue, but it captures only one part of a broader transformation.
Artificial intelligence is becoming an industrial and geopolitical system built on semiconductor supply chains, data centers, electricity, talent, standards, and strategic dependencies.
AI is now common in business conversation, but business adoption depends heavily on how the question is asked. Nationally representative U.S. Census data place current business use well below the very high figures reported in surveys that ask whether any…
The enterprise AI gap is no longer access to models. It is the ability to redesign workflows, connect trusted data, govern autonomy, change behavior, and prove value at scale.
AI is lowering the cost of persuasion, analysis, and scale for attackers while giving defenders new tools for detection and response. The near-term result is faster conflict, not automatic victory for either side.
When AI can read data, call tools, send messages, change records, or spend money, security must govern identity, intent, permission, action, and recovery—not only model output.
AI history is not a straight march toward human intelligence. It is a cycle of ideas, data, hardware, institutions, setbacks, and breakthroughs that repeatedly changed what machines could do—and what society expected from them.
Start with the work, define the evidence, and resist buying a workflow you cannot explain.
