Executive Summary
Despite the title, it is not primarily a technology document.
Read the Department of War’s January 2026 AI-First Strategy closely and one thing stands out: the memorandum talks about AI, but it spends a surprising amount of time on speed, accountability, experimentation, talent, and execution. Most organizations are approaching AI as a technology initiative: evaluating tools, modernizing data, launching pilots, training employees. That work matters. The question is whether it is enough.
For decades, competitive advantage in government contracting was built on technical expertise, past performance, compliance discipline, and scale. Those still matter. But the strategy puts weight on a different set: decision speed, workforce readiness, organizational adaptability, and the ability to demonstrate measurable outcomes. The contractors that benefit most may not be the firms with the most advanced technology. They will be the organizations that learn faster, adapt faster, and move successful ideas into production more quickly.
A new basis of competition
As AI capability becomes broadly available, access to technology stops being a differentiator. Over time, most contractors reach for similar tools, similar models, similar technical footing. The difference in performance comes from how effectively an organization deploys what everyone can buy.
| What the Market Rewarded | What the Strategy Now Rewards |
|---|---|
| Past performance | Organizational adaptability |
| Technical depth | Decision speed |
| Compliance discipline | Workforce readiness |
| Scale | Outcome measurement |
Look at that second column. Not one item is a technology characteristic. They are all organizational characteristics, and none of them can be purchased. All of them have to be built. That is where many firms are underestimating the work.
Why initiatives stall
When an initiative stalls, the technology usually takes the blame. In practice the causes are more mundane. Decisions take too long. Ownership is unclear. Incentives stay tied to legacy ways of working. The technology moves faster than the institution around it, and that holds for contractors as readily as for agencies.
Three questions to answer before July
The first Pace-Setting AI Project demonstrations are due to the Deputy Secretary around July 2026. Before they land, every leadership team selling into this market should be able to answer three questions without flinching.
Who owns AI transformation?
If the answer is a set of committees, execution is already slow. One clear owner changes the cadence.
How fast can we actually decide?
Governance built to reduce risk has, in many firms, quietly become the thing that prevents adaptation. Decision speed is now a competitive capability.
Can we prove an outcome, not just activity?
Pilots launched, tools deployed, people trained. Activity is easy to show. The decisive question is whether any of it moved a mission or business result you can measure.
At Octant we evaluate AI performance across three connected lenses under the Octant AIR Index℠: AIR-O (organizational), AIR-L (leadership), and AIR-T (technology). Organizations rarely struggle evenly across all three. The objective is not to improve everything at once. It is to name the binding constraint, the one keeping the AI investment from turning into a result, and fix that first.
Topics
The full paper reads the January 2026 memorandum for what it asks of contractors. Free, no gate.