Palantir is applying AI software to US shipyards to dramatically accelerate production. The technology has reduced planning processes that previously took hundreds of man-hours per week to just 10 minutes, and manufacturing bill of materials generation from 200 hours to 12 seconds, aiming to overcome production bottlenecks.
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Block's CTO quantifies the impact of their internal AI agent, Goose. AI-forward engineering teams save 8-10 hours weekly, a figure he considers the absolute baseline. He notes, "this is the worst it will ever be," suggesting exponential gains are coming.
By training AI on your personal data, arguments, and communication style, you can leverage it as a creative partner. This allows skilled professionals to reduce the time for complex tasks, like creating a new class, from over 16 hours to just four.
The most significant productivity gains come from applying AI to every stage of development, including research, planning, product marketing, and status updates. Limiting AI to just code generation misses the larger opportunity to automate the entire engineering process.
Tech companies often use government and military contracts as a proving ground to refine complex technologies. This gives military personnel early access to tools, like Palantir a decade ago, long before they become mainstream in the corporate world.
Contrary to its controversial public image, the Under Secretary of War asserts that Palantir's primary value to the government is solving mundane, critical logistics problems. The software helps track assets like tanks and munitions—a basic inventory management function essential for a massive bureaucracy.
Flexport's AI optimization models achieved a rare win-win: making ocean shipping both 20% faster and 2% cheaper. This defies the conventional logistics trade-off where speed costs more. The AI constantly re-optimizes container placements, a task humans cannot do at scale, particularly for cancelled shipments.
The entire workflow of transforming unstructured data into interactive visualizations, generating strategic insights, and creating executive-level presentations, which previously took days, can now be completed in minutes using AI.
Traditionally, building software required deep knowledge of many complex layers and team handoffs. AI agents change this paradigm. A creator can now provide a vague idea and receive a 60-70% complete, working artifact, dramatically shortening the iteration cycle from months to minutes and bypassing initial complexities.
At Block, the most surprising impact of AI hasn't been on engineers, but on non-technical staff. Teams like enterprise risk management now use AI agents to build their own software tools, compressing weeks of work into hours and bypassing the need to wait for internal engineering teams.
Instead of merely reacting to supply chain disruptions, AI allows companies to become proactive. It can model scenarios involving labor shortages, tariffs, and weather to reroute shipments and adjust inventory promises on websites in real-time, moving from crisis management to strategic orchestration.
