Palantir’s chief technology officer warns that America might be tripping over its own obstacles in the race with China, with power supplies and local resistance to data centers threatening to slow progress more than foreign competition. He argues that AI can boost manufacturing and jobs today if the country commits to building the needed infrastructure and adopting the tools, but community concerns and political gridlock are creating real drag. The debate is moving into state politics and national security conversations, and the company used a summit to show how AI is already helping frontline workers. This piece lays out the infrastructure dilemma, the labor angle, and why the right policy choices matter now.
Shyam Sankar put it bluntly at Palantir’s American Builder Summit when he said, “The proximate issues are definitely going to be power and backlash against data centers,” describing a new bottleneck that is more domestic than foreign. The U.S. and China are both spending heavily on AI, but building the compute to support advanced systems requires massive data centers and reliable power. Local opposition over water use, noise, and strain on utilities has cost projects time and money and in some cases stopped them entirely.
That resistance is not abstract: candidates in battleground states are already campaigning on worries about environmental and economic impacts, and some lawmakers have floated moratoriums. Developers are reacting by pairing data centers with dedicated power sources instead of relying only on strained grids, but that approach raises its own fights. When infrastructure choices become political footballs, the nation’s technological momentum stalls and competitors don’t wait around.
Sankar warned that the real danger is self-inflicted. “The only threat to AI generating prosperity for America is suicide, not homicide.” He pointed to concrete industrial wins, like a submarine-parts plant that slashed production planning from two weeks to under an hour, freeing capacity to add a third shift. That kind of productivity gain is what the country needs to keep factories humming and to keep jobs on American soil rather than overseas.
At the summit Palantir deliberately showcased people doing the jobs, not theoretical lab demos, with factory hands, healthcare workers and service members showing tools they built for their own needs. The goal was to fight the headline fear that machines will simply replace humans and instead show AI lifting productivity on the shop floor. Sankar made the case that when workers actually experience these tools, they tend to see them as enablers, not job killers.
He criticized the industry’s obsession with chasing artificial general intelligence at the expense of deploying usable systems today that deliver measurable value across industries. Artificial general intelligence, or AGI, is still theoretical and grandiose, while narrow AI can already solve scheduling, quality control and logistics problems. Businesses need to reorganize around the capabilities already available if the economy is to reap the rewards.
That reorganizing means choices about investment and will. “The AI we have is powerful enough that it should have created more prosperity and value,” he said. “The only reason it hasn’t yet is not a failing of the technology, it’s a lack of our national will to push and invest in diffusing the technology through our economy.” From a Republican perspective, that translates into policy that prioritizes domestic manufacturing, secure infrastructure, and fewer regulatory roadblocks that delay critical builds.
Sankar added a sharp line to remind people not to get lost in hype: “We shouldn’t lose the plot in pining away for a machine god,” he added. The message was clear — pursue realistic, grounded deployments that make workers more productive and companies more competitive, rather than chasing an abstract AI future that distracts from near-term gains. Palantir’s fellowship demonstrations were meant to underscore that practical applications create tangible benefits now.
The public mood still trends toward anxiety, fueled by social feeds and doomsday takes about jobs and privacy, which complicates community conversations about new facilities. “How many people have actually, at the front line, have experienced AI and how it’s changed their job versus how many people are imbibing the fear-mongering from the social media feed, which is partially a Chinese Psyop as well.” That line pushed the audience to consider misinformation as an active factor in public resistance.
Policymakers and industry leaders face a choice: double down on the infrastructure and regulatory clarity needed to scale computing and power, or accept slower growth and more risk to national competitiveness. The stakes touch jobs, national security, and economic leadership, and the practical path forward is investing in projects that bring AI’s productivity to workers, shield critical systems, and make the case to communities that the benefits will be real and lasting.
Darnell Thompkins is a Canadian-born American and conservative opinion writer who brings a unique perspective to political and cultural discussions. Passionate about traditional values and individual freedoms, Darnell’s commentary reflects his commitment to fostering meaningful dialogue. When he’s not writing, he enjoys watching hockey and celebrating the sport that connects his Canadian roots with his American journey.