Skip to content
‹ Back to IndustriesIndustrial IoT

The Great American Robotics Race

The 21st century has nearly two decades under its belt, and the advancements in robotics and Artificial Intelligence are truly turning science fiction into reality. With the Amazon Echo, equipped with AI superstar Alexa, currently owned by more than 20 million consumers, more American businesses are starting to pay attention and implement AI in their…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Christian Wilson ·
Share
The Great American Robotics Race

Key takeaways

01

The 21st century has nearly two decades under its belt, and the advancements in robotics and Artificial Intelligence are truly turning science fiction into reality.

02

With the Amazon Echo, equipped with AI superstar Alexa, currently owned by more than 20 million consumers, more American businesses are starting to pay attention and implement AI in their…

Free workspace

Turn your Industrial IoT expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

The 21st century has nearly two decades under its belt, and the advancements in robotics and Artificial Intelligence are truly turning science fiction into reality. With the Amazon Echo, equipped with AI superstar Alexa, currently owned by more than 20 million consumers, more American businesses are starting to pay attention and implement AI in their own companies. Automated robots and other robotic technologies have already left their marks on manufacturing sectors in the US. The race to producing superior robotics and AI is not limited to domestic borders, either. America now faces more pressure than ever to keep up with manufacturing powerhouses like China and Russia without sacrificing American jobs in the process—walking a dangerously thin tightrope.

The use of robots in the US is not limited to the manufacturing sector. Best Buy tested a one-armed robot, Chloe, at one of its Manhattan stores. Customers walk up to Chloe and with the help of a touch screen search for a movie or game they want and receive it within thirty seconds, eliminating the need to search aimlessly amongst shelves. The hospitality industry is beginning to see the benefits in employing robotic work as well. Luxury hotel chain, Yotel, has its own resident robotic bellhop, appropriately named the Yobot. Its version of a one-armed robot provides guests with an automated and secure means of luggage-handling, making check-in and check-out a breeze, all with no tipping required. (The robot won’t mind).

Machine learning, aka Artificial Intelligence, is also impacting American industries. AI software is changing how businesses run with better overall communication, logistics, and synergy within a workplace. Narrow AI, a type of machine learning focused on one specific task, is proving to have several important functions for different companies. Watson IBM is a prime example of an industry leader demonstrating the level of software advanced available. The machine learning branch of tech giant IBM creates technology for every industry from healthcare to advertising. Watson Advertising can help get messages out to consumers during critical marketing periods. National Coffee Brand is an example of a company successfully using the Watson AI, as told by IBM. Along with the software’s unique AI capabilities, this company was able to use an area’s warmer weather data to automatically generate ads for iced coffee to its inhabitants. Its website click-through-ratio during that time went up almost a tenth of a percent, seemingly insignificant, but exceeding Performance Indicator Benchmarks by 33%.

The United States does face some serious competition overseas, however. In 2015, China implemented a state-sanctioned strategy of mass manufacturing, smart technology, and IOT investment and innovation: “Made in China 2025.” Under this plan, according to the Center for Strategic and International Studies, “The plan identifies the goal as raising domestic content of core components and materials to 40% by 2020 and 70% by 2025.” The Chinese Ministry of Industry and Information Technology already estimates that funding will likely exceed $1.5bn and will garner cooperation from countless Chinese banks, providing loans and financing for these projects. In a competitive climate not seen since the Space Race of the 1960s, the robotics and AI industry is flourishing. Robots are getting cheaper and more capable while AI is expanding its abilities in astonishing ways. The future is artificial, and the future is intelligent and global industries will take advantage of this revolutionary technology—making it imperative for American interests to not be left behind.

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

CW
Christian Wilson
B2B Weekly

The week in Industrial IoT, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Industrial IoT Insights

Mapbox says Traffic 2.0 gets arrival times right on 98% of trips

Mapbox says Traffic 2.0 gets arrival times right on 98% of trips

Mapbox says Traffic 2.0 gives accurate ETAs on 98% of trips. For logistics and field teams, the value is fresh road and place data AI agents can act on.

  • 01Traffic 2.0 claims accurate ETAs on 98% of trips, a vendor figure fleet teams can benchmark against ETA accuracy on their own lanes.
  • 02An AI agent that reroutes a driver is only as useful as the traffic data underneath it; Mapbox's agentic mapping engine processes anonymized movement data from over 45,000 applications.
  • 03The Places API, now in public preview, combines business listings with entrances, building footprints, operating hours and visitation patterns; leaving preview is one signal to watch.

Sep 28, 2026

Telit Cinterion shows LTE-linked RTK GNSS demo; 1–2 cm in testing

Telit Cinterion shows LTE-linked RTK GNSS demo; 1–2 cm in testing

At The Things Conference in Amsterdam, Telit Cinterion demonstrated a CMB100 LTE Cat 1 bis kit feeding Swift Navigation correction data into its SE868K5-RTK receiver. The receiver averaged 1-2 centimeters in testing. In a finished product, performance still depends on signal level and antenna quality.

  • 01The CMB100 cellular setup fed Skylark Nx RTK corrections to the SE868K5-RTK receiver, which averaged 1-2 cm in testing.
  • 02Demo figures come from controlled testing; the receiver's own launch materials say final performance depends on signal level and antenna quality, so product enclosures and antenna placement need their own validation.

Sep 27, 2026

Toyota estimates 1T yen/year for automation from 2028

Toyota estimates 1T yen/year for automation from 2028

Toyota told investors factory automation could cost about 1 trillion yen ($6.4 billion) a year from 2028 across Toyota, group companies and major suppliers, CNBC reported. Toyota also said it could take roughly 400,000 robots. The company has not committed to the spending or said how long it would run, CNBC reported.

  • 011 trillion yen ($6.4 billion) per year estimated spending on factory automation starting 2028
  • 02About 400,000 robots needed across Toyota, group companies and major suppliers including replacements and new installations
  • 03Automation scope covers industrial robots, automated material handling, and future human-robot collaboration on factory floors

Sep 23, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

CW
Christian Wilson

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512