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AI Arms Race - Maintaining the pace as a corporation
It is 3am and I am wide awake, my mind racing. I am staring down both an existential threat and an unprecedented opportunity that will define my legacy as our leader. The early rumblings of the 5th Industrial Revolution powered by artificial intelligence are already beginning to shake the foundations of manufacturing. I know we have to go all-in on AI or risk being left behind.
This AI revolution is shaping up to be the biggest arms race the industrial world has ever seen. The stakes are simple - adopt AI technologies early and wield them as competitive weapons, or be disrupted and displaced by AI-powered competitors. There is no middle ground, no catching up for the laggards. This is a winner-take-all scenario akin to the nuclear arms race during the Cold War.
I flashback to my younger years in the 1990s when manufacturing underwent its last major transformation - the rapid globalization and outsourcing of production. We, like countless other companies, had been forced to radically restructure our operations and shift production to low-cost regions like Mexico and China just to remain competitive. Entire cities in America’s heartland are hollowed out as factories close and jobs are offshored.
That earlier offshoring arms race had been driven by the need to slash labor costs through access to cheap foreign labor pools. The AI revolution represents an even more disruptive force - the ability to reduce labor costs to near-zero while delivering exceptional quality through automation. While offshoring impacted the blue-collar factory workforce, AI threatens to impact broad swaths of white-collar professional roles as well.
The numbers are staggering. A bachelor’s degree knowledge worker costs a company around $60 per hour in wages and benefits. But an AI system can perform the same 6,000 units of computational work for just 6 cents per hour. That’s a 1,000-fold cost advantage that is impossible for any human workforce to compete with, no matter how low the wages.
I can already see the implications playing out across our operations. Our teams of engineers, analysts, designers, planners and other professionals are all being disrupted by rapid advances in generative AI. An AI assistant can now draft technical documentation, analyze data, create product designs and optimize manufacturing processes at a tiny fraction of the cost. Every dollar we spend on AI capabilities will be multiplied into exponential productivity gains.
The race is on to invest in AI as quickly as possible before our competitors beat us to it. We have to move with urgency akin to the Manhattan Project that built the first nuclear weapons during World War II. We have to apply AI across every aspect of our operations from engineering to supply chain management, factory operations, quality control, logistics and more. Holding back is not an option in this arms race.
I know from hard experience what happens to companies that fail to adapt to technological disruption. Kodak, Blockbuster, Toys ‘R’ Us and other corporate giants had all gone under after missing the digital revolution. More recently, traditional automakers like GM and Ford have been battered by Tesla’s lead in electric vehicle technology. we cannot afford a similar misstep with generative AI.
The Future Shaped by AI
The good news is that we are positioned as an early mover, if we choose to execute. We have been at the forefront of adopting industrial robotics, computer-aided design and manufacturing, networked production lines, and other breakthrough technologies. Our manufacturing operations are highly automated and efficient as a result.
But AI represents an exponential leap beyond the previous phases of automation. This isn’t just about robotics or software - it is about replicating human intelligence, creativity and decision-making in silicon. The possibilities are endless when it comes to streamlining operations, boosting quality, accelerating innovation, and driving down costs. AI can optimize every aspect of manufacturing in a way that simply isn’t possible with human workers and legacy technologies.
I know we have to move aggressively to integrate AI into our sales, service, product development, supply chains, and factory operations. Our first priority will be to apply generative AI to streamline our sales and design processes. Teams of AI assistants will rapidly iterate on new product designs, run simulations, test for flaws, and incorporate real-time feedback from our customers. We can massively accelerate our time-to-market for new products.
On the factory floor, AI-powered robotics, computer vision and control systems can work together to create self-optimizing production lines. Intelligent systems can dynamically adjust processes, reroute workflows, and self-correct errors with hyper-efficiency impossible for human teams to match. Our supply chains and logistics can be synchronized in real-time using AI to minimize delays, inventory costs and waste.
I envision our entire operations being directed by a central AI “brain” that ingests data from every node - from suppliers to factories to distributors - and continuously re-optimizes the entire system for maximum productivity and efficiency. Human workers and domain experts will partner with the AI systems rather than be replaced altogether. But the AI will be the real driver, utilizing human inputs while amplifying our capabilities a thousandfold.
Of course, the potential downsides of an AI-powered manufacturing sector loom as well. Millions of jobs could be displaced as companies adopt generative AI for engineering, analysis, planning, and other roles currently performed by knowledge workers. While new jobs will emerge in areas like AI training and support, the displacement could be brutal for unprepared workers and communities.
Despite the risks, I know there is no choice but to go all-in on generative AI to survive and thrive. This is an arms race that will reshape the entire global manufacturing landscape. The winners will be those companies that most effectively wield AI as a competitive weapon across their operations. The losers will go the way of Blockbuster, their factories and jobs displaced by AI-powered competitors.
I reflect on how the great 20th century powers like the US, Soviet Union, Britain and others had poured billions into the nuclear arms race, space race, and other technological competitions. Entire cities like Los Alamos and Cape Canaveral had been built around developing nuclear weapons and rocket technologies. The brightest scientific and engineering minds had been marshaled into these massive national efforts to gain technological superiority over rivals.
Now it is private companies like ours that are engaged in our own arms race around artificial intelligence. Billions are being invested by manufacturing giants, tech firms, startups and nations to lead the AI revolution. The winners will become the new economic superpowers, dominating the factories and supply chains that form the backbone of the global economy.
I feel a renewed sense of determination as our opportunity becomes clear. We will not be caught flat-footed in this AI arms race. We will double-down our AI investments and accelerate our transformation into an AI-first company. We will be among the first manufacturers to fully harness generative AI as a competitive weapon.
Failure is not an option. Our future - and of the manufacturing sector as a whole - now belongs to the AI-powered.