Artificial intelligence is entering an exponential phase of development, and its impact will soon reach every major industry, including commercial transportation.

While many fleets still view AI as an emerging technology, the foundations for a major digital transformation are already in place: increasingly digitized vehicles, rapidly improving AI models, and autonomous systems beginning to operate in real-world environments.

Earlier this year, several articles written by leaders deeply embedded in the artificial intelligence (AI) ecosystem began to dominate headlines and move markets. Taken together, they all pointed to the same conclusion: AI progress is accelerating faster than most industries realize, and the economic consequences may arrive far sooner than expected.

One of the most widely read pieces was Matt Shumer’s article, “Something Big is Happening.” The piece quickly went viral and has now been read by more than 50 million people.

Shumer’s article is not focused on transportation specifically, but it provides important perspective on what is unfolding across the broader AI landscape. His core message is that AI has entered a phase of rapid, exponential progress, where modern systems are already performing complex knowledge work — coding, analysis, writing, and decision-making — at levels approaching or even exceeding many humans.

He warns that this progress could trigger a powerful feedback loop: AI systems building better AI systems, dramatically accelerating the pace of innovation. As this happens, disruption will ripple across large portions of the global economy in just a few years. 

Shumer notes that breakthroughs are occurring inside a small number of research labs before becoming visible to the public, and that AI has already crossed a critical threshold where progress is happening faster than most people recognize.  Much like the world was blindsided by the sudden onset of COVID-19 between December 2019 and March 2020, he believes that many industries are underestimating how quickly real-world impacts will arrive.

His warning is simple: we are in the early warning stage of a major technological shift, and those who begin learning and adapting now will be far better positioned than those who ignore the signals.

Shumer’s message echoes several other influential AI essays published or recirculated in recent months.

• In January, Anthropic co-founder Dario Amodei published “The Adolescence of Technology,” arguing that we may soon possess AI systems powerful enough to reshape society, while our institutions and governance structures remain unprepared to manage them responsibly.
• In February, Citrini Research released “The 2028 Global Intelligence Crises,” a hypothetical narrative describing a near-future world reshaped by powerful AI systems that begin transforming industries and triggering economic shocks beginning in 2026.
• At the same time, a widely discussed June 2024 essay by Leopold Aschenbrenner, “Situational Awareness: The Decade Ahead,” began re-circulating again across the technology community. His thesis is that artificial general intelligence (AGI) — AI systems capable of performing most cognitive tasks at or beyond human levels — could arrive in the next couple of years.

While each piece approaches the topic differently, they share a common theme: AI progress is accelerating rapidly, and the resulting economic disruption could arrive much sooner than most industries expect.

Stepping back from these couple of articles, we can see that recent developments across the AI ecosystem further reinforce this narrative.

• New models from OpenAI, Google, and Anthropic continue to show dramatic improvements in reasoning, coding, and analytical capabilities. Many observers believe we are approaching a moment when AI systems will rival or surpass human performance across a wide range of tasks.
• The primary constraint to reaching these capabilities is no longer imagination, it is compute scale. However, companies such as Microsoft, Amazon, Alphabet and others are investing hundreds of billions of dollars into AI data centers and compute infrastructure to power the next generation of models.
• Meanwhile, AI is already moving from interesting tools to real productivity engines inside many organizations and real-world employment impacts are starting to be acknowledged.
• AI-powered humanoid robotics and autonomous vehicles are demonstrating capabilities that not only rival human performance in physical tasks but are superior in many ways.

While these developments may seem distant from commercial transportation, the reality is that the foundational elements of rapid digital transformation are already in place.

• Modern commercial vehicles are essentially rolling data centers — highly connected, monitored, and digitally controlled machines. Dozens of electronic control units (ECUs) generate a continuous stream of operational data that can be captured, processed, and analyzed in real time; and these capabilities will only increase as we push forward to full software defined vehicles.
• Increasingly sophisticated AI models are now capable of ingesting these massive datasets and generating operational insights, recommendations, and automated decisions. In parallel, datacenter buildout is happening at a frenzied pace, thus exponentially accelerating AI’s capabilities.
• Autonomous vehicles powered by AI are already operating commercial miles in several regions, and their geographic footprint continues to expand.

Individually, many of these advancements may still feel incremental, or not directly connected to commercial transportation applications. Many fleets are beginning to test AI in pilot programs, demonstrations, or limited deployments. This makes it easy to assume that large-scale change is still years away, or to quickly dismiss AI’s impacts as more hype than reality (with rolled eyes, of course).  However, taken together, and in the context of the broader acceleration and advancements with AI, these technologies represent the early stages of a much larger digital transformation.

Fleets that are already beginning to experiment with AI-driven tools are seeing measurable benefits in areas such as reliability, efficiency, uptime, safety, and cost reductions, thus becoming more competitive and better positioned in the marketplace. They are gaining productivity, intelligence, and operational insight that others simply do not possess.

Competitive advantages gained by early adopters of this digital tech will further compound as AI models become increasingly more powerful, which is happening every few months.  And as we increasingly move towards software defined vehicles, the ability to leverage the enormous data streams produced by commercial vehicles will only further accelerate.

Those that recognize these signals, and begin to roll up their sleeves to learn, demonstrate and deploy, will be best positioned to lead the next era of transportation. Whereas those that don’t, risk being left behind. As history has proven, digital transformation and change will happen quickly – just add Kodak, Blockbuster, Nokia and AOL.

If the last few months have shown us anything, it is that something big really is happening.

Now is the time for fleets, technology providers, and industry leaders to begin understanding how AI is already beginning to reshape the commercial transportation landscape. Digitization, deployment, and real-world use of AI will only accelerate from here, and disruption will arrive with speed and without bias.

Are you ready for the next wave of technological disruption? Those who want to lead and succeed will need to be.

You can check out my recent article here: Buckle Up. The Digital Revolution Has Come for Commercial Transportation.

This article was first published on ACT News.