The electric air taxi industry has spent years perfecting the aircraft itself, but a critical problem has been quietly building in the background: how to safely manage dozens or hundreds of electric aircraft flying through the same congested airspace at once. Joby Aviation and Air Space Intelligence announced a partnership on April 7, 2026, to tackle this overlooked challenge head-on, combining Joby's operational experience with AI-driven airspace management technology before commercial operations begin later this year .

Why Is Airspace Management the Real Bottleneck for Electric Air Taxis?

The conversation around electric air taxis has historically focused on the visible components: battery technology, noise reduction, and aircraft design. But as Joby moves closer to commercial operations across multiple U.S. states, a harder question has emerged: the skies may be ready for one or two electric air taxis, but they are almost certainly not ready for hundreds of them maneuvering simultaneously through the same corridors above Manhattan, Miami, and Dallas .

This is where Air Space Intelligence enters the picture. The Boston-based aerospace software company has spent years solving coordination problems for conventional aviation. Its Flyways AI platform uses high-fidelity four-dimensional modeling to simulate airspace conditions hours in advance, allowing air traffic controllers to proactively reroute aircraft flows before congestion occurs rather than reacting after the fact . Alaska Airlines and the U.S. Department of Defense are among its existing customers, giving ASI a dataset and regulatory credibility that most newer entrants in the advanced air mobility space cannot easily replicate.

The partnership represents a fundamental shift in how the industry thinks about scaling electric flight. Rather than treating airspace management as a problem to solve later, Joby and ASI are building it into operations from day one, with live operational exercises expected before the end of 2026 .

How Will AI-Powered Airspace Management Work for Electric Air Taxis?

• Predictive Coordination: Flyways AI generates human-interpretable lookahead scenarios that show air traffic controllers what airspace conditions will look like hours in advance, enabling proactive rerouting instead of reactive crisis management.
• Integration with Existing Systems: Unlike earlier unmanned traffic management systems designed for drones, Flyways AI is built to slot directly into controllers' existing interfaces, augmenting rather than replacing human judgment in the tower.
• Real-Time Decision Support: The platform ingests live traffic data, weather feeds, and demand forecasts to provide decision-ready recommendations that help operators and controllers coordinate high-density operations safely.

What makes this approach particularly significant is its design philosophy. Flyways AI is not a parallel system operating alongside the National Airspace System (NAS); it is designed to work within existing air traffic control workflows. This matters because aviation regulators are still defining what AI assistance in the cockpit and in the tower is, and is not, permitted to do. By demonstrating how AI can augment human decision-making rather than replace it, Joby and ASI are helping to establish a template that regulators globally are working to define .

"Scaling advanced air mobility requires more than new aircraft. It requires a new operating system for the airspace. Our Flyways AI platform gives operators and controllers the predictive awareness to coordinate high-density operations proactively, not reactively," said Bernard Asare, President of Civil Aviation at Air Space Intelligence.

Bernard Asare, President of Civil Aviation, Air Space Intelligence

What Does Joby's Operational Status Mean for This Partnership?

Joby is not starting from scratch. The Santa Cruz-based manufacturer has conducted more than 1,000 test flights of its S4 aircraft and completed Stage 4 of the Federal Aviation Administration's five-stage type certification process . More importantly, in March 2026, Joby was selected to participate in five projects under the White House-backed eVTOL Integration Pilot Program (eIPP), giving it the legal pathway to begin passenger operations in states including New York, Florida, Texas, North Carolina, and Utah before full certification is granted .

This operational readiness is what makes the partnership with ASI timely and credible. Joby has also built a commercial ecosystem that few of its rivals can match: a partnership with Delta Air Lines that includes vertiport infrastructure at John F. Kennedy International Airport and Los Angeles International Airport, a $250 million strategic investment from Toyota, a 25-site vertiport deal with Metropolis, and an active Dubai operation that represents the company's first revenue-generating international market . Its SuperPilot autonomy stack, developed with Nvidia's IGX Thor platform, is designed to progressively reduce cockpit dependency as regulatory confidence grows.

By running live operational exercises with Flyways AI ahead of the FAA's Brand New Air Traffic Control System (BNATCS) rollout, the two companies will be able to generate real-world data on how AI-mediated coordination performs alongside human controllers. That data is precisely what the FAA needs to define the standards that will govern every eVTOL operator in the country . In other words, Joby and ASI are not merely preparing their own operations; they are helping to write the rulebook.

"America has long set the global standard for aviation, and modernizing our airspace is key to maintaining that leadership. By combining Joby's operational capabilities with ASI's advanced AI-driven Flyways platform, we're helping build the intelligent infrastructure needed to integrate electric air taxis seamlessly into the NAS," said Greg Bowles, Chief Policy Officer at Joby Aviation.

Greg Bowles, Chief Policy Officer, Joby Aviation

Why Does This Partnership Matter Beyond Joby?

The timing of this partnership is not accidental. The FAA's BNATCS is now under active development, representing a $32.5 billion overhaul of the U.S.'s aging telecommunications, radar, and automation infrastructure. Congress has committed $12.5 billion, with a further $20 billion still required. The program will introduce 5,170 new high-speed network connections across fiber, satellite, and wireless, and is expected to include automated decision-support tools specifically designed for the influx of new traffic categories, including drones and eVTOLs, that current systems were never built to handle .

This infrastructure investment at scale echoes broader AI infrastructure deals reshaping technology's physical footprint, with companies moving quickly to own the foundational layers before standards harden. The Joby-ASI partnership positions both companies to influence how those tools are designed and implemented. By demonstrating working solutions ahead of the BNATCS rollout, they are establishing themselves as key players in defining how the next generation of air traffic management will function.

The challenge ASI is addressing sits at the intersection of aviation safety and AI governance, an area that regulators globally are still working to define. Autonomous or AI-assisted systems operating in safety-critical environments require a level of explainability and auditability that most machine learning architectures were not originally designed to provide. PRESCIENCE's four-dimensional simulation approach, which generates human-interpretable lookahead scenarios rather than black-box outputs, is partly a product of this regulatory reality. Making AI legible to air traffic controllers is not a nice-to-have; it is a certification prerequisite .

Initial results from the partnership's live operational exercises are expected by the end of 2026, with demonstrations likely to occur in markets where Joby has eIPP designations, such as New York and Florida. The exercises are expected to produce data that can be submitted to the FAA as part of the ongoing NAS integration process, contributing to the regulatory record that will define how all future eVTOL operators handle airspace coordination at scale .