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How Corporate Venture Capital is Reshaping Innovation

The corporate venture capital landscape is undergoing a fundamental transformation, driven by evolving economic conditions, new organizational models, and the increasing convergence of internal R&D with external innovation partnerships.

As we navigate through 2025, the data tells a compelling story of how CVCs are not just adapting to change but actively reshaping the innovation ecosystem.

The Numbers Don’t Lie: CVC’s Growing Influence

The momentum behind corporate venture capital continues to accelerate. Global CVC-backed funding reached $65.9B, a 20% YoY increase in 2024. More telling is that CVCs made up 28% of all active investors in 2024, with a shift toward strategic early-stage investing rather than concentration in large late-stage rounds.

This shift represents more than just increased funding. It signals a strategic evolution in how corporations approach innovation.

New CVC Models Emerging in 2025

The Rise of Corporate Venture Studios

The traditional CVC model of pure investment is giving way to more hands-on approaches. Venture studios combine the entrepreneurial spirit of creating new ventures with the scale and resources of corporations. This hybrid model is particularly attractive to corporations seeking deeper control over innovation outcomes.

Corporations across industries are adopting venture studio models to create new businesses from scratch, while leveraging their existing capabilities and market positions.

Accelerator Programs with Strategic Focus

Corporate accelerator programs have evolved into strategic alliances that provide startups with frameworks for growth, product innovation, and market access, rather than just funding and mentorship.

These programs are becoming more sector-specific and deeply integrated with corporate strategic objectives. Companies are using accelerators not just to scout for external innovation, but to create systematic pathways for bringing that innovation into their core business operations.

Innovation Partnership Platforms

A new model emerging in 2025 involves corporations creating comprehensive innovation platforms that combine multiple touchpoints — venture capital, accelerators, partnership programs, and even acquisition vehicles — under unified strategic frameworks. This approach allows for more flexible engagement with startups at different stages of maturity and alignment. An example of this would be the Microsoft for Startups program, which includes a founder’s hub, investor network, regional accelerators, and strategic partnerships.

Economic Shifts Reshaping CVC Strategies

The macroeconomic environment has fundamentally altered how both VCs and CVCs operate right now, with more selective investments emphasizing strategic value, lean models, and clear pathways to profitability. Yet CVCs still maintain their more holistic strategic views of their investments.

Strategic Value Over Pure Returns

Unlike traditional VCs focused primarily on financial returns, CVCs are increasingly prioritizing strategic value creation. This shift has several implications:

  • Portfolio Construction: CVCs are building portfolios that complement and enhance their core business capabilities, rather than pursuing maximum financial diversification.
  • Investment Timelines: Corporate investors can afford longer development cycles when investments align with strategic objectives, providing crucial runway for deep-tech and complex innovation projects.
  • Market Validation: CVCs can offer startups immediate access to enterprise customers and market validation opportunities that traditional VCs cannot provide.

While traditional VCs face pressure for quick returns as markets recover, CVCs may be better positioned to take advantage of the strategic opportunities created by market dislocations.

The Blurring Lines: Internal R&D Meets External Innovation

The most significant transformation in corporate innovation is the dissolution of boundaries between internal R&D and external venture partnerships. This convergence is creating new models of collaborative innovation that leverage the best of both approaches.

Integrated Innovation Ecosystems

Modern corporations are creating innovation ecosystems where internal teams work directly with portfolio companies, sharing resources, expertise, and market access.

This integration goes far beyond traditional corporate-startup partnerships:

  • Shared Technology Platforms: Portfolio companies gain access to proprietary corporate platforms and APIs, while corporations benefit from rapid external innovation cycles.
  • Cross-Pollination of Talent: Employees move between corporate R&D teams and portfolio companies, creating knowledge transfer and cultural bridges.
  • Collaborative Product Development: Joint development projects between corporate teams and startups are becoming more common, leading to products that neither could create independently.

Toyota Open Labs is an open innovation platform that connects startups with various business units across the Toyota ecosystem to drive the future of mobility. The program focuses on key areas such as energy, circular economy, carbon neutrality, smart communities, and inclusive mobility.

From Venture Capital to Innovation Capital

This integration is leading to a new category that transcends traditional venture capital — innovation capital. This approach combines:

  • Financial investment with a strategic partnership
  • Technology licensing with joint development
  • Market access with co-innovation
  • Talent exchange with knowledge transfer

CVC-Driven Innovation Breakthroughs

AI and Machine Learning Revolution

Generative AI funding continues to grow rapidly, with funding in the first half of 2025 already surpassing the 2024 total. According to Bain & Company, Software and AI companies now account for around 45% of VC funding. Corporate venture arms have been particularly active in this space, not just as investors but as strategic partners providing data, compute resources, and enterprise distribution channels.

One notable example is the collaboration between corporate CVCs and AI startups. Examples of this include Salesforce investment in Anthropic, Microsoft’s investment in Databricks, and HP’s investment in EdgeRunner AI. These partnerships leverage corporate scale and customer access while benefiting from startup agility and innovation capabilities.

New Success Metrics

CVCs will increasingly measure success through strategic impact metrics rather than purely financial returns, tracking portfolio companies’ contributions to core business growth, new market creation, and competitive advantage.

The Innovation Imperative

Corporate venture capital is no longer just an investment strategy — it’s become a core component of corporate innovation infrastructure. The companies that succeed in leveraging CVC effectively will be those that view it not as a separate activity, but as an integral part of their innovation and growth strategies.

The data from 2024 and early 2025 clearly show that CVCs are not just surviving economic uncertainty, but thriving by offering startups something traditional VCs cannot: immediate access to enterprise customers, operational expertise, and strategic partnerships that can accelerate growth and market adoption.

For corporations, the message is clear: in an era of accelerating technological change, external innovation partnerships through CVC are essential for staying competitive and relevant. The question is not whether to engage in corporate venture capital, but how deeply to integrate it into your innovation strategy.

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Why startups are leaning into Corporate Venture Capital in 2025 [+ 8 TIPS FOR FOUNDERS]

What founders need to know:

  • CVCs are participating in one of every six startup funding rounds
  • They are backing startups of all sizes, with 65% of their deals now happening at early stages
  • Beyond capital, these relationships offer invaluable resources: distribution channels, technical expertise, and supply chain leverage that traditional VCs rarely provide

In the ever-evolving venture capital landscape of 2025, one trend has become impossible to ignore: startups are increasingly turning to Corporate Venture Capital (CVC) for funding, strategic partnerships, and competitive advantages. This shift isn’t just about money—it represents a fundamental change in how emerging companies view their path to success.

The surge of corporate investors in the VC ecosystem

The numbers tell a compelling story. The number of corporate investors has tripled in the last decade, and they now participate in one of every six startup funding rounds. This isn’t a temporary blip—it’s a sustained transformation of the venture capital landscape.

CVCs’ share of the venture pie continues to expand:

  • 28% of all venture deals in 2024 included at least one corporate investor—a level that has remained in the high 20s for nine consecutive years.
  • 35% of global deal value in Q4 2024 came from CVC-participating rounds, marking the highest quarterly share since 2019, as reported by Bain.
  • Corporate investors gravitate toward larger tickets, which means their share of dollars is trending higher than their share of deals, indicating growing influence over the biggest checks in the industry.

CVCs are dominating mega-rounds

When it comes to the crucial nine-figure funding rounds that can make or break scaling companies, corporate investors have become indispensable:

  • In 2024, over half of all CVC dollars went into rounds of $100 million or more. AI innovators like Perplexity and Lightmatter topped the league tables for the largest CVC-backed deals.
  • The median US deal size with CVC participation was three times larger than non-CVC deals in 2024.
  • Large corporations can fund capital-intensive bets in emerging fields like AI infrastructure, semiconductors, and climate tech, where many traditional VCs hesitate to commit significant capital independently.

Moving earlier in the funding funnel

Perhaps most surprisingly, corporate investors aren’t just waiting for startups to prove themselves before getting involved. Early-stage rounds comprised 65% of CVC deals in 2024, tying the highest share in a decade.

This early engagement signals a fundamental shift, with startups increasingly viewing corporates not merely as strategic late-stage partners but as first-check believers in their vision.

The survival advantage: CVC-backed startups fail less often

According to GCV’s 2024 “The World Of Corporate Venturing” report, the numbers tell a startling story: startups without CVC funding were more than twice as likely to go bankrupt compared to their CVC-backed counterparts. The advantages don’t stop at survival. CVC-backed companies are also twice as likely to advance to the next funding round, creating a compounding advantage throughout their growth journey.

This isn’t just correlation—there are concrete reasons why CVC backing provides a survival advantage.

Strategic advantages CVCs offer beyond capital

In-the-trenches advisors and mentors

CVC partners often provide specialized industry expertise that traditional VCs may lack, including seasoned advisors who have experience and have navigated similar challenges in the corporate world.

Credibility and market validation

A corporate investment serves as a powerful signal to the market, customers, and other potential investors that established industry players have vetted your solution.

Access to distribution networks

The right corporate partner can dramatically accelerate a startup’s go-to-market strategy:

  • Amazon’s backing of Rivian provided capital and a massive initial order for electric delivery vehicles.
  • HP uses its global scale and reach to help support the scaleup of our portfolio companies, whether that be connecting them with new customers to putting a marketing spotlight on their achievements.
  • Walmart’s partnership with vertical farming startup Plenty secured investment and nationwide distribution for its sustainably grown produce.

Supply chain leverage

Corporate backing can transform a startup’s position in the supply chain:

  • Tyson Foods’ investment in Beyond Meat gave the plant-based protein startup unprecedented access to meat distribution channels historically closed to alternative protein companies.

R&D synergy and advancement

The R&D resources of corporate partners can accelerate innovation:

  • Moderna gained access to AstraZeneca’s extensive R&D capabilities and clinical trial networks, accelerating its path to market.
  • OpenAI’s partnership with Microsoft provided crucial access to Azure cloud computing resources, enabling the development of increasingly sophisticated AI models.
  • SoundHound integrated its AI-powered Houndify platform directly into Honda vehicles, gaining access to real-world testing environments that would have been impossible to access otherwise.

Channel access

Strategic CVC partnerships can unlock entire market channels:

  • ChargePoint’s investments from Siemens and Daimler opened doors to integrated EV charging solutions across the automotive and energy sectors.

Customer base access and brand credibility

A corporate partner’s customer relationships can be invaluable:

  • Google’s early investment in Uber helped the ridesharing company establish credibility and integration with Google Maps.
  • Salesforce’s backing of Snowflake provided enterprise validation that accelerated the data cloud company’s adoption among large organizations.

Tips for successful startup-CVC collaboration

For founders considering CVC partnerships in 2025, these strategic approaches can maximize success:

1.          Understand synergy and conflict points

Map out where your interests align with potential corporate investors—and where they might diverge. Be explicit about these in early discussions to avoid painful misalignments later.

2.        Define what success looks like

Is your primary goal additional funding, a proof-of-concept partnership, co-marketing opportunities, or something else? Clarifying expectations early helps both parties measure progress.

3.        Consider scale compatibility

Ensure your startup can reasonably meet the scale requirements of your corporate partner, especially if product integration is a goal.

4.        Qualify interest rigorously

Don’t let big companies waste your most precious resource—time. Look for concrete commitments rather than vague expressions of interest.

5.        Charge for proofs-of-concept and pilots

Getting paid for initial work serves as an excellent qualifier of serious interest. Free pilots often indicate low organizational commitment.

6.        Establish internal champions

Identify and cultivate relationships with specific executives who will advocate for your startup within the corporate structure. These champions are critical for helping you navigate complex organizational dynamics.

7.         Prepare for extended sales cycles

Corporate decision-making, approvals, contracts, and procurement processes typically move much slower than startup timelines. Build this reality into your planning and runway calculations.

8.       Research strategic priorities

Study your potential corporate investor’s latest earnings calls and investor relations materials. As one venture advisor noted, “Listen to the latest corporate investor relations call for insights into what’s on the CEO’s mind, and as context for potential synergies and partnership opportunities.”

Next steps

As we navigate 2025’s challenging funding environment, CVCs represent not just a capital source but potentially transformative partnerships that provide startups with strategic advantages beyond what traditional VCs typically offer.

The data is clear: corporate venture capital has evolved from an occasional player to a central force in the startup ecosystem, offering both enhanced survival rates and accelerated paths to market leadership.

For today’s founders, the question is increasingly not whether to consider corporate venture capital, but how to strategically leverage these partnerships to maximize short-term growth and long-term success.

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Driving Strategic Value through Corporate Venture Capital

Since 2014, corporate venture capital (CVC) has participated in over 21% of venture capital deals with 46% of total VC deal value. Yet, according to PitchBook the number of CVC-backed companies their CVC investors eventually acquired has remained below 4%.

If mergers and acquisitions (M&A) aren’t the primary drivers of the active CVC landscape, what motivates companies worldwide to invest in startups?

Investing for strategic advantage

As the world of technology has continued to flourish and startup companies have emerged as drivers of innovation and markets, larger corporations have looked for ways to tap into the startup and venture communities to drive new business growth and stay competitive. Corporate venture capital allows companies to look beyond their core business to explore and drive future growth opportunities.

Unlike traditional venture capital firms, in many cases CVCs invest strategically to align with their parent company’s long-term goals. These investments drive market and technology insights and help foster strategic partnerships that provide startups with access to enterprise resources—such as distribution channels, marketing, and manufacturing—while allowing corporations to stay ahead of industry trends and technological advancements.

Value creation

As HP’s corporate venture arm, HP Tech Ventures focuses on three key areas of value creation:

  1. Strategic Investments—HP Tech Ventures invests in startups aligned with our corporate strategy to drive insights, deepen commercial relationships, strengthen HP’s market position, and hedge against future industry shifts. These investments aim to drive growth while also delivering financial returns.
  2. Startup Partnerships—Supporting commercial partnerships with startups complements HP’s R&D efforts, helping to fill technology gaps and enhance product differentiation.
  3. Startup and Venture Insights—Investing in startups provides HP valuable insights into emerging markets and disruptive technologies. By leveraging these insights, HP can refine its strategy and remain at the forefront of industry innovation.

Example: creating value in Healthcare

HP’s investment and partnership with Adaptiiv led to the development of 3D-printed, personalized accessories for cancer radiation treatments, enabling more precise and consistent radiation dosage.

Example: creating value in Retail

HP’s investment and partnership with AiFi is enabling game-changing retail experiences. AiFi’s autonomous checkout solution is powered by AI computer vision and demonstrates what happens when technology and retail converge to really deliver on what the customer wants: convenience, speed, ease, and a more informed, personalized shopping experience. AiFi’s solution leverages the HP Engage Express and HP Z Workstations to power its next generation retail experience.

Tapping into trends

Strategic investing also offers corporations a way to tap into trends and innovations early. Investing in startups developing new technologies and business models in emerging areas allow companies to stay ahead of customer demand and position themselves for competitive success.  A great example of this is the staggering number of AI Funds created over the past few years by corporations.  From Google’s launch of Gradient back in 2017 to Cisco’s $1B AI fund established in 2024 there is ongoing, deep corporate investing in this emerging area.  In 2024, AI alone accounted for 37% of CVC-backed funding and 21% of CVC deals.

Shaping your future through investment

Long-term growth and adaptability in a rapidly changing world require companies to develop diverse strategic capabilities. Engaging with the startup ecosystem has become a crucial component of corporate success. HP Tech Ventures is dedicated to this mission, using startup investing as a strategic tool to drive innovation and enable future growth.

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The future of transportation: How AI is helping vehicles think

What happens when computers become intelligent? We are just now beginning to see what this future may look like, as gains in artificial intelligence (AI) are increasing. From intelligent self-driving cars, to AI-powered robot surgeons and smart factories, computers and machines that can learn and adapt will soon change the world as we know it.

While we are still in the nascent phase of AI technology, billions of dollars are being spent on research and development, helping to accelerate AI advancements. IDC predicts AI spending will increase by more than 50 percent year over year and reach $57.6 billion in investments by 2021.

One industry poised for massive disruption from AI-led technology is transportation. Leading automotive manufacturers and technology companies are in a heated race to develop fully autonomous vehicles (AVs) for use as taxis, commercial transportation, personal transportation and more.

All major car manufacturers are currently exploring AV technology. Each day in Arizona, hundreds AVs developed by Google’s Waymo, Lyft, General Motors and Intel roam the streets of Phoenix and other cities. Arizona lawmakers intentionally created minimal regulations for AVs in order to attract AV-related companies, which encouraged a sort of tech boom in the state. Safety advocates have criticized the state’s lax approach, claiming that more regulations around safety, auto cybersecurity, insurance and privacy have not been worked out.

While AVs for personal transportation have garnered a great deal of attention, AI is now disrupting virtually all other areas of transportation. Uber, Waymo and other companies are testing and using autonomous cargo trucks to deliver goods. GE transportation is actively using AI to develop “intelligent” locomotives to improve efficiency of rail transport and Hitachi is using AI to reduce power consumption. Major airline companies already use autopilot technology to do most of the work once a plane is in the sky and can even land a plane in inclement weather. Now they are researching how AI can replace more of a pilot’s responsibilities.

AI is even having an impact on city infrastructure and planning of cities. The U.S. Department of Transportation issued a call for proposals from cities looking into smart infrastructures. It will award 40 million dollars to a city that can demonstrate how to solve critical municipal challenges using innovative transportation technologies, data and applications.

“It is very clear to us that autonomous technology will fundamentally change the industry,” said Michael Ableson, GM’s vice president of global portfolio planning and strategy. “There is no greater impact on the industry than self-driving cars.”

Enjoying this article? Read The butterfly effect of self-driving cars

The brains behind self-driving vehicles
Soon, we may well see the road filled with AVs. According to WinterGreen Research, over 90 million autonomous-capable consumer vehicles, cars and light trucks will be on the road worldwide by 2023.

In order for this to happen, a fully functioning, safe AV needs an enormous amount of computing resources, power and AI that can sort through large amounts of data in milliseconds. The biggest challenge facing AVs is to improve the software powered by machine learning and AI to correctly interpret data that is fed through the car’s sensors. It needs to safely drive a vehicle through various weather scenarios and identify and respond to other cars, animals, pedestrians, bike riders and more. In other words, the AI that controls self-driving cars needs to be error-free. “This is not a recommendation engine for Netflix,” said Danny Shapiro, senior director of automotive at chipmaker Nvidia. “The AI has to be spot on.”

AI is already being used for AVs today, including Tesla’s Autopilot system that helps drivers navigate highways and parking lots. Tesla claims every vehicle it produces has the ability for complete, autonomous driving, yet it will only be activated when the necessary software and government regulations are in place.

Cameras inside certain vehicles now identify drivers and track eye position to see if the driver is distracted or asleep. Cars also now identify and predict potential cross traffic danger. Auto braking features that prevent collisions are in place. In fact, if you have a 2017 car, it most likely has level two partial automation features, which can be steering assistance and accelerating or decelerating under certain situations, as defined by the Taxonomy and Definition for Terms Related to On-Road Motor Vehicle Automated Driving Systems. The next three levels in the classification system are all based on vehicles with automated driving systems that monitor and respond to the environment.

As we continue the road to AI-enabled AVs, here are some other exciting details that are expected to emerge in the coming years:

Automotive self-diagnostics and maintenance
As automobiles become more like computers with wheels, they are increasingly becoming connected and, with artificial intelligence capabilities, will predictively identify maintenance needs. By combining data from advanced Internet of Things sensors, maintenance logs and other external sources, AI will help with better prediction and avoidance of machine failure, according to McKinsey. This could reduce maintenance costs by up to 10 percent.

Predii, a company that provides a platform that enables organizations greater efficiency for repairs and maintenance, predicts that connected cars will be a source of high-frequency data for predictive and proactive maintenance.

“The availability of continuous streams of data from vehicles will empower vehicle monitoring businesses which are responsible for continuous health checks of your vehicle or fleets of vehicles,” according to a white paper by Predii. “Intelligent repair solutions will monitor check engine lights, diagnostic trouble codes, symptoms and data from advanced driver assistance systems.”

Automated cars are programmed to obey laws
Imagine intelligent cars that can drive somebody home who has consumed too much alcohol. Or takes over the wheel if somebody falls asleep. One of the key predicted benefits of having AVs on our roadways is the reduction of traffic accidents. In 2017, there were an estimated 40,000 traffic fatalities in the U.S., with more than 90 percent of them caused by human error, according to the National Safety Council.

Self driving cars are far better than humans at obeying traffic laws, since they are programed to do so. They don’t text and drive, or drive under the influence of alcohol, or drive too fast, which makes them much safer than humans.

Government traffic planners are optimistic that AVs won’t go over the speed limit, which will produce more cohesive and calm roadways with fewer accidents, according to a report last year on speed limits by the National Conference of State Legislatures.

Car Rental Companies become Self-Driving Car Fleet management operators
If a car can drive itself, do we really need to own our own vehicle? Can’t we call Uber to pick us up in one of their AV taxis? That’s the question posed by various automakers, technology and rental car companies, who envision a near future full of “robot taxis” through a ride sharing or rental car service. This “on-demand autonomous” vehicle is a vision of Michael Ableson, GM’s vice president of global portfolio planning and strategy. And it’s why GM paid $500 million for a stake and a strategic alliance in Lyft, the second biggest ridesharing service behind Uber. Ford isn’t far behind, since in August 2016 the company announced a “high-volume, fully autonomous vehicle for ride sharing” by 2021.

With a fleet of AVs, car-sharing companies are expected to have a coherent view of an AV fleet, monitor and manage it, detect issues and enforce policies. Operators can gather data of each individual vehicle including location, mileage, fuel consumption, driving behaviors and even if a door is left open. The AVs can then be remotely controlled to drive to service stations for repair and refueling.

Reroute traffic based on congestion, accidents, etc.
Google maps and other map-based apps have already helped road warriors find the shortest route possible to their destination. As AVs include greater connectivity, the AI behind it can gather data regarding traffic patterns, accidents and slows downs and appropriately — and automatically — reroute for optimal travel. This will help to ultimately lessen traffic congestion.

Tesla’s complete self-driving system will use GPS technology to find the optimal route to its given destination. If the car isn’t given a destination, it can check the owner’s calendar to determine the best destination or take the owner home.

Vehicles as “digital living environments”
It now takes the average U.S. worker 25 minutes to travel to work, according to the U.S. Census Bureau. AVs are expected to free up time for passengers to focus other tasks, including work, socializing, viewing entertainment, etc. Bosch has created a show car to display the company’s “digital living environment” inside AVs. It features large-surface monitors with the ability to have video conferences, display real-time traffic and weather information, email accessibility and entertainment options.

“Alongside the home and the office, the car will become the third living environment and a personal assistant,” said Bosch CEO Volkmar Denner.

Autonomous truck services
In October 2016, the world’s first successful autonomous truck delivery was completed when an Uber truck carried 50,000 cans of Budweiser beer over a distance of 120 miles from Fort Collins to Colorado Springs, CO. Now Uber’s autonomous trucks are delivering goods throughout Arizona. Other AV companies are following suit.

A report by the International Transport Forum claims autonomous delivery vehicles will save costs, lower emissions and improve road safety, compared with trucks operated by humans. New autonomous trucks will have the ability to perform a host of delivery duties including pick up garbage, deliver packages and food, and a numerous other services. All these services can be optimized through advanced logistics for traffic flow.

Public transportation safety and usage optimization
Public transportation also stands to benefit from the use of AVs and the associated logistics operations systems.

In Helsinki, Finland, trial is underway where an autonomous bus transports up to a dozen passengers at a time through a quarter-mile route with restaurants and saunas. The city is expected to expand the trial and provide autonomous bus services throughout the city, in order to measure customer response and basic operations data.

“There’s a lot of demand to solve the last-mile problem,” said Harri Santamala, the city’s project coordinator, referring to the challenge of transporting passengers from centralized transit hubs to their final destinations. “I think this is something we could do with automatic buses. On a real-time basis, we can adjust how they drive and where they make the connection. We’ve learned with this pilot that you can be flexible and synchronize with this technology. We could scale this up to the entire fleet.”

Metro Magazine suggests numerous benefits to a municipal transit system powered by autonomous buses:

  • Trip-planning information is integrated across modes and agencies (public and private), so the general public has the ability to evaluate their travel options with comprehensive information on travel time, cost, environmental impact, and more.
  • Real-time schedules for all transportation modes are centrally available.
  • Vehicles and transit schedules are “right-sized” so fleets are used effectively and there are no more empty buses.
  • Fare payment is made electronically and only one payment is needed for each whole trip.
  • Travel times are generally predictable and well-communicated.
  • Lower income and people with disability populations have access to all of these services.

The future of AVs are near
A world of intelligent vehicles is no longer a novel science fiction idea, but a near future. Passenger busses, taxis, personal vehicles, airplanes, trains and more are set to improve the way we get around. Ford, GE, Volkswagen, Audi, Toyota, Ford, BMW and Nissan are all hard at work creating and testing AVs they say will be road ready by 2020. And the U.S. Secretary of Transportation stated at the 2015 Frankfurt Auto show that he expects driverless cars to be in use all over the world within the next 10 years.

This AI-driven transportation revolution is expected to make our roadways safer, ease traffic congestions, make our transportation systems more efficient and make transportation more enjoyable. And, the trend toward urbanization might be reversed as AVs give people more time to work and be productive.

AI’s potential impact on transportation is immense. Advancements will continue to reshape the industry, how we drive, deliver and ship goods on earth and possibly in space in the future. Get ready to start your AI-powered engines.

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