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CES 2024 Showed that the Future of Cars will be Defined by AI, Reports IDTechEx

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BOSTON, Feb. 16, 2024 /PRNewswire/ — IDTechEx’s new report, “Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts“, highlights the biggest changes coming to cars over the next ten years. Electrification will change what powers cars, and automation will change how they are driven, but one of the biggest opportunities is connectivity and software definition, which will change how cars are monetized. This was blindingly apparent at CES 2024, where it felt like “autonomous”, “connected”, “AI” and “software-defined vehicle” were prerequisite buzzwords for exhibitors to get through the door.

IDTechEx’s reports, “Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts” and “Connected and Software-Defined Vehicles 2024-2034: Markets, Forecasts, Technologies” found that connected and software-defined vehicles have the greatest potential for growth in the automotive space. The reports found that these technologies will grow at a compound annual growth rate of 21.1% between 2024 and 2034, reaching a value of US$700 billion. That’s around US$400-500 per vehicle on the road. So where is all that revenue going to come from?

At CES this year, IDTechEx saw where some of this revenue will be coming from. Firstly, there will be the AI assistants in the cabin. This was a big focus from players like Mercedes, Amazon Web Services (AWS), and Qualcomm. The early functionality of these will be a more natural interaction with the car’s systems. Voice commands in cars are nothing new and have progressed over the years from an unusable gimmick to something that some readers will now be thinking, “Oh yeah, my car does have voice commands”. Even the best systems today are slightly clunky and require the user to memorize specific nomenclature and ways of phrasing requests.

Over the past few years, the world has seen how much AI has grown, with chat GPT proving that machines can replicate normal human conservation. At CES, IDTechEx saw how this can contribute to the vehicle experience. Qualcomm and AWS both had demonstrator interfaces that had been trained on the vehicle’s owner manual. This is an ideal first application as customers can ask about features on the vehicle and get an understandable explanation from the AI assistant. For example, the driver could ask the assistant, “Why is the engine turning off when the car is stopped?” and the assistant can explain that this is designed to save fuel and let the driver know how to turn it off if they desire. Another application is simply interacting with the vehicle’s settings. Lots of cars already have voice control systems that can change the climate control settings, but AI assistants offer a far more natural way of doing this. Drivers won’t need to hone their commands, and use specific words; they can say “I’m cold”, “turn the heat up”, “set the temp to 20 degrees” or “temp to 70 degrees” and the car will make the change accordingly.

AI assistants will likely come as a subscription service, though, especially since they tend to rely on connectivity. AWS’s AI assistant for the car is a cloud service, connecting to AWS servers to execute the AI functionality. Qualcomm’s latest chips incorporate built-in AI accelerators,  allowing the vehicle to offer some AI features even when offline. However, it will likely require some connection for regular updates and requests that require accessing data that is not stored on the vehicle, such as calendar information or Wikipedia articles. Either way, AI assistants will very likely be a premium service, perhaps with the first year for free, to entice customers and demonstrate value.

The AI examples discussed focussed on interactions with the vehicle, but combined with connectivity and third-party application stores, the possible applications of the AI assistant are unbounded. A basic application of this is scheduling car servicing. When the vehicle gets close to its service interval, the AI assistant can access the dealership’s service center availability, then offer the driver available slots to get their vehicle service, let them know the cost of different packages, and even schedule and pay for the appointment. 

In-vehicle payment will be another game-changing technology for the car market. These systems can use biometric security, powered by the in-cabin infrared and regular cameras, to authorize payments. IDTechEx saw a live demonstration of this at CES 2024. In one of the demonstration booths, an exhibitor pressed to make a purchase on a mock-up infotainment system; the camera showed their face for verification, and then the bank transaction could be seen on a separate screen. This wasn’t a faked example or charade, but real money moving between accounts, processed by what would be a car.

The example IDTechEx saw at CES was demonstrating how a user could pay for an upgrade to access additional functionality, the feature-as-a-service model. This currently exists with companies like Tesla, BMW, and others fitting hardware to their vehicles with its full functionality locked behind a paywall. Currently, the driver needs to pay to access these features through a smartphone app or online. With AI assistants, connectivity, and in-car payments, the game changes. A driver could say “I’m cold” and the AI assistant could recommend subscribing to a package which includes heated seats. Connectivity and AI payments, then complete the purchase. This is how AI, connectivity, software-defined vehicles, features-as-a-service, and in-car payments all come together to generate hundreds of dollars worth of new revenue per vehicle in 2034.

IDTechEx’s “Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts” report goes into more detail about the US$1.6 trillion opportunity associated with emerging automotive technologies. Additionally, IDTechEx’s report “Connected and Software-Defined Vehicles 2024-2034: Markets, Forecasts, Technologies” provides a deep dive into the US$700 billion opportunity associated with the applications of connectivity and AI assistants described here. IDTechEx’s subscription platform also provides a plethora of regularly updated content across many technologies, including multiple premium article summaries and company profiles from the recent CES 2024 event.

About IDTechEx

IDTechEx guides your strategic business decisions through its Research, Subscription and Consultancy products, helping you profit from emerging technologies. For more information, contact research@IDTechEx.com or visit www.IDTechEx.com.

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press@IDTechEx.com
+44(0)1223 812300

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U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs

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WASHINGTON, July 23, 2026 /PRNewswire/ — The Quartz Manufacturers Alliance for America (QMAA) released a powerful video featuring quartz manufacturing workers from across the country calling for free and fair trade policies to save 100,000 American jobs. QMAA, a coalition of leading U.S.-based quartz slab manufacturers, are calling for strong safeguard remedies after the U.S. International Trade Commission (ITC) found a huge flood of foreign imports had caused tremendous injury to the domestic quartz industry.

QMAA members are urging the Trump Administration to build on the ITC’s strong recommendation and address this major flood of quartz imports with a Tariff of 50% and a Reshoring Import Cap of 141 million square feet on imported quartz surface products. This will ensure a reshoring of the good-paying U.S. quartz manufacturing jobs stolen by companies who cheat U.S. trade law, distort competition and are decimating U.S. quartz manufacturing. Together, these trade remedies will provide the relief necessary to save the 100,000 jobs supported by the U.S. quartz industry.

The video features workers from LX Hausys, Guidoni USA and Cambria Company and is available here:
Save 100,000 American Quartz Jobs

Quotes from QMAA Quartz Manufacturing Workers
“This facility used to be a Husqvarna plant. Husqvarna closed down due to cheap foreign imports. There were over 1,000 people working here and all of a sudden…I’m worried I may see the same thing take place again.”
-Raymond Mack, Production Operator, Guidoni USA, Helena-McRae, GA

“Foreign countries, mainly China, Thailand, Malaysia, Vietnam, Indonesia, have been circumventing and cheating the American market. We believe in the industry. We believe in the American working power. We just want to level the playing field, make it fair for everyone and everyone will benefit.”
– Daniel Vas de Melo SA, Business Development Manager, Guidoni USA, McRae-Helena, GA

“In order for us to continue to compete, we need a strong Tariff and Import Cap on imported quartz surfaces. That will ensure we can play on an even playing field. That’s all we’re asking for. I would hate to see cheap, imported quartz have a negative impact on families such as mine and the other families that we employ here.”
– Mike Morici, Vice President – LX Hausys, Adairsville, GA

“The surge of foreign imports has shocked the U.S. economy, and the market for surfaces. It’s taken prices down to unsustainably low levels for any domestic supplier. The result of that is we’re not producing as much as we should, we can’t hire as many people as we would like to, and we can’t grow our business in the way that we and our peers in the U.S. want to grow.”
– Andrew Eich, President and Chief Operating Officer, Cambria

“As these foreign imports flood the market, we lose the ability to create and sustain jobs that ensure good paying conditions for manufacturing workers. There will be over 100,000 jobs that have the strong potential to go away.”
– Jack Sundry, SVP Core and Lexus – Cambria, Southern Minnesota

Background
In September 2025, QMAA filed a Global Safeguard petition with the U.S. International Trade Commission (ITC) under Section 201 of the U.S. Trade Act of 1974. The ITC’s thorough investigation found serious injury to the domestic industry caused by a massive import surge designed to undercut American businesses. Quartz imports have surged by 78.3% within the past five years, leading to a nearly 20% decline in domestic production, factory closures and major job reductions.

A final safeguard decision from the United States Trade Representative is expected by Aug. 1, 2026.

About the Quartz Manufacturing Alliance for America:
QMAA is a coalition of U.S.-based, American quartz slab manufacturing factories, united with other industry leaders to support and strengthen the American quartz industry. QMAA is committed to ensuring a free and fair, competitive marketplace born of free enterprise that provides the opportunity to compete on a level playing field for American quartz slab manufacturing factories and their valued workers. We also believe this effort will have a positive impact throughout the entire quartz surfacing industry, including to the strong benefit of American stone fabrication shops and upstream suppliers of quartz minerals and resin. Learn more at: https://www.qmaa.org/

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SOURCE Quartz Manufacturing Alliance of America

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Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI

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Databricks and Microsoft extend strategic partnership through the 2030s to scale enterprise AIDatabricks deepens its bet on Azure, growing its use of Azure Databricks to run its own core business operations and analytics, while both companies advance native integration across the Microsoft stack, including Databricks Genie and Microsoft 365Databricks increases its use of Microsoft Azure Cobalt to improve performance and efficiency

REDMOND, Wash. and SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s. Databricks will deepen its use of Azure Databricks to run core business operations and build its unified lakehouse, while leveraging Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency. Microsoft will also continue integrating Databricks Data and AI platform across its products, bringing capabilities like Genie, Databricks’ AI co-worker, directly into customer workflows. Together, the companies are helping enterprises build AI grounded in their own business context with the cost efficiency, control and choice needed to scale successfully.

Enterprises want AI that understands their customers, products, operations, metrics and business processes, all while running securely where work happens. Yet, most still struggle to connect AI to trusted business knowledge, govern models and agents consistently, and control costs. Microsoft and Databricks are helping customers close that gap: 

“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, Co‑Founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”

“The next generation of AI will be defined by how effectively organizations turn their unique knowledge into intelligence,” said Judson Althoff, CEO, Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”

Databricks runs core business operations on Azure Databricks 

As part of this latest deal, Databricks deepens its commitment to Azure, running its own core business operations and analytics on Azure Databricks, using the very platform it delivers to customers at scale.

Advancing performance with Azure Cobalt

Databricks will also expand its use of Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency for agentic and data-intensive workloads. Databricks currently uses Cobalt 100 and plans to adopt Cobalt 200, which delivers up to 50% better performance and includes memory encryption enabled by default.

Deep integrations for Databricks Genie and Unity AI Gateway with Microsoft product stack

By combining the Databricks Data + AI Platform with Azure’s global scale, customers can accelerate AI transformation while maintaining control and reliability. As a native Azure service, Azure Databricks makes its AI capabilities available directly within customers’ existing Microsoft environment, grounding and operating agents on enterprise data with Genie and Genie Ontology, and governing models, agents and cost through Unity AI Gateway. Deeply integrated across the Microsoft ecosystem spanning Microsoft Entra, Azure Data Lake Storage, Azure security, Microsoft OneLake, Power BI, Microsoft Purview, Microsoft Foundry, Power Platform, Microsoft 365, Teams and Copilot, these capabilities bring governed, real-time data and AI into business workflows, giving organizations the context, control, choice and cost efficiency needed to drive impact.

Continued investment is evident from our recent announcements with Databricks at Data + AI Summit in June.

Customer impact with Azure Databricks

The deepened collaboration strengthens support for joint customers running data, analytics and AI workloads on Azure Databricks, delivering improved performance, security, AI governance and enterprise readiness. Thousands of customers, including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever, already use Azure Databricks to run critical workloads and scale AI with confidence.

Read more on the proven business value of the Databricks and Microsoft partnership on the Microsoft Azure blog.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including AT&T, Bayer, BMW Group, HSBC, T-Mobile, Unilever, and 70% of the Fortune 500 — rely on Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

 

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SOURCE Microsoft Corp.

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Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security

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Joint solution extends proven API gateway security to the AI era — with automated AI discovery and runtime AI protection

SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, and Kong Inc., a leading developer of API and AI connectivity technologies, today announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments.

According to The State of AI-Native Application Security 2025 report, as enterprises race to deploy AI at scale, 62% have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk — making embedded, infrastructure-level security more critical than ever. And companies are now deploying agents into their operations at an exponentially increasing rate, making it a necessity to protect the agents themselves and the systems interacting with those agents.

The two companies are extending their joint solution from Kong API Gateway to also include Kong AI Gateway, bringing Harness’s AI security intelligence directly into the AI infrastructure layer and enabling enterprises to discover, monitor, and protect every agent, AI asset, LLM-powered service, and MCP-connected workflow that traverses it.

A Proven Foundation: Harness and Kong API Gateway

Harness and Kong have been jointly trusted by enterprises to deliver best-in-class API security for years. The existing Harness and Kong API Gateway integration provides:

Comprehensive API traffic visibility and behavioral analysis across all Kong-managed servicesReal-time detection and blocking of API threats, including OWASP API Security Top 10 risks, credential stuffing attacks, and business logic abuseContinuous sensitive data tracking to identify PII exposure and regulatory riskZero-friction deployment alongside existing Kong configurations

This new offering of the AI Gateway solution applies the same level of security depth to AI infrastructure, ensuring that security teams are not left behind as their organizations adopt AI and agentic operations.

“Our partnership with Harness has given joint customers production-grade API security that works with the way they build, not against it,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “Extending to include Kong AI Gateway is a natural next step. The same enterprises are now moving AI into production through our gateway and need the same depth of visibility and control they’ve come to rely on for their APIs for all AI traffic types including LLM, MCP, and A2A. That’s exactly what this delivers and is crucial for organizations scaling in the agentic era.”

The New Frontier: Kong AI Gateway and Harness AI Security

As enterprises accelerate AI adoption, the attack surface has fundamentally shifted. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not designed to address. Unlike traditional software, AI agents are non-deterministic — the same agent can behave differently on consecutive runs, making it impossible to secure them the way you’d secure a static API. The new Harness and Kong AI Gateway integration directly tackles these challenges across two critical domains: AI discovery and AI protection.

AI Discovery
Harness automatically inventories every AI asset, API, MCP server, tool, prompt, and resource routed through Kong AI Gateway — providing security teams with a continuously updated catalog of their AI attack surface. No manual documentation. No blind spots.

AI Protection
Harness applies behavioral analysis and anomaly detection to AI traffic in real time, identifying prompt injection attacks, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI-specific threats. Enterprises gain the same depth of observability and protection for their agents and AI workloads that they already rely on for traditional APIs, with full prompt and response details available for incident investigation and inline policy enforcement through Kong AI Gateway.

“Shadow AI has become the defining security blind spot for enterprises today. Traditional tools were built for static code and predictable systems, not for adaptive AI models, agent-to-agent communication, and MCP-connected workflows that evolve continuously,” said Rahul Sood, GM of Application Security at Harness. “This integration of Harness AI Security with Kong puts security intelligence directly into the connectivity layer where AI traffic flows. Joint customers now have the visibility and control they need to move fast without losing sight of what’s happening across their AI infrastructure.”

Availability

The Harness and Kong API Gateway integration is generally available today for all joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now. Joint customers can contact their account team or request a demo.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

About Kong

Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

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SOURCE Harness

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