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The successor to Nintendo's massively popular console appears to have bolted out of the gate.

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Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least $1 million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle.(Image source: Unsplash)

There has been a new update to the ongoing Stratasys v. Bambu Lab patent infringement lawsuit.  Both parties have agreed to consolidate the lead and member cases (2:24-CV-00644-JRG and 2:24-CV-00645-JRG) into a single case under Case No. 2:25-cv-00465-JRG.  Industrial 3D printing OEM Stratasys filed the request late last month. According to an official court document, Shenzhen-based Bambu Lab did not oppose the motion. Stratasys argued that this non-opposition amounted to the defendants waiving their right to challenge the request under U.S. patent law 35 U.S.C. § 299(a). On June 2, the U.S. District Court for the Eastern District of Texas, Marshall Division, ordered Bambu Lab to confirm in writing whether it agreed to the proposed case consolidation. The court took this step out of an “abundance of caution” to ensure both parties consented to the procedure before moving forward. Bambu Lab submitted its response on June 12, agreeing to the consolidation. The company, along with co-defendants Shenzhen Tuozhu Technology Co., Ltd., Shanghai Lunkuo Technology Co., Ltd., and Tuozhu Technology Limited, waived its rights under 35 U.S.C. § 299(a). The court will now decide whether to merge the cases. This followed U.S. District Judge Rodney Gilstrap’s decision last month to deny Bambu Lab’s motion to dismiss the lawsuits.  The Chinese desktop 3D printer manufacturer filed the motion in February 2025, arguing the cases were invalid because its US-based subsidiary, Bambu Lab USA, was not named in the original litigation. However, it agreed that the lawsuit could continue in the Austin division of the Western District of Texas, where a parallel case was filed last year.  Judge Gilstrap denied the motion, ruling that the cases properly target the named defendants. He concluded that Bambu Lab USA isn’t essential to the dispute, and that any misnaming should be addressed in summary judgment, not dismissal.        A Stratasys Fortus 450mc (left) and a Bambu Lab X1C (right). Image by 3D Printing industry. Another twist in the Stratasys v. Bambu Lab lawsuit  Stratasys filed the two lawsuits against Bambu Lab in the Eastern District of Texas, Marshall Division, in August 2024. The company claims that Bambu Lab’s X1C, X1E, P1S, P1P, A1, and A1 mini 3D printers violate ten of its patents. These patents cover common 3D printing features, including purge towers, heated build plates, tool head force detection, and networking capabilities. Stratasys has requested a jury trial. It is seeking a ruling that Bambu Lab infringed its patents, along with financial damages and an injunction to stop Bambu from selling the allegedly infringing 3D printers. Last October, Stratasys dropped charges against two of the originally named defendants in the dispute. Court documents showed that Beijing Tiertime Technology Co., Ltd. and Beijing Yinhua Laser Rapid Prototyping and Mould Technology Co., Ltd were removed. Both defendants represent the company Tiertime, China’s first 3D printer manufacturer. The District Court accepted the dismissal, with all claims dropped without prejudice. It’s unclear why Stratasys named Beijing-based Tiertime as a defendant in the first place, given the lack of an obvious connection to Bambu Lab.  Tiertime and Stratasys have a history of legal disputes over patent issues. In 2013, Stratasys sued Afinia, Tiertime’s U.S. distributor and partner, for patent infringement. Afinia responded by suing uCRobotics, the Chinese distributor of MakerBot 3D printers, also alleging patent violations. Stratasys acquired MakerBot in June 2013. The company later merged with Ultimaker in 2022. In February 2025, Bambu Lab filed a motion to dismiss the original lawsuits. The company argued that Stratasys’ claims, focused on the sale, importation, and distribution of 3D printers in the United States, do not apply to the Shenzhen-based parent company. Bambu Lab contended that the allegations concern its American subsidiary, Bambu Lab USA, which was not named in the complaint filed in the Eastern District of Texas. Bambu Lab filed a motion to dismiss, claiming the case is invalid under Federal Rule of Civil Procedure 19. It argued that any party considered a “primary participant” in the allegations must be included as a defendant.    The court denied the motion on May 29, 2025. In the ruling, Judge Gilstrap explained that Stratasys’ allegations focus on the actions of the named defendants, not Bambu Lab USA. As a result, the official court document called Bambu Lab’s argument “unavailing.” Additionally, the Judge stated that, since Bambu Lab USA and Bambu Lab are both owned by Shenzhen Tuozhu, “the interest of these two entities align,” meaning the original cases are valid.   In the official court document, Judge Gilstrap emphasized that Stratasys can win or lose the lawsuits based solely on the actions of the current defendants, regardless of Bambu Lab USA’s involvement. He added that any potential risk to Bambu Lab USA’s business is too vague or hypothetical to justify making it a required party. Finally, the court noted that even if Stratasys named the wrong defendant, this does not justify dismissal under Rule 12(b)(7). Instead, the judge stated it would be more appropriate for the defendants to raise that argument in a motion for summary judgment. The Bambu Lab X1C 3D printer. Image via Bambu Lab. 3D printing patent battles  The 3D printing industry has seen its fair share of patent infringement disputes over recent months. In May 2025, 3D printer hotend developer Slice Engineering reached an agreement with Creality over a patent non-infringement lawsuit.  The Chinese 3D printer OEM filed the lawsuit in July 2024 in the U.S. District Court for the Northern District of Florida, Gainesville Division. The company claimed that Slice Engineering had falsely accused it of infringing two hotend patents, U.S. Patent Nos. 10,875,244 and 11,660,810. These cover mechanical and thermal features of Slice’s Mosquito 3D printer hotend. Creality requested a jury trial and sought a ruling confirming it had not infringed either patent. Court documents show that Slice Engineering filed a countersuit in December 2024. The Gainesville-based company maintained that Creaility “has infringed and continues to infringe” on both patents. In the filing, the company also denied allegations that it had harassed Creality’s partners, distributors, and customers, and claimed that Creality had refused to negotiate a resolution.   The Creality v. Slice Engineering lawsuit has since been dropped following a mutual resolution. Court documents show that both parties have permanently dismissed all claims and counterclaims, agreeing to cover their own legal fees and costs.  In other news, large-format resin 3D printer manufacturer Intrepid Automation sued 3D Systems over alleged patent infringement. The lawsuit, filed in February 2025, accused 3D Systems of using patented technology in its PSLA 270 industrial resin 3D printer. The filing called the PSLA 270 a “blatant knock off” of Intrepid’s DLP multi-projection “Range” 3D printer.   San Diego-based Intrepid Automation called this alleged infringement the “latest chapter of 3DS’s brazen, anticompetitive scheme to drive a smaller competitor with more advanced technology out of the marketplace.” The lawsuit also accused 3D Systems of corporate espionage, claiming one of its employees stole confidential trade secrets that were later used to develop the PSLA 270 printer. 3D Systems denied the allegations and filed a motion to dismiss the case. The company called the lawsuit “a desperate attempt” by Intrepid to distract from its own alleged theft of 3D Systems’ trade secrets. Who won the 2024 3D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletter to keep up with the latest 3D printing news.You can also follow us on LinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content.Featured image shows a Stratasys Fortus 450mc (left) and a Bambu Lab X1C (right). Image by 3D Printing industry.

In this episode of the fxpodcast, we go behind the scenes with The-Artery, the New York-based creative studio that brought this ambitious vision to life. We speak with Founder and CCO Vico Sharabani, along with Elad Offer, the project’s Creative Director, about what it took to craft this unprecedented experience. From conceptual direction to VFX and design, The-Artery was responsible for the full production pipeline of the AVP edition. Bono’s memoir Surrender: 40 Songs, One Story has taken on new life—this time as a groundbreaking immersive cinematic experience tailored specifically for the Apple Vision Pro. Titled Bono: Stories of Surrender (Immersive), the project transforms his personal journey of love, loss, and legacy into a first-of-its-kind Apple Immersive Video. The-Artery, (R) Founder Vico Sharabani during post-production. This is far more than a stereo conversion of a traditional film. Designed natively for the Apple Vision Pro, Bono: Stories of Surrender (Immersive) places viewers directly on stage with Bono, surrounding them in a deeply intimate audiovisual journey. Shot and mastered at a staggering 14K by 7K resolution, in 180-degree stereoscopic video at 90 frames per second, the format pushes the limits of current storytelling, running at data rates nearly 50 times higher than conventional content. The immersive trailer itself diverges significantly from its traditional counterpart, using novel cinematic language, spatial cues, and temporal transitions unique to Apple’s new medium. This marks the first feature-length film available in Apple Immersive Video, and a powerful statement on Bono’s and U2’s continued embrace of innovation. Watch the video or listen to the audio podcast as we unpack the creative and technical challenges of building a film for a platform that didn’t exist just a year ago, and what it means for the future of immersive storytelling.