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The anti-iPad-ification of Google’s Android tablets

If you’ve been following Android for long, you’re probably familiar with two seemingly at-odds realities about the role Google’s platform plays in the greater tech universe:

  1. Android has been the dominant mobile operating system (and all-around computing operating system) for ages now, thanks to its prominent and diverse presence on the phone side of things.
  2. At the same time, Android has long struggled to gain any meaningful foothold on the tablet end of the equation — with an endless-seeming array of about-faces and puzzling pivots in that area.

Plain and simple, while Android phones have always had their own distinctive identity and appeal, Android tablets have flipped and flopped more times than an inebriated penguin on ice skates. And between their lack of any consistent identity and the on-off nature of their development in general, that’s allowed Apple’s iPad to become the firmly entrenched de facto standard for slate-shaped devices while Android tablets have remained a relative afterthought, in comparison.

Now, though, it looks like Google may be ready to change that narrative — and change the very way we think about Android tablets and the role they play in our lives.

And there’s more than a passing connection to Apple’s own wildly successful tablet philosophy, as we’ll explore more thoroughly in a moment.

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Google’s Android tablet (re)reinvention

This latest pivot — yes, technically another one! — comes by way of a quietly published post on Google’s Android Developers Blog just ahead of last weekend.

The post announces a new developer preview of an unassuming-seeming feature called “desktop windowing on Android tablets.”

As El Googenthaal puts it:

Desktop windowing allows users to run multiple apps simultaneously and resize app windows, offering a more flexible and desktop-like experience. This, along with a refreshed System UI and new APIs, allows users to be even more productive and creates a more seamless, desktop-like experience on tablets.

Intriguing, no? I thought so. And then I started actually playing around with the under-development system on my own personal Pixel Tablet, and I quickly realized just how big of a deal this could actually be.

Translated into plain English, the system lets you easily take any app you’re seeing on an Android tablet and shrink it down into a resizable window — just like you’d do on a desktop computer.

Google Android tablet windowed apps
A desktop-like canvas on Android, with Google’s new windowed apps system for tablets.

JR Raphael, IDG

That means in addition to the phone-like ability to split the screen in half and view two apps at the same time, you can open up numerous apps and arrange ’em in any way you like — side by side, tiled, overlapping, you name it — with any number of apps visible at any given moment and windows taking up any size your precious heart desires.

It gives you a completely flexible canvas, in other words, and transforms the Android tablet from a mostly consumption-oriented gadget into a computer-like productivity machine. (Samsung, notably, has offered a similar option on its Android devices for some time now. But having such a system present at the actual Android platform level introduces a whole other level of seamless integration, universal compatibility, and all-around prominence — along with a more consistent experience when it comes to actual app interactions, given the operating-system-level connections.)

And even in its early, still-rough-around-the-edges shape, I can’t help but be blown away by just how significant of a change this seemingly small twist could shape up to be.

The ins and outs of Google’s Android tablet app windows

For context, with the new Android tablet desktop windowing setup — which is currently accessible (a) only on Google’s Pixel Tablet, (b) only if you opt the device in to the latest Android 15 beta update, and (c) only if you enable its developer settings and then find and flip the switch to a specific related setting — every app gains a new thin bar at the top-center of the screen.

When you want to move from the standard Android interface into the new windowed mode, you simply swipe down on that bar. And you can then place the app wherever you want and continue to move and resize it from there.

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Shifting Android apps into flexible windows is as easy as swiping down once, then moving and resizing as needed.

JR Raphael, IDG

A few other interesting touches come into play once you’re in that Android tablet windowed mode:

  • A taskbar, similar to the one that can already be summoned on any large-sized Android device, appears in a permanent position at the bottom of the screen — providing an extremely desktop-reminiscent setup, with easy anytime access to your currently opened apps along with any pinned apps and your entire Android app drawer.
  • Each individual window gains its own title bar area, which contains an “x” for closing the window as well as an icon for maximizing the window and a dropdown for snapping the window into a series of standard sizes and positions.
  • And anytime you want to exit the windowed mode and go back to the standard Android interface, you can drag any window to the top of the screen to make that transition.
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Pushing any Android app back to the top of a tablet’s screen is all it takes to exit the new windowed-apps mode.

JR Raphael, IDG

As for the broader implications, three points in particular jump out at me based on my time with the setup so far — the second of which ties into that tantalizing Apple connection at the start of this story:

1. The Android windowed tablet interface feels a lot like ChromeOS

As anyone who’s spent much time with Google’s other primary platform is likely to notice, this setup bears more than a passing resemblance to the main ChromeOS interface present on the company’s many Chromebook computers.

That’s true from the taskbar to the overall interface styling and also the ability to move an Android app between its phone-like state and a more large-screen-optimized interface simply by changing the width of its window.

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Just like on ChromeOS, you can move between an Android app’s phone-style interface and its more desktop-like presentation simply by changing the app’s size.

JR Raphael, IDG

When Google first restarted its Android tablet strategy two years ago — just a few years after officially announcing it was done with focusing on tablet development entirely, in 2019 — I raised the question of how Android tablets and Chromebooks could coexist and make sense together without awkwardly overlapping and stepping on each others’ toes.

Early on, after all, the line between the two device types was easy to understand: Android was for smartphones, while ChromeOS was for laptops, desktops, and the most optimal Android-app-supporting tablet experience.

Once Google made it clear it intended to resurrect the native Android tablet as a prominent option, the narrative got much more muddled. But Google had an answer: When I asked for clarification in 2022, the company told me the difference ultimately came down to how you intended to use the product.

Go, go, gadget self-quoting machine:

In short, Android tablets are intended for “productive mobility” — with content consumption being the top priority and a bit of more complex productivity being an occasional add-on.

Chromebook tablets, on the other hand, are the exact opposite: They’re intended for “mobile productivity,” with the active work being the primary purpose and the more passive consumption being a pleasant side perk.

Now, it seems like Google’s working to rethink that narrative and make Android tablets about active productivity, too. So where does that leave Chromebooks — and how will any regular person figure out the differences between the two approaches and which type of device is most suitable for any given purpose?

That’s a question I’m not entirely convinced anyone is ready or able to answer.

2. This Android tablet expansion seems like a very deliberate response to the iPad’s shortcomings

While Apple may well wear the crown of the all-around tablet champion, one thing I’ve consistently heard from even the most enthusiastic Apple fanatics is that iPads are being held back by Apple’s intentionally limiting software.

In short, folks on the Apple side of the Great Tech Divide are hungry for a more powerful framework that brings desktop-like computing capabilities onto their otherwise capable devices.

Federico Viticci of MacStories assembled an impressively thorough list of such desires earlier this year, ranging from a fix for the iPad’s surprisingly rudimentary file management capabilities to an improvement for its “fractured mess” of multitasking shortfalls:

iPadOS’s multitasking … could be so much more. I think several iPad users (and I was guilty of this, too) have convinced themselves due to Apple’s pace of updates that we’ve reached the peak of what tablet multitasking should do with Split View and Stage Manager. But look outside Apple’s stance on iPadOS, and you see that is not the case. Once again, I’m not arguing for macOS features on the iPad; I’m saying that, if Apple wanted to, it could design innovative, high-performance, delightful tablet-first multitasking systems. Sadly, iPad multitasking tells a very different story.

Six Colors founder (and frequent Computerworld sister site Macworld contributor) Jason Snell has shared similar sentiments around the iPad’s productivity boundaries:

Professionals multitask. Professional tools should, too. This is an area where the iPad Pro fails its users. …

I have such an affinity for my iPad that I have wanted to integrate it into as much of my life as possible. And for an increasing number of tasks, I can. But for many others, I am eternally bumping up against the severe limitations of the platform.

At the risk of giving Google too much credit, it certainly feels like this Android tablet expansion is a direct reaction to the void Apple’s creating with those decisions. It positions the Android tablet as the anti-iPad, in a sense — the productivity-forward powerhouse of a gadget Apple refuses to offer. You want a tablet that can actually act like a computer and give you a desktop-caliber environment for going beyond passive consumption and genuinely getting stuff done? The iPad’s not gonna give it to ya, pal. But hey, we can.

Now, realistically, are throngs of Apple diehards suddenly gonna drop everything and abandon the ecosystem they’re so heavily invested in to pick up an Android tablet? That’s highly unlikely. But if Google can make some noise and win over even some segment of iPad owners — along with professionals who don’t presently rely on tablets for productivity — while simultaneously convincing Android phone owners to stay in its ecosystem and grab an Android tablet for their needs, well, that’d be a pretty significant victory to be able to claim.

And, perhaps just as important, it’d allow Android tablets to carve out a niche of their own beyond just being “iPads, but with Android” — something Google started to do on another front, with its attempt to frame the Pixel Tablet as a souped-up Smart Display last year, but never fully realized due to the ineffective implementation of that admirable-seeing idea.

(And anyway, the productivity angle is a far more powerful point of differentiation to be able to claim — given the door it cracks open into the lucrative and potential-packed world of business computing.)

3. Beyond just tablets, this type of concept could become very interesting for foldable phones, too

The timing of this launch is especially intriguing to me right now because I’m in the midst of spending some quality time getting to know Google’s latest foldable Android device — the awkwardly named but otherwise delightful Pixel 9 Pro Fold.

And as soon as I saw the news about the Android tablet windowing development, I couldn’t help but think: “Oooh. This could have huge implications here.”

Consider:

  • Google’s exerting a ton of effort to frame the Pixel 9 Pro Fold as being a best-of-both-worlds, business-ready phone and full-sized 8″ tablet in your pocket.
  • The main benefit of the Fold is the fact that you can use it like a regular phone most of the time but then pop it open at a second’s notice to unfold some serious productivity power — with the ability to view and even interact with two full-sized apps on-screen at the same time.
  • As I put it previously, this “strips away many of the standard limitations of using a phone-sized device and gives you a more desktop-like computing experience — which, suffice it to say, can be a massive asset when it comes to work-oriented, productivity-centric tasks.”

If a folding Android phone is essentially meant to bring a tablet-like experience into the palm of your hand on demand, then wouldn’t it make sense for this new Android tablet advantage to also be available within that environment?

It builds upon the same basic productivity-minded perks already present on a phone like this latest folding Pixel — with the more desktop-like experience and all the tools for being able to effectively work across different apps and processes without being limited to a simple 1:1 screen-split scenario.

Heck, it even involves the same exact exceptional taskbar already built into that fully unfolded part of the Pixel 9 Pro Fold’s interface:

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Google’s new Android taskbar, as seen in the inner “tablet” mode of a Pixel 9 Pro Fold phone.

JR Raphael, IDG

All in all, it feels like a no-brainer and like something Google would be crazy not to introduce into that type of device once the testing period is over and the feature actually launches. And that introduction would take a promising type of new mobile technology and make it even more powerful for that same business-minded, productivity-seeking sort of buyer.

Make no mistake about it: From tablets themselves to the foldables around ’em, there’s much more to this move than what we see on the surface. And even in its earliest form, the feature feels like a complete reinvention of the associated devices and what they’re able to accomplish.

If Google manages to implement and then market this effectively — a big “if,” admittedly, given the company’s past slip-ups and notoriously short attention span — this could be huge.

Watch this space.

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Sam Altman exits OpenAI commission for AI safety to create ‘independent’ oversight

OpenAI’s CEO Sam Altman has stepped away from his role as co-director of an internal commission the company created in May to oversee key safety and security decisions related to OpenAI’s artificial intelligence (AI) model development and deployment.

OpenAI’s Safety and Security Committee will become “an independent board oversight committee focused on safety and security” led by its new chair, Zico Kolter, director of the machine learning department of Carnegie Mellon University’s School of Computer Science, the company revealed in a blog post Monday. Kolter replaces the committee’s former chair, Bret Taylor, who also has departed.

Other members of the committee, which is chiefly aimed at overseeing the safety and security processes guiding OpenAI’s model development and deployment, remain: Adam D’Angelo, Quora co-founder and CEO; retired US Army General Paul Nakasone; and Nicole Seligman, former EVP and general counsel at Sony Corporation.

It was this committee, under Kolter’s leadership, that reviewed the safety and security criteria that OpenAI used to assess the “fitness” of OpenAI o1 for launch, as well as the results of safety evaluations for the model, according to the post. OpenAI o1 is the company’s latest family of large language models (LLMs) and introduces advanced reasoning that the company said exceeds that of human PhDs on a benchmark of physics, chemistry, and biology problems, and even ranks highly in math and coding.

More transparency, collaboration and monitoring on tap

OpenAI shared recommendations for the committee’s mission going forward: to establish independent governance for AI safety and security; enhance security measures; foster transparency about OpenAI’s work; collaborate with external organizations; and unify the company’s safety frameworks for model development and monitoring.

“We’re committed to continuously improving our approach to releasing highly capable and safe models, and value the crucial role the Safety and Security Committee will play in shaping OpenAI’s future,” said the post.

Indeed, AI safety, and OpenAI’s management of it in particular, is something that has become of great concern to various industry stakeholders and lawmakers.

Altman became a controversial figure soon after forming OpenAI, and his abrupt ousting from and subsequent return to the company late last year, and the behind-the-scenes deal making and shake-ups that occurred in the aftermath quickly led to infamy for the CEO, who has become a public face of AI.

Highlights in that journey included OpenAI securing a $13 billion investment from Microsoft, which uses OpenAI technology for its generative AI tool, Copilot, and breaking ideologically from Tesla’s Elon Musk, a controversial figure in his own right, who was one of OpenAI’s founding board members and investors. Musk ultimately sued OpenAI and Altman for breaching its founding mission.

The safety of OpenAI’s technology also has been called into question under Altman, after reports surfaced that the company allegedly used illegal non-disclosure agreements and required employees to reveal whether they had been in contact with authorities, as a way for it to cover up any security issues related to AI development.

Effect of the move as yet unknown

It remains to be seen what, if any, impact Altman’s stepping back from OpenAI’s safety board will have on AI governance, which is still in its infancy, noted Abhishek Sengupta, practice director at Everest Group.

However, it appears to be a sign that the company recognizes “the importance of neutrality in AI governance efforts,” and could be willing to be more open about how it is managing AI security and safety risks, he told Computerworld.

“While the need to innovate fast has strained governance for AI, increasing government scrutiny and the risk of public blowback is gradually bringing it back into focus,” Sengupta said. “It is likely that we will increasingly see independent third parties involved in AI governance and audit.”

AI to create better products and services, add $19.9T to global economy — IDC

Business spending to adopt and use AI in existing operations, and to deliver better products and services, is expected to drive 3.5% of global GDP by 2030, adding $19.9 trillion to the world economy, according to a new report from research firm IDC.

AI spending by businesses alone is expected to reach $632 billion by 2028, IDC had estimated in an earlier study.

As a result, AI will affect jobs across every region of the world, affecting industries from contact center operations to translation, accounting, and machinery inspection, according to IDC. Helping to trigger this shift are business leaders, 98% of whom view AI as a priority for their organizations.

David Foote, chief analyst and research officer with IT research firm Foote Partners, believes that 20% to 25% of tech jobs could eventually be taken by AI. “There have been a lot of layoffs,” he said. “Companies are identifying people who may have been solid workers in the past, but they don’t fit into the new world driven by the [emerging] economy and the technology they’re making bets on.”

While AI will reduce or eliminate the need for human input in some areas, it will also enhance productivity, requiring professionals to reskill and adapt to take on more strategic and creative roles, according to a research note by Foote. Along those lines, Goldman Sachs has projected that as many as 29% of computer-related job tasks could be automated by AI, as well as 28% of work by healthcare practitioners and technical tasks in that field. Careers with the highest exposure to AI automation are administrative positions (46%) and tasks in legal (44%) professions.

Nearly half of respondents to IDC’s Future of Work Employees Survey (48%) expect some parts of their work to be automated by AI and other tech over the next two years — and another 15% think most of their jobs will be automated. Only 3% expect their jobs to be fully automated.

Despite that disruption, however, AI will have a “net positive global economic impact,” according to the latest IDC report. In 2030, every new dollar spent on business-related AI solutions and services will generate $4.60 in the global economy in terms of indirect and induced effects.

Those impacts include:

  • Increased spending on AI solutions and services driven by accelerated AI adoption;
  • Economic stimulus among AI adopters, seeing benefits in terms of increased production and new revenue streams;
  • And an increase in revenue across the AI providers supply chain including services providers.

“In 2024, AI entered a phase of accelerated development and deployment defined by widespread integration that’s led to a surge in enterprise investments aimed at significantly optimizing operational costs and timelines,” said Lapo Fioretti, an IDC senior research analyst. “By automating routine tasks and unlocking new efficiencies, AI will have profound economic consequences, reshaping industries, creating new markets, and altering the competitive landscape.”

New job roles to emerge

survey of CFOs in June by Duke University and the Atlanta and Richmond Federal Reserve banks found that 32% of organizations plan to use AI in the next year to complete tasks once done by humans. And in the first six months of 2024, nearly 60% of companies (and 84% of large companies) said they had deployed software, equipment, or technology to automate tasks previously done by employees\.

While some work is being negatively affected by the rapid proliferation of AI tools and platforms, new positions such as AI ethics specialists and AI prompt engineers will emerge as dedicated roles within global organizations.

IDC’s research also indicates that positions where human social and emotional capabilities are critical, such as nursing and roles where decision-making encompasses ethics and comprehension beyond numbers, will remain robust. “Understandably, we’re all curious to know if AI will replace our jobs,” said Rick Villars, IDC group vice president, for worldwide research.

As one CEO told IDC researchers, “Based on this research it’s clear that we should be asking ourselves how our jobs can be made easier and better by AI. AI will not replace your job but someone who knows how to use AI better than you will,” Villars added.

How Apple’s quiet visionOS update hints at its plans

Has Apple’s love affair with AR cooled? Not on your life, and while it is true that visionOS didn’t get much time during the company’s big reveals at WWDC and last week’s iPhone launch, the company has delivered a handful of valuable improvements to the OS — hinting at future product plans as it did.

Perhaps you missed the hint, but what was interesting about the update wasn’t what’s new as much as what isn’t new, particularly the lack of support for Apple Intelligence. You could argue that this is only because the AI isn’t quite ready yet, but I can’t help but see its absence as a hint of what’s to come.

It’s always useful to cast about for a morsel of what Apple has actually said to support the theory. So, what has the company said? It’s already told us it’s working on a version of Siri with more contextual intelligence it hopes to ship in 2025.

That AI will be able to make contextual generative AI (genAI)-driven decisions in reaction to what it sees you interacting with on your iPhone, iPad, or Mac. Imagine what it will do if used with Vision Pro as it also looks around where you really are. If I’m right about this direction, it’s possible we’ll see visionOS equipped with a profoundly powerful contextual intelligence perhaps toward the end of next year

The Gift of Sound & Vision

Did I call this profound? Think about it: contextual intelligence is essential for an effective/responsive voice-driven interface at the intersection of technology and the everyday world. What you are looking at will change depending on your context, and the data your device surfaces will reflect the complexity of such complex lives. I see this as being Door Detection on steroids.I also think the gap between the idea and the reality will delay complete realization for a while — but it’s a beginning.

I also think that late 2025 time frame hints at Apple’s target release schedule for the slightly more mass market Vision 2.0 devices speculators expect. However, speculation doesn’t mean much these days until Bloomberg’s Mark Gurman’s “little birds” (Game of Thrones reference) begin to whisper. And I don’t think they’ve discussed how AI, voice, and contextual genAI will underpin dramatic new user interfaces across a multitude of consumer devices (plausibly including something designed by Jony Ive).

Let’s move away from speculation based on what didn’t happen to run through what’s actually changed.

Here’s a run-down on how Apple has expanded Spatial Reality:

The handy gesture

For me, the biggest improvement is around gesture. Apple has made it handy to access Home View and Control Center on Vision devices. To get to Home, you just need to use your hand — stare at your palm, then tap the dot that appears. If you turn your hand around you’ll be presented with time and battery information and can tap in that view to invoke Control Center or adjust volume controls. You can also now change the icon arrangement in Home, and avatar hand movements have been made smoother with new animations

Memories get Spatial

Apple made several tweaks to photos and videos: 

  • You can turn existing photos into spatial images, adding depth to create a stereoscopic effect.
  • The Photos app on Vision devices has been improved.
  • You can share photos, videos, and panoramas during FaceTime calls using SharePlay.
  • You get video trimming controls to use from within the headset.

(I’m quite interested to see the extent to which a future version of Apple Intelligence will be able to generate 3D environments from 2D photos you can then explore using Vision Pro. I believe that is inevitable.)

When you need a keyboard

You can use a Mac keyboard with Vision devices. In visionOS 2, the device will recognize your keyboard and display it on screen. This makes it much easier to use the input device. Apple has also introduced support for Bluetooth mice, which means you can navigate your device using a mouse and keyboard. A Messaging improvement means you can now dictate a message by staring at your microphone icon.

The infinite workspace

For work, perhaps one of the better enhancements (coming later this year) is the introduction of a new panoramic screen, equivalent to two 4K displays standing alongside each other. This really is giant real estate and should make complex workflows more possible.

On the web

The Safari browser lets Vision Pro users watch videos on a large display in any environment. Siri will read page content and Tab Group support makes it easier to handle multiple tabs. When you get time off, you get emoji reaction and singalong tools in Apple Music and the capacity to watch up to 5 MLS and MLB games in Multiview mode. (The latter feature is also expected later in the year.) You can also watch video in one window while working in other applications.

Virtuality and immersive environments

Apple expanded the number of immersive environments available in visionOS. It also improved the avatar system, so it captures more accurate skin tones and clothing colors. 

And the rest

  • Guest mode gives guests 30-day access to your device as it saves their eye and hand data.
  • Live Captions provide real‑time transcriptions of speech, audio, and video content, including FaceTime calls.
  • There’s a new travel mode for trains.

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IDC: Built-in AI will boost interest in VR and AR

new forecast from the research firm IDC indicates that shipments of headsets for Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) will increase by 41.4% in 2025. And along with lower hardware prices, the big draw will be built-in AI functions, according to Reuters.

The new AI headsets are called ER (Extended Reality) and are expected to have a market share of just over 25% in four years.

Combined VR, AR, MR and ER headset sales are expected to rise from 6.4 million units in 2024 to 22.9 million units in 2028.

Amazon CEO wants workers back in the office five days a week

Amazon CEO Andy Jassy has announced that the company’s employees will soon have to work from the office five days a week, just as they did before the COVID-19 pandemic. Previously, workers were only required to be in the office three days a week.

“Looking back over the past five years, we continue to believe that the benefits of being together in the office are significant,” Jassy wrote in a message to staff. “In conclusion, we have observed that it is easier for our employees to learn, model, train and strengthen our culture; collaboration, idea generation and invention are easier and more efficient; teaching and learning from each other happens more smoothly; and teams tend to be better connected to each other.”

Employees will still have an opportunity to work remotely if they need to, but the option will no longer be standard for everyone. The new arrangement is set to go into effect on Jan. 2, 2025.

Intel scores Amazon AI chip deal, reigniting hopes for a turnaround

Intel’s foundry business has secured a significant deal with Amazon Web Services (AWS) for custom AI chip production, potentially bolstering confidence in the struggling chip giant.

In a memo to employees, CEO Pat Gelsinger revealed that Intel Foundry Services will manufacture an AI fabric chip for AWS using its 18A process technology.

“We will also produce a custom Xeon 6 chip on Intel 3 that builds on our existing partnership, under which Intel produces Xeon Scalable processors for AWS,” Gelsinger said. “More broadly, we expect to have deep engagement with AWS on additional designs spanning Intel 18A, Intel 18AP, and Intel 14A.”

The announcement comes after Intel secured up to $3 billion in direct funding under the US CHIPS and Science Act for the US government’s Secure Enclave program.

Gelsinger also announced plans to establish Intel’s foundry business as an independent subsidiary, completing the transition that began earlier this year when it separated Intel Foundry Services’ financials from its core operations.

All eyes on Intel

Intel’s recent moves have come under scrutiny as the chipmaker faces mounting pressure after weak quarterly earnings, aiming to stay relevant in the enterprise sector amid strong competition.

In the memo, Gelsinger acknowledged these challenges, saying that “all eyes have been on Intel since we announced Q2 earnings.”

 “There has been no shortage of rumors and speculation about the company, including last week’s Board of Directors meeting, so I’m writing today to provide some updates and outline what comes next,” Gelsinger added.

The custom chip deal with Amazon couldn’t have come at a better time, according to Hyoun Park, CEO and chief analyst at Amalgam Insights.

“It is no secret that the existing chip manufacturers are essentially maxed out on their production capacity for the next couple of years when it comes to AI,” Park said. “Any ability that Intel has to further support AI workloads would be welcomed by the market at large. This is especially important because AI is often developed in the cloud due to the unpredictability of the workload, and AWS is potentially a blank check in terms of acquiring AI chips.”

Neil Shah, partner & co-founder at Counterpoint Research, noted that the deal marks a significant milestone for Intel, potentially allowing it to package Amazon’s next-generation Trainium chip — possibly Trainium 3 — which could exceed 1000 watts, putting it on par with Nvidia’s Blackwell architecture.

“However, it remains to be seen how significant this deal is in terms of volume and the mix of front-end (wafer fab) and back-end (packaging) processes,” Shah added. “Additionally, the yield rate of the chips, compared to TSMC, will be a major concern in determining the profitability of the deal for both parties.”

Streamlining for performance

Gelsinger added that Intel Foundry is focused on enhancing capital efficiency while making adjustments to the near-term scope and pace of its manufacturing expansion.


The company has passed the halfway mark toward its goal of reducing its workforce by approximately 15,000 employees by the end of the year. It also plans to sell a stake in its programmable chip unit, Altera, and will delay projects in Poland and Germany for about two years, citing expected market demand.

Meanwhile, Intel reaffirmed its commitment to US manufacturing, moving ahead with projects in Arizona, Oregon, New Mexico, and Ohio.

Analysts warn that the company’s emphasis on US manufacturing while boosting its chances of securing government contracts and benefiting from reshoring initiatives, could strain relations with European partners and clients.

“Europe has been investing heavily in semiconductor autonomy through its own Chips Act, and Intel’s pause could shift momentum to Asian or European chipmakers eager to fill the gap,” said Manish Rawat, semiconductor analyst at Techinsights. “Intel’s move highlights the delicate balance between national security concerns and the need for a diverse global supply chain, especially when geopolitical instability or trade disruptions with Asia are considered.”

Generative AI: Powerful path to growth for software companies in Europe

As we navigate the threshold of a bold new era with generative AI, the excitement is palpable – not least for software companies in Europe. From content and code generation (including debugging and testing), personalisation, and back-office task optimisation to virtual assistants, decision-making, and far beyond, generative AI is a revolutionary technology that is beginning to drive considerable value. It is also a strategic imperative for software developers to help power the next stage of their customers’ growth.

McKinsey estimates that 75 percent of the value generative AI could deliver will come from four key areas: customer operations; marketing and sales; software engineering; research and development (R&D). The direct positive impact on software engineering productivity could range from 20 percent to 45 percent annually. This would be achieved through a reduction in the time spent on activities like generating initial code drafts, generating documentation, analysing the root-cause of issues, or creating new systems design.

Leveraging the Cloud to Seize the Generative AI Opportunity

At AWS, we are committed to helping software companies realise the full potential of cloud computing as an enabler for the fast adoption of generative AI. Thousands of software businesses in Europe are using AWS today to accelerate innovation, increase operational efficiencies, and reduce costs while getting the highest levels of security and protection. Cloud technology is crucial to create and power the Foundational Models (FMs), like Large Language Models (LLMs), and augment these models with your data, to build unique generative AI applications at scale. With Amazon Bedrock, we offer our customers the choice to use diverse high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities for building generative AI applications with security, privacy, and responsible AI.

Developers are telling us that they’re spending the majority of their time on repetitive and tedious tasks and cookie-cutter code. To help solve this challenge, we recently announced the general availability of Amazon Q, the most capable generative AI-powered assistant for accelerating software development and leveraging companies’ internal data. Amazon Q Developer assists developers and IT professionals with all of their tasks—from coding, testing, and upgrading applications, to troubleshooting, performing security scanning and fixes, and optimising AWS resources. This empowers developers to spend less time on repetitive and tedious coding and more time on creating unique experiences for their end users while being able to deploy faster.


Continual Evolution of Use Cases

Generative AI is already making an impact on software companies in Europe. InfoCert, whose Legalmail solution enables businesses to verify the authenticity and legal validity of their email exchanges, is using Amazon Bedrock to streamline access to innovative document and email processing features, and paving the way for more efficient machine learning (ML) integrations. InfoCert expects to reduce financial overhead by 80 percent for startup, development, and configuration costs when onboarding new customers.

Another example is Showpad, a software company recognised for crafting leading sales and marketing enablement solutions. It is leveraging AI services from AWS to analyse vast amounts of data and use the insights to generate personalised content that addresses each buyer’s unique needs and preferences. The results are telling, Showpad’s customers are already seeing a 2.2-times uplift in the return on investment for their marketing content.

AWS Commitment to Europe

Our commitment to democratising access to generative AI builds on our longstanding support of Europe’s digital future through our investments in infrastructure, jobs, skills development, and education in local communities. We recently announced plans to invest €15.7 billion in Spain in the AWS Europe (Spain) Region, which will support an estimated 17,500 full-time equivalent jobs in local businesses on an annual average basis.

For public sector organisations and customers in highly regulated industries, we are launching the AWS European Sovereign Cloud, a new independent cloud for Europe, by the end of 2025 with a planned investment of €7.8 billion. To help customers and partners plan their deployments to the AWS European Sovereign Cloud, we have published the roadmap of initial services.

AWS local teams work to empower software companies across Europe through various programs aimed at supporting their international expansion, such as AWS Global Passport. We are also focused on accelerating modernisation and fostering SaaS adoption through programs like AWS Migration Acceleration Program (MAP) and the dedicated EMEA SaaS Factory.

To learn more about how software companies can harness generative AI to accelerate growth, download ebook, and listen to this podcast.

A US semiconductor industry in crisis needs a workforce that doesn’t yet exist

Kendall McDaniel felt like a nomad worker, wandering from job to job, never making enough money, never feeling fulfilled. He worked entry-level jobs in construction, in healthcare and at multiple fast-food joints.

In those fast-food jobs, McDaniel said, “You could be bleeding out of your ears and you’d still be expected to come into work.”

With an associate’s degree in theater, McDaniel at the time felt there were no long-term career options ahead for him. Then, two years ago, his cousin — an electrician — told him about a manufacturing company he’d worked at. He liked how they treated him, and that tip convinced McDaniel to apply for another entry-level position; this time, the job led to an apprentice program in the semiconductor industry.

He’s now a machinist at Utica, NY-based Indium, which makes foundational materials for the production of semiconductors and electronics. “I didn’t know anything about the semiconductor industry,” said McDaniel, 29. “I didn’t know anything tech wise. I was never a STEM person. I had mostly been looking at how I could obtain financial stability. That was my main goal coming into this.”

While McDaniel has found the semiconductor manufacturing challenging, it’s allowed him to take on a myriad number of tasks that jibes with his attention deficit disorder and it’s work that feels important.

Semiconductor worker

Kendall McDaniel, an Machinist apprentice at semiconductor materials maker Indium, checks tolerances of rolled metals.

Indium

As a transgender man, McDaniel said he experienced culture shock. In earlier jobs, he said he didn’t feel safe or supported. And moving toward a manufacturing job conjured up images of “a bunch of tough guys.” In fact, most of his co-workers are women, and his managers took both his ADHD and his transgender identity in stride.

“Here, my managers have always encouraged me. If you have time off, go ahead and use it,” he said. “Or, [they’ll say] ‘You’re looking a little tired, do you need anything for the rest of the week?’ My manager always comes over to me and asks me if I’m all set.”

McDaniel is part of a state-sponsored apprenticeship program organized under NY CREATES, an Albany-based, non-profit semiconductor R&D facility, and the National Institute for Industry and Career Advancement (NIICA).

Funneling workers into the industry

One of NIICA’s primary focuses is on building the nation’s talent pipeline in semiconductor and advanced manufacturing industries through scholastic partnerships and certified apprenticeships under a program called Growing Apprenticeships in Nanotechnology and Semiconductors (GAINS), which is funded by the U.S. Department of Labor.

Under GAINS are a number of programs aimed at funneling entry-level workers and others into the semiconductor industry at a time when it’s rapidly expanding in the United States.

The efforts come at a time when the industry doesn’t have anywhere near the workforce — including technicians, computer scientists, and engineers — required to support future needs. By some estimates, the US semiconductor industry faces a worker shortfall of between 59,000 and 146,000 workers by 2029. A minimum of 50,000 trained semiconductor engineers will be needed over the next several years in the US to meet the overwhelming and rapidly growing demand, according to a study by Purdue University.

The broader U.S. economy is set to have a gap of 1.4 million such workers, according to a 2023 study from the Semiconductor Industry Association. So the competition will be fierce over those skilled workers. Compounding the problem is an ongoing exodus of existing talent as virtually all Baby Boomers will be retired by 2030. A study from Deloitte found that nearly 90% of technology leaders interviewed cited recruiting as their biggest challenge.

Incentivized by funding under the CHIPS and Science Act of 2022, semiconductor companies are expected to invest more than $80 billion in opening new or expanding current fabrication plants (fabs) and other related facilities through 2025, according to White House data. For example, after the world’s largest producer of microchips, TSMC, was promised $6.6 billion in CHIPS Act funding last spring, the company announced a third new fab in Arizona.

To date, the CHIPS Act has allocated over $32 billion in proposed funding across 17 companies, 16 states, and 26 projects. However, no CHIPS funding has been disbursed to any companies, according to the US Department of Commerce.

The reshoring of the semiconductor industry is important for the US economy and national security. Semiconductors, the silicon-based processors for everything from dishwashers and smartphones to hypersonic guided missiles, keep US infrastructure, the economy and its military systems running.

But, the United States’ share of global semiconductor manufacturing capacity has been steadily declining for decades, falling from roughly 40% in 1990 to about 12% in 2020, according to the Congressional Research Service (CRS).

Semiconductor jobs technicians, engineers

McKinsey & Co.

How we got here

Like so many other goods, chip manufacturing is expensive. So, many US semiconductor makers transitioned to a “fabless” model, where they designed the product and offshored manufacturing to East Asia. About 80% of all chip manufacturing takes place in the region, mainly in Taiwan and China, according to The Center for Strategic and International Studies.

The largest tech companies in the US, including Google, Apple, and Amazon, have relied on Taiwan’s TSMC alone for nearly 90% of their chip production.

Then in 2020, the Covid-19 pandemic arrived, exposing an existential threat to the global chip supply. Due to forced lockdowns and remote work, fabs were shuttered and the supply of everything from automobiles to smartphones and computers suffered from the depletion of chip inventories. Add to that the raging US-China trade war, and it became clear reshoring chip production to the US was critical.

In 2022, a report from the US Department of Commerce detailed an “alarming” shortage of computer chips at a time when the median demand for them was as much as 17% higher over a two-year period. “This is a major supply and demand mismatch,” the report said.

The problem with reshoring goes beyond simply building facilities; that’s only a start. The US hasn’t been focused on training engineers and technicians for the semiconductor industry for decades. So, manufacturers have taken on the task themselves, though it’s not likely to be close to meeting staffing needs.

TSMC, for example, is sending employees in the US to Taiwan to learn jobs, according to Taylor Roundtree, associate partner in the semiconductor practice of consulting firm McKinsey & Co. “They’re also bringing some Taiwanese ex-pats in, too,” Roundtree said.

GlobalFoundries, the third-largest chipmaker globally, is casting a wide net to recruit talent. The company has sought out veteran candidates, along with candidates from its own workforce reentry program and an initiative for women in construction.

Micron Technology, Inc., the world’s fourth-largest semiconductor company — and the only U.S. memory and storage manufacturer — plans to invest $100 billion to build the largest semiconductor fabrication facility in the history of the United States in Onondaga County in NY, just two hours from Hudson Valley.

As part of the CHIPS Act, the US Economic Development Administration through its Tech Hubs Program was authorized to receive $10 billion over five years with the main goal of creating additional semiconductor training programs. To date, however, the money isn’t being dispersed as expected.

“If I look at fiscal year 2023, it launched and only had $500 million in funding. So, if I have a five-year program that’s authorized to receive $10 billion, I would have expected $2 billion per year. The first year, it received just a quarter of that,” Roundtree said.

Schools, fabs collaborate on apprenticeships

In response, semiconductor companies have joined with US universities, community colleges and even high schools in states where new fabs are being built or where workers are most needed for existing facilities to create their own joint programs.

“We’ve been working with companies for 10 years,” said Laura Marmolejo, associate dean for the advanced manufacturing programs at Austin Community College (ACC) in Austin, Texas. “Many years ago I worked in the industry. When I went to the faculty side… I basically realized on the non-credit side how much of a disconnect there was between what companies want and what colleges in general want. We’re hung up on, ‘this is credit and this is not credit.'”

“I was part of a corporate training initiative we had back when I worked for a [semiconductor] company. I just saw there was a lot of opportunities for the colleges to do things different, but colleges — education in general — are slow to change,” Marmolejo said.

Ten years ago, ACC began working with Samsung on a grant, which allowed the school to develop a cirriculum, build infrastructure for training, buy equipment, and hire instructors. “At the time, it was me and one other person,” Marmolejo said.

ACC’s semiconductor programs are growing fast. It now has 15 full-time and 30 part-time instructors or staffers. It currently has 300 students enrolled in the program and has trained 2,000, most of whom have remained in the semiconductor industry.

NIICA is currently overseeing 4.900 apprentices working at 79 employers across 17 states. Its focus is on states where fabs and other related facilities are being built or expanded, including Arizona, New York, Texas, Ohio and California.

The greatest demand in the industry today is for engineers and technicians — the people who create the parts for semiconductors and operate and keep the production equipment running, said Clay Nagel, senior director of NIICA’s national center for skills-based learning.

“There’s definitely a dearth of talent,” he said. “Semiconductor manufacturing was moving out of the US for a very long time. Now you’re trying to onshore manufacturing. But there needs to be programs in place to teach people. We need education partners and employers onboard with that.”

That’s where NIICA fits in; the non-profit organization works with K-12 schools, community colleges and universities to help create training programs and apprenticeships with employers.

The apprenticeship programs set the industry apart from others because employees can work full-time jobs and learn skills while getting they’re getting paid.

“There needs to be an awareness campaign,” Nagel said, adding that the number of semiconductor chips needed will roughly triple by 2030. “I wouldn’t call it an emergency yet. I’d call it an urgent issue at this point.”

Data shows that semiconductor industry hiring has been steadily declining for the past two years and job postings are down, a trend Nagel ties to the cyclical nature of the industry. “During the 2021-2022 time frame, you couldn’t make enough computer chips with the shortages and hiring was through roof,” said Nagel, who formerly led technical training at semiconductor maker GlobalFoundries.

Semiconductor jobs trending down

McKinsey & Co.

When the economy picks up, people want new cars, televisions and smartphones, which means demand for chips goes up and manufacturers rush to boost inventory. That’s happening now, along with CHIPS Act incentives for semiconductor makers.

“I don’t see it being an issue that hiring is slow now,” said Nagel. “Just in the last 90 days, with companies that received CHIPS Act incentives, we’re now seeing anywhere from 50% hiring increases to 600% increases. They know these fabs are going to go online in late Q4 and through 2025. We predict hiring will continue to accelerate through 2025, 2026. I’d say this is the calm before the storm.

“It’s starting to get gusty,” he said.

ACC is one of the schools NIICA is now collaborating with on training and apprenticeships.

“We have a population that’s unskilled,” Marmolejo said. “There just aren’t a lot of people in the [US] semiconductor industry. Community colleges are really well suited to fill that gap and develop this workforce.

“Five years ago, nobody did apprenticeships,” Marmolejo continued. “Now we have four companies doing apprenticeships this fall. It motivates students to complete their credentials once they’re engaged.”

ACC isn’t trying to compete with the big technical schools such as Texas A&M, Marmolejo said. Community colleges simply don’t have the resources for that. Instead, ACC is focused on entry-level job training in applied technology and manufacturing — skills needed to attain a job as a machine operator or chip assembler.

“There’s a lot of people who need a job first,” Marmolejo said. “I tell students it’s not about starting pay. On average, it’s about $20 an hour, but the growth potential is huge. I have people who come into my program and say, ‘I’ve only gotten a one-dollar a year wage increase in my current job.’ That’s not going to happen in manufacturing. You can see $5 or $6 wage increases by end of year. It’s all performance based.

Dropping out of the funnel

In addition to the lack of semiconductor training programs is another issue: high attrition rates. University students who join engineering programs often change majors before they graduate, the engineers who do graduate often don’t enter engineering jobs — and those who get engineering jobs don’t choose semiconductors.

The state of Oregon, which has tracked semiconductor programs closer than any other state, found that only 8% to 12% of students who graduate from programs go on to work in engineering. “If I look at all undergraduate and graduate degrees awarded, roughly 3.7% of those are what they call core semiconductor degrees,” McKinsey & Co’s Roundtree said. “That’s defined as engineering technician and precision production roles. Of all the courses that people take in the state of Oregon, fewer than 4% are in those core semiconductor roles.

“If we’re facing an engineering shortage, that’s certainly one lever you could pull to get more engineers into the workforce,” Roundtree said. “You lose folks in huge swaths at every step of the funnel.”

More than 60% of executives in a semiconductor industry survey acknowledge it has an image problem in terms of making it an attractive career choice. Semiconductor fabs and development facilities evoke images of workers in white coveralls, filtration masks and cleanrooms where humidity, temperature and pressure conditions must constantly be maintained.

“Folks look at that cleanroom suit, and if I’m trying to choose between stocking shelves at Wal-Mart or putting on a cleanroom suit and moving boxes of wafers around a fab, well, if I’m only getting paid $2 more an hour to move the boxes of wafers around, maybe that’s not something I want to do,” said Bill Wiseman, senior partner and global co-leader of McKinsey & Co’s semiconductors practice.

Said Roundtree: “It’s something that in the US they haven’t had to face for a while, because we’ve not been building a lot of these cutting-edge fabs until now.”

Making the chip industry look cool

In some ways, the semiconductor industry is competing with the Googles and the Metas of the world to attract talent, and those companies can offer remote work — something manufacturing cannot do, said Isaac Hagen, senior vice president of vertical industry development at staffing firm ManpowerGroup.

“The challenging thing these days is making the semiconductor industry look cool,” Hagen said. “The talent largely does not exist. So, there is a need for upskilling, reskilling and what we refer to pre-skilling — so, getting people the skills they need before they even get into the job hunt.”

Most young people simply don’t consider that virtually everything they touch today is powered by a semiconductor chip. “When you start to talk to people about the industry, they realize that it powers the world,” Hagen said.

Peter Bermel, a professor of computer engineering at Purdue University, said one reason students avoid semiconductor engineering degrees is because they have a reputation of being “very hard,” especially in terms of mathematical requirements. “In general, that’s been a huge barrier — to keep people on the path,” Bermel said.

In 2020, Purdue University launched a Department of Defense-funded program called SCALE (Scalable Asymmetric Lifecycle Engagement); its aim is to train up a semiconductor workforce for the defense sector. Seventy-five percent of SCALE graduates remain in the semiconductor field, according to Bermel, who said the program is more attractive than others because it feels more purposeful.

“Since SCALE, things have changed quite a bit,” Bermel said. “We have more students staying in the program. We’ve been tracking our drop-out rate and it’s been about 4%. The students who join SCALE are highly motivated and find a lot of good opportunities to do things that are exciting.”

Cole Lush, a senior undergraduate student at Purdue in SCALE’s aerospace program, currently helps manufacture chips for updating older US ballistic missiles; it’s a job he got after his father, a retired US Air Force lieutenant colonel who worked with defense and data systems, urged him to pursue it.

“For a long time, I wanted to be an astrophysicist because space was my passion,” Lush said, “but then I realized I wanted to work on the systems that go into space. So, I focused more on engineering. Once I got involved with SCALE, I learned more about current events and the opportunities through SCALE.”

As a part of that SCALE, Lush was offered a summer intern program and hired by GRC Integrated Systems, a small consulting firm that works with the US Naval Surface Warfare Centers. During his internship, Lush worked on a project updating the internal electronics in older submarine-launchable ballistic missiles to extend their lifecycle.

“Part of the reason they hired me is because they saw SCALE on my resume at a career fair. Within a month, they told me, ‘you’re in,’” Lush said.

Updating US ballistic missiles is but one of many examples SCALE can offer students through its semiconductor education program. “All the defense systems, and obviously a huge number of commercial systems, are dependent on semiconductors,” Bermel said. “Having students who understand how things work on the inside is vital to preserve and extend these systems and create new and better systems.

NIICA’s Nagel said the bottom line should be that “opportunity is the sexiest part” of the semiconductor field. “A lot of companies are paying off student loans for employees,” Nagel said. “Through tuition reimbursement, you can work your way into engineering or management jobs without college debt.”

Imposter syndrome and the fear of math and sciences

In the past, entry-level positions in the semiconductor industry were rarely noticed by job seekers outside the industry. That changed as would-be workers saw new opportunities for training and advancement.

But new employees who’ve never worked in the semiconductor field can get “imposter syndrome” working in high-tech jobs that often require math and science backgrounds. “I encourage them to not get overwhelmed,” said Joe Rondino, a cleanroom operations manager for NY CREATES. “I tell them to trust the training programs we have and the mentors you’re given. As long as they’re hard workers, opportunities will present themselves. Math isn’t even required for a lot of the jobs.”

Rondino himself had been working in customer service at a large electronics retailer 11 years ago when he decided to change careers and attended a job fair. He was offered an entry-level job as a cleanroom operator working nights at NY CREATES; over time, he moved to a daytime shift and advanced as opportunities arose. He now manages 13 employees, and mentors apprentices.

What’s important is soft skills — the desire and ability to learn, and be a reliable and hard worker, Rondino said.

Hudson Valley Community College (HVCC) in Troy, NY first collaborated with NIICA when chipmaker GlobalFoundries (GF) initiated an Industrial Maintenance Technician Apprenticeship program. To carry out the program, GF conducts on-the-job training of approximately 2,000 hours per year, while the college partners with GF for the required related instruction. The college began conversations with NY CREATES in the spring of 2024 to explore another apprenticeship program partnership within the semiconductor industry

Through a partnership with HVCC, NY CREATES operates an apprenticeship program that lets people get hands-on training while also taking in courses at the college to advance in their careers.

One of Rondino’s apprentices, 27-year-old Kyle Huffer, has been with NY CREATES for eight months. With only a high school diploma, Huffer learned about the semiconductor R&D firm through a relative who also works there.

Huffer was intrigued. “He described it to me, and it sounded very interesting and a lot more mentally stimulating [than] what I was doing before,” said Huffer, who’d been detailing cars at the time.

Huffer works as a clean room operator in a control center, where silicon wafers — thin discs of semiconductor material used to create microchips — are loaded into and out of machines that process them.

Clean room operator and manager

Joe Rodino (L), a cleanroom operations manager, mentors Kyle Huffer (R), a cleanroom operator who has worked for NY CREATES the past eight months.

NY CREATES

Huffer loads plastic containers known as Front Opening Unified Pods, or FOUPs, that are filled with wafers and transfers them safely between machines as they’re processed.

“I wouldn’t say it’s challenging, but it’s definitely enjoyable and mentally stimulating,” said Huffer. “This field is booming. Technology is the future. So there’s plenty of room for advancement. We’re only going to get more technologically advanced and what we do contributes to that.”

Lea Montana, another cleanroom operator, runs machinery that processes the silicon wafers. A part of the apprenticeship program, she’s been working at NY CREATES for four years and hopes to become a certified engineering technician.

Montana had been working as a home healthcare aid in her 20s when her stepfather told her about his job at NY CREATES and the scientific aspect of the work interested her. She’s since obtained an associate’s degree in applied science, and is now training another employee on cleanroom work.

“It’s a really exciting job and there’s always something new to learn,” she said. “If you want to continue to learn and grow in a career, this is great. And there are a lot of other job opportunities you can move into on site.”

For Indium’s McDaniel, working in the semiconductor industry has provided something he’d never had before — a stable career. He and his wife recently purchased a house and he was also able to buy a newer car.

McDaniel credits his newfound career with being able to go to school while also working 40 to 50 hours a week, “and I didn’t feel like I was short-changing myself or the family I was starting to build. I’m at a point in my transition that I can pass [for a man] very well; it’s not something I’m concerned about. …The people around me here see me for my work ethic — they don’t just see me.”

HVCC’s apprenticeship program began in late 2021 and had 42 apprentices in the first year. Currently, HVCC has over 70 active apprentices with 20 employed in the semiconductor industry. The college has approximately 500 students in credit-bearing programs to prepare students for jobs in the semiconductor manufacturing workforce.

Needed now: a ‘Top Gun‘ moment

Because a semiconductor fab plant takes anywhere from three to five years to build and get online, and most of the projects didn’t break ground until 2022, the industry won’t see a boom in hiring until late this year through 2026, according to Hagen. But even by then, the workforce needed to staff those facilities will be far from ready.

TSMC, which is spending $40 billion to build a new plant and expand another in Phoenix, earlier this year announced further completion delays. Previously, the company planned for a 2026 opening; it now expects to go online in 2027 or 2028. TSMC makes 90% of the world’s most advanced chips, supplying them to companies like Apple and Nvidia.

Those kinds of delays could, ironically, give the industry a little more breathing room to find and train all of the workers who’ll be needed to staff them. But skills shortages are still likely.

“We kind of need a ‘Top Gun‘ moment,” Wiseman said. “Top Gun came out in 1986, and everybody wanted to become a naval aviator all of a sudden. Before that, most people didn’t even know the Navy had planes, let alone wanting to go join the Navy to fly them. That’s the kind of moment we need in the semiconductor industry.”

Digital portfolio spells trouble for new European Commission

Just as European Commission President Ursula von der Leyen was preparing to present her new team, there is trouble over the line-up for Commission posts: The European Union’s current Commissioner for the Internal Market and Services, Thierry Breton, has unexpectedly submitted his resignation.

In his resignation letter, which the Frenchman posted on X, Breton justified his move by saying that von der Leyen had asked the French government a few days ago to remove his name from the list of candidates, allegedly in exchange for another more influential portfolio.

“I would like to express my deepest gratitude to my colleagues in the College, Commission services, MEPs, Member States, and my team. Together, we have worked tirelessly to advance an ambitious EU agenda. It has been an honour & privilege to serve the common European interest,” Breton wrote in the tweet accompanying his resignation letter.