Month: August 2024

California’s contentious AI safety bill gets closer to becoming a law

California State Assembly has passed the “hotly debated” AI safety bill that could establish the nation’s most stringent regulations on AI, setting the stage for a contentious decision by Governor Gavin Newsom.

The legislation, known as the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act (SB 1047), proposes rigorous testing and accountability measures for AI developers, particularly those creating large and complex models. The bill, if enacted into law, would require AI companies to test their systems for safety before releasing them to the public.

The State Senate, which has already passed the legislation, will vote again with the new amendments on August 31, before the bill goes to Newsom who will have time until September 30 to sign or veto it.

“With this vote, the Assembly has taken the truly historic step of working proactively to ensure an exciting new technology protects the public interest as it advances,” Senator and co-author of the bill Scott Wiener said in a statement.

Key Provisions of the bill

Authored by Democratic State Senator Scott Wiener, the bill mandates that companies developing advanced AI models — specifically those costing over $100 million to create or those using substantial computing power — must undergo pre-sale testing for significant risks. This includes preventing the misuse of AI for tasks such as launching cyberattacks or developing biological weapons.

The bill also requires developers to implement a “kill switch” to deactivate models that pose a threat and to undergo third-party audits to verify their safety practices.

If AI technologies are found to be used in harmful ways and companies have not conducted the required testing, the bill empowers the state attorney general to file lawsuits. The legislation aims to protect the public from potential AI-related hazards but also seeks to balance innovation with safety.

Though the bill, also known as SB 1047, aims to impose rigorous safety standards on AI developers, it has also drawn sharp criticism and sparked a broader controversy about the future of AI regulation in the state.

While proponents argue that the legislation is necessary to protect the public and prevent the dangerous misuse of AI, critics claim that the AI bill goes too far and could stifle innovation. They warn that the stringent requirements might drive AI developers out of California, making the state less competitive in the fast-evolving tech landscape.

Tech industry pushback

The tech industry has reacted strongly against SB 1047. More than 74% of all companies that shared their views over the bill have opposed it. Major players including Google and Meta have voiced their opposition, fearing that the bill could create an unfriendly regulatory environment and hinder AI advancements.

OpenAI, known for its popular ChatGPT platform, has argued that AI regulation “should be handled at the federal level” to ensure a uniform approach across states, rather than through state-specific laws that could lead to a patchwork of regulations. In an open letter to Senator Weiner, OpenAI chief strategy officer Jason Kwon said the AI bill would “stifle innovation,” and companies would “leave California.”

Weiner, however, responding to the letter, said this argument “makes no sense.”

“This tired argument — which the tech industry also made when California passed its data privacy law, with that fear never materializing — makes no sense given that SB 1047 is not limited to companies headquartered in California. Rather, the bill applies to companies doing business in California. As a result, locating outside of California does not avoid compliance with the bill,” Weiner wrote in the letter.

SB 1047 has also drawn criticism from key industry figures, including Dr. Fei-Fei Li, the co-director of the Stanford Institute for Human-Centered Artificial Intelligence and often referred to as the “godmother of AI.”

In an article published in Fortune earlier this month, Li expressed concerns that the bill’s penalties and restrictions could have unintended consequences that stifle innovation.

She argued that SB 1047 “will harm our emerging AI ecosystem,” particularly affecting sectors that are already at a disadvantage compared to major tech companies, such as the public sector, academia, and smaller tech firms.

Even some AI researchers and developers who support the idea of regulation have criticized the bill. Andrew Ng, a prominent AI entrepreneur and former head of AI at Google, has called the bill “anti-open source” and “anti-innovation” in an X post arguing that it targets the broad development of AI technology rather than focusing on specific harmful applications.

Not only the tech leaders, but even Democrat lawmakers have also opposed the bill vehemently. House Speaker Nancy Pelosi, representing San Francisco, has been particularly vocal in her opposition, labeling the bill as “well-intentioned but ill-informed.” She and Representatives Ro Khanna and Zoe Lofgren argue that the bill could harm California’s tech industry by imposing burdensome regulations that may deter AI development.

In an open letter, the group of lawmakers expressed concerns that the bill could jeopardize open-source AI models, which rely on publicly available code and are considered vital for advancing AI technologies. They argue that such regulations could discourage innovation and put California at a disadvantage compared to other states and countries that are more welcoming to AI development.

Besides, industry groups have also launched a major campaign against the bill, including creating a website that generates letters for people to send to California lawmakers, urging them to vote against the legislation.

Despite the significant pushback, SB 1047 has found supporters both in the legislature and within the tech community. The bill passed the California Assembly with a 41-9 vote and is expected to clear the Senate again before reaching Governor Newsom’s desk.

Supporters like Tesla CEO Elon Musk and AI startup Anthropic have praised the bill for taking a proactive stance on AI safety, emphasizing the need for guardrails to prevent potential misuse of powerful AI technologies.

However, Senator Wiener has defended the legislation, arguing that it does not stifle innovation but aims to ensure that AI development proceeds responsibly. “Innovation and safety are not mutually exclusive,” Wiener said in the statement, stressing that the bill is designed to increase public trust in AI technologies by holding companies accountable to safety standards they have already adopted.

What’s next for the California AI bill?

As the bill moves closer to becoming law, Governor Newsom faces a pivotal decision that could have wide-ranging implications for the tech industry and AI regulation nationwide.

With Congress showing little progress on federal AI legislation, California’s actions could set a precedent for other states considering how to manage the rapid development of AI technologies.

Upgrade cycles to boost global sales of AI-enabled PCs: Lenovo

Lenovo expects increased demand for AI-powered PCs as enterprises aim to enhance productivity with new technology while upgrading outdated hardware and software, according to Amar Babu, the company’s Asia-Pacific president.

“The technology itself is a key driver,” Babu said, noting that AI enables a personalized user experience that, once adopted, will lead to significant productivity gains and foster greater innovation and creativity.

Babu further highlighted the upcoming end of support for Windows 10, which will necessitate a migration to Windows 11 for enterprises and commercial users, further driving demand for new PCs.

Additionally, the anticipated PC refresh cycle, driven by the surge in purchases during the COVID-19 pandemic, is expected to create a significant replacement demand over the next two to three years.

Lenovo believes that a combination of these factors, along with the availability of advanced technology at competitive prices, will fuel market growth, potentially leading to over 50% of PCs sold globally being AI-enabled by 2027.

An IDC report released earlier this year supports this view, predicting that AI-enabled PCs could capture nearly 60% of the global PC market by 2027, indicating a major shift in the industry. Gartner predicts that by the end of 2026, 100% of enterprise PC purchases will be AI PCs, which are computers that include a neural processing unit (NPU) enabling on-computer AI operations.

However, as the industry increasingly adopts AI and seeks to diversify user experiences, brands are under pressure to collaborate and offer unique value propositions, particularly in the enterprise segment.

Lenovo’s efforts to differentiate

Lenovo has aimed to strengthen its position in the AI-powered computing market through partnerships focused on enhancing the capabilities of its AI PCs, next-generation AI PCs, and AI-ready workstations.

In collaboration with Intel, Lenovo was among the first to launch AI-enabled PCs featuring Intel Core Ultra processors, which made their debut at CES earlier this year, the company said.

At Computex 2024, Lenovo expanded its AI portfolio with laptops powered by AMD’s 3rd Gen Ryzen AI processors, targeting a broad spectrum of users, from consumers to small and medium-sized businesses.

Lenovo also partnered with Qualcomm and Microsoft to introduce the first Copilot+ PCs powered by Snapdragon X Elite processors. The Lenovo Yoga Slim 7x and ThinkPad T14s Gen 6, available since last quarter, offer enhanced personalization and AI-driven computing power, featuring Windows 11 and Copilot+ functionality.

Lenovo’s approach, as outlined by Babu, centers on enhancing the user experience by enabling its PCs to learn, adapt, and leverage data stored on the device. The strategy also emphasizes the importance of a hybrid AI model that operates both in the cloud and on the device.

“How can we provide a tech solution that allows for a comprehensive solution, enhances user experience by optimizing AI agents driven by different software partners, and provides the right platform, including the creation of our own foundational models as we develop throughout the product lifecycle?” Babu said. “That’s how we are approaching this whole AI PC game.”

The role of AI agents

The use of third-party AI solutions has become commonplace in the industry. Lenovo plans to follow this trend by developing its own AI agents, either through integration with platforms like Microsoft Copilot or through proprietary solutions tailored to specific industry needs.

In China, Lenovo has developed an LLM-powered personal AI agent in collaboration with a local cloud provider. For the global market, the company plans to integrate Copilot with its own AI agent to deliver tailored experiences and added value.

“We are working on a tool for creators that will allow them to leverage AI much more effectively,” Babu said. He added that the company is also developing platforms and stacks for developers to further enhance AI capabilities.

Lenovo believes this approach will set its user experience apart, ensuring that even with similar hardware specifications, the overall experience will be “very, very different” and comprehensive, thanks to its collaborations with multiple partners.

Babu believes that this strategy of combining in-house AI solutions with partnerships positions Lenovo to offer enterprises a more integrated and customized AI-powered PC experience, potentially giving it an advantage over competitors that rely solely on third-party integrations.

Leveraging the inevitability of AI


As AI technology continues to gain momentum, enterprises may increasingly require AI-enabled PCs to remain competitive.

“If your competitor is adopting this technology and you’re not, it could pose a challenge,” Babu said. “To stay competitive, integrating some of these AI capabilities may become necessary.”

Lenovo added it aims to help its enterprise clients maintain their competitive edge by providing a distinctive AI-powered PC experience backed by a comprehensive AI technology stack.

Upgrade cycles to boost global sales of AI-enabled PCs: Lenovo

Lenovo expects increased demand for AI-powered PCs as enterprises aim to enhance productivity with new technology while upgrading outdated hardware and software, according to Amar Babu, the company’s Asia-Pacific president.

“The technology itself is a key driver,” Babu said, noting that AI enables a personalized user experience that, once adopted, will lead to significant productivity gains and foster greater innovation and creativity.

Babu further highlighted the upcoming end of support for Windows 10, which will necessitate a migration to Windows 11 for enterprises and commercial users, further driving demand for new PCs.

Additionally, the anticipated PC refresh cycle, driven by the surge in purchases during the COVID-19 pandemic, is expected to create a significant replacement demand over the next two to three years.

Lenovo believes that a combination of these factors, along with the availability of advanced technology at competitive prices, will fuel market growth, potentially leading to over 50% of PCs sold globally being AI-enabled by 2027.

An IDC report released earlier this year supports this view, predicting that AI-enabled PCs could capture nearly 60% of the global PC market by 2027, indicating a major shift in the industry. Gartner predicts that by the end of 2026, 100% of enterprise PC purchases will be AI PCs, which are computers that include a neural processing unit (NPU) enabling on-computer AI operations.

However, as the industry increasingly adopts AI and seeks to diversify user experiences, brands are under pressure to collaborate and offer unique value propositions, particularly in the enterprise segment.

Lenovo’s efforts to differentiate

Lenovo has aimed to strengthen its position in the AI-powered computing market through partnerships focused on enhancing the capabilities of its AI PCs, next-generation AI PCs, and AI-ready workstations.

In collaboration with Intel, Lenovo was among the first to launch AI-enabled PCs featuring Intel Core Ultra processors, which made their debut at CES earlier this year, the company said.

At Computex 2024, Lenovo expanded its AI portfolio with laptops powered by AMD’s 3rd Gen Ryzen AI processors, targeting a broad spectrum of users, from consumers to small and medium-sized businesses.

Lenovo also partnered with Qualcomm and Microsoft to introduce the first Copilot+ PCs powered by Snapdragon X Elite processors. The Lenovo Yoga Slim 7x and ThinkPad T14s Gen 6, available since last quarter, offer enhanced personalization and AI-driven computing power, featuring Windows 11 and Copilot+ functionality.

Lenovo’s approach, as outlined by Babu, centers on enhancing the user experience by enabling its PCs to learn, adapt, and leverage data stored on the device. The strategy also emphasizes the importance of a hybrid AI model that operates both in the cloud and on the device.

“How can we provide a tech solution that allows for a comprehensive solution, enhances user experience by optimizing AI agents driven by different software partners, and provides the right platform, including the creation of our own foundational models as we develop throughout the product lifecycle?” Babu said. “That’s how we are approaching this whole AI PC game.”

The role of AI agents

The use of third-party AI solutions has become commonplace in the industry. Lenovo plans to follow this trend by developing its own AI agents, either through integration with platforms like Microsoft Copilot or through proprietary solutions tailored to specific industry needs.

In China, Lenovo has developed an LLM-powered personal AI agent in collaboration with a local cloud provider. For the global market, the company plans to integrate Copilot with its own AI agent to deliver tailored experiences and added value.

“We are working on a tool for creators that will allow them to leverage AI much more effectively,” Babu said. He added that the company is also developing platforms and stacks for developers to further enhance AI capabilities.

Lenovo believes this approach will set its user experience apart, ensuring that even with similar hardware specifications, the overall experience will be “very, very different” and comprehensive, thanks to its collaborations with multiple partners.

Babu believes that this strategy of combining in-house AI solutions with partnerships positions Lenovo to offer enterprises a more integrated and customized AI-powered PC experience, potentially giving it an advantage over competitors that rely solely on third-party integrations.

Leveraging the inevitability of AI


As AI technology continues to gain momentum, enterprises may increasingly require AI-enabled PCs to remain competitive.

“If your competitor is adopting this technology and you’re not, it could pose a challenge,” Babu said. “To stay competitive, integrating some of these AI capabilities may become necessary.”

Lenovo added it aims to help its enterprise clients maintain their competitive edge by providing a distinctive AI-powered PC experience backed by a comprehensive AI technology stack.

Yelp sues Google, stoking fears of more antitrust battles

The online review site Yelp has filed a lawsuit against Google in a San Francisco federal court, accusing the search giant of illegally monopolizing the local search market.

In a blog post announcing this, Yelp co-founder and CEO Jeremy Stoppelman criticized Google for prioritizing its own services over fair competition with companies like Yelp, resulting in many searches that lead to zero clicks and keep users on Google’s search results page.

“Google has illegally leveraged its monopoly in general search to dominate the local search and local search advertising markets, engaging in anticompetitive practices that have lowered the quality of search results and sidelined competitors to expand its market power,” Stoppelman said in the post.

Significantly, this move comes shortly after a US District Court ruled that Google is a monopoly, having used its dominance in the online search market to stifle competition and prevent rival search engines from gaining market share.

After a lengthy trial, the court had found that Google spent tens of billions of dollars on exclusive contracts to secure and maintain its position as the default search engine on web browsers and mobile devices.

A potential precursor to more action

Yelp has consistently advocated for improvements to Google’s local search features, according to Stoppelman. However, the timing of this lawsuit has raised concerns about the potential for more legal actions against Google.

In his blog post, Stoppelman cited the District Court’s ruling and highlighted others, including the European Commission’s $2.6 billion fine on Google in 2017 for favoring its own shopping services and a recent investigation launched in March under the Digital Markets Act into Google’s self-preferencing in search results.

Prabhu Ram, VP of industry research at Cybermedia, pointed out that Yelp’s antitrust lawsuit against Google, following closely after the recent adverse ruling against the tech giant, might signal the beginning of a series of comparable legal challenges.

“If Yelp prevails, it may potentially compel Google to change how it presents local search results, potentially giving more visibility to competitors,” Ram said. “This shift could, in turn, compel businesses to re-evaluate their online presence and advertising strategies on Google.”

The major point of contention


Analysts point out that the main issue lies in the clashing business models, as both Google and Yelp depend on advertising revenue.

Additionally, there is significant concern over how user traffic is funneled to Specialized Vertical Providers (SVPs) like Yelp, Zillow, OpenTable, and Glassdoor.

“The discovery aspect is the primary area of conflict, given that Google has the ability to control and direct the majority of search traffic, whether to sponsored listings, its own properties, or these SVPs, as most user searches for a Point of Interest (POI) begin on Google,” said Neil Shah, partner and co-founder at Counterpoint Research. “For SVPs like Yelp, the expectation is that Google will fairly display results rather than directing traffic to its preferred destinations, which could harm their businesses. Transparency and fairness in this process are what Yelp and other SVPs are seeking.”

However, this argument may not be entirely persuasive, as both Google and Yelp operate on display advertising models.

Shah noted that Yelp applies similar tactics to Points of Interest (POIs) on its platform, effectively mirroring the treatment it claims to receive from Google.

“In Google’s defense, Yelp could ramp up its SEO practices or pay Google the ‘advertising fee’ to get promoted on the Google platform,” Shah added. “So, this lawsuit is a double-edged sword and can cut both ways for Yelp.”

Yelp sues Google, stoking fears of more antitrust battles

The online review site Yelp has filed a lawsuit against Google in a San Francisco federal court, accusing the search giant of illegally monopolizing the local search market.

In a blog post announcing this, Yelp co-founder and CEO Jeremy Stoppelman criticized Google for prioritizing its own services over fair competition with companies like Yelp, resulting in many searches that lead to zero clicks and keep users on Google’s search results page.

“Google has illegally leveraged its monopoly in general search to dominate the local search and local search advertising markets, engaging in anticompetitive practices that have lowered the quality of search results and sidelined competitors to expand its market power,” Stoppelman said in the post.

Significantly, this move comes shortly after a US District Court ruled that Google is a monopoly, having used its dominance in the online search market to stifle competition and prevent rival search engines from gaining market share.

After a lengthy trial, the court had found that Google spent tens of billions of dollars on exclusive contracts to secure and maintain its position as the default search engine on web browsers and mobile devices.

A potential precursor to more action

Yelp has consistently advocated for improvements to Google’s local search features, according to Stoppelman. However, the timing of this lawsuit has raised concerns about the potential for more legal actions against Google.

In his blog post, Stoppelman cited the District Court’s ruling and highlighted others, including the European Commission’s $2.6 billion fine on Google in 2017 for favoring its own shopping services and a recent investigation launched in March under the Digital Markets Act into Google’s self-preferencing in search results.

Prabhu Ram, VP of industry research at Cybermedia, pointed out that Yelp’s antitrust lawsuit against Google, following closely after the recent adverse ruling against the tech giant, might signal the beginning of a series of comparable legal challenges.

“If Yelp prevails, it may potentially compel Google to change how it presents local search results, potentially giving more visibility to competitors,” Ram said. “This shift could, in turn, compel businesses to re-evaluate their online presence and advertising strategies on Google.”

The major point of contention


Analysts point out that the main issue lies in the clashing business models, as both Google and Yelp depend on advertising revenue.

Additionally, there is significant concern over how user traffic is funneled to Specialized Vertical Providers (SVPs) like Yelp, Zillow, OpenTable, and Glassdoor.

“The discovery aspect is the primary area of conflict, given that Google has the ability to control and direct the majority of search traffic, whether to sponsored listings, its own properties, or these SVPs, as most user searches for a Point of Interest (POI) begin on Google,” said Neil Shah, partner and co-founder at Counterpoint Research. “For SVPs like Yelp, the expectation is that Google will fairly display results rather than directing traffic to its preferred destinations, which could harm their businesses. Transparency and fairness in this process are what Yelp and other SVPs are seeking.”

However, this argument may not be entirely persuasive, as both Google and Yelp operate on display advertising models.

Shah noted that Yelp applies similar tactics to Points of Interest (POIs) on its platform, effectively mirroring the treatment it claims to receive from Google.

“In Google’s defense, Yelp could ramp up its SEO practices or pay Google the ‘advertising fee’ to get promoted on the Google platform,” Shah added. “So, this lawsuit is a double-edged sword and can cut both ways for Yelp.”

Court handcuffs employees with non-compete agreements — again

I hate non-compete contracts — and I’m not alone. They restrict workers’ ability to move from job to job, which in turn reduces salaries. The only way I ever got a significant raise during my career was when I changed employers. So, when the US Federal Trade Commission (FTC) banned non-compete agreements, I, and a few million employees, were pleased as punch. 

That happiness was brief. Before the ban could even take effect on Sept. 4 (two days after Labor Day in the US), District Court Judge Ada Brown in Dallas stopped the FTC from enforcing it, saying the move “exceeded its statutory authority,” was “arbitrary and capricious” and would have caused businesses “irreparable harm.” 

Yeah. Right. 

I’ve been an employee, a freelancer, and I’ve owned small businesses. Non-compete agreements have only hurt me in the first two cases, and I never found a reason as a boss for requiring my employees to sign a non-compete contract clause.

I know there are times when these agreements do make sense. If I invented a better mouse trap, I wouldn’t want my engineers taking the cheese to rival Acme Giant Mouse Trap Inc.  But more often than not, the non-compete clauses I’ve seen are just there to trap employees.  

You might think these things are only a pain for people like me who work in the tech and creative space. You’d be wrong. Employees also locked into their jobs include hairdressers, janitors, security guards, and fast-food workers. Who knew that the ability to say, “Would you like fries with that?” was proprietary? Not me.

Altogether, the FTC estimated that the ban could increase workers’ earnings by at least $400 billion over the next decade, affecting about 30 million American workers. It was a nice dream while it lasted. 

Essentially, Brown ruled that the federal agency lacked the statutory authority to enact such a sweeping ban and violated the US Administrative Procedures Act. She  emphasized that Congress or individual states, not federal agencies, are the organizations that can regulate non-compete agreements.

This is all part of an overriding conservative legal argument that federal agencies have minimal powers. That wasn’t always the case.

For decades, a Supreme Court ruling in the 1984 case, Natural Resources Defense Council, required federal courts to defer to an agency’s reasonable interpretation of an ambiguous statute that the agency was tasked with administering. This became known as the Chevron Doctrine. 

I favored Chevron because, while I’m no lawyer, I know enough about regulatory law to know that the “law” usually only offers general guidelines on difficult, detailed issues. If you think, for example, your average Congresscritter has a clue about how, say, net neutrality really works, think again. The Federal Communications Commission (FCC) and FTC have the experts to nail the specifics; Congress doesn’t — and neither does your state legislature. 

Unfortunately, the Trump-appointee-dominated Supreme Court trashed Chevron with this year’s Loper Bright decision. And it doesn’t put the ball back in Congress’s court to make incredibly detailed laws. As the Cleary Gottlieb law firm put it, it’s now up to “federal courts to draw their own conclusions about the correct legal interpretation of otherwise ambiguous federal statutes.”

Oh boy, judges will now get the final say on setting detailed policy. I’m thrilled. This is just another chapter in the ongoing debate over the balance of power between federal agencies and the judiciary. Given how the courts, especially the Supreme Court, have been ruling lately, I’m not a happy camper.  

The FTC isn’t happy, either. I expect it will appeal. (I don’t have high hopes for their chances with the current Supreme Court.) In any case, the FTC will continue to address non-compete agreements through case-by-case enforcement actions. The chances it will have much success are slim, but we live in hope. 

While the FTC contemplates its next steps, businesses and employees remain in a state of limbo regarding the fate of non-compete agreements. I expect businesses will hang on to their agreements until the FTC or the courts pry their cold dead fingers off them. 

Non-compete deals, like their mirror “at-will employment laws, which give companies the right to fire employees for no reason whatsoever except for a few specific situations, put all the power in employers’ hands. It’s not fair, and it’s not right. Workers deserve the right to get the best possible deal for their labor and some semblance of job security. 

Is that too much to ask for? It appears that in the United States, at least for now, it is. 

Court handcuffs employees with non-compete agreements — again

I hate non-compete contracts — and I’m not alone. They restrict workers’ ability to move from job to job, which in turn reduces salaries. The only way I ever got a significant raise during my career was when I changed employers. So, when the US Federal Trade Commission (FTC) banned non-compete agreements, I, and a few million employees, were pleased as punch. 

That happiness was brief. Before the ban could even take effect on Sept. 4 (two days after Labor Day in the US), District Court Judge Ada Brown in Dallas stopped the FTC from enforcing it, saying the move “exceeded its statutory authority,” was “arbitrary and capricious” and would have caused businesses “irreparable harm.” 

Yeah. Right. 

I’ve been an employee, a freelancer, and I’ve owned small businesses. Non-compete agreements have only hurt me in the first two cases, and I never found a reason as a boss for requiring my employees to sign a non-compete contract clause.

I know there are times when these agreements do make sense. If I invented a better mouse trap, I wouldn’t want my engineers taking the cheese to rival Acme Giant Mouse Trap Inc.  But more often than not, the non-compete clauses I’ve seen are just there to trap employees.  

You might think these things are only a pain for people like me who work in the tech and creative space. You’d be wrong. Employees also locked into their jobs include hairdressers, janitors, security guards, and fast-food workers. Who knew that the ability to say, “Would you like fries with that?” was proprietary? Not me.

Altogether, the FTC estimated that the ban could increase workers’ earnings by at least $400 billion over the next decade, affecting about 30 million American workers. It was a nice dream while it lasted. 

Essentially, Brown ruled that the federal agency lacked the statutory authority to enact such a sweeping ban and violated the US Administrative Procedures Act. She  emphasized that Congress or individual states, not federal agencies, are the organizations that can regulate non-compete agreements.

This is all part of an overriding conservative legal argument that federal agencies have minimal powers. That wasn’t always the case.

For decades, a Supreme Court ruling in the 1984 case, Natural Resources Defense Council, required federal courts to defer to an agency’s reasonable interpretation of an ambiguous statute that the agency was tasked with administering. This became known as the Chevron Doctrine. 

I favored Chevron because, while I’m no lawyer, I know enough about regulatory law to know that the “law” usually only offers general guidelines on difficult, detailed issues. If you think, for example, your average Congresscritter has a clue about how, say, net neutrality really works, think again. The Federal Communications Commission (FCC) and FTC have the experts to nail the specifics; Congress doesn’t — and neither does your state legislature. 

Unfortunately, the Trump-appointee-dominated Supreme Court trashed Chevron with this year’s Loper Bright decision. And it doesn’t put the ball back in Congress’s court to make incredibly detailed laws. As the Cleary Gottlieb law firm put it, it’s now up to “federal courts to draw their own conclusions about the correct legal interpretation of otherwise ambiguous federal statutes.”

Oh boy, judges will now get the final say on setting detailed policy. I’m thrilled. This is just another chapter in the ongoing debate over the balance of power between federal agencies and the judiciary. Given how the courts, especially the Supreme Court, have been ruling lately, I’m not a happy camper.  

The FTC isn’t happy, either. I expect it will appeal. (I don’t have high hopes for their chances with the current Supreme Court.) In any case, the FTC will continue to address non-compete agreements through case-by-case enforcement actions. The chances it will have much success are slim, but we live in hope. 

While the FTC contemplates its next steps, businesses and employees remain in a state of limbo regarding the fate of non-compete agreements. I expect businesses will hang on to their agreements until the FTC or the courts pry their cold dead fingers off them. 

Non-compete deals, like their mirror “at-will employment laws, which give companies the right to fire employees for no reason whatsoever except for a few specific situations, put all the power in employers’ hands. It’s not fair, and it’s not right. Workers deserve the right to get the best possible deal for their labor and some semblance of job security. 

Is that too much to ask for? It appears that in the United States, at least for now, it is. 

Generative AI could drive 2024 smartphone sales, says IDC

Generative AI capabilities — or at least the perceptions surrounding them — are rewriting almost all of IT. But with generative AI ROI proving elusive in IT circles, is AI truly going to impact near-term revenue? With mobile devices, analyst group IDC thinks it very well might.

“Premium markets are starting to embrace gen AI smartphones, generating excitement and renewed interest in the industry,” IDC said in a statement accompanying the latest edition of its Worldwide Quarterly Mobile Phone Tracker study.

This forecasts that Android phone sales will grow 7.1% in 2024, while sales of phones running iOS will stagnate, growing just 0.8%.

IDC forecast that generative AI-capable smartphones will capture 18% share of the total market by the end of 2024, with most flagship phones including some on-device generative AI features. However, the average selling price for smartphones with generative AI capabilities will be more than double the cost of those without, it said.

Adoption of AI-capable smartphones is of relevance for enterprises wishing either to deploy the technology internally, or push AI capable applications to customers.

“There is a potential upside to the iOS forecast with a lot depending on how well the demonstrated gen AI use cases play out in the upcoming iPhone 16 launch and how soon Apple can establish local AI partnerships in China,” IDC senior research director Nabila Popal said in the statement.

The use cases Popal is referring to involve Apple Intelligence, which is Apple’s attempt to deliver generative AI functionality on-device instead of via the cloud. Apple is discovering that such a delivery is complicated; the company’s September launch event for new mobile devices may focus more on what capabilities will materialize later rather than what can be delivered on launch day.  

If buyers are disappointed by the first generation’s weaker-than-hoped-for functionality, that might depress sales of second-generation products — even if the functionality with second-generation is far superior: The perception game can have a nasty boomerang effect.

Generative AI is not yet delivering growth for mobile but it is “creating excitement,” Popal told Computerworld.

She sees a key driver of generative AI in mobile being not the capabilities — at least not initially — as much as the perception of better data privacy.

That perception comes from the argument that much of the new data from device-resident AI will stay on the device and not move to the cloud.

“I don’t want all of my data to be on the cloud” given that the new gen AI functionality will be accessing so much personal information, she said. “It will be context aware, history aware, aware of my schedule” and aware of who the user is visiting and their planned visits.

The privacy reality, though, is that some — and potentially all — of that data may wind up in the cloud anyway given backup choices.

“Some data will still be stored on the cloud,” depending on user setting choices, Popal said. “That’s where the consumer consent comes in.”

The bulk of the potential excitement comes from the theoretical ability of on-device generative AI to break down the barriers between applications. Instead of the user looking up information from the larger number of installed apps, the device could answer the questions directly as it will interrogate the apps seamlessly in the background. 

The mobile model used to talk about “there’s an app for that,” Popal said, but as the number of apps soared, there was more of an effort burden placed on users. In theory, she argued, on-device AI could change that.

“Gen AI smartphones will completely change the way we interact with our phones,” she said. “Whether it’s processing a return, buying a ticket, booking a hotel or making sure it is the best deal, it will make human suggestions such as ‘If you change that date one more day, you’ll save $500.’” 

But — lest buyers get too excited already — such capabilities may take years to appear, as software vendors will need to adapt to new APIs as well as wait for their customers to buy AI-capable phones.