Following Tesla’s “We, Robot” event on October 10 at the Warner Bros. Studios in Los Angeles, we look at the big reveals, the reactions to them, plus some of the key comments made and opinions given.

A Showcase of Futuristic Visions 

Tesla’s long-anticipated “We, Robot” event, which captured the attention of millions worldwide, was CEO Elon Musk’s bold declaration of the company’s future direction, positioning Tesla not just as an electric vehicle manufacturer but as a cutting-edge robotics and artificial intelligence company. The showcase was reported to be rich with futuristic visions, but it left many wondering whether these concepts were truly within reach or just another example of Musk’s futuristic ambitions.

The Cybercab – A Robotaxi with No Steering Wheel 

The centrepiece of the evening was the long-awaited Tesla robotaxi, referred to as the “Cybercab”. A striking vehicle with gull-wing doors, the Cybercab was revealed as a completely autonomous car, lacking both a steering wheel and pedals. It operates solely on Tesla’s proprietary Full Self-Driving (FSD) technology, a vision-based system that relies on cameras rather than hardware such as lidar, which is commonly used by competitors like Waymo.

Musk announced that the Cybercab would be priced under $30,000 and would enter production in 2026, albeit without committing to a specific timeline for large-scale manufacturing. “The autonomous future is here,” Musk proclaimed to the audience, describing how these vehicles could be up to ten times safer than human-driven cars. He added that they could operate at a cost of only 20 cents per mile. Charging, he said, would be made even more convenient through inductive charging, which eliminates the need for physical charging plugs.

And …The Robovan, Tesla’s Autonomous Multi-Passenger Vehicle 

While the Cybercab was undoubtedly the star of the show, Musk also introduced a surprise in the form of Tesla’s ‘robovan’. Designed to carry up to 20 passengers, the robovan offers a vision for high-volume, autonomous transport. However, details about the robovan’s production timeline, features, and expected costs were reported to be notably sparse. Musk briefly mentioned that its operational costs could be as low as 5 cents per mile, making it potentially one of the cheapest transport solutions in the market.

Regulatory Hurdles Ahead 

Although the robovan could potentially revolutionise shared transport, industry analysts have been quick to point out the significant regulatory and technical hurdles that stand in the way. For example, Matthew Wansley, a professor of law at New York’s Cardozo School, commented, “What Tesla showed tonight was a lot of sci-fi smoke and mirrors… Musk has yet to prove that a vision-only approach for automation is viable.”

Tesla’s ‘Optimus’ Humanoid Robot 

As the event’s name suggests, “We, Robot” was not just about autonomous vehicles. Musk used the opportunity to highlight Tesla’s progress with ‘Optimus’, the company’s humanoid robot. Priced between $20,000 and $30,000, the robot is designed to handle many everyday tasks, offering a glimpse into how AI and robotics could reshape labour markets. Musk did not delve deeply into specific capabilities but promised that Tesla has made “a lot of progress” on the Optimus robot.

The unveiling of Optimus sparked a mixture of excitement and scepticism. For some, it reinforced Musk’s long-standing ambition to push AI and robotics into mainstream use. However, others expressed doubt about how quickly such a product could be scaled for consumer use, with some comparing it to past announcements from Tesla that have seen significant delays or failed to materialise.

Key Reactions and Investor Sentiment 

Despite the technological marvels on display, the event appears to have left some investors and experts feeling underwhelmed. One of the recurring criticisms seems to be the lack of concrete timelines and plans for the production and deployment of Tesla’s autonomous fleet. For example, Dennis Dick, reportedly an equity trader, has been quoted as summarising the sentiment of many investors, saying: “I’m a shareholder and pretty disappointed. I think the market wanted more definitive timelines. I don’t think he said much about anything.” 

Similarly, Bryant Walker Smith, a professor at the University of South Carolina, noted, “Tesla yet again claimed it is a year or two away from actual automated driving – just as the company has been claiming for a decade.” This remark highlights Tesla’s history of perhaps over-promising and under-delivering when it comes to autonomous driving capabilities.

Optimism 

Musk himself acknowledged that he often errs on the side of optimism when it comes to timelines. Yet, he maintained that Tesla’s approach, which eschews lidar in favour of a camera-based system, will ultimately be the most efficient and scalable. This approach, however, remains a point of contention among experts, with many pointing out that other companies in the autonomous vehicle race, such as Waymo and General Motors’ Cruise, have invested heavily in lidar technology, which they consider crucial for ensuring the safety and reliability of driverless cars.

Hurdles and Opportunities 

The robotaxi market, while potentially lucrative, appears to be fraught with obstacles with the establishment of a fully functional and safe fleet of autonomous vehicles looking like being no small feat. For example, Tesla’s reliance on vision-based AI, while cost-effective, faces significant challenges in terms of regulatory approval and the technology’s ability to handle complex driving environments, such as adverse weather or unpredictable pedestrian behaviour.

Despite these hurdles, Tesla’s massive fleet of electric vehicles, which already collect a wealth of driving data, gives the company a significant data advantage over rivals. KC Boyce, a vice president at data analytics firm Escalent, has been reported as commenting, “The vision-only system Tesla has chosen handicaps their capabilities versus how Waymo and Cruise have chosen to approach autonomy… Whether that data advantage is enough to close the sensor gap, I’m sceptical.” 

A Vision of the Future, But With Some Questions 

While the “We, Robot” event provided a tantalising glimpse into the future of transportation, it also raised many questions. On one hand, the promise of a $30,000 fully autonomous vehicle is certainly appealing, as is the prospect of making transportation safer, cheaper, and more efficient. Musk’s vision of a world where cars operate without human intervention could significantly alter how people live and work, offering the prospect of reclaiming valuable time spent commuting.

However, as history has shown, the road to full autonomy is long and fraught with both technical and regulatory challenges. Tesla’s vision of the future, while bold, still hinges on technological breakthroughs that have yet to be realised and on overcoming resistance from both regulators and the public.

In many ways, the “We, Robot” event could be considered to be a microcosm of Tesla’s broader strategy and a bold vision with world-changing potential, tempered by the practical realities of bringing that vision to life.

Whether the Cybercab and robovan become cornerstones of future transport or remain conceptual dreams is a question only time can answer.

Amazing Space X Rocket Return and Grab By “Chopsticks” 

While the “We, Robot” event may have left some attendees and investors underwhelmed due to its lack of concrete timelines and detailed plans, it is impossible to overlook the historic achievement made just days later by Musk’s other venture, SpaceX. On October 13, SpaceX successfully launched its fifth Starship test flight, but what truly captivated the world was the unprecedented mid-air capture of the “Super Heavy” booster rocket.

This was the first time SpaceX had managed to catch the 230-foot-tall booster using mechanical arms, nicknamed “chopsticks”, as it returned to the launch pad in Boca Chica, Texas. This groundbreaking recovery method is a crucial step towards making the Starship fully reusable, a key aspect of Musk’s vision for cost-effective and rapid space travel. As Musk himself stated, the achievement marked a “big step towards making life multiplanetary,” moving closer to SpaceX’s goal of using the Starship for moon and Mars missions in the near future.

This feat of engineering comes at a pivotal moment for SpaceX, particularly as NASA has selected the Starship for its upcoming crewed lunar missions under the Artemis programme. While Tesla’s robotaxi aspirations continue to face regulatory and technical hurdles, the extraordinary success of SpaceX in recovering the booster not only demonstrates Musk’s continued innovation but also underscores the broader vision he has for advancing humanity’s future beyond Earth.

What Does This Mean For Your Business? 

The “We, Robot” event undoubtedly provided a bold look at the future of transportation, particularly in terms of Tesla’s ambition to reshape how we think about mobility. For example, the unveiling of a $30,000 fully autonomous vehicle promises to disrupt the transport industry by making travel more accessible, safer, and more efficient. If realised, this could mark a pivotal moment in the shift towards self-driving technologies, potentially transforming how people and goods move across cities and countries. However, the event left some critical questions unanswered. Technological breakthroughs are still needed, and regulatory obstacles remain high. Tesla’s competitors, who are also racing to develop autonomous vehicles, will be watching closely. Companies such as Waymo and General Motors’ Cruise may accelerate their own efforts, sparking fierce competition in this rapidly evolving space.

For businesses and industries reliant on transportation, the potential impact of widespread autonomous driving is vast. Companies that depend on logistics, for example, could benefit from lower costs and improved efficiency, while new opportunities for services linked to mobility could emerge. However, this transition might also bring challenges, particularly for sectors like insurance and vehicle manufacturing, which may have to adapt quickly to changing demand and the reduction in human-driven vehicles.

In a broader economic sense, should Tesla succeed in making autonomous vehicles affordable, the ripple effect could extend to urban planning, employment in the transport sector, and even global supply chains. Entire industries may need to rethink their strategies in response to what could be a revolution in how transportation is managed and delivered. The knock-on effects on global economies, particularly in regions dependent on automotive industries, could be profound.

Meanwhile, the success of SpaceX in catching the Super Heavy booster rocket marked a monumental moment for Musk’s broader ambitions. While Tesla wrestles with challenges here on Earth, the achievement in space highlighted the potential for transformative change beyond our planet. This technological leap not only moves SpaceX closer to making the Starship fully reusable but also strengthens Musk’s vision of enabling human life on other planets. The success of SpaceX serves as a powerful reminder of Musk’s ability to push the boundaries of innovation across multiple industries, potentially outpacing competitors who are yet to make comparable breakthroughs.

Both Tesla’s ambitious autonomous vehicle plans, and SpaceX’s unprecedented achievements reveal a future of rapid change, not just for transportation on Earth, but potentially for space travel as well. For Tesla, its competitors, and the wider transport industry, the next few years will be crucial in determining whether this vision becomes a reality or remains a distant dream. As for SpaceX, its success signals that the future Musk envisions is not just a concept but an impending reality.

Following a recent US ruling that Google acted illegally to maintain a monopoly on its online search and the associated advertising, the US government has now proposed forcing Google to sell off parts of its business, potentially leading to the breakup of one of the world’s leading tech companies.

Antitrust Remedies – Structural Relief Suggested 

After years of investigation and following the outcome in August of a ten-week trial, a US judge delivered the landmark ruling that, “Google is a monopolist, and it has acted as one to maintain its monopoly.”  At the time, ‘structural’ remedies, i.e. ‘structural relief’ (altering the structure of a company to restore competitive conditions in a market) was one of the remedies suggested to curb Google’s anticompetitive practices (if other remedies weren’t adequate). In plain English, structural relief essentially means breaking up a company.

Sell Off Chrome Browser and Android OS? 

Following this ruling, The US Department of Justice (DoJ) and a coalition of state attorneys general have recently submitted a 32-page filing (PDF) document outlining suggested remedies to address Google’s monopolies in search and search advertising. The proposal suggests that Google could be forced to sell off key assets such as its Chrome browser and Android operating system, which the DoJ argues are used to maintain its illegal dominance.

Four Areas 

In fact, the DoJ has proposed four areas for potential remedies, which are:

1. Search distribution. The DoJ wants to limit or prohibit Google’s exclusive deals that set its search engine as the default on devices like iPhones and Android smartphones. This would reduce Google’s control over how users access search services and open the market for competition.

2. Data access and usage. This remedy would require Google to share its search data, such as search queries and results, with competitors. The goal is to prevent Google from having an unfair advantage through exclusive access to user data that can be used to improve its services. There are concerns about privacy and security risks, which Google has highlighted as a potential issue.

3. Extending search monopoly. With this issue, the DoJ is concerned that Google could use its dominance in search to extend its control to new areas, such as artificial intelligence. This proposal may prevent Google from using search data to train its AI models unless competitors have access to similar data.

4. Advertising practices. The DoJ is also targetting Google’s monopoly in digital advertising. It proposes increasing competition by forcing Google to license or syndicate its advertising platforms to other companies. This could involve changes to how Google auctions ad space, aiming to level the playing field for advertisers.

What Has Google Said In Response? 

Googles’ Lee-Anne Mulholland, Vice President, Regulatory Affairs has issued a written response online which she essentially argues that Google believes the DoJ’s proposals (which she says are “radical and sweeping”) go beyond the legal issues at hand and could have far-reaching, unintended consequences for consumers, businesses, and American technological leadership. For example, Mulholland made the following points in Google’s defence:

– In terms of privacy and security risks, Google argues that forcing it to share sensitive search data, such as queries and results, with competitors would create significant privacy and security risks. These concerns stem from the potential for bad actors to access personal data in less secure environments. Google emphasises that current strict security standards protect user data, and sharing this information with other companies could compromise this.

– In relation to the impact on AI innovation, Google is concerned that restrictions on its use of search data for training AI models would hinder American innovation. The company highlights the competitive nature of the global AI industry and argues that government intervention could skew investment and slow down the development of new technologies at a critical moment.

– On the key issue of divesting Chrome and Android, it’s not surprising that Google opposes the idea of separating Chrome and Android from its business, claiming that this would disrupt the products and their open-source nature. The company argues that Chrome and Android benefit users through security features and by keeping costs low. Splitting them off, according to Google, would make them more expensive to maintain, jeopardise security updates, and hurt competition with Apple’s ecosystem

– In relation to disruption to advertising, Google believes that changes to its advertising system would hurt small businesses and publishers that rely on its platform. It argues that its current system helps level the playing field for advertisers of all sizes and that mandated changes could reduce the value of online ads for everyone involved.

– Addressing concerns about overreach and consumer harm, Google criticises the DoJ’s proposed restrictions on search distribution contracts, arguing that these would create unnecessary friction for users trying to access information and would reduce revenue for companies like Mozilla and Android device manufacturers, potentially raising costs for consumers.

Appeal 

The DoJ’s filing is just a proposed framework of potential remedies, with a more detailed filing being due in November 2024. Google has stated that it plans to appeal the ruling in the DoJ’s antitrust case over its search monopoly. However, the exact date for Google’s appeal has not yet been set, although Google is expected to respond to the U.S. Department of Justice’s proposals by December 2024. The legal appeal process could take years before a final resolution is reached.

What Would Happen If Google Was Broken Up? 

If Google is eventually forced to sell off major parts of its business, like Android and Chrome, it would significantly impact both the company and the broader market. For example, some of the key impacts would be:

– To Google’s business. Losing Android and Chrome would dismantle Google’s integration across mobile and web platforms. Android, key to mobile search and app distribution, could fragment without Google’s resources, potentially increasing device costs and slowing updates. Chrome, which dominates the browser market, would also be less efficient without Google’s web service integration.

– The market impact. A breakup would create opportunities for competitors like Apple and Microsoft to gain market share. It would reduce anti-competitive barriers in mobile operating systems and browsers, enabling smaller players to thrive.

– Consumer and security concerns. Consumers might face fragmented services and reduced security, as Google’s current seamless integration between products could be disrupted. Google also argues that splitting off Android and Chrome could hinder innovation and security across platforms.

Didn’t Work Before With Microsoft

It should be noted here, however, that the DoJ’s attempt to break up Microsoft in 2000 failed, which showed how complex and uncertain efforts to dismantle tech giants can be. Also, subsequent attempts to limit Microsoft’s dominance, like the ineffective browser ballot in 2007, have highlighted the difficulty of regulating major companies, and Google may face similar challenges.

What About Search Evolution? 

Currently, the search market is evolving, with disruptions from AI and social media. While it may be true that Google still dominates, new technologies, such as large language models (LLMs), could weaken its hold, much like how Microsoft lost ground to Google Chrome in the browser wars. Google has, indeed, acknowledged that competition in search is growing, especially with AI transforming the landscape. This evolving market might naturally reduce Google’s dominance, potentially making a breakup less impactful over the long term.

What Does This Mean For Your Business? 

As the battle between Google and the DoJ continues, the question of whether the proposed breakup will actually happen remains uncertain. The complexities of dismantling a tech giant like Google are vast, as evidenced by previous attempts to regulate similar companies like Microsoft. While the DoJ is pushing hard for structural remedies, Google’s appeal and the lengthy legal process could stall any significant changes for years. Even if the breakup does occur, the impact might not be as transformative as expected, with AI and new technologies already shaking up the search market.

For Google, losing key assets like Android and Chrome would significantly weaken its control over the mobile and web ecosystems, making it harder to maintain the same level of integration and innovation. Competitors like Apple and Microsoft would undoubtedly benefit from the opening, gaining ground in both mobile and browser markets. However, consumers might face higher costs and fragmented services, especially if the separation affects Android’s open-source model or Chrome’s security features.

This shift could also create challenges for businesses that rely heavily on Google’s services. Many small and medium-sized enterprises depend on Google’s ad platform and tools like Google Analytics for visibility and revenue. A forced breakup could disrupt these services, raising costs or making the platforms less efficient. Similarly, businesses that develop apps for Android could face increased complexity if Android were to be handled by a different company, with potential delays in software updates and security patches affecting their operations.

At the same time, the evolving nature of search itself could change the landscape faster than any regulatory intervention. AI-driven platforms and social media are already challenging Google’s dominance, potentially rendering a breakup less impactful in the long term. Google has acknowledged that competition is intensifying, and the market could naturally shift away from its control as new technologies develop.

Ultimately, the road ahead is uncertain, and the final outcome of this antitrust case will set a precedent for future tech regulation. Whether through legal action or technological disruption, Google’s position at the top may not be as secure as it once was. The next few years will be pivotal in determining how the search market, and the broader tech industry, will evolve and how businesses that rely on Google’s ecosystem will adapt to this change.

What happens to data gathered as part of Ryanair’s extra ID verification requirement (from customers who don’t book directly through its website), has led to an inquiry being launched by Ireland’s Data Protection Commission (DPC).

Why ID Verification? 

For travellers booking flights through third-party websites or online travel agents (OTA), rather than directly through Ryanair, the Irish low-cost airline requires them to complete a Customer Verification Process. The reason, given by Ryanair, is that third-party agents sometimes provide incorrect or incomplete passenger information, e.g. fake contact or payment details, which can interfere with Ryanair’s ability to communicate important flight details directly to passengers.

Also, Ryanair has long opposed OTAs and third-party websites that sell its tickets without permission, often through “screen scraping” techniques. This practice involves OTAs gathering flight data from Ryanair’s website and reselling tickets, sometimes at inflated prices. Ryanair argues that this is what leads to the incorrect information being given to it, and to poor customer experiences. For example, in July 2024, a US court ruled against Booking.com in a screen-scraping case, reinforcing Ryanair’s stance. The airline, therefore, urges customers to book directly through its site to avoid such issues and ensure proper communication and service.

What Type of ID Verification Does Ryanair Require? 

Ryanair offers travellers two verification options when they attempt to book flights through OTAs and third-party websites. These are:

– Express verification. This (faster option) actually uses facial recognition technology to confirm the traveller’s identity. It costs around €/£0.59 and can be completed in a few minutes with the use of a passport or national ID and a device with a camera.

– Standard Verification. This is the free alternative where travellers submit a signed customer verification form along with their ID. However, this method can take up to seven days to process, so it’s not ideal for last-minute bookings.

Why The DPC Inquiry? 

It seems, however, that aspects of Ryanair’s ID verification requirement have led to scrutiny, particularly concerning the use of facial recognition and compliance with GDPR regulations.

On October 4, Ireland’s DPC announced that it had opened an inquiry into Ryanair’s processing of personal data as part of the Customer Verification Processes in question. Graham Doyle, Deputy Commissioner with the DPC commented: “The DPC has received numerous complaints from Ryanair customers across the EU/EEA who after booking their flights were subsequently required to undergo a verification process. The verification methods used by Ryanair included the use of facial recognition technology using customers’ biometric data. This inquiry will consider whether Ryanair’s use of its verification methods complies with the GDPR.” 

Data Processing  

The DPC said the decision to conduct the inquiry under Section 110 of the Data Protection Act 2018[2], taken by the Commissioners for Data Protection, Dr. Des Hogan and Dale Sunderland, “was notified to Ryanair earlier this week”. The DPC has also said the inquiry is “cross-border [3] in nature” (reportedly, with one other country) and “will consider whether Ryanair has complied with its various obligations under the GDPR, including the lawfulness and transparency of the data processing”. 

Considering Ryanair is an international airline, it’s perhaps not surprising that there’s a cross-border nature to the inquiry. Looking at the wider meaning of DPC’s statement about the inquiry, it looks likely that it will assess whether Ryanair’s data processing practices comply with the GDPR, particularly focusing on key areas like lawfulness (whether Ryanair had a legitimate basis to collect and use passengers’ data) and transparency (whether passengers were adequately informed about how their data would be used). This scrutiny is often triggered when there are concerns over how personal data, including sensitive information such as biometric data, is handled, especially given Ryanair’s use of facial recognition technology during its verification process.

What Does Ryanair Say? 

A Ryanair spokesperson has been (widely) quoted as saying: “We welcome this DPC inquiry into our Booking Verification process, which protects customers from those few remaining non-approved OTAs, who provide fake customer contact and payment details to cover up the fact that they are overcharging and scamming consumers. 

“Customers who book through these unauthorised OTAs are required to complete a simple verification process (either biometric or a digital verification form) both of which fully comply with GDPR. This verification ensures that these passengers make the necessary security declarations and receive directly all safety and regulatory protocols required when travelling, as legally required.” 

What Does This Mean For Your Business? 

The inquiry into Ryanair’s third-party booking verification process not only places the airline under scrutiny but also raises significant questions for the wider aviation industry. As data protection laws like the GDPR continue to evolve, airlines worldwide must carefully consider how they collect, process, and store customer data, particularly when it comes to sensitive biometric information. It’s worth remembering that this case relates to the use of acial recognition just at the booking stage, not at passport control, and with the DPC examining whether Ryanair’s use of facial recognition and other data practices comply with GDPR, this case could set a precedent that impacts other airlines, potentially forcing them to reassess their own data handling processes to avoid similar regulatory challenges.

For Ryanair’s competitors, should the DPC find Ryanair’s practices in breach of GDPR, it might prompt a broader review of data collection methods across the industry. Airlines that rely on similar verification processes, or those planning to introduce biometric solutions, may need to quickly adapt to ensure compliance. On the other hand, airlines with more traditional booking and verification systems could use this moment to differentiate themselves by emphasising stronger privacy protections and more transparent data use.

From a customer perspective, the inquiry highlights growing concerns about privacy and the use of personal data in an increasingly digital world. As biometric technology becomes more common in verification and security processes, passengers are becoming more aware of how their data is used and protected. Trust, transparency, and a clear explanation of how personal data is processed may become critical factors in how customers choose which airline to fly with. Airlines that successfully balance security with privacy may gain a competitive advantage, particularly in an industry where reputation and customer loyalty are so crucial.

Ultimately, the outcome of this inquiry may have some far-reaching consequences, not only for Ryanair but for the aviation sector as a whole. This case is a reminder that data protection is now a key pillar of operational strategy, and one that cannot be overlooked in the drive to enhance customer security and streamline digital processes. The industry will be watching closely to see how Ryanair navigates these regulatory waters and what this means for the future of data handling in the aviation world.

The U.S. National Labour Relations Board (NLRB) has accused Apple of restricting employees’ rights to advocate for better conditions by limiting their use of social media and Slack and retaliating against those who raised concerns.

The NLRB’s allegations, filed this month, focus on Apple’s work rules regarding Slack and social media use. Apple, which introduced Slack to its employees several years ago, saw the platform grow as a key tool for workers to discuss workplace concerns, particularly during the COVID-19 pandemic. However, the NLRB says that Apple has since imposed restrictions on how workers can use the platform, undermining their ability to freely advocate for better working conditions.

The NLRB claims that Apple maintained illegal policies, including restricting the creation of new Slack channels without management’s approval and requiring employees to report workplace concerns directly to a manager or designated support team. The complaint also includes accusations of Apple sacking an employee for workplace activism and pressuring another to delete a social media post, actions which the NLRB claims violate labour laws.

The complaint is part of a broader pattern, with Apple facing a similar NLRB complaint just a week earlier, accusing it of enforcing overly broad confidentiality, nondisclosure, and noncompete agreements that limited workers’ rights. In both cases, Apple has denied the accusations. An Apple spokesperson is reported as saying that Apple is committed to providing “a positive and inclusive workplace”, takes employee concerns seriously, and strongly disagrees with the NLRB’s claims.

The current case stems from a 2021 complaint filed by former Apple employee Janneke Parrish, who claims she was sacked in retaliation for her role in workplace activism. Parrish had used Slack and social media to organise efforts around remote work, pay equity, and discrimination at Apple. Parrish’s lawyer argues that Apple engaged in “extensive violations” of workers’ rights, asserting that employees were punished for raising critical workplace issues, particularly around gender and racial discrimination.

If Apple and the NLRB can’t reach a settlement on the matter, it looks likely that the case will go to a hearing before an administrative judge in February. The outcome of the hearing could set a significant precedent for the rights of employees in the tech industry, with broader implications for how companies handle worker communication and activism.

China-backed hackers have breached the wiretap systems of several major U.S. telecom and internet providers, exposing critical vulnerabilities and likely collecting vast amounts of internet traffic to gather intelligence on Americans.

These wiretap systems, required by the 1994 Communications Assistance for Law Enforcement Act (CALEA), grant authorised personnel (e.g. law enforcement agencies) almost unfettered access to user data, including internet traffic and browsing histories. However, these systems have long been viewed as security risks, with experts warning of their potential misuse. For example, Georgetown Law professor Matt Blaze called the breach “inevitable,” highlighting the inherent dangers of building backdoors meant for lawful purposes, which are prone to exploitation by malicious actors.

The Wall Street Journal recently reported that the hacking group, known as ‘Salt Typhoon’, breached at least three of the largest U.S. providers – AT&T, Lumen, and Verizon – to access these systems. While the full extent of the damage remains unclear, some US national security sources have described the breach as potentially catastrophic. The hackers are thought to be positioning for future cyberattacks, possibly as part of tensions between the U.S. and China over Taiwan. The breach has reignited debate over the risks of government-mandated backdoors, with experts like Stanford’s Riana Pfefferkorn pointing out that such systems “jeopardise” rather than protect users.

The revelations come amidst growing global concern over government backdoors and encryption, with other countries, including those in the EU, also considering legislation that could weaken digital security. Signal president Meredith Whittaker echoed warnings that “there’s no way to build a backdoor that only the ‘good guys’ can use,” underscoring the wider implications of the breach.

To guard against the risk of such attacks, the advice for businesses is to use strong encryption, limit data access to the minimum necessary personnel, and continuously review and update security practices to close potential vulnerabilities in systems.

Paris-based biotech startup BaCta, which has just secured €3.3 million in funding, produces natural rubber using genetically engineered bacteria, thereby offering a sustainable alternative to traditional rubber sources and synthetic, petroleum-based versions.

What’s The Problem With How We Get Rubber Now? 

The current methods of rubber production present several significant environmental and sustainability issues. Synthetic rubber, which makes up about half of the global supply, is derived from petroleum-based chemicals. This process is highly energy-intensive and contributes heavily to CO2 emissions, exacerbating climate change. Also, synthetic rubber is non-biodegradable, meaning it persists in the environment, adding to the growing issue of plastic waste pollution.

Natural rubber, sourced from Hevea trees, is also not without its problems. While it may seem more environmentally friendly, the growing demand for rubber has driven deforestation in tropical regions, where land is cleared for plantations. This not only destroys vital ecosystems and reduces biodiversity but also releases significant amounts of carbon stored in trees and soil, further worsening climate change. Also, these rubber plantations are typically monocultures, which can degrade soil health and make crops more vulnerable to pests and disease.

Both forms of rubber production are under increasing pressure as manufacturers face stricter emissions regulations. The deforestation linked to natural rubber and the reliance on petrochemicals for synthetic rubber are incompatible with global sustainability goals. The industry also often suffers from supply chain instability, compounded by climate change and socio-political issues in rubber-producing regions.

Factors such as these have led to growing interest in alternatives like BaCta’s bioengineered rubber, which aims to offer a carbon-neutral, renewable solution that mitigates the environmental and ethical concerns associated with traditional rubber production.

How Does BaCta Make Rubber From Bacteria? 

BaCta produces rubber using genetically engineered bacteria, specifically Escherichia coli. The process begins by feeding these bacteria a renewable feedstock, such as glucose, acetate, or even carbon directly captured from the atmosphere. Inside the bacteria, AI-designed enzymes transform the carbon source into isoprene, the key building block of rubber. The bacteria then polymerise the isoprene into natural rubber through a unique synthetic pathway. The resulting synthetic rubber is then extracted and purified. This method allows BaCta to create high-quality, carbon-neutral rubber without the environmental downsides of traditional methods, such as deforestation or petrochemical dependence.

Benefits 

BaCta’s synthetic rubber offers several key benefits. For example:

– Carbon neutrality. The production process is designed to be carbon-neutral, and potentially even carbon-negative, significantly reducing the carbon footprint compared to traditional rubber production. BaCta says on its website that not using traditional rubber could mean, “More than 500 million tons eqCO2 could be removed every year”.

– It uses renewable feedstock. BaCta uses renewable sources like glucose, acetate, and carbon in its synthetic rubber production, thereby avoiding reliance on petroleum (used in synthetic rubber) or deforestation (linked to natural rubber).

– It’s hypoallergenic. By engineering the bacteria to remove specific proteins found in natural rubber (sap), BaCta’s rubber can be hypoallergenic, reducing the risk of allergic reactions.

– It’s sustainable. The process avoids the environmental issues of deforestation and land degradation associated with rubber plantations, making it a more sustainable option.

– It’s high quality. BaCta says its material is, “Superior quality Long chain, ultra-low impurity content, hypoallergenic rubber”. 

– Cost competitiveness. BaCta aims to produce rubber at a price point that’s competitive with conventional rubber (at a “fixed price, no fluctuation, no uncertainty”), while delivering environmental benefits.

Has A Functioning ‘Proof of Concept’ 

BaCta has moved beyond the conceptual stage and already has a functioning proof of concept (PoC) for producing natural rubber using the engineered bacteria. That said, although company has successfully demonstrated the process in the lab, it is still in the early stages of scaling up production. Currently, BaCta is working on increasing its output, aiming to move from laboratory-scale production (milligrams of rubber) to industrial levels, with the next step being a pilot-scale operation involving larger fermenters.

Funding 

The company recently secured €3.3 million in funding from investors including OVNI Capital, Kima Ventures, and several business angels. This funding is intended to support the scale-up process, helping BaCta transition from producing small batches to larger quantities needed for commercial use.

Rubber For What?

Initially, BaCta plans to start by targeting the luxury fashion industry, e.g. for use in the manufacture of premium shoes and bags, which requires smaller amounts of high-quality rubber, before expanding into more industrial applications.

What Does This Mean For Your Organisation? 

BaCta’s innovative approach to rubber production could have far-reaching implications for the many industries that rely heavily on rubber. From automotive manufacturers, which use rubber for tyres, seals, and various components, to healthcare sectors that depend on rubber for gloves, tubing, and other essential products, the potential applications of BaCta’s sustainable rubber are vast. Although BaCta’s initial target is businesses in the fashion industry, by providing a carbon-neutral, renewable alternative to traditional rubber, BaCta can potentially offer businesses in many industries a chance to significantly reduce their environmental impact. This is especially important as industries face mounting pressure to meet stringent emissions regulations and consumer demand for sustainable products.

For businesses, switching to BaCta’s bioengineered rubber could mean not only reducing their carbon footprints but also gaining a competitive edge in a marketplace that increasingly values eco-friendly practices. With its ability to produce hypoallergenic, high-quality rubber that is cost-competitive with traditional options, BaCta’s product could easily replace conventional rubber without sacrificing performance or cost efficiency. Also, as supply chain disruptions and resource scarcity become more prevalent due to climate change, BaCta’s method, which bypasses the need for deforestation and petrochemicals, presents a more stable and sustainable alternative.

As BaCta scales up its production, it could also help businesses mitigate the risks associated with the volatility of traditional rubber supply chains, which are often subject to geopolitical tensions and environmental degradation. If widely adopted, this new form of rubber could lead to a significant reduction in global CO2 emissions and deforestation, offering industries a pathway to sustainable growth while aligning with global climate goals. BaCta’s synthetic rubber could, therefore, reshape the future of rubber-reliant industries, making sustainability a reality.

This video tutorial suggest five ideas to give better prompts to generative AI, resulting in better and more accurate results.

[Note – To Watch This Video without glitches/interruptions, It’s best to download it first].

The Virtual Keyboard can be a lifesaver if your physical keyboard is malfunctioning or unavailable, allowing you to type directly on the screen with your mouse or touchscreen. Here’s how to access it:

To Enable the Virtual Keyboard

– Press Win + S and type ‘On-Screen Keyboard’, then select the app from the search results.

Use the Virtual Keyboard

– A keyboard will appear on your screen, allowing you to type using your mouse or by tapping the screen (if your device is touchscreen-enabled).

– This feature is helpful when you’re working remotely or troubleshooting hardware issues.

Following California Governor Gavin Newsom vetoing a landmark AI safety bill aimed at regulating the development and deployment of advanced AI systems, we look at the reasons why it was blocked and the implications of doing so.

What Bill? 

US Senate ‘Bill 1047’ relates to regulating AI systems with the focus specifically around frontier AI models (highly advanced/cutting edge and large) with the potential for large-scale impact.

California

The fact that California is home to major AI companies like OpenAI (which also partners with Microsoft), and its governor vetoed it, means there are implications for the future of AI governance and industry practices worldwide. For example, Gavin Newsom said in his statement about the bill “California is home to 32 of the world’s 50 leading Al companies, pioneers in one of the most significant technological advances in modern history”. 

The Key Points 

The key points of the bill were:

– Risk mitigation for frontier AI models. The bill targeted large AI systems, particularly those that required significant computational power to develop (at least 10^26 FLOPS). It required companies developing such systems to implement safeguards to prevent catastrophic harm, including the misuse of AI for creating weapons of mass destruction, committing serious crimes like murder, or launching cyberattacks that could cause significant damage (e.g. over $500 million).

– A “kill switch requirement”. Under the bill, developers would have been required to implement a “kill switch” mechanism to immediately halt the operations of AI models if they posed a threat, during both training and usage.

– Cybersecurity measures. Companies were required to have strict cybersecurity protocols in place to prevent the unauthorised use or modification of these powerful AI systems.

– Oversight and reporting. The bill proposed the creation of a “Board of Frontier Models”, a new state entity, to oversee the compliance of these companies with the safety measures. Regular audits and detailed reports on safety protocols were part of the requirements.

– Whistleblower protections. The bill also included protections for employees who reported non-compliance within their organisations.

Opposition From Big Tech Companies 

Major tech companies, including OpenAI, Google, and Meta, strongly opposed the bill, arguing that the regulations could significantly slow down innovation and hinder the deployment of beneficial AI technologies. With these companies being invested heavily in the development of AI, viewing it as a key future revenue source, it’s perhaps not surprising that they saw the bill as a threat to that potential. Also, there were concerns within the tech community that open-source AI models, which often rely on collaborative, decentralised development, could face legal liabilities under the bill’s stringent requirements. This risk, they argued, could discourage further development of open-source AI, which has been an important driver of innovation in the field. The tech giants feared that the bill’s overly strict regulations could stifle growth and limit the industry’s ability to remain competitive globally.

Why Was The Bill Vetoed By Newsom? 

In an official statement, the California state governor gave the following main reasons for blocking the bill:

– An overly narrow focus. Newsom argued that the bill only targeted large, expensive AI models based on their computational scale and costs, which could give a false sense of security. He pointed out that smaller, specialised models could pose similar risks but were not covered by the bill.

– A lack of adaptability. The governor emphasised that AI is evolving rapidly, and the bill’s framework was too rigid, not allowing flexibility to adapt to technological advancements. He stressed that regulation needs to be able to keep pace with innovation.

– It ignored deployment context. Newsom criticised SB 1047 for failing to consider where and how AI models are used, whether in high-risk environments or for critical decision-making, arguing that this oversight made the regulation less effective.

– The potential for stifling of innovation. He also expressed concern that the bill could curtail innovation by applying stringent standards to even basic AI systems, which may inhibit the development of AI technologies that benefit the public.

– A lack of empirical evidence. Newsom insisted that any AI regulation must be based on empirical evidence and analysis of AI systems’ actual risks and capabilities. He argued that SB 1047 lacked this necessary foundation.

– Preference for broader collaboration. Instead of a California-only approach, Newsom said he favoured working with federal partners, experts, and institutions to craft a balanced and informed AI regulatory framework.

The Response 

Although Newsom’s blockage of the bill may have pleased the big AI companies, not everyone was happy about it. For example, California state Senator Scott Wiener, who represents the 11th district, encompassing San Francisco and parts of San Mateo County, has strongly criticised Governor Newsom’s decision to veto Senate Bill 1047. In a press release, Mr Wiener expressed deep concern about the implications for public safety and AI regulation, arguing that that the bill was designed to introduce commonsense safeguards to protect the public from significant risks posed by advanced AI systems, such as cyberattacks, the creation of biological or chemical weapons, and other harmful applications.

He emphasised that while AI labs have made commitments to monitor and mitigate these risks, voluntary actions are not enforceable, making binding regulation crucial. Senator Wiener said, “This veto leaves us with the troubling reality that companies aiming to create an extremely powerful technology face no binding restrictions from U.S. policymakers,” highlighting the lack of meaningful federal regulation as a critical issue.

Wiener also dismissed the claim that SB 1047 was not based on empirical evidence, calling it “patently absurd,” given that the bill was crafted with input from leading AI experts. Mr Wiener has made it clear that he views the veto as a missed opportunity for California to lead on innovative tech regulation, similar to past actions on data privacy and net neutrality, saying, “We are all less safe as a result.”

However, despite the setback, Wiener expressed hope that the debate has advanced the issue of AI safety globally and vowed to continue working towards effective AI regulation.

Ever-Present AI? 

Newsom’s vetoing of the bill comes at the same time as Microsoft’s head of AI, Mustafa Suleyman, saying that he believes that (AI) assistants with a “really good long-term memory” are just a year away in development. Suleyman’s comments refer to “ever present, persistent, very capable co-pilot companions in your everyday life”, which aligns with the idea of the view of many that to make AI truly useful / to leverage the full benefits of AI, integration is necessary. For example, an AI assistant can only organise your schedule if it has full access to your diary and remembers past interactions.

This concept of deeply integrated AI assistants actually ties directly into the debate around Senate Bill 1047, which Governor Gavin Newsom recently vetoed. The bill sought to regulate advanced AI systems, ensuring safety protocols for powerful models. As ever-present AI systems become more common, the absence of legislation like SB 1047 leaves critical questions about how these systems will be governed. Newsom’s veto reflects ongoing concerns about stifling innovation, yet it also leaves unresolved issues around privacy, security, and the unchecked expansion of AI into daily life, which these emerging technologies are set to accelerate. It can be argued, therefore, that without comprehensive safeguards, the integration of AI into personal and professional spaces may pose significant risks, e.g. data security and privacy, not to mention the risk of AI tools giving incorrect information or advice or displaying inbuilt bias towards the user they are supposed to be helping.

Six-Fingered Gloves 

In a strange but related aside, a Finnish startup, Saidot, recently sent ominous six-fingered gloves to global tech leaders (including OpenAI’s Sam Altman) and EU politicians (and the UK Prime Minister) as a symbolic warning of AI dangers, particularly highlighting how image generators sometimes produce flawed outputs, like extra fingers. The gesture was aimed at raising awareness about the fast-evolving and unpredictable nature of AI, which could lead to unexpected consequences. Saidot’s CCO and co-founder, Veera Siivonen, said: “AI is developing so fast that nobody can fully anticipate its impacts and the emerging risks” and “That’s why we want to highlight both the steps that have been taken forward for safer AI, as well as some of the steps that should be taken.” 

Saidot’s point aligns with the concerns surrounding the vetoed Senate Bill 1047, which sought to regulate AI technologies to prevent potential harm. As AI continues to develop rapidly, the failure to enact regulatory frameworks could leave many dangers inadequately managed.

What Does This Mean For Your Business? 

The veto of Senate Bill 1047 by California State Governor Newsom highlights the need for achieving a delicate balance between promoting technological innovation and ensuring public safety. While the bill aimed to introduce necessary safeguards for advanced AI systems, its rejection shows the tension between regulation and the tech industry’s drive for unfettered progress. Newsom’s decision reflects the belief (particularly by the AI companies themselves) that overly rigid laws could stifle the rapid advancements in AI, which are viewed as essential for maintaining California’s competitive edge in the global tech landscape.

However, this move has also left a significant gap in AI governance. With AI systems becoming increasingly integrated into daily life (e.g. with the prospect of ‘ever-present’ AI as predicted by Microsoft), concerns about privacy, security, and potential misuse are mounting. The absence of comprehensive legislation leaves many of these issues unresolved, especially as the technology continues to evolve at an unprecedented pace. As argued by proponents of the bill, such as Senator Wiener, voluntary measures by AI companies may be insufficient and binding regulations are what’s really needed to protect society from potential harms, including cybersecurity risks and the creation of dangerous AI applications.

As AI continues to develop, the debate over how to effectively regulate it is far from over. The blocking of this bill may have slowed the momentum for immediate regulation, but it has also pushed the conversation forward. Looking ahead, policymakers, industry leaders, and experts will now need to collaborate on creating flexible yet effective frameworks that can both foster innovation and mitigate the risks associated with these powerful technologies.

For business users, the vetoing of Senate Bill 1047 and what would have been its wider effects means continued uncertainty around AI governance, leaving them reliant on voluntary safety measures from tech companies. While this may enable faster deployment of AI tools that enhance efficiency and innovation, for businesses it also raises risks. Without clear regulatory frameworks, businesses may face greater legal and ethical challenges, especially in areas like data security and AI accountability. For companies looking to integrate AI, the current absence of stringent safety measures could present both opportunities and risks as AI systems become more ingrained in business operations.

Search technology has transformed significantly from text-based queries back in the nineties to now, where there’s a wide range of interactive methods like voice, visual, and AI-driven tools. Here, we look at how these advancements are reshaping the way we search, with a focus on the latest innovations and trends in the search landscape.

The Changing Landscape of Search 

Search technology is currently undergoing a rapid transformation, driven by fierce competition between major tech companies like Google, Microsoft, and Amazon. While Google remains the dominant force (processing over 8.5 billion searches per day), other players are innovating and closing the gap by integrating advanced AI capabilities and new features. Microsoft’s Bing AI is increasingly incorporating AI-driven results to enhance search relevance, while Amazon focuses on evolving its product search and recommendation algorithms, positioning itself as a major contender in the e-commerce space.

The Way We Search Is Changing 

The way we search is also evolving. Voice search is becoming more prominent, with predictions suggesting that it will account for 30 per cent of all browsing sessions by 2030. Simultaneously, visual search, powered by technologies like augmented reality (AR) and image recognition, is emerging as one of the fastest-growing areas in search technology. These innovations are fundamentally changing user behaviour, as people move from traditional text searches towards more interactive and immersive experiences.

Competition Driving The Change 

The competition between these tech giants is intensifying, with each company striving to create the most seamless, intuitive, and user-friendly search tools. This has led to the development of AI-powered chatbots, AR search experiences, and personalised recommendations that are reshaping the way users interact with search engines.

Now, we’re going to take a brief look at the many types of searches currently available, each offering unique ways to access information and interact with the digital world.

Text Search 

Text search remains the most widely used and traditional search method, where users input keywords or phrases into a search bar on platforms like Google. Whether on desktop, mobile, or the Google app, this type of search allows users to retrieve vast amounts of information based on specific queries. It’s the backbone of modern search engines and is complemented by additional tools that enhance precision, such as advanced search operators.

Voice Search 

With the rise of smart devices, voice search has become increasingly popular. Users can activate searches using voice commands by simply saying “Hey Google” on Android devices or through other assistants like Amazon Alexa or Apple’s Siri. Voice search allows users to ask questions, perform searches, or control their devices completely hands-free. This is particularly useful when multitasking or when typing isn’t practical, and the technology has greatly improved around understanding natural language and context.

Visual Search with Google Lens 

Visual search, led by Google Lens, allows users to search using their smartphone camera. By pointing their camera at an object, text, or scene, users can instantly receive information about it, find similar products, or even translate text in real-time. Google Lens has opened new possibilities, allowing people to search for objects they don’t know the name of but can see. For example, by scanning a plant or an animal, users can identify the species instantly. This tool reflects how search is becoming more intuitive and integrated into everyday experiences.

Google’s New Video Search 

Google is further innovating with its new Video Search feature, which allows users to point their camera at an object or scene, ask a question about it, and receive search results in real-time. This feature enables deeper interaction with the physical world, allowing people to get information on what they are seeing, whether it’s a historical building, a piece of art, or even a consumer product. This development is part of a growing trend where the boundaries between the digital and physical worlds blur, making search more accessible and context-driven.

Image Search 

Image search has evolved to allow users to perform reverse image searches, primarily through Google Images. Users can upload an image or drag and drop it into the search bar to find similar images, verify the source, or learn more about the content. This is particularly useful for identifying things like locations, people, or products based on an image alone. It’s a key tool for anyone needing to trace visual content across the web.

Multisearch (Combining Text and Image) 

Multisearch is an innovative approach that allows users to combine text and image input into a single query. This is ideal for instances where an image alone doesn’t provide enough detail. For example, users can upload a photo of a product and then add specific descriptors such as colour, brand, or style to refine the search. This combination enhances accuracy, especially when searching for specific items or variations that aren’t immediately obvious from an image alone.

Video Search (YouTube and Google Video Tabs) 

Search has become more multimedia-focused, and video search is a huge part of this shift. On Google, users can switch to the “Videos” tab to find relevant content from platforms like YouTube, Vimeo, or other video-based sources. YouTube itself offers an internal search function, supporting both text and voice searches, allowing users to locate tutorials, entertainment, or educational videos based on their interests. As more content shifts to video formats, this type of search is becoming an essential tool for users.

Maps Search 

Google Maps supports location-based searches, allowing users to find businesses, services, and landmarks in a specific area. With text or voice input, users can search for restaurants, shops, or attractions, while accessing additional features like reviews, photos, and directions. This has become an essential tool for daily life, integrating geographic data with business information, helping people navigate their world with ease.

Hum to Search

If you’re thinking of a song, Google allows you to hum, whistle, or sing the melody, and it can identify the song for you. Note, we have largely focused on Google for this text, although there are other specific platforms that allow users to search for specific sounds to identify their origin, such as identifying a species of bird via its birdsong (e.g. BirdNET or ChirpOMatic). Other specialist platforms doubtless exist for other animals and/or sources of noise.

Shopping Search 

Google Shopping is another popular tool, helping users compare products, prices, and store availability. This search method is increasingly tied to AR (Augmented Reality) tools, where users can visualise products in their space before purchasing. Shoppers can now search for items, filter results based on price, location, or store, and even see product reviews and specifications. The combination of search with AR enhances the shopping experience, making it more immersive and informed.

In-App Search on Mobile Devices 

On Android devices, in-app search allows users to locate content within specific apps directly from the Google search app. This includes finding emails, documents, or social media posts without switching between apps. It’s an efficient way to manage information across multiple platforms, ensuring users can access relevant data without leaving the search interface.

AR Search for 3D Objects 

Augmented Reality (AR) Search has become a notable development, particularly in fields like education and e-commerce. Using Google AR, users can view 3D models of search results, such as animals, historical artifacts, or even products. This type of search is highly interactive, allowing people to see life-like models of objects in their real environment, enhancing the depth of the search experience.

Discover (Content Recommendations) 

Google Discover shifts the search paradigm by offering content without the need for a direct query. This feature curates articles, videos, and other content based on a user’s interests and search history, presenting it in a personalised feed. It’s a proactive search tool, constantly updating to present users with new and relevant content as their interests evolve.

AI-Powered Search Using Chatbots 

AI chatbots, such as ChatGPT, Bard, and Bing Chat, have revolutionised search by offering conversational interfaces. Rather than simply retrieving links, these chatbots can generate detailed responses, summarise information, and offer personalised recommendations. For example, users can ask ChatGPT to find information on a specific topic and receive a coherent, natural-language answer, instead of browsing through multiple web pages. These AI tools are rapidly improving, offering new ways to search, especially for more complex, nuanced questions that traditional search engines might struggle with.

What Does This Mean For Your Business? 

The ongoing evolution of search technology presents both opportunities and challenges for businesses aiming to stay visible in this increasingly diverse landscape. As the methods people use to search diversify, companies must adapt their strategies to ensure they can still be easily found across all platforms and search types. It’s no longer enough to rely solely on traditional SEO tactics focused on text-based searches. To maintain or enhance their visibility, businesses now need to consider how they are appearing in voice, visual, and AI-driven searches, as well as adapting to the rise of augmented reality and interactive search experiences.

Voice search, in particular, has significant implications for businesses. As more users turn to devices like smart speakers and mobile assistants to ask questions and perform searches, optimising for voice queries is becoming more important. Voice searches tend to be more conversational and question-based, which means businesses need to adapt their content strategies to capture these queries effectively. For example, having concise, easily digestible answers to common questions about their products or services can help businesses rank higher in voice search results.

Similarly, visual search tools like Google Lens and augmented reality searches are transforming how consumers discover products. Retailers and brands need to ensure that their product images are optimised for visual search. High-quality visuals, detailed metadata, and clear product descriptions can help ensure that when users point their cameras at a product, the brand’s offering appears in search results. Also, augmented reality features, such as those in Google Shopping, allow consumers to visualise products in their environment before purchasing. Businesses that invest in AR-ready content and experiences can now tap into a growing consumer base that values immersive, real-time interactions.

The growing importance of AI-powered chatbots in search also means businesses will need to rethink how they engage with potential customers. AI tools like ChatGPT and Bing Chat provide more in-depth, conversational responses, making it essential for businesses to have well-structured and informative content that these systems can draw from. This means producing detailed yet user-friendly content that provides value and can be referenced by AI systems to give consumers the answers they seek.

For businesses operating in local markets, optimising for Google Maps and local searches is critical. Consumers increasingly rely on location-based searches to find services, restaurants, shops, and more. Ensuring that business listings are accurate, up to date, and include reviews, photos, and essential details is key to capturing local search traffic. Furthermore, investing in local SEO strategies to appear in voice searches for location-based queries will become increasingly important as consumers use voice assistants to find nearby services.