Apple’s iPhone 16 will not be available for sale in Indonesia after the tech company failed to meet the country’s local content requirements. According to the Indonesian industry ministry, smartphones sold domestically must contain at least 40% locally made components, a threshold the iPhone 16 did not meet. Ministry spokesperson Febri Hendri Antoni Arief confirmed that while imports of the device for personal use are permitted if proper taxes are paid, Apple has not secured the necessary local content certification to market the phone widely in Indonesia.
Apple’s absence from the market could give a further edge to leading competitors OPPO and Samsung, who hold the top two positions in Indonesia’s smartphone market. The country’s large, tech-savvy population makes it a critical market for tech investment, and Indonesian officials have encouraged Apple to partner with domestic firms to meet local content requirements.
While Apple has no manufacturing plants in Indonesia, it has invested in app developer academies since 2018, amounting to around $101.8 million to support local talent and development.
Lyft has been fined $2.1M by the US Federal Trade Commission (FTC) for allegedly misleading drivers about potential earnings. The settlement requires the rideshare company to adjust how it advertises driver pay, after it was found that earnings claims were exaggerated, often highlighting what only the top fifth of drivers made, and including tips in those figures.
The FTC stated that some Lyft ads claimed drivers could make ‘up to $33’ per hour in certain cities in the US, such as Atlanta, but these figures did not reflect average earnings. Instead, most drivers earned significantly less, with advertised pay inflated by as much as 30%. As part of the settlement, Lyft must now base earnings estimates on what typical drivers make, excluding tips from hourly pay claims.
In addition, Lyft’s guarantees, such as a $975 payout for completing 45 rides over a weekend, were found to be misleading. Drivers believed the amount would be a bonus, but it was actually a conditional minimum guarantee. The FTC stressed the need for accurate representation of driver pay, with Chair Lina M. Khan emphasising the agency’s commitment to protecting workers from deceptive claims.
A radio station in Krakow, Poland, has ignited controversy by replacing its human journalists with AI-generated presenters, marking what it claims to be ‘the first experiment in Poland.’ OFF Radio Krakow relaunched this week after laying off its staff, introducing virtual avatars aimed at engaging younger audiences on cultural, social, and LGBTQ+ topics.
The move has faced significant backlash, particularly from former journalist Mateusz Demski, who penned an open letter warning that this shift could set a dangerous precedent for job losses in the media and creative sectors. His petition against the change quickly gathered over 15,000 signatures, highlighting widespread public concern about the implications of using AI in broadcasting.
Station head Marcin Pulit defended the layoffs, stating that they were due to the station’s low listenership rather than the introduction of AI. However, Deputy Prime Minister Krzysztof Gawkowski called for regulations on AI usage, emphasising the need to establish boundaries for its application in media.
On its first day back on air, the station featured an AI-generated interview with the late Polish poet Wisława Szymborska. Michał Rusinek, president of the Wisława Szymborska Foundation, expressed support for the project, suggesting that the poet would have found the use of her name in this context humorous. As OFF Radio Krakow ventures into this new territory, discussions around the role of AI in journalism and its effects on employment are intensifying.
AI tools were introduced at Everest PR to streamline tasks, but the results were not as expected. Founder Anurag Garg noticed that instead of boosting efficiency, the technology created additional stress. His team reported that using AI tools like ChatGPT was time-consuming and added new complexities, leading to frustration and burnout.
Garg’s team struggled to keep up with frequent software updates and found that managing multiple AI platforms made their work harder. This sentiment is echoed in surveys showing many workers feel AI tools increase their workloads rather than reduce them. A study revealed that 61% believe AI will increase their chances of burnout, with the figure rising to 87% among younger workers.
Even legal professionals are feeling overwhelmed by AI’s impact on their workloads. Leah Steele, a coach for lawyers, explained that tech-driven environments often lead to reduced job satisfaction and fear of redundancy. The Law Society also highlights the challenges of implementing AI, emphasising that learning new tools requires time and effort, which can add pressure rather than alleviate it.
While some argue that AI can empower small firms by enhancing productivity, others stress the need for proper usage to prevent overwhelm. Garg has now reduced his team’s reliance on AI, finding that a more selective approach has improved employee well-being and reconnected them with their work.
Zoom has announced a partnership with Suki, a leading AI medical scribe provider, to offer doctors on its platform an AI-powered tool that automates note-taking during telehealth visits. With Zoom accounting for over a third of telehealth appointments in the US, this move aims to help clinicians reduce time spent on paperwork, improving efficiency during virtual consultations.
The partnership marks Zoom’s shift from solely being a video-conferencing company to integrating AI tools designed for workplace efficiency, a vision supported by its CEO, Eric Yuan. Suki was selected after Zoom evaluated other AI medical scribe startups, further boosting Suki’s presence after raising $70M in funding earlier this month.
This development highlights a broader trend in healthcare, with companies like Amazon’s One Medical and Microsoft’s Nuance also leveraging AI for medical note-taking, helping providers manage documentation more effectively. Despite growing competition, investors believe there is still room for specialised AI solutions in both large healthcare systems and smaller medical practices.
OpenAI has appointed Aaron Chatterji as its first chief economist. Chatterji, a professor at Duke University and former chief economist at the US Commerce Department, will lead research on the economic impact of AI technologies. His focus will include AI’s potential influence on economic growth and employment trends.
Chatterji played a key role in coordinating the Biden administration’s implementation of the 2022 CHIPS Act, which allocated $280 billion towards developing the country’s semiconductor industry. His expertise and political network could benefit OpenAI as it explores designing chips internally.
The announcement also included another significant hire, with Scott Schools joining as chief compliance officer. Schools, previously at Uber and a former associate deputy attorney general, will oversee legal compliance and ethical practices at OpenAI.
These strategic hires reflect OpenAI’s growing ambition to lead AI development responsibly while expanding into new areas, such as chip design, amidst increasing regulatory attention.
AI could help reduce the number of missed broken bones during X-ray analysis, according to the National Institute for Health and Care Excellence (NICE). The organisation recommends using four AI tools in urgent care settings in England to assist doctors in detecting fractures. This comes as radiologists and radiographers face high vacancy rates, putting a strain on the system.
NICE estimates that missed fractures account for up to 10% of diagnostic errors in emergency departments in the UK. AI is seen as a solution to this problem, working alongside healthcare professionals to catch mistakes that may occur due to heavy workloads. Experts believe using AI can speed up diagnoses, decrease the need for follow-up appointments, and ultimately ease pressure on hospital staff.
AI will not replace human expertise, as radiologists will still review all X-ray images. However, NICE assures that the technology could offer a more accurate and efficient process without increasing the risk of incorrect diagnoses or unnecessary referrals. The consultation period on this proposed use of AI in fracture detection will conclude on 5 November 2024.
A recent study by McKinsey highlights that Portugal must retrain around 1.3 million workers, about 30% of its workforce, by 2030 to adopt generative AI and close its productivity gap with the rest of the European Union. Portugal has long struggled with low productivity, which has contributed minimally to GDP growth compared to the EU average. However, the study predicts that by rapidly integrating AI and automation, the country could significantly boost productivity, matching projected EU levels.
Generative AI, which creates content like text and images based on past data, could help Portugal compete with more developed economies if the workforce is prepared for the technological shift. This change will also require the public, private, and education sectors to collaborate in reshaping job roles and work processes. For every euro invested in AI technology, McKinsey suggests that three euros will be needed for managing organisational transitions.
Besides upskilling 1.3 million workers, the study indicates that around 320,000 employees in roles like customer service will need to transition to new jobs. This large-scale transformation could position Portugal for stronger economic growth in the coming years.
A survey conducted by Wiley reveals that 96% of workers in the US feel stressed about adapting to AI at work. Many employees are grappling with how to integrate the rapidly evolving technology into their daily tasks, with 40% struggling to do so and 75% lacking confidence in their AI skills.
Managers also face challenges in leading AI transitions. Only 34% of people managers feel ready to support their teams effectively, exposing a knowledge gap that could hinder AI adoption. Meanwhile, 80% of employees believe their managers are supportive, though just 60% think their managers possess the expertise to guide them through the process.
Clearer strategies and structured training could ease the pressure. About 61% of employees say training on AI tools would help, while 54% believe a defined organisational strategy would make adoption smoother. Furthermore, 48% suggest that setting clearer expectations around AI use would boost their confidence.
Wiley’s report recommends three strategies for improving AI integration. Organisations are encouraged to define specific AI use cases, improve communication with employees, and provide targeted training for managers to lead their teams through the transition more effectively. Tracey Carney, the lead researcher, stresses the importance of equipping both employees and managers to handle the evolving demands of AI.
Gusto’s co-founder and head of technology, Edward Kim, believes that replacing existing teams with AI engineers is not the best approach for businesses preparing for an AI-driven future. In an interview, Kim emphasised that non-technical team members often have a deeper understanding of customer needs and challenges, making them more effective in guiding the development of AI tools.
At Gusto, non-technical customer experience team members contribute by writing “recipes” that instruct Gusto’s AI assistant, Gus, on how to interact with customers. This approach allows employees to leverage their domain expertise, even without technical skills, to create powerful AI applications. Kim highlighted the success of CoPilot, a customer support tool developed by a former support team member, Eric Rodriguez, who was later promoted to the engineering team. The tool, used by Gusto’s support team, quickly became a game-changer, enhancing efficiency by providing immediate, accurate responses based on the company’s internal knowledge base.
Kim noted that AI tools like Gus empower teams to create solutions without requiring coding knowledge, using natural language instructions. This bottom-up strategy contrasts with the trend of hiring highly specialised AI experts and reflects Gusto’s belief in leveraging domain expertise. As AI continues to evolve at the company, Kim envisions a shift in roles, with more employees focusing on writing AI recipes and fine-tuning prompts rather than direct customer interactions. This approach, he suggests, will enhance customer experiences and free up resources for Gusto to expand its services.
