Future of work

Startup Waterlily secures funding to expand care planning tech

San Francisco-based startup Waterlily has raised $7 million in seed funding to expand its AI-driven platform for long-term care planning. Founded by Lily Vittayarukskul, the company helps families and financial advisors predict care costs and create tailored financial strategies. Using machine learning and data from government and insurance sources, Waterlily provides personalised recommendations on funding options, such as life insurance and long-term care policies.

Waterlily’s technology was inspired by Vittayarukskul’s personal experience of caring for her aunt, which exposed the financial and emotional strain of long-term care. The platform’s predictive AI can be used for individuals over 40, offering insights into when and how they may need care. The startup already serves major insurance carriers, including Prudential, and hundreds of independent advisors.

With its latest funding round, Waterlily plans to enhance its AI models, expand its team, and strengthen its partnerships. The company is also exploring international expansion to markets such as the UK and Canada, aiming to bridge the gap in long-term care planning and ensure more families are prepared for the future.

DeepSeek: Speeding up the planet or levelling with ChatGPT?

Although the company’s name somewhat overlaps with Google DeepMind, which was launched earlier, the new player in the market has sparked a leap in attention and public interest, becoming one of the biggest AI surprises on the planet upon its launch.

DeepSeek, a company headquartered in China, enjoys significant popularity primarily because its most sought-after features keep pace with giants like OpenAI and Google, as well as due to notable stock market changes that are far from negligible.

In the following points, we will explore these factors and what the future holds for this young company, particularly in the context of the dynamics between China and the US.

How did it start? Origins of DeepSeek

DeepSeek is an AI company from China based in Hangzhou, Zhejiang, founded by entrepreneur and businessman Liang Wenfeng. The company develops open-source LLMs and is owned by a Chinese hedge fund, High-Flyer.

It all started back in 2015 when Liang Wenfeng cofounded High-Flyer. At first, it was a startup, but in 2019, it grew into a hedge fund focused on developing and using AI trading algorithms. For the first two years, they used AI only for trading.

In 2023, High-Flyer founded a startup called DeepSeek, and Liang Wenfeng was appointed CEO. Two years later, on 10 January 2025, DeepSeek announced the release of its first free-to-use chatbot app. The app surpassed its main competitor, ChatGPT, as the most downloaded free app in the US in just 17 days, causing an unprecedented stir on the market.

Unprecedented impact on the market

Few missed the launch of the DeepSeek model, which is why the stock market felt the impact, and so did some of the biggest giants.

For instance, the value of Nvidia shares dropped by as much as 18%. Similar declines were experienced by giants like OpenAI, Google, and other AI companies focused on small and medium-sized enterprises.

On top of this, there is justified concern among investors, who could quickly shift their focus and redirect their investments. However, this could lead to an even more significant drop in the shares of the largest companies.

Open-source approach

DeepSeek embraces an open-source philosophy, making its AI algorithms, models, and training details freely accessible to the public. The company stated that it is committed to transparency and fosters collaboration among developers and researchers worldwide. They also advocate for a more inclusive and innovative AI ecosystem.

Their strategy has the potential to reshape the AI landscape, as it empowers individuals and organisations to contribute to the evolution of AI technology. DeepSeek’s initiative highlights the importance of open collaboration in driving progress and solving complex challenges in the tech industry.

DeepSeek quickly secured the information after being alerted.

With the growing demand for ethical and transparent AI development, DeepSeek’s open-source model sets a precedent for the industry. The company paves the way for a future where AI breakthroughs are driven by collective effort rather than proprietary control.

Cheaper AI model that shook the market

By being cheaper than the competition, DeepSeek has opened the doors of the AI market to many other companies that do not have as much financial power. As dr Jovan Kurbalija, executive director of Diplo, says in his blog post titled ‘How David outwits Goliath in the age of AI?‘, ‘the age of David challenging Goliath has arrived in AI’.

For individuals, this means monthly costs are reduced by 30% to 50%, which can be, and often is, the biggest incentive for users looking to save.

The privileges once enjoyed by those with greater financial resources are now available to those who want to advance their small and medium-sized businesses.

Cyber threats and challenges faced by DeepSeek

Shortly after its launch, DeepSeek faced a significant setback when it was revealed that an error had exposed sensitive information to the public.

This raised alarms for many, especially as the immense popularity led to the AI Assistant being removed from the AppStore more times than OpenAI’s offering, and a large amount of data became accessible.

Experts have expressed concerns that others may have accessed the leaked data. The company has not yet commented on the incident, while the system’s vulnerability provides a foundation for hacking groups to exploit.

DeepSeek for the top spot, ChatGPT defends the throne

The AI race is heating up as DeepSeek challenges industry leader ChatGPT, aiming to claim the top spot in AI. With its open-source approach, DeepSeek is rapidly gaining attention by publicly making its models and training methods available, fostering innovation and collaboration across the AI community.

The race was further spiced up by DeepSeek’s claim that it built an AI model on par with OpenAI’s ChatGPT for under $6 million (£4.8 million). In comparison, Microsoft, OpenAI’s main partner, plans to invest around $80 billion in AI infrastructure this year.

OpenAI’s ChatGPT search tool faces risks of manipulation via hidden content, leading to biased or harmful outputs.

As DeepSeek pushes forward with its transparent and accessible model, the battle for AI supremacy intensifies. Whether openness will outmatch ChatGPT’s established presence remains to be seen, but one thing is sure—the AI landscape is evolving faster than ever.

Why is DeepSeek gaining popularity in 2025?

DeepSeek has emerged as a major player in AI by embracing an open-source philosophy, making its models and training data freely available to developers. This transparency has fueled rapid innovation, allowing researchers and businesses to build upon its technology and contribute to advancements in AI.

Unlike closed systems controlled by major tech giants, DeepSeek’s approach promotes accessibility and collaboration, attracting a growing community of AI enthusiasts. Its cost-effective development, reportedly achieving results comparable to top-tier models with significantly lower investment, has also drawn attention.

As the demand for more open and adaptable AI solutions rises, DeepSeek’s commitment to shared knowledge positions it as a strong contender in the industry. Whether this strategy will redefine the AI landscape remains to be seen, but its growing influence in 2025 is undeniable.

DeepSeek in the future: Development, features, and strategies

Now that it has experienced ‘overnight success,’ the Chinese company aims to push DeepSeek to the top and position it among the most powerful AI firms in the world.

Users can definitely expect many advanced features that will fuel a fierce battle with giants like DeepMind and ChatGPT.

Strategically, DeepSeek will attempt to break into the American market and offer more financially accessible solutions, forcing the key players to make significant cuts.

DeepSeek is undoubtedly a real hit in the market, but it remains to be seen whether price is the only measure of its success.

Whether it will make a leap in its own technology and completely outpace the competition or remain shoulder to shoulder with the giants—or even falter—will be revealed in the near future.

One thing is sure: the Chinese company has seriously shaken up the market, which will need considerable time to recover.

AI Robotics boom continues with SoftBank’s $500M deal

SoftBank is set to invest $500 million in SkildAI, a fast-growing AI robotics startup, at a valuation of $4 billion. The company, founded just two years ago, specialises in building AI models that can be adapted for different robotic applications. Previous investors include Jeff Bezos, Lightspeed Venture Partners, and Coatue Management, who contributed to a $300 million round last July.

The investment comes amid surging interest in AI-powered robotics, with major backers like Bezos ramping up funding in the sector. Startups such as Physical Intelligence and Figure AI have also secured hundreds of millions in recent months to develop advanced robotic “brains” and humanoid robots.

SkildAI’s latest funding highlights the growing competition in AI-driven automation, with investors betting on smarter, more adaptable robots. As demand for robotics expands across industries, firms like SkildAI are positioning themselves at the forefront of this technological revolution.

DeepSeek’s AI model sets new benchmark in image generation

Chinese AI startup DeepSeek has announced that its Janus-Pro-7B model has surpassed competitors, including OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion, in benchmark rankings for text-to-image generation. This achievement solidifies DeepSeek’s reputation as a key player in the rapidly evolving AI market.

According to a technical report, the Janus-Pro model builds upon its predecessor by incorporating enhanced training processes, higher-quality data, and advanced scaling, resulting in improved stability and more detailed image outputs. The company credited the inclusion of 72 million high-quality synthetic images, combined with real-world data, for the model’s superior performance.

This success follows the launch of DeepSeek’s new AI assistant based on the DeepSeek-V3 model, which has become the top-rated free app in the US Apple App Store. The news sent shockwaves through the tech industry, leading to declines in shares of companies like Nvidia and Oracle, as investors reassessed the competitive dynamics in AI development.

OpenAI and Stability AI have yet to comment on the claims. DeepSeek’s achievements highlight the growing influence of Chinese firms in cutting-edge AI innovation, setting the stage for heightened competition in the global tech market.

White House examines security concerns over China’s DeepSeek AI

US officials are evaluating the potential national security risks posed by the Chinese AI app DeepSeek. White House press secretary Karoline Leavitt confirmed the National Security Council is leading the review, highlighting concerns about American AI dominance. White House AI and crypto adviser David Sacks suggested intellectual property theft might have played a role in DeepSeek’s development.

Global technology stocks faced a sell-off over fears that DeepSeek’s low-cost AI model could challenge major US firms like OpenAI and Google. Sacks explained that DeepSeek may have used a technique called distillation, allowing one AI model to learn from another. He warned that American AI companies would likely implement measures to block such practices.

Donald Trump argued that DeepSeek’s rise should push US firms to intensify their AI efforts. While acknowledging China’s progress, he maintained that American companies remain leaders in innovation. He suggested that more affordable AI solutions could benefit the industry without sacrificing technological advances.

Washington continues to restrict AI chip exports to China, aiming to slow its technological advancements. The Commerce Department, under Trump’s nominee Howard Lutnick, is set to play a key role in enforcing these limitations.

Google aims to shape AI policy and workforce training

Google is ramping up efforts to influence public perception and policy on AI as it faces increasing global regulatory scrutiny. Kent Walker, Alphabet’s president of global affairs, emphasised the importance of educating the workforce on AI, saying that getting more people familiar with the technology would lead to better policy and open new opportunities. Google is keen on shaping the narrative around AI, especially as it competes with rivals like Microsoft and Meta in the fast-growing sector.

The company is also working to address concerns about job displacement and the potential for AI-driven workforce changes. Google has committed $120 million to AI education programs, with initiatives like the “Grow with Google” program, which provides online and in-person training to help workers gain skills in areas such as data analysis and IT. The company has already certified one million people through these programs and is now adding AI-focused courses.

As governments draft regulations on AI’s impact on privacy, copyright, and the economy, Google is pushing for public-private partnerships to help prepare workers for AI-related changes. Walker noted that while AI could displace some jobs, it will likely be integrated into most roles, creating new opportunities. Google is also researching AI’s potential in training programs, aiming to make adult retraining more engaging and effective.

Meta’s smart glasses with AI: More hype than help

Meta’s new Ray-Ban smart glasses, featuring a Live AI assistant, promise a futuristic way to interact with the world. Users can ask questions about their surroundings, with the AI offering answers in real time. From recipe ideas to decorating advice, Live AI aims to be a virtual assistant that sees what you see and responds conversationally.

Despite its intriguing potential, Live AI struggles in everyday use. Its responses often state the obvious, like suggesting scrambled eggs when a fridge has two eggs and no milk. Users also find it challenging to remember to use the feature, with a smartphone search frequently feeling more practical and efficient. Moreover, the AI’s suggestions often lack the depth needed to be genuinely useful.

Making Live AI effective requires users to master the art of asking precise, specific questions a skill that doesn’t come naturally to everyone. This, combined with issues like misinterpreting conversations and a short battery life, makes the technology feel less magical in real-world scenarios. While the glasses point to a vision of hands-free AI, they currently struggle to provide a compelling alternative to existing devices.

Trump orders AI action plan to enhance US dominance

US President Donald Trump has signed an executive order aimed at solidifying the country’s dominance in artificial intelligence. The directive includes creating an Artificial Intelligence Action Plan within 180 days to promote economic competitiveness, national security, and human well-being. The White House confirmed this initiative as part of efforts to position the nation as a global AI leader.

Trump has also instructed his AI and national security advisers to dismantle policies implemented by former President Joe Biden. Among these is a 2023 order requiring AI developers to submit safety test results to the government for systems with potential risks to national security, public safety, or the economy.

Biden’s policies aimed to regulate AI development under the Defence Production Act to minimise risks posed by advanced technologies. Critics argue the approach imposed unnecessary constraints, while supporters viewed it as a safeguard against potential misuse of AI.

The latest move reflects Trump’s broader strategy to reshape the nation’s AI framework, focusing on economic growth and innovation while rolling back measures seen as restrictive.

UK government shakes up CMA leadership

Marcus Bokkerink has been removed from his position as chair of the Competition and Markets Authority (CMA) by the UK government, marking a shift in regulatory practices aimed at boosting economic growth. The CMA, a key agency overseeing mergers and competition, had recently paused the high-profile Microsoft-Activision Blizzard merger, showcasing its regulatory power. Bokkerink, appointed in 2022, was expected to serve a five-year term but will now step down as part of the government’s effort to realign regulatory bodies with its economic priorities.

This decision reflects a broader governmental push to reduce barriers to economic expansion. Prime Minister Keir Starmer, Chancellor Rachel Reeves, and Business Secretary Jonathan Reynolds recently sent a letter to several regulators, including the CMA, urging them to prioritize growth. Government insiders have suggested that the move signals a serious commitment to reshaping the regulatory environment to encourage investment and economic development.

The removal of Bokkerink, a former senior partner at Boston Consulting Group, comes as the government continues to focus on attracting international investment, with key figures like Reeves and Reynolds attending the World Economic Forum in Davos to further this goal. The government’s efforts to reshape regulatory culture align with its broader strategy to make economic growth the country’s top priority.

India watchdog demands fresh probe into Foxconn hiring

India’s National Human Rights Commission (NHRC) has rebuked labour officials for inadequately investigating claims of employment discrimination at Foxconn’s iPhone manufacturing plant in Tamil Nadu. The commission called for a thorough re-examination after a Reuters investigation revealed that Foxconn systematically excluded married women from assembly line jobs, relaxing the rule only during high-production periods.

Labour officials, who visited the Foxconn plant in July, reported that 6.7% of its 33,360 female workers were married but failed to confirm whether they worked on the assembly line. Federal investigators also relied on employee testimonies, finding no wage or promotion bias but neglected to scrutinise recruitment records. The NHRC criticised these findings as superficial, stating they failed to address the alleged discriminatory hiring practices effectively.

Foxconn and Apple, both key players in India‘s electronics manufacturing push, did not respond to inquiries about the NHRC’s concerns. While Foxconn previously instructed recruiters to remove discriminatory job criteria, the NHRC has ordered a fresh investigation into the matter. The statutory body, which holds civil court-like authority, continues to push for accountability in safeguarding workers’ rights.