Tools & Platforms
Empowering, not replacing: A positive vision for AI in executive recruiting
Image courtesy of Terri Davis
Tamara is a thought leader in Digital Journal’s Insight Forum (become a member).
“So, the biggest long‑term danger is that, once these artificial intelligences get smarter than we are, they will take control — they’ll make us irrelevant.” — Geoffrey Hinton, Godfather of AI
Modern AI often feels like a threat, especially when the warnings come from the very people building it. Sam Altman, the salesman behind ChatGPT (not an engineer, but the face of OpenAI and someone known for convincing investors), has said with offhand certainty, as casually as ordering toast or predicting the sun will rise, that entire categories of jobs will be taken over by AI. That includes roles in health, education, law, finance, and HR.
Some companies now won’t hire people unless AI fails at the given task, even though these models hallucinate, invent facts, and make critical errors. They’re replacing people with a tool we barely understand.
Even leaders in the field admit they don’t fully understand how AI works. In May 2025, Dario Amodei, CEO of Anthropic, said the quiet part out loud:
“People outside the field are often surprised and alarmed to learn that we do not understand how our own AI creations work. They are right to be concerned. This lack of understanding is essentially unprecedented in the history of technology.”
In short, no one is fully in control of AI. A handful of Silicon Valley technocrats have appointed themselves arbiters of the direction of AI, and they work more or less in secret. There is no real government oversight. They are developing without any legal guardrails. And those guardrails may not arrive for years, by which time they may be too late to have any effect on what’s already been let out of Pandora’s Box.
So we asked ourselves: Using the tools available to us today, why not model something right now that can in some way shape the discussion around how AI is used? In our case, this is in the HR space.
What if AI didn’t replace people, but instead helped companies discover them?
Picture a CEO in a post-merger fog. She needs clarity, not another résumé pile. Why not introduce her to the precise leader she didn’t know she needed, using AI?
Instead of turning warm-blooded professionals into collateral damage, why not use AI to help, thoughtfully, ethically, and practically solve problems that now exist across the board in HR, recruitment, and employment?
An empathic role for AI
Most job platforms still rely on keyword-stuffed resumés and keyword matching algorithms. As a result, excellent candidates often get filtered out simply for using the “wrong” terms. That’s not just inefficient, it’s fundamentally malpractice. It’s hurting companies and candidates. It’s an example of technology poorly applied, but this is the norm today.
Imagine instead a platform that isn’t keyword driven, that instead guides candidates through discovery to create richer, more dimensional profiles that showcase unique strengths, instincts, and character that shape real-world impact. This would go beyond skillsets or job titles to deeper personal qualities that differentiate equally experienced candidates, resulting in a better fitted leadership candidate to any given role.
One leader, as an example, may bring calm decisiveness in chaos. Another may excel at building unity across silos. Another might be relentless at rooting out operational bloat and uncovering savings others missed.
A system like this that helps uncover those traits, guides candidates to articulate them clearly, and discreetly learns about each candidate to offer thoughtful, evolving insights, would see AI used as an advocate, not a gatekeeping nemesis.
For companies, this application would reframe job descriptions around outcomes, not tasks. Instead of listing qualifications, the tool helps hiring teams articulate what they’re trying to achieve: whether it’s growth, turnaround, post-M&A integration, or cost efficiency, and then finds the most suitable candidate match.
Fairness by design
Bias is endemic in HR today: ageism, sexism, disability, race. Imagine a platform that actively discourages bias. Gender, race, age, and even profile photos are optional. The system doesn’t reward those who include a photo, unlike most recruiting platforms. It doesn’t penalize those who don’t know how to game a résumé.
Success then becomes about alignment. Deep expertise. Purposeful outcomes.
This design gives companies what they want: competence. And gives candidates what they want: a fair chance.
This is more than an innovative way to use current AI technology. It’s a value statement about prioritizing people.
Why now
We’re at an inflection point.
Researchers like Daniel Kokotajlo, Scott Alexander, Thomas Larsen, Eli Lifland, and Romeo Dean forecast in AI 2027 that superhuman AI (AGI, then superintelligence) will bring changes in the next decade more disruptive than the Industrial Revolution.
If they’re even a little right, then the decisions being made today by a small circle in Silicon Valley will affect lives everywhere.
It’s important to step into the conversation now to help shape AI’s real-world role. The more human-centred, altruistic, practical uses of AI we build and model now, the more likely these values will help shape laws, norms, and infrastructure to come.
This is a historic moment. How we use AI now will shape the future.
People-first design
Every technology revolution sparks fear. But this one with AI is unique. It’s the first since the Industrial Revolution where machines are being designed to replace people as an explicit goal. Entire roles and careers may vanish.
But that isn’t inevitable either. It’s a choice.
AI can be built to assist, not erase. It can guide a leader to their next opportunity. It can help a CEO find a partner who unlocks transformation. It can put people out front, not overshadow them.
We invite others in talent tech and AI to take a similar stance. Let’s build tools for people. Let’s avoid displacement and instead elevate talent. Let’s embed honesty, fairness, clarity, and alignment in everything we make.
We don’t control the base models. But we do control how we use them. And how we build with them.
AI should amplify human potential, not replace it. That’s the choice I’m standing behind.
In an era marked by rapid technological advancements, the integration of artificial intelligence (AI) into educational frameworks is transforming the way students learn and interact with educational content. A groundbreaking study has recently been published, shedding light on a novel online learning methodology that leverages AI technologies to enhance student engagement and educational outcomes. This development signals a new chapter in educational practices, where personalized learning experiences reshape the traditional classroom dynamic.
The research, conducted by Li and Yin, introduces an innovative interactive online learning method designed specifically for students, utilizing AI as a core component. With the increasing prevalence of digital platforms, there is a pressing need for models that adapt to the diverse learning styles of students. Traditional educational methods often fall short when it comes to providing customized learning experiences. By harnessing AI, the new method aims to bridge this gap, making learning more accessible and effective for all students.
At the heart of this research is the concept of adaptive learning, which involves tailoring educational experiences to meet individual learner needs. AI technologies can analyze vast amounts of data from student interactions and performance metrics. This analysis helps in creating personalized learning paths that encourage students to progress at their own pace. Such an approach not only fosters deeper understanding but also boosts student motivation. When learners are met with challenges that are aligned with their current capabilities, they are more likely to engage with the material and strive for improvement.
One of the standout features of this interactive online learning method is its responsiveness. Unlike traditional static content delivery, where students often find themselves passively consuming information, this new method encourages active participation. Through AI-driven algorithms, the system can provide real-time feedback, identify knowledge gaps, and suggest targeted resources for further study. This feedback loop is crucial for developing mastery of the subject matter. Students can receive immediate support, enhancing their learning experience and fostering a growth mindset.
Moreover, the research underscores the importance of collaboration in online learning environments. The AI system is not solely focused on the individual learner; it also facilitates peer interaction. By analyzing group dynamics and individual contributions, the AI can recommend collaborative activities that enhance collective learning. This approach builds a sense of community among students, essential in an online setting where isolation can sometimes become a barrier to engagement.
In addition to fostering collaboration, the interactive method also incorporates gamification elements to increase student motivation. By integrating game-like features such as rewards, levels, and challenges, the AI platform aims to create a stimulating learning environment. These elements make learning enjoyable, thus encouraging students to persevere through challenging concepts and fostering a love for learning. The excitement of gamified learning can transform even the most daunting subjects into engaging experiences.
Furthermore, the research highlights the scalability of this AI-driven learning method. With the ability to reach a vast audience, this approach can be implemented in diverse educational settings, from primary schools to universities. The adaptability of the AI system ensures that it can cater to different curricula and learning objectives. This scalability means that educational institutions can deploy this innovative method to enrich their existing programs, ultimately leading to improved educational outcomes worldwide.
On a technical level, the implementation of this interactive learning method requires a robust understanding of AI technologies, including machine learning and natural language processing. These technologies enable the system to understand student inputs, contextually evaluate responses, and adjust learning materials accordingly. Such sophisticated algorithms are essential for creating a truly personalized learning experience that is not only tailored to individual needs but also evolves as the learner progresses.
The implications of this research extend beyond just individual learning outcomes; they touch upon the broader educational landscape. As educational institutions increasingly embrace digital solutions, the demand for effective AI-driven tools will continue to rise. The study by Li and Yin serves as a call to action for educators and policymakers to invest in technologies that promote interactive, student-centered learning environments. As these technologies become more prevalent, they could redefine education, making high-quality learning experiences accessible to all.
While the study presents exciting opportunities, it also raises pertinent questions about equity and accessibility in education. As institutions consider integrating AI learning systems, they must address potential disparities in access to technology. Ensuring that all students have the necessary devices and internet connectivity is crucial for the success of online learning methods. This consideration is particularly pertinent in underserved communities, where educational resources may already be scarce.
Moreover, the ethical implications of AI in education cannot be overlooked. Ensuring data privacy and security is paramount, as student interactions with AI systems generate considerable amounts of sensitive information. Institutions must adopt rigorous protocols to protect student data while providing AI-driven learning experiences. Transparency in how AI algorithms work and make decisions is also necessary to build trust among educators, learners, and parents alike.
In conclusion, the interactive online learning method proposed by Li and Yin represents a significant advancement in the use of AI for educational purposes. By providing personalized, engaging, and adaptive learning experiences, this method has the potential to revolutionize how students learn and interact with educational content. As technology continues to evolve, so too must our approaches to education. Embracing these innovations not only enhances learning outcomes but also prepares students for a rapidly changing world, where adaptability and lifelong learning are essential.
As we reflect on this pivotal research, it is clear that the future of education will be shaped by technology. The ability to personalize learning experiences and foster collaboration among students will play a critical role in nurturing the next generation of thinkers and innovators. By investing in AI-driven educational methodologies, we are taking significant steps toward a more inclusive, engaging, and effective educational landscape.
Subject of Research: Interactive online learning method utilizing artificial intelligence for enhanced educational outcomes.
Article Title: Interactive online learning method for students based on artificial intelligence.
Article References:
Li, C., Yin, W. Interactive online learning method for students based on artificial intelligence.
Discov Artif Intell 5, 201 (2025). https://doi.org/10.1007/s44163-025-00401-x
Image Credits: AI Generated
DOI: 10.1007/s44163-025-00401-x
Keywords: artificial intelligence, online learning, adaptive learning, gamification, technology in education, personalized education, student engagement, collaborative learning.
Tags: adaptive learning technologiesAI in educationAI-driven educational frameworkscustomized learning solutionsdigital learning platformseducational outcomes improvementEnhancing student engagementinteractive learning methodologiesonline learning revolutionpersonalized learning experiencesStudent performance analyticstransforming traditional classrooms
Jacob EvansBBC World Service
Getty ImagesBack in the 1980s when the internet was still in its infancy, countries were being handed their own unique website addresses to navigate this nascent new online world. Such as .us for the US or .uk for the UK.
Eventually, almost every country and territory had a domain based on either its English or own language name. This included the small Caribbean island of Anguilla, which landed the address .ai.
Unbeknownst to Anguilla at the time, this would become a future jackpot.
With the continuing boom in artificial intelligence (AI), more and more companies and individuals are paying Anguilla, a British Overseas Territory, to register new websites with the .ai tag.
Such as US tech boss Dharmesh Shah, who earlier this year spent a reported $700,000 (£519,000) on the address you.ai.
Speaking to the BBC, Mr Shah says he purchased it because he had “an idea for an AI product that would allow people to create digital versions of themselves that could do specific tasks on their behalf”.
The number of .ai websites has increased more than 10-fold in the past five years, and has doubled in the past 12 months alone, according to a website that tracks domain name registrations.
The challenge for Anguilla, which has a population of just 16,000 people, is how to harness this lucrative bit of luck and turn it into a long-term and sustainable source of income.
Similar to other small Caribbean islands, Anguilla’s economy is built on a bedrock of tourism. Recently, it’s been attracting visitors in the luxury travel market, particularly from the US.
Anguilla’s statistics department says there was a record number of visitors to the island last year, with 111,639 people entering its shores.
Yet Anguilla’s tourism sector is vulnerable to damage from hurricanes every autumn. Situated in the northeast of the Caribbean island arc, Anguilla lies perfectly within the North Atlantic hurricane belt.
So gaining an increasing income from selling website addresses is playing an important role in diversifying the island’s economy, and making it more resilient to the financial damage that storms may bring. This is something that the International Monetary Fund (IMF) noted in a recent report on Anguilla.
HubSpotIn its draft 2025 budget document, the Anguillian government says that in 2024 it earned 105.5m East Caribbean dollars ($39m; £29m) from selling domain names. That was almost a quarter (23%) of its total revenues last year. Tourism accounts for some 37%, according to the IMF.
The Anguillian government expects its .ai revenues to increase further to 132m Eastern Caribbean dollars this year, and to 138m in 2026. It comes as more than 850,000 .ai domains are now in existence, up from fewer than 50,000 in 2020.
As a British Overseas Territory, Anguilla is under the sovereignty of the UK, but with a high level of internal self-governance.
The UK has significant influence on the island’s defence and security, and has provided financial assistance during times of crisis. After Hurricane Irma severely damaged it in 2017, the US gave £60m to Anguilla over five years to help meet the repair bill.
The UK’s Foreign, Commonwealth and Development Office tells the BBC it welcomes Anguilla’s efforts “to find innovative ways to deliver economic growth” as it helps “contribute to Anguilla’s financial self-sufficiency”.
To manage its burgeoning domain name income, in October 2024 Anguilla signed a five-year deal with a US tech firm called Identity Digital, which specialises in internet domain name registries.
At the start of this year, Identity Digital announced that it had moved where all the .ai domains are hosted, from servers in Anguilla, to its own global server network. This is to prevent any disruption from future hurricanes, or any other risks to the island’s infrastructure, such as power cuts.
The exact cost of .ai addresses isn’t publicly disclosed, but registration prices are said to start from roughly $150 to $200. With renewal fees of around the same amount every two years.
At the same time, more in-demand domain names are auctioned off, with some fetching hundreds of thousands of US dollars. The owners of these then have to pay the same small renewal fees as everyone else.
In all cases, the government of Anguilla gets the sales revenue, with Identity Digital getting a cut said to be around 10%. However, they appear to be sensitive about the topic, as both declined to be interviewed for this article.
Currently the most expensive .ai domain name purchase is Mr Shah’s you.ai.
A self-confessed AI-enthusiast, and co-founder of US software company Hubspot, Mr Shah has several other .ai domain addresses to his name, but the flagship you.ai is not yet operational as he’s been busy with other projects.
Mr Shah says he buys domain names for himself, but will occasionally look to sell “if I don’t have immediate plans for it, and there’s another entrepreneur that wants to do something with the name”.
Mr Shah believes that another person or company will soon set a new record for the highest price of an .ai domain purchase, such is the continuing excitement around AI.
But he adds: “Having said that, I still think over the long-term, .com domains will maintain their value better and for longer.”
In recent weeks, .ai auctions have seen major six-figure sales. In July, cloud.ai sold for a reported $600,000 and law.ai sold for $350,000 earlier this month.
Getty ImagesHowever, Anguilla’s position is not without precedent. The similarly tiny Pacific island nation of Tuvalu signed an exclusive deal in 1998 to license its .tv domain name.
Reports say this granted exclusive rights to US domain name registry firm, VeriSign in exchange for $2m a year, which later rose to $5m.
A decade later and with the internet expanding exponentially, Tuvalu’s finance minister, Lotoala Metia, said VeriSign, paid “peanuts” for the right to run the domain name. The country signed a new deal with a different domain provider, GoDaddy, in 2021.
Anguilla is operating in a different fashion, having handed over management of the domain name in a revenue-sharing model, not a fixed payment.
Cashing in on this new line of income sustainably has been a major goal for the island. It’s hoped the increasing incomings will allow for a new airport to be built to facilitate tourism growth, as well as fund improvements to public infrastructure and access to health care.
As the number of registered .ai domains hurtles toward the million mark, Anguillians will hope this money is managed safely and invested in their future.
The Shanghai Cooperation Organization remains committed to deepening pragmatic cooperation in artificial intelligence, and China”s rapid development in the field is drawing growing attention from other SCO countries, officials and experts said.
AI cooperation is among the fastest-growing areas within the SCO. In recent years, a series of important multilateral agreements have been concluded and member states have adopted a plan for cooperation on AI development, said SCO Deputy Secretary-General Oleg Kopylov.
“Within the SCO framework, we will promote the interconnection of AI and digital infrastructure, improve the AI ecosystem, foster coordinated development across national industries, and at the same time strengthen academic exchanges and cooperation on talent cultivation,” Kopylov said.
China and other SCO countries are continuously deepening exchanges and cooperation in AI, with a number of enterprises and projects actively participating and achieving notable results, said Huang Ru, an official with the National Development and Reform Commission.
Huang said “AI-plus agriculture “is transforming the face of the industry, and is also a microcosm of how China is providing the world with various AI-powered products.
In May, usually a month of bumper soybean harvest, Ji Jiangtao, a technician from Tianjin-based agricultural machinery manufacturer Nongxin Technology, was in Ussuriysk in Russia’s Far East training local farmers to use automatic navigation for agricultural machinery.
Ji said the machines execute operations precisely along preset routes through positioning technology coupled with AI algorithms. The system employs an adaptive path-tracking algorithm and can navigate in straight lines as well as curved, circular and automatic U-turn modes, effectively enhancing operational efficiency.
“We are continuously intensifying research in smart agriculture, and have already sold dozens of sets of agricultural machinery automatic navigation systems to Russia,” said Yan Bingxin, a senior engineer at Nongxin Technology.
In another case, a pool-cleaning robot from China, remotely operated via a mobile app, is gaining popularity in Kazakhstan as it leverages an integrated infrared-ultrasonic sensor suite and AI-driven path planning to methodically clean every part of the pool.
“Users can monitor both the route and the process even when they are away,” noted Yu Guoxing, a manager at Deepinfar Ocean Technology. He said that a Kazakh distributor has placed a single order for 40 units, while the appeal of underwater intelligent devices is also drawing interest from users in Russia and Tajikistan.
Industry observers say these discrete pilots are not isolated. Together, they sketch an emerging regional latticework of innovation. Teng Bingsheng, professor of strategic management and associate dean for strategic research at Cheung Kong Graduate School of Business, said China’s advances in AI applications can help other participating countries achieve leapfrog development and narrow the digital technology divide.
The SCO encompasses 42 percent of the world’s population, offering abundant application scenarios and vast data resources for AI, Teng said.
Such regional cooperation helps build a more open and inclusive AI ecosystem, contributes an “SCO approach” to global AI governance, and promotes better use of AI in serving regional development and improving people’s livelihoods, Teng added.
Beyond firm-led pilot projects, governments of the SCO countries are articulating national AI adoption pathways. Kyrgyzstan, for instance, hopes to study in-depth and draw on the technological achievements and practical experience of China and other member states in the field of AI.
“China serves as a model for us in developing AI. The Chinese government has continuously increased its efforts in AI technology and resource investment, and has introduced a series of supportive policies that have produced remarkable results,” said Azat Ibraimov, director for management and monitoring of the implementation of decisions of the Presidential Administration of Kyrgyzstan.
Ibraimov said China has introduced many advanced AI models and platforms whose open, shared technological resources provide useful references for other countries.
With China’s experience, Kyrgyzstan aims to develop AI technologies suited to its own national conditions and gradually narrow the gap with more technologically advanced nations, he said.
Another SCO member state, Tajikistan, is among the early adopters of AI among the five Central Asian countries and has designated 2025-30 the Years of Digital Economy and Innovation Development.
Azizjon Azimi, chairman of the AI Council under Tajikistan’s Ministry of Industry and New Technologies, said the digital economy can only flourish with AI as an enabling force and that AI has strongly propelled the country’s economic development.
“We are amazed by the pace and scale of China’s AI development. China commands strong research and development strengths. Meanwhile, Tajikistan, as a leading nation in green hydropower, can furnish training resources to support China’s frontier large models, helping more innovations like DeepSeek to arise and unlocking greater growth potential,” Azimi said.
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