Top 100 AI Tech Companies by World Luxury Chamber of Commerce

‘Designing the future, together.’

E DI TOR I A L T E A M

Alexander Chetchikov

Kateryna Chorna

Nadia Baker

Oleksandr Hryshyn

TOP 100 AI TECH Companies 2025 is published by World Future Awards, the branch contributors of Luxury Brand Consulting LLC

One World Trade Center Suite 8500, New York, NY10007, U.S.A

T:+1 646 547 1446

E: info@worldfutureawards.com

www.worldfutureawards.com

The use of our Website and Digital Magazine are all subject to the following:

All rights reserved. No part of TOP 100 AI TECH Companies 2025 may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior permission from Luxury Brand Consulting LLC. Whilst every effort has been made to check the information contained in this issue of TOP 100 AI TECH Companies 2025, the publishers cannot accept respon-sibility for errors or omissions. The views expressed by contributors are not necessarily those of Luxury Brand Consulting LLC. Unless otherwise stated, the copyright of the individual contribution is that of the contributors. Every effort has been made to trace the copyright holders of images. We apologize in advance for any unintentional omissions and would be pleased to insert the appropriate acknowledgment in any subsequent publication.

Alexander Chetchikov CEO

https://www.linkedin.com/in/alexander-chetchikov-77840124/

At Futurenomic and the World Future Organization, our mission is clear: to anticipate, understand, and shape the forces that deﬁne tomorrow. This edition brings together voices of remarkable leaders, from Professor Berkeley, who envisions the tech future amid geopolitical shifts, to Lydia Teryoshina, guiding digital transformation at Microsoft, and Jennifer Arnold, asking if AI can deliver truly personalized women’s health. Their perspectives, together with our Top 100 AI Companies of the World 2025, provide both inspiration and direction. We invite you to explore, question, and imagine with us, as we continue building a future of intelligence, innovation, and opportunity.

Kateryna Chorna Project Manager

https://www.linkedin.com/in/kateryna-chorna-53162252/

Welcome to the September edition of Futurenomic, dedicated to one of the most transformative forces of our time, Artiﬁcial Intelligence. This issue celebrates the Top 100 AI Companies of the World 2025, highlighting the innovators, disruptors, and visionaries driving the next chapter of technology. Alongside this ranking, we feature thought-provoking conversations with global leaders and experts who are shaping the intersection of AI, technology, and society. We are proud to present a platform where ideas meet impact, and where the future is designed today.

Nadia Baker Awards Manager

https://www.linkedin.com/in/nadia-baker-a7b243231/

The World Future Awards were created to recognize excellence and spotlight the pioneers redeﬁning our world. This year, our focus turns to AI, a technology that is not only reshaping industries but also redeﬁning how we live, work, and think. The Top 100 AI Companies list is more than recognition; it is a map of where the future is headed. From breakthroughs in healthcare personalization to the reinvention of business through cloud and digital platforms, these companies represent the pulse of innovation. It is with pride that we also mark a milestone, our Times Square campaign, where Futurenomic and WFA share this story on the world’s most iconic stage.

Interview with

Olaf J. Groth, PhD

FOUNDER, PROFESSOR BERKELEY, AUTHOR HELPING LEADERS SHAPE

FUTURE DISRUPTED BY TECH & GEOPOLITICS

A Two-Part Conversation with Olaf J. Groth on Innovation, Power, and Global Governance

At the forefront of global thought leadership on technology and geopolitics in the global economy, Olaf J. Groth, PhD, is a renowned professor, strategist, and founder whose work guides leaders through the complexities of an era deﬁned by rapid transformation. With over 25 years of international experience spanning the tech, communications, aerospace, energy, and education sectors, Olaf has advised governments and Fortune 500 companies alike.

His work is deeply rooted in shaping intelligent, forward-thinking strategies for navigating the “cognitive economy,” a future where artiﬁcial intelligence, quantum computing, and cyberinfrastructure redeﬁne how we live, work, and govern.

Recently, World Future Awards had the honor of reviewing Olaf’s co-authored book, The Great Remobilization: Strategies and Designs for a Smarter Global Future, alongside Mark Esposito and Terence Tse. The book provides a strategic roadmap for leaders grappling with geopolitical instability, climate change, and technological disruption. Through frameworks like FLP-IT and interviews with global decision-makers, Olaf and his co-authors argue for nothing less than the redesign of our institutions to meet the demands of a new global order.

Now, in this exclusive two-part interview, Olaf delves into two of the most urgent topics of our time: the geopolitics of innovation and the rise of techno-globalism.

Questions: PART I:

GEOPOLITICS OF INNOVATION – WHO WILL LEAD THE TECH FUTURE?

World Future Awards: What do you see as the major technology-driven forces shaping the global economy of tomorrow?

Olaf J. Groth: These are what we describe as the 6Cs – (1) Cognitive Technologies, like AI, data science, quantum and brain-computer interfaces will increasingly provide the cybernetic command and control functions across psychological, social, economic, biological ecological, and infrastructural domains in societies; (2) CRISPR and pandemics because they shape our social, biological and ecological relationships; (3) Crypto as an attempted governance revolution; (4) Cybersecurity where we’re seeing a double evolution upstream in supply chains and through tracking outside the firewall; (5) Climate change as the existential threat of our time for all; and (6) China-US rebalancing, because it impacts every facet of the first five forces above.

World Future Awards: In your view, what are the main forces currently shaping the global race for leadership in AI, quantum computing, and digital infrastructure?

OJG: The ﬁrst is data, and it is usually underestimated. We tend to talk about the shiny new thing – AI and how models might demonstrate human-like general intelligence – but we forget that data is the fuel for everything. It may be a dry topic for non-experts, but it’s the lifeblood for the cognitive economy. For example, data constructs like digital twins and their convergence with agents will allow us to create the future of the Agentic Twin Economy, which will power the entire global economy one day. Then there’s technical talent, increasingly scarce and expensive, which is why we’re seeing bidding

cables, satellites, etc. Digital sovereignty is here to stay. But that doesn’t mean digitally sovereign hubs can’t interconnect with special monitoring and safeguarding protocols.

WFA: The U.S., China, and the EU are each staking claims in the tech frontier. How do you assess their comparative advantages and vulnerabilities?

OJG: Between the US and China, advantages are converging with some nuances. Both are leveraging massive amounts of data; in China, it’s national consumer data, whereas in the US, it’s data from its global consumer and enterprise hyperscaler platforms. China has also been converging on the US with respect to the quality of its universities, which matters for science-driven deeptech. Against this picture, it is concerning that the current US administration is crippling its science establishment at exactly the wrong moment. The US is still ahead on pure number of professors and PhD students as well as startup creation in – say – AI, but China is ahead in publications and patents now. The US shines on the professionalism, vibrancy, and efficacy of its venture capital system, but China’s advantage is speed and velocity of venture standup and scaleout. Europe, meanwhile, is looking good in areas of innovation that are highly regulated. For instance, its user base in fintech and crypto services far exceeds that of both the US and China, and its life sciences and biochemicals corporations are top-notch. But it suffers from overregulation in other digital services, doesn’t have a coherent data market or sufficient capital, and hence makes it hard for entrepreneurs to scale across 27 member states. Like the US, Europe has a very strong science establishment, and we’ll hopefully see that bear fruit in quantum

WFA: Government institutions often have trouble keeping up with the ever-accelerating tech developments, and that may affect how well they deliver beneﬁts to their constituents. What can we do about that?

OJG: Deng Xiao Ping said about government (I paraphrase), “It doesn’t matter whether the cat is black or white, so long as it hunts mice.” The two sets of institutions – tech and gov (whatever form) — will increasingly be “tied by their hips,” as it were. Governments that can harness the tech-entrepreneurship vigor in their economies most effectively will “hunt mice” and excel. Those who stiﬂe will increasingly become irrelevant. But how do you do that without democracy or effective stakeholder governance being overtaken by tech? – You innovate in government and governance, so enable it to keep pace with tech. For the US, that means we need to infuse more AI, data science, and cutting-edge computing into the administration on all levels. That is the one thing about DOGE that is a helpful provocation. I’m not justifying its style or saying scrap humans by any means. And yes, governments, especially democratic ones, should sometimes slow things down to solicit all stakeholders’ inputs. But there’s no real excuse for the government resisting a thorough self-overhaul to get better at that when it relies on everybody else in society to have a growth-mindset and do exactly that. Only a government that leads by example can credibly require others to make sacriﬁces and change. So, innovate yourself to stay relevant.

WFA: How do you see emerging economies participating in—or being sidelined from—the future tech power structure?

OJG: Emerging economies have a potentially valuable advantage. Their institutions are not yet mature and are hence more fungible. The only good part about this is that there are fewer legacy structures and processes to dismantle as change becomes necessary. But in order to do that well, they also need competencies. Some do. Take the examples of Singapore, the UAE, Malaysia, Taiwan, Vietnam, or Kazakhstan. You can get a lot done if you upgrade traditional production factors like labor or infrastructure continuously through tech that ﬂows from international partnerships and openness to trade *while* at the same time educating your people. But today, I’d add the challenge of attracting data centers and large-scale AI compute to the picture. Malaysia, the UAE, and Saudi Arabia have done a good job in this regard. Kazakhstan is on its way. That requires leveraging existing positions like Malaysia’s place in the global

semiconductor industry and its universities, or Kazakhstan’s natural resources, the Middle Corridor logistics artery, and its place in the space economy value chain into new high-tech ones.nd health.

WFA: What role do private sector innovators (such as Big Tech ﬁrms) play in shaping geopolitical outcomes today? Are they becoming more powerful than states?

OJG: They have always been powerful and will become much so, yes. Just consider China’s construction, engineering, and tech companies building infrastructure and laying transmission cables in the Belt and Road. Or the big energy, aerospace, and tech firms in the US, which –alongside its startup ecosystem – are two key pillars for competition with China globally. And they can significantly influence national economic or political outcomes, public sentiments, etc. But I don’t think they outright threaten the standing of the nation state, which is more alive and well today than it was 10 years ago. You are out of a job much quicker than you are out of a citizenship. Governments offer social nets and militaries and have more ways to shape and rally identities than corporations do, for better or for worse. Of course, that depends on which corporation and which government you’re talking about. Is it true that the largest energy, minerals, or tech companies in the world have more power to pull strings for flows of assets between countries than – say – Ecuador does? – Of course, the answer is yes. Which is why every government needs to ask itself, “What are the assets we have that exert leverage on the big players we need to cooperate with, and how do I wield those to exercise as much formative power as possible?” Take the case of Botswana and its negotiations with DeBeers ten or so years ago, for instance. Far from perfect outcomes, but a good start. Countries can do the same things with big data center providers today as they ask them to build or bring energy sources, train workers, or ensure that local business also gets supplied with computing power. What assets do you have as a country to ensure that both you and the provider get what they want and need?

WFA: Given recent export controls and tech sanctions, is decoupling between global tech powers inevitable—or is interdependence still too strong to unravel?

OJG: Full decoupling will not and must not happen. Partial decoupling is more likely. Some degree of redundancy and resilience in global tech supply chains is just smart. Overreliance on any one country or technology provider is

to be recovered elsewhere in the global system of any given multinational. I think we’ll see new types of capabilities arise from that. Companies will become more geo-tech savvy with new strategies and designs. We will see the birth of new “smart logistics” providers and global trading platforms as well. They will likely build more intelligent, AI-infused regional and cross-regional operating systems for agile trade management. And we’ll see more bilateral and plurilateral accords that will try to address ineﬃciencies. Countries and countries alike will adopt more situational awareness that will not only help with trade wars, but also climate change and terrorism, just to name two other disruptive forces for trade routes.

WFA: How important is control over semiconductors and cloud infrastructure in determining geopolitical inﬂuence in this decade?

OJG: Very. But that doesn’t mean you should try to build it yourself. Rather, you’ll need alliances with the biggest chip producers and the government agencies overseeing them, and then build localized clouds with their help and potentially even national compute reserves and stockpiles. Remember also that not every application that generates signiﬁcant value requires the highest-end NVIDIA chipsets.

WFA: From your experience, how can smaller nations or alliances leverage niche expertise to remain relevant in the global tech hierarchy?

OJG: Take some examples: Israel is fantastic at cyber solutions, whether offensive or defensive. Kazakhstan has just developed the ﬁrst 150 billion token transformer model in Kazakh, Russian, and English, potentially establishing itself as a

way, Putin had played it right; instead of this Godforesaken war, he could have built a worldclass global super-ecosystem for space tech, given the Soviet legacy. If Ukraine gets peace, I have no doubt it will be a valuable global hub for frugal, smart defense tech. All of the countries of Central Asia could establish themselves as best-in-class for agritech, given that they supply so much. Vietnam has pockets of AI programmers that are well known globally, as does Canada – big country, small population, like Kazakhstan.

WFA: What are the risks of a fragmented digital world (i.e., “splinternets”) to innovation, security, and global governance?

OJG: That’s already happening. We need global AI and data accords, possibly a cyber accord tied to them. Nations need to start discussing what data can migrate beyond borders and what can’t, or under what types of safeguards, monitoring, and forensics protocols. This will become increasingly pressing because data is no longer a matter of consumer preferences and enterprise competitive intel. Now we’re talking people’s DNA, their phenoms, and even holistic simulations of their bodies, work, ﬁnancial and social relationships through digital twins that allow predictions of where they’re headed next in life.

PART II: The Rise of Techno-Globalism –Can Governance Catch Up?

To be continued…

https://www.linkedi n.com/in/olafgroth/

Visit Olaf’s LinkedIn proﬁle for more information on his work.

systems and generative models to ethical decision-making and predictive analytics, AI is no longer an emerging trend, it is the foundation of tomorrow.

The Top 100 AI Companies of the World 2025 by World Future Awards celebrates the global pioneers, disruptors, and visionaries who are driving this intelligent revolution These companies are selected not only for their innovation, but for their impact, responsibility, and potential to transform lives.

Each company featured has been carefully reviewed against key criteria, including innovation, value, delivery, impact, quality, and timeliness Just as important is their ability to lead with purpose, applying AI in ways that are not only effective but responsible and forward-looking.

This list is more than recognition, it’s a signal to the global market of who’s setting the pace in AI. From established tech leaders to fast-growing startups, the Top 100 AI Tech Companies 2025 represents the people and ideas shaping a more intelligent, connected, and resilient world.

A1X USA

https://www.1x.tech/

4Labs Technologies USA

Abacus.AI USA

Adaptive ML France

Adept AI USA

AdLunam British Virgin Islands

Aionics USA

All3 UK

Algo USA

AlphaSense USA

Anthropic USA

Antix USA

https://www.4labsinc.com/ https://abacus.ai/ https://www.adaptive-ml.com/ https://www.adept.ai/ https://adlunam.cc/ https://aionics.io/ https://all3.com/ https://www.algo.com/ https://www.alpha-sense.com/ https://www.anthropic.com/ https://antix.in/

Argilla Spain

Artefact France

https://argilla.io/ https://www.artefact.com/

Arthur AI USA

Atypical AI USA

https://www.arthur.ai/ https://www.atypicalai.com/

autone UK

https://autone.io/

Binarly USA

https://www.binarly.io/

Bioptimus France

https://www.bioptimus.com/

b-rayZ Switzerland

https://b-rayz.com/

Canvass AI Canada

Canvs AI USA

CaseText USA

https://www.canvass.io/ https://www.canvs.ai/ https://www.thomsonreuters.com/en/cocounsel

Caystard Group Intl. UK

https://www.caystard.group/

Cera UK

https://www.cerahq.com/

Cerebras Systems USA

https://www.cerebras.ai/

Chalk USA

CHARM Therapeutics UK

Charta Health USA

https://chalk.ai/?utm=linkedin https://charmtx.com/ https://www.chartahealth.com/

Chef Robotics USA

https://www.chefrobotics.ai/

CLARA Analytics USA

https://claraanalytics.com/

Cleanlab USA

https://cleanlab.ai/

ClearCOGs USA

https://www.clearcogs.com/

CloudMinds USA

https://www.cloudminds.com/

Cognition UK

https://www.cognitionhq.com/

Cohere Canada

DDatabricks USA

https://www.databricks.com/ https://www.dataiku.com/ https://www.deciphex.com/ https://deepmind.google/

Dataiku USA Deciphex Ireland DeepMind UK DeepSales USA

https://deepsales.com/ko/intro

Eightfold USA

https://eightfold.ai/

Elicit USA

ELTEMATE Netherlands

https://elicit.com/ https://eltemate.com/

https://www.feedhive.com/

https://cohere.com/ https://www.csm.ai/

FeedHive Switzerland Flip AI USA

https://www. ip.ai/

Common Sense Machines USA

Empowering Sustainable Wellness Through Empathetic and Proactive AI

about the company

Simple Life App is reshaping wellness through artiﬁcial intelligence, behavioral science, and human empathy.

Founded in Cyprus in 2019, the company aims to make sustainable weight loss both achievable and enjoyable. Recognized in 2025 among the World Future Awards’ Top 100 AI Technology Companies, Simple Life App is driving healthier lifestyles, one habit at a time.

Its core innovation is Avo, an AI health coach trained by top scientists and nutritionists. Avo delivers personalized, real-time guidance that adapts to each user’s lifestyle and progress, sending over 19 million messages in January 2025 alone. From proactive encouragement to natural voice interactions, Avo feels more like a supportive companion than a chatbot.

Simple’s features include smart camera meal feedback, adaptive fasting tools, and AI-generated fitness plans, all built on scientific principles and designed for ease of use. Using Just-In-Time Adaptive Interventions, it delivers timely nudges to keep users motivated. In 2025, a gamified wellness experience will make healthy habits engaging, like Duolingo for weight loss.

With 16.4 million pounds lost, 700,000+ active subscribers, and a 4.6/5 satisfaction rating, Simple’s impact is proven. Guided by personalization, simplicity, science, motivation, and continuous value, the app blends cutting-edge AI with compassionate coaching to help people live healthier, happier lives.

Learn more at www.simple.life https://simple.life/

https://www.fuseuniversal.com/

Fuse Universal UK G

Glean USA

https://www.glean.com/?utm_source=li nkedin&utm_medium=organic-social

Grammarly USA

https://www.grammarly.com/careers

Graphcore UK

https://www.graphcore.ai/

Greyparrot UK

https://www.greyparrot.ai/

HHarvey USA

https://www.harvey.ai/

HighSpot USA

https://www.highspot.com/ https://huggingface.co/

Hugging Face USA I

Imbue AI USA

https://imbue.com/

InFlux Technologies UK

https://runon ux.com/

Jua.ai Switzerland

https://jua.ai/

Kinnovia GmbH Germany

https://kinnovia.com/

Labelbox USA

https://labelbox.com/ https://browzwear.com/custom-ai -models-for-b2b-ecommerce

Lalaland.ai Netherlands LangChain USA

Legacy Network Liechtenstein

Longenesis Latvia

https://www.langchain.com/ https://www.legacynetwork.io/ https://www.longenesis.com/

Luxonis USA

https://www.luxonis.com/

Mistral AI France

https://mistral.ai/

Modular USA

https://www.modular.com/

MoogleLabs Canada

Moveworks USA

https://www.mooglelabs.com/ https://www.moveworks.com/

Nuro USA

https://www.nuro.ai/

One AI USA

https://oneai.com/

PLAUD.AI USA

PolyAI UK PrecisionLife UK Prediko UK

https://www.plaud.ai/ https://poly.ai/ https://precisionlife.com/ https://www.prediko.io/

Runway USA

SandboxAQ USA Scale AI USA

China Shield AI USA Sierra USA Simple Life App UK Singuli USA

https://singuli.co/ https://www.skydio.com/

USA USA Speexx Germany

https://www.snow re.ai/ https://www.speexx.com/ https://www.sensetime.com/en https://shield.ai/ https://sierra.ai/ https://simple.life/ https://runwayml.com/ https://www.sandboxaq.com/ https://scale.com/

Speexx, the global leader in AI-powered digital language training and business coaching, has been honored as one of the TOP 100 AI Tech Companies of 2025 by the prestigious World Future Awards (WFA). This recognition underscores Speexx’s continued commitment to revolutionizing workforce development through cutting-edge technology and a people-ﬁrst approach.

Selected from a highly competitive pool of global innovators, Speexx was recognized for its AI-driven platform that combines personalized language learning, skills assessment, and business coaching into a seamless corporate learning experience. Innovations such as the Speexx Matchmaker, Voice-Only Mode, and deep integrations with corporate LMS/LXP platforms were highlighted for their impact on scalability, personalization, and workforce agility.

“We are truly honored to be recognized by the World Future Awards as a global leader in AI-driven people development,” said Dikachi Chizim, PR & Content Manager at Speexx. “This award is a reﬂection of the passion and hard work of our entire team, our commitment to innovation, and our mission to empower organizations with future-proof learning solutions. Thank you to WFA for this prestigious recognition, it inspires us to continue reshaping the future of work.”

https://worldfutureawards.com/top-100/ https://worldfutureawards.com/top-100/ https://www.speexx.com/

The WFA accolade adds to Speexx’s impressive legacy of over 200 awards and aﬃrms its position as a transformative force in the EdTech sector. With this milestone, Speexx looks forward to expanding its reach, deepening partnerships, and leading the charge in building agile, multilingual, high-performing workforces across the globe.

For more information, visit www.speexx.com

SproutsAI USA

https://www.sproutsai.com/

Writer USA

https://writer.com/

Tabnine

Isreal

Talentium Sweden

Xeropan Hungary

https://xeropan.com/

Tevel Aerobotic Technologies

Israel

https://www.tabnine.com/ https://www.talentium.io/ https://www.tevel-tech.com/

zammo.ai USA

https://www.zammo.ai/

Zensai.com Denmark

https://zensai.com/

UBTECH

Isreal

UiPath USA

https://www.uipath.com/

Waste Robotics Canada Wayve UK

https://wasterobotic.com/ https://wayve.ai/

Wealth.com USA

https://www.wealth.com/

Workday

USA

https://www.workday.com/ https://www.ubtrobot.com/en/

W H AT T H I S R E C O G N I T I O N M E A N S

The WFA Top 100 AI Tech Companies 2025 list stands for trust, innovation, and credibility. It puts a spotlight on companies making a real impact in AI and gives them visibility among global partners, investors, and industry leaders.

Being named in the Top 100 helps build reputation and opens doors, whether for new business, partnerships, or funding. It shows others that your work stands out in a fast-moving, competitive space.

This recognition also connects you with a network of companies who are changing the future of technology. It’s a sign that you’re not just keeping up, you’re helping lead the way.

For many, it becomes a stepping stone to new markets, stronger brand positioning, and lasting influence.

Exclusive Interview with

Olaf J. Groth, PhD

FOUNDER, PROFESSOR BERKELEY, AUTHOR HELPING LEADERS SHAPE FUTURE DISRUPTED BY TECH & GEOPOLITICS

A Two-Part Conversation with Olaf J. Groth on Innovation, Power, and Global Governance – Part 2

In Part I of this exclusive interview, Olaf J. Groth explored the shifting geopolitics of innovation, outlining the forces that will shape the global tech landscape in the coming decades. He identiﬁed the “6Cs” — from cognitive technologies and CRISPR to climate change and China–US rebalancing — as key drivers of transformation, while stressing the foundational role of data, energy, and technical talent in the race for AI, quantum computing, and digital infrastructure leadership. Drawing comparisons between the US, China, and the EU, he highlighted each region’s strengths and vulnerabilities, examined the interplay between governments and private innovators, and addressed the opportunities and risks for emerging economies. Groth also war-

Questions:

ned of the challenges posed by fragmented “splinternets,” emphasising the need for new global accords on AI, data, and cybersecurity to ensure innovation thrives in an interconnected yet geopolitically tense world.

In Part II, Olaf J. Groth explores techno-globalism, the cross-border ﬂow of technology, talent, and data, and the governance challenges it creates. He discusses the need for adaptive institutions, cross-border standards for AI and data, and the FLP-IT framework for resilient tech strategies. He also highlights the role of “design activist leaders,” strategic insights for companies, and a proposed global policy for algorithmic account-ability to secure innovation, trust, and digital sovereignty.

PART : THE RISE OF TECHNO-GLOBALISM –CAN GOVERNANCE CATCH UP?

WFA: You’ve written about “techno-globalism.” How do you deﬁne it, and why is it so critical in today’s era of borderless technologies?

Olaf J. Groth: Techno-globalism, as I deﬁne it, is the cross-border ﬂow and interdependence of technologies, talent, data, and innovation systems that increasingly shape our global economy, governance structures, and societal norms. It’s the counterweight to techno-nationalism—where states seek to control and weaponize technology for strategic advantage.

complexity and scale of our shared challenges, from climate change to pandemics to digital security, demand collaborative technological solutions.

At the same time, techno-globalism raises urgent questions about digital sovereignty, ethical governance, and the balance between innovation and control. Navigating this tension is one of the deﬁning leadership challenges of our time.

WFA: Are current governance models—like those of the UN or WTO—equipped to regulate frontier technologies like AI and quantum, or do we need entirely new structures?

WFA: You’ve written about “techno-globalism.” How do you deﬁne it, and why is it so critical in today’s era of borderless technologies?

What makes techno-globalism so critical today is that we’re living in an era where technologies like AI, quantum computing, and biotech don’t respect national borders. Supply chains are global, talent is distributed, and data ﬂows are constant. No single country can—or should—go it alone. The complexity and scale of our shared challenges, from climate change to pandemics to digital security, demand collaborative technological solutions.

WFA: Are current governance models—like those of the UN or WTO—equipped to regulate frontier technologies like AI and quantum, or do we need entirely new structures?

OJG: I’d say current governance models like the UN, WTO, and even regional frameworks were built for a different era—one deﬁned by slower, more predictable industrial progress and nation- statecentric policymaking. They’re increasingly ill-equipped to regulate the pace, complexity, and boundary-blurring nature of frontier technologies like AI and quantum. They require more than an update –it’ll have to be a thorough upgrade or redesign.

These technologies evolve exponentially, transcend borders, and involve actors—corporations, labs, startups, even autonomous agents—that often operate outside traditional diplomatic channels. That doesn’t mean we discard existing institutions, but we do need new adaptive, polycentric structures that can govern in real time, across domains, and with input from a broader set of stakeholders—technologists, ethicists, civil society, and the private sector.

I’ve argued that this is not just a governance challenge; it’s a legitimacy challenge. If we don’t update our mechanisms for collective decisionmaking, we risk a vacuum—one that could be ﬁlled by digital authoritarianism, regulatory fragmentation, or techno-feudal power concentrations. The future demands governance that’s anticipatory, inclusive, and as agile as the

technologies it aims to steward.

WFA: Can you elaborate on what cross-border governance might look like for algorithms and data standards? Is this realistic in today’s divided world?

OJG: As I’ve written and spoken about, cross-border governance for algorithms and data standards isn’t just aspirational—it’s essential. Algorithms increasingly shape decisions across ﬁnance, healthcare, defense, and public discourse. Data fuels those algorithms, and both move ﬂuidly across borders, often without the consent or awareness of the individuals or societies affected.

What this governance might look like is a layered, modular system—not a one-size-ﬁts-all treaty, but a framework of interoperable standards and norms. Think of it as a digital Bretton Woods 2.0: agreements on transparency, accountability, and privacy that can be adapted locally but are rooted in shared principles. These could be stewarded by coalitions of like-minded countries, tech companies, and civil society actors, with auditability and conditional access baked in. It’s also where mechanisms like algorithmic passports, data trusts, or dynamic consent models come into play.

Is it realistic in today’s fragmented geopolitical climate? It’s hard—but fragmentation is precisely why it’s urgent. If we don’t build connective tissue across jurisdictions, we risk regulatory chaos, digital protectionism, or worse—technoauthoritarian lock-in. Techno-globalism demands that we ﬁnd ways to cooperate, even amid competition. The stakes are too high to leave governance as an afterthought.

WFA: In The Great Remobilization, you discuss “design activist leaders.” What qualities or mindsets deﬁne such a leader in a world of accelerating tech disruption?

OJG: In The Great Remobilization, we deﬁne “design activist leaders” as those who don’t just react to disruption – they shape its direction with intention, foresight, and moral clarity. These leaders recognize that we’re living in a liminal phase – a period between worlds – where old institutions are eroding and new systems are not yet fully formed. In that void, leadership becomes a design act. DALs pick very selectively which parts of old systems to keep and which to recombine or reinvent before they put new structures and systems in place.

• Zeroth Principles Discovery: Assumes that nothing is impossible – is not limited by the constraints of the current systems. DALs are able to “see / vision / imagine” new building blocks for better systems. They are not beholden to the well-trodden path of ﬁrst principles and well-

FLP-IT helps policymakers build more agile and resilient strategies by forcing a structured yet ﬂexible engagement with complexity:

• Forces: It begins by identifying macro forces— geopolitical shifts, emerging technologies, and ecological stresses—that are shaping the operating environment. For example, AI is not just a technical force but intersects with labor markets, security doctrines, and data sovereignty.

• Logics: Next, it challenges policymakers to rethink the logic of governance, markets, and society in light of these forces. What assumptions about power, trust, or institutional legitimacy no longer hold? What new governance models— polycentric, participatory, adaptive—might be needed?

• Phenomena: It then prompts the recognition of emergent patterns—new digital behaviors, spikes in mergers or divestitures, techno-economic clusters, and regulatory gaps. This helps leaders detect weak signals early, before they become systemic risks or missed opportunities.

• Impacts: FLP-IT emphasizes cross-sectoral implications. How will a decision on quantum encryption or digital trade rules ripple across health, education, or climate policy?

• Triage: Finally, it enables prioritization. In a resource-constrained world, what initiatives must be started, which legacy systems can be sunset, and where do we double down to future-proof our tech strategies?

This model doesn’t offer a ﬁxed blueprint—it offers a mindset and method for navigating ambiguity. It empowers policymakers not to simply react to disruption, but to design through it—proactively shaping a more coherent, valuesdriven, and interoperable technology future.

WFA: You’ve spoken with military, corporate, and civic leaders. What patterns of concern or opportunity do you hear most frequently from them?

OJG: In my conversations with military, corporate, and civic leaders across regions, a few patterns consistently emerge – both in terms of deep concern and strategic opportunity.

First, there’s a shared anxiety about losing control of complexity. Whether it’s generals grappling with autonomous systems in warfare, CEOs facing AI-driven business model disruption, or civic leaders navigating the misinformation crisis, they’re all contending with exponential technologies outpacing institutional readiness. The sense that our governance, ethics, and economic models were built for a slower era comes up again and again. There’s a reason we saw a record number of CEO ﬁrings or resignations last year in the US. Things are just getting too complex, too accelerated, and pressurized to stay on top of all that change justice quickly enough.

Second, there’s a growing recognition that trust is the most valuable currency. And it’s in short supply – hard to obtain and easy to lose. Leaders are worried about eroding public trust in institutions, platforms, and even scientiﬁc knowledge. That erosion creates volatility, and volatility corrodes the legitimacy needed to govern effectively in times of change.

But on the opportunity side, I hear a rising appetite for designing new systems, not just tweaking old ones. Military leaders are exploring how to build human-machine teaming frameworks grounded in ethical constraints. Corporate leaders are looking for data architectures and AI models that enable both personalization and privacy. Civic leaders are hungry for policy tools that foster agency and participation, especially for younger generations.

Across the board, I hear a desire for more anticipatory, cross-sectoral collaboration. Leaders know that no single institution can manage the intersection of tech, geopolitics, and economics alone. They’re looking for new alliances, new playbooks—and frameworks like FLP-IT—to help them reimagine resilience at scale.

WFA: How should companies prepare for the increasing intersection of geopolitics and digital governance?

OJG: As I wrote in my Feb 2024 article for the World Economic Forum, “Tech at the Centre of Geopolitics: 5 Strategic Capabilities for GeoTech Organizations:”

Develop radical foresight via systems thinking

As the WEF outlines, ﬁrms need foresight & systemthinking evaluation to sense and interpret integrated geotech forces—such as China, climate, cybersecurity, COVID-like bioshocks, and cognitive/crypto disruptions—in a uniﬁed way.

This means embedding horizon scanning, weak-signal detection, and complexity modeling into core strategy teams, not just R&D.

Use data-driven benchmarking to evaluate readiness

Establish metrics dashboards comparing your digital governance and geopolitical risk resilience against global best practices—precisely what “data-driven best practices benchmarking” calls for. This equips leadership with objective insights into where compliance, technology, or supply-chain resilience may fall short in different jurisdictions.

Run scenario simulations for portfolios and supply chains The framework’s “simulations of actors and positions” capability urges companies to stress-

Integrate geotech into budgets & execution

WEF highlights the need to integrate geotech considerations into both HQ and business unit planning—everything from intelligent supply- chain platforms to “nano-factory” models.In practice, that means tagging investments not just by ROI but by governance and sovereignty risk exposure.

Establish GeoTech Response Teams

A central “geotech response team,” staffed with multidisciplinary expertise—from cognitive science and climate policy to national security and tech ethics—anchors, calibrates, and operationalizes the above four capabilities across siloes. These teams, properly empowered by C-suite and board mandates, ensure cross-functional alignment and agility in responding to global digital-policy disruptions.

These ﬁve strategic capabilities support techno-geopolitical organizational readiness:

• They reinforce techno-geopolitical intelligence (point 1),

• Drive diplomatic agility & regulatory readiness (points 2–4),

• And parallel to my emphasis on companies becoming system designers, not just tech adopters (point 5).

In sum, preparing for the geopolitics-digital governance intersection means operationalizing these ﬁve capabilities—through foresight, data, simulation, budget discipline, and dedicated GeoTech teams. That combination builds the agility and resilience needed to not only weather but shape the digital geopolitics of the 21st century.

WFA: If you could implement one global policy tomorrow to improve the governance of frontier technologies, what would it be – and why?

OJG: If I could implement one global policy tomorrow to improve the governance of frontier technologies, it would be the mandatory creation and adoption of interoperable algorithmic transparency and accountability standards—anchored in principles of sovereignty, security, and shared innovation.

Why? Because algorithms now function as invisible infrastructure for everything from credit and healthcare access to military targeting and infrastructure resilience. Yet most of them operate in a black box—opaque to regulators, vulnerable to manipulation, and exploitable by bad actors. Without transparency, we cannot ensure security. And without shared standards, we risk both technological fragmentation and a race to the bottom in safety, ethics, and strategic control.

This global policy would establish a modular framework for algorithmic accountability that supports three imperatives:

National economic competitiveness – By providing clarity and trust in AI systems, such standards would reduce regulatory uncertainty, lower transaction costs for cross-border tech partnerships, and enable firms to scale innovations globally. Countries that help shape and adopt these standards would enjoy first-mover advantages in setting the rules of the game—much like GAAP or Basel III shaped global finance. This is about industrial policy via governance leadership. National security and cybersecurity – Transparent algorithms are harder to poison, spoof, or hijack. Interoperable audit protocols would help governments and vetted third parties detect adversarial inputs, algorithmic backdoors, or unintended escalation risks in defense and critical infrastructure systems. Think of it as a cybersecurity dividend from good governance. It would also enable more trusted AI cooperation among allies—especially where joint command, deterrence, or intelligence systems are involved. Digital sovereignty with global interoperability –Each country could adapt implementation to its legal system and cultural context, but within a shared framework of cross-border recognition— akin to “algorithmic passports” or mutual assurance treaties. This ensures that sovereignty and competitiveness don’t require autarky, and that open societies can remain open without becoming strategically exposed. This policy is not a silver bullet—but it gives us the architectural backbone to align innovation, trust, and power in the AI age. It’s a foundation for managing not just the tools we build, but the societal systems they are quietly redesigning beneath us. Without it, we risk drifting into a fragmented digital Cold War. With it, we have a shot at building a pluralistic, secure, and prosperous digital order.

Olaf, thank you for sharing your remarkable insights with World Future Awards and for continuing to inspire global dialogue around the future of innovation and governance. Your work is not only visionary but essential for navigating the complex intersections of technology, geopolitics, and leadership.

Visit Olaf’s LinkedIn proﬁle for more information on his work. https://www.linkedi n.com/in/olafgroth/

about the company

Adunlam is reshaping capital access in the decentralized economy, using Web3 and AI to shift opportunity from speculation to earned participation. Founded in 2021 during one of Web3’s longest bear markets, it has emerged as a category-deﬁning force for trust-driven growth.

At its core is Proof of Attention™, a protocol converting user engagement across Web2 and Web3, social interaction, community activity, on-chain behavior, into a portable reputation score, setting a new standard for access.

AdLunam’s ecosystem includes:

– gamiﬁed engagement building

– IDO platform linking aligned

– trading incentives based on

– accelerator for Web3 founders – inﬂuential brands like Altcoin Observer and Web3 Explained

Through its B2B partner network, AdLunam powers smarter fundraising, strategic discovery, and community alignment. Recognized globally, Best Web3 Investment & Engagement Platform by World Future Awards, it is led by founders Nadja Bester, Jason Fernandes, and Lawrence Hutson. By turning attention into trust and reputation into infrastructure, AdLunam is building a more inclusive Web3 economy.

https://adlunam.cc/ https://adlunam.cc/

Visit adlunam.cc to learn more about the award-winning company today.

https://ibvm.io/

about the company

IBVM (International Bitcoin Virtual Machine) is revolutionizing the blockchain industry as the world’s ﬁrst Bitcoin-native Zero-Knowledge Rollup Layer 2 with UTXO partitioning. Designed to push Bitcoin beyond its traditional role as a store of value, IBVM transforms the network into a programmable, scalable, and sustainable platform for decentralized ﬁnance (DeFi), smart contracts, and cross-chain innovation.

By merging Bitcoin’s unparalleled Layer 1 security with advanced rollup architecture, IBVM delivers 9,000+ transactions per second with near one-second finality. This breakthrough allows developers to deploy Ethereum-style smart contracts and decentralized applications (dApps) directly on Bitcoin, with every transaction verifiable on-chain. Through seamless interoperability across 60+ blockchains and 1,500+ digital assets, IBVM is redefining cross-chain functionality and unlocking new utility for the global crypto ecosystem.

Sustainability is at the core of IBVM’s design. Its novel rollup compression technology reduces Bitcoin’s energy footprint by 99.9%, lowering consumption from 438 GWh/day to just 0.438 GWh/day. This innovation not only enables more than $40 billion in annual savings but also positions IBVM as a green and future-ready blockchain solution.

IBVM is driving Bitcoin innovation with a wallet app boasting 100K+ downloads, 15K+ reviews, and a 4.9* rating, alongside services like Escrow and Swap and 200+ smart contracts on its testnet. Backed by $22.15M in funding, a $100M valuation, and a strong community, it is shaping the future of decentralized ﬁnance and blockchain infrastructure.

Learn more at www.ibvm.io https://ibvm.io/

Interview with:

LYDIA TERYOSHINA

SR. GTM LEAD FOR AZURE DIGITAL & APP INNOVATION

Women in AI and Tech: Lydia Teryoshina on Breaking Barriers and Leading Change

Voice of the future: Lydia Teryoshina on ethios, equity & the next era of Ai

A data & Ai expert at Mictosoft, driving growth and innovation in general europe

Lydia Teryoshina is one of the leading voices in Microsoft’s Azure business, driving digital transformation and innovation across Central Europe. With over 15 years in sales with experience spanning IT, pharma, logistics, and iGaming, she has a strong track record of scaling businesses and leading strategic initiatives. Since joining Microsoft in 2017, she has played a crucial role in expanding Azure Data & AI business, achieving remarkable business growth year over year. Her leadership has not only driven market success but also fostered partnerships, with ﬁve of her collaborators earning Microsoft’s Partner of the Year recognition between 2022 and 2024.

Recognized as one of the Most Inspiring Women in Technology 2024 by World Future Awards, Lydia is celebrated for her contributions to AI innovation and advocacy for diversity in tech. She is deeply committed to mentorship, championing women in AI and leadership roles.

In this interview, Lydia reﬂects on her career journey, discussing challenges for women in tech, the role of mentorship in career growth, and how diversity enhances AI innovation. She also shares key leadership insights and her vision for the future of AI, offering valuable lessons for both aspiring and experienced professionals in the ﬁeld.

Questions:

World Future Awards: What inspired you to pursue a career in AI and tech, and how did you navigate challenges as a woman in this ﬁeld?

Lydia Teryoshina: Back in the day, before I started my journey in IT, I had a bullet-proof stereotype that IT was all about coding, tech people working with computers, physical servers, and wires. I believed that only tech-savvy individuals could pursue a career in IT, and since I was into humanities, I thought there was no space for me in that direction.

To me, that wasn’t important since I was stuck with the wrong impression that my background wouldn’t allow me to enter the IT ﬁeld at all.

I have a degree in marketing and PR, but I moved into sales right after ﬁnishing university. It took several years and encouragement from close friends to realize that I could succeed in IT sales by focusing on my strengths. That’s how my journey as a Sales Manager in iGaming industry began.

Navigating challenges as a woman in this ﬁeld has been an ongoing process. I’ve learned to leverage my strengths in communication and relationship-building to carve out a space for myself. It’s been about breaking down those initial stereotypes and proving that there’s a place for diverse skill sets in tech. My journey has been about continuous learning, adapting, and ﬁnding ways to contribute meaningfully to the industry.

WFA: As someone who has scaled businesses and led strategic AI initiatives, what advice do you have for women looking to break into leadership roles in tech?

LT: My mentors have always emphasized the importance of focusing on the strengths of every individual, regardless of gender. We are all different, and by assessing ourselves properly, we can quickly discover that qualities like leadership, communication, and empathy are highly valued in any environment. This realization can drive us to seek new knowledge and gradually become more tech-savvy.

Today, the STEM gender gap persists*:

• Women make up 29% of the global STEM workforce.

• Women represent 35% of STEM graduates, a ﬁgure that has remained unchanged for a decade.

I believe that the journey starts from family and school, gradually inﬂuencing the lives of young women. In my view, a few fundamental principles must be followed to address the issue collectively:

• Spark Interest Early: Make STEM exciting for girls through hands-on learning, female role models, and mentorship.

• Build Bridges, Not Barriers: Create scholarships, networks, and career programs that support women in STEM.

• Fix the System, Not the Women: Ensure fair hiring, equal pay, and workplace policies that empower, not exclude.

• Rewrite the Narrative: Challenge stereotypes, amplify women’s voices in media, and make STEM accessible to everyone.

In general, I believe that women have the ability to adapt, be flexible, and creative. It’s quite easy to assess the need for resources within the IT field to bring value forward. For example, at Microsoft, women are excelling in all areas and roles of the industry, from CVPs and engineering/quantum computing to design, program management, sales, tech support, legal and corporate affairs, finance, and many more.

My advice to women looking to break into leadership roles in tech is to leverage your unique strengths, seek out mentors, and continuously learn and adapt. By doing so, you can carve out a space for yourself and make a signiﬁcant impact in the tech industry.

WFA: How do you see the role of women evolving in AI and data-driven industries over the next decade? What barriers still need to be addressed?

LT: Over the next decade, women will take on an even bigger role in shaping AI and data-driven industries. From healthcare and finance to manufacturing and the arts, they will drive innovation as researchers, engineers, policymakers, and business leaders. AI is no longer just about code — it’s about ethics, regulation, and human impact. As more women enter these critical fields, they contribute to building AI responsibly, ensuring it benefits everyone and that diverse perspectives become part of the new norm.

But challenges remain. Women are still underrepresented in technical and leadership roles, AI systems continue to reﬂect societal biases. Many talented women leave the ﬁeld due to workplace culture issues and limited career advancement. To change this, we need more accessible STEM education, stronger mentorship networks, fairer funding opportunities, and workplaces that truly support women’s growth. With the right changes, the next decade won’t just see more women in AI — it will see them leading the way.

WFA: Your career has spanned industries from IT to pharma to iGaming. What key lessons have you learned about adaptability and success in fast-changing environments?

LT: You’re absolutely right — I’ve moved across several roles and industries, from pharma to iGaming and then into IT. Each transition required me to build new relationships, adapt quickly, and continuously expand my skill set. These experiences reinforced how essential ﬂexibility and lifelong learning are to effective leadership — qualities that are becoming increasingly non-negotiable.

Since I have been in the sales business, where success depends on relationships with customers, I learned early on that the good old KYC (Know Your

how to articulate our positions with clarity & respect to be a successful part of a team.

Customer) approach is the best. Figuring out every possible detail about your customers is key to success, as it gives you more options to adapt to possible changes quickly because you are aware of their history.

When it comes to a corporate role, you must ensure you know your targets (both soft and numerical).

To sum up, here are the main points I rely on whenever progressing with my career:

• Embrace Change Proactively: Change is inevitable; it’s just a matter of time. Thus, don’t be afraid to change or step out of your comfort zone — be ﬂexible.

• Continuous Learning: I’ve faced my share of challenges when preparing for technical exams — they didn’t come naturally to me, but through focus, discipline, and a clear goal, I proved to myself that anything can be learned. Since then, I’ve not only earned those certiﬁcations but also become a Learning Champ, inspiring others to develop both technical expertise and the soft skills essential for effective collaboration.

• Collaboration and Communication: Regardless of all of us being authentic, we must be open to diverse opinions and learn

WFA: What are some pivotal moments or decisions in your career that helped shape your leadership style?

LT: Leadership isn’t about simply managing others. In fact, some of the least effective managers focus on increasing their number of direct reports instead of developing real leadership skills. I’ve spent many years as an individual contributor and have always felt conﬁdent in that role. It’s absolutely possible to earn respect across communities and from people at all levels — not through authority, but through impact, consistency, and inﬂuence.

Authenticity also plays a key role. It’s important to recognize that you won’t always be everyone’s ﬁrst choice — and that’s perfectly okay. What matters is staying true to your unique style and values. Blending in might seem like the easier route, but it doesn’t always support meaningful growth. At the same time, there’s no single path to success — everyone is working toward their own goals, and each journey is valid in its own way.

It all comes back to the idea that stepping outside your comfort zone isn’t just a challenge — it’s the norm for developing and stretching leadership skills.

WFA: You’ve led high-growth teams and worked closely with partners. How do you approach mentorship, and what impact do you think mentorship has on women in AI and tech?

LT: In the age of AI, which can sometimes feel intimidating, many women experience impostor syndrome. Having a mentor who validates their experiences and supports their growth can make all the difference in building the conﬁdence to take on challenges, speak up, and pursue leadership roles.

Mentors offer practical advice on critical aspects like salary negotiations, career transitions, project selection, and avoiding burnout. For women, particularly in male-dominated ﬁelds, having someone who truly “gets it” is invaluable for making strategic career decisions.

Mentorship is about gaining a fresh perspective. The journey to success often involves tough feedback from peers and mentors — feedback that is essential for growth and progress.

I encourage adopting a broader view by engaging with different people who contribute to your success, whether they are supporting your mental well-being (like a psychologist or coach) or helping you enhance both your soft and technical skills through career mentorship.

As mentioned earlier, it’s crucial to look up to someone who exempliﬁes the qualities you aspire to. Mentorship fosters representation and inclusion, proving that with the right approach, almost anything is possible.

WFA: What leadership strategies have helped you build trust and drive high performance in male-dominated industries?

LT: That’s a great and powerful question! While I don’t lead teams myself (yet ), here are leadership strategies that have consistently helped me as a woman to prevail in male-dominated environments:

• Show competence with conﬁdence: Know your stuff and speak up with clarity.

• Be consistent: Deliver reliably to earn respect and credibility.

• Contribute to psychological safety: Ensure everyone feels safe to speak.

• Call out bias tactfully: Address unfairness professionally to shift culture.

• Be authentic: Lean into your strengths; don’t try to ﬁt a mold.

• Support others: Mentor and sponsor to build trust and community.

• Focus on outcomes: Let results and impact do the talking.

WFA: AI systems are only as good as the data and perspectives that shape them. How does diversity, both in teams and leadership, lead to more responsible and innovative AI solutions?

LT: Diverse teams and leaders help build better, fairer & responsible AI. When people from different backgrounds work together, they bring different ideas, life experiences, and ways of thinking. This helps them notice problems others might miss, like bias in data or unfair results.

In AI, that’s really important. If only one type of person builds the system, it might not work well for everyone. But with a diverse team, the AI is more likely to be useful, fair, and safe for more people.

Diversity fosters more creative and effective solutions, as diverse perspectives drive innovation and generate long-lasting ideas.

In short: AI is smarter and more responsible when it’s shaped by a wide range of voices.

Thank you, Lydia, for sharing your insights, experiences, and leadership journey with us—it’s been truly inspiring to learn from your expertise and vision for the future of AI and tech.

Learn more about Lydia and her admirable career journey via her LinkedIn page https://www.linkedin.com/in/lydiateryoshina/

https://www.theastud y.com/?ref=wfa

In classrooms, libraries, and coffee shops around the world, students have always searched for the perfect study method. But where highlighters and handwritten ﬂashcards once ruled, a new kind of partner has stepped in. That partner is Thea Study, an AI-powered learning platform that has already been recognized as the Best AI-Powered Study Platform for Personalized Learning by World Future Awards.

What sets Thea apart is not its technology alone, but its philosophy. Thea doesn’t deliver shortcuts or easy answers; it delivers clarity. A set of lecture notes becomes a living study kit: interactive ﬂashcards, quizzes, and games that shift with the learner’s pace. It lingers where concepts are diﬃcult, accelerates when progress is fast, and evolves in real time so that no two students experience Thea in quite the same way.

The platform is built on ﬁve uncompromising pillars: personalization, empowerment, responsibility, trust, and access. These principles shape a system that teachers and parents can rely on, knowing that students are learning ethically, not bypassing the process. Unlike tools designed to “do the work,” Thea guides learners to discover answers for themselves, instilling resilience, conﬁdence, and true mastery.

Equally important is its reach. Thea was designed to cross borders, languages, and economic divides. With a mobile-ﬁrst model and support in more than 80 languages, it serves students from metropolitan universities to rural villages, offering the same quality of support regardless of geography or privilege. This commitment to equity has made Thea as much a social innovation as an educational one.

Learn more at www.theastudy.com https://www.theastudy. com/?ref=wfa

about the company

VVater, a Texas-based technology firm founded in 2022, is revolutionizing water treatment with its proprietary Advanced Low-Tension Electroporation Process (ALTEP). Winner of the 2025 World Future Awards for Best Sustainable Chemical-Free Water Treatment Solution, VVater eliminates the need for chemicals, filters, or membranes. Its Farady Reactor uses controlled electric fields to remove contaminants at the molecular level, producing ultra-pure water without harmful byproducts.

Unlike traditional systems reliant on costly, waste-intensive infrastructure, VVater offers a modular, scalable, and energy-eﬃcient alternative with a 20+ year lifespan and minimal maintenance. Solutions range from large-scale municipal installations to the mobile MDP 100 Alpha unit for rapid deployment and remote use.

Through its Water-as-a-Service (WaaS) model, VVater installs, operates, and maintains systems under long-term agreements, charging clients by usage, reducing upfront costs and risk. Industries from manufacturing and agriculture to food, beverage, and real estate are adopting VVater for safe, chemical-free water and sustainable reuse.

With the upcoming VVater Shield for homes, the company is bringing its innovation to consumers. By removing hard-to-treat pollutants like PFAS and pharmaceuticals, VVater is shaping a cleaner, more accessible water future, one that’s cost-effective, sustainable, and globally scalable.

Learn more at vvater.com. https://vvater.com/ https://vvater.com/

Making Waves in Times Square Celebrating the 2025 World Future Award for Best Water Treatment Solution &

In 2025, VVater was honored with the for Best Water Treatment Solution in scalable, chemical-free puriﬁcation technologies.

To mark this achievement, World Future Awards statement on one of the world’s most iconic stages, York. The campaign showcased VVater’s mission to address urgent global water challenges through sustainable technology that uses low-energy electric ﬁelds to eliminate contaminants and optimize mineral content at the molecular level.

From New York to the world, protecting water means protecting the future.

Article with

Jennifer

Arnold

ENGINEER / HEALTHCARE STARTUP EXECUTIVE / WOMEN’S HEALTH ADVOCATE

Women’s Health Deserves Personalization –Can AI Deliver?

Women’s healthcare has long relied on standardized protocols, a disservice to the nuanced needs of female physiology. Women drive 80% of healthcare decisions, yet 59% feel their needs are unmet1, revealing a market and clinical failure. Artiﬁcial intelligence (AI)—a probabilistic system that can learn from data and improve over time2—offers unprecedented potential to close this gap. But can these smart technologies truly deliver the personalized care women deserve?

HOW AI MAKES PERSONALIZATION POSSIBLE

AI’s power in women’s health lies in its ability to process vast, diverse data simultaneously. Modern neural networks—computational systems inspired by human brain connections—analyze hormonal patterns, genetics, symptoms, and behaviors, creating comprehensive models beyond traditional methods3. For endometriosis, where diagnosis averages 7-11 years4, AI systems show remarkable

accuracy in early detection by ﬁnding subtle connections doctors might miss during brief appointments. Speciﬁcally, a study published in the Journal of Biomedical Informatics demonstrated that machine learning algorithms, when trained on patient-reported symptoms and medical history, could identify women at high risk

for endometriosis with an accuracy of 89%5, helping reduce diagnostic delays. This means AI can sift through the complex web of symptoms, medical history, and even genetic predispositions to ﬂag at-risk individuals potentially earlier than traditional methods.

What makes these systems particularly valuable is their ability to recognize patterns over time. Recur- rent neural networks (RNNs), a specialized type of neural network, function like digital memory systems that remember past information, enabling them to track how female physiology changes through menstrual cycles, pregnancy, perimeno-pause, and beyond. Unlike standard neural networks that process each input independently, RNNs use feedback loops to give them a ‘memory’ of previous inputs, which is crucial for understanding sequential data3. Imagine an AI system that can analyze years’ worth of menstrual cycle data to predict

hormonal imbalances or identify early signs of ovarian disorders. This addresses a fundamental limitation in traditional medicine: the tendency to take isolated snapshots rather than analyzing the dynamic, cyclical nature of women’s health.

BUILDING ON LIMITED RESEARCH THROUGH SMART COMPUTING

Historically, women were excluded from clinical trials, creating knowledge gaps. Before 1993, when FDA guidelines changed, women of childbearing age were routinely excluded from drug studies 6 - resulting in treatments optimized for male physiology. AI offers a revolutionary solution: extracting meaningful insights even when female participants are a fraction of study populations.

Through a technique called “data augmentation,” AI can artiﬁcially expand limited female datasets7. Imagine having data from only 100 women in a clinical trial of 1,000 participants. AI can analyze these 100 cases intensively, identifying subtle patterns and generating synthetic data points that represent similar women with slightly varied characteristics. This computational approach effectively “ampliﬁes” the female voice in historical research without fabricating results. It is important to note that data augmentation is well-suited for predictive inference. However, these methods are not appropriate for determining the causal effect of the drug on a subpopulation of women. Data augmentation is best suited for prediction (what will happen) rather than causal analysis (why it will happen)8.

Similarly, “domain adaptation” algorithms can identify which insights from male-dominated studies might safely apply to women and which require female- specific recalibration. For example, an AI might recognize that a certain heart medication dosage needs adjustment for women due to physiological differences in metabolism and body weight9. Modern AI performs post-hoc analysis on published studies, extracting female-specific data that may have been collected but never separately analyzed. For example, by reanalyzing historical medical records and tracking treatments and responses over time, AI can reveal insights about medication dosing, side effect profiles, and treatment efficacy for women that have been hidden. A study published in The Lancet in 2022 highlighted how retrospective analysis of cardiovas- cular trials revealed significant differences in drug response and adverse effects between men and women, insights that were previously overlooked due to aggregated data10. This computational archaeo- logy reveals that many women have been consistently

overmedicated or undertreated based on malederived standards-problems AI can now help correct.

ENSURING RESPONSIBLE INNOVATION

Despite its promise, AI in women’s health faces substantial challenges. Algorithmic bias remains pervasive studies have shown that many healthcare algorithms underperform for racial and ethnic minorities due to biased training data. For example, A study revealed that AI tools used to diagnose asymptomatic bacterial vaginosis exhibited ethnic disparities11. This is because AI models learn from the data they are trained on, and if that data reﬂects existing biases, the AI will perpetuate them. Addressing this requires diverse development teams and training data, alongside rigorous validation across demographic groups.

Privacy concerns are equally critical given the sensitive nature of reproductive health data. Advanced protection techniques, such as differential privacy and federated learning, can safeguard individual information while preserving analytical insights12.

THE PATH FORWARD

As the femtech sector expands toward a projected $43 billion by 203413, AI stands poised to revolutionize women’s healthcare, offering a powerful tool to address systemic disparities. By leveraging AI’s capacity, we can uncover insights that have eluded traditional research methods, potentially saving millions of lives and billions in healthcare costs.

However, realizing this potential hinges on ethical implementation and inclusive design. As we stand at this technological crossroads, it is imperative that we approach AI development in women’s health with a focus on equity, transparency, and accountability. The power of AI to transform women’s healthcare is undeniable, but its impact—whether it narrows or widens health disparities—ultimately depends on how we choose to wield this powerful tool. By prioritizing diverse representation in AI development and rigorously addressing potential biases, we can ensure that this technological revolution truly serves all women, marking a new era of personalized, effective, and accessible healthcare.

Learn more aboutJennifer and her admirable career journey via her LinkedIn page https://www.linkedi n.com/in/jennifer-marnold/

https://worldfutureawards.com/application/