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Futurist Dr Mark van Rijmenam identifies the technology trends set to shape the world in 2025 and beyond
the world stands at the crossroads of exponential technological change and geopolitical disruption
delivering transformative advancements across industries and society
Yet, this rapid progress brings both opportunities and profound challenges—what futurist Dr Mark van Rijmenam calls the good
and the very ugly of technology and humanity
The backdrop to this reckoning is a world shaped by the second Trump presidency, where nationalist policies
and techno-geopolitical rivalries intensify global disruption
While some technologies promise to elevate humanity—ushering in new efficiencies
and greater connectivity—others erode trust
and challenge societal norms at an unprecedented scale
2025 will not just be a year of progress but one of reckoning
where society must confront the dual-edged nature of innovation
and regulate in this critical period will shape the trajectory of the coming decade
In 2025, AI will be everywhere, transforming industries and everyday interactions. Agentic AI enables autonomous decision-making and task automation but raises accountability concerns
Companies like McKinsey and JPMorgan leverage fine-tuned large language models (LLMs)
driving innovation and competition with tools like Llama
Edge AI improves efficiency and privacy by processing data on local devices
while invisible AI integrates seamlessly into daily life
AI also amplifies societal issues such as job displacement and filter bubbles
and inclusive governance to ensure AI serves humanity’s best interests while mitigating its risks
Source: The Digital Speaker
trust and truth face unprecedented challenges as generative AI
and misinformation erode our ability to discern reality from fabrication
Hyper-realistic deepfakes—ranging from fake videos of leaders to government-created digital personas—will sow confusion and disrupt businesses
Resilience becomes crucial in combating these threats
Families and organizations will rely on practical strategies
fostering environments where employees feel empowered to question suspicious activity
Media literacy education and advanced detection tools will play vital roles in exposing fake content and preserving authenticity
Social media platforms, such as X may exacerbate the problem by amplifying misinformation and reinforcing divisive echo chambers
In the absence of comprehensive regulations governing AI and synthetic media
bad actors will exploit these technologies
The challenge ahead lies in rebuilding trust in a world where even tangible truths can be digitally distorted
Addressing this requires collective action
and a commitment to transparency to protect the integrity of information and restore confidence in what we see
In 2025, the volume of data and content will soar to unprecedented levels, driven by AI’s relentless creation of synthetic information
Generative AI already produces 57% of web-based text
with projections that 90% of online content will be synthetic by 2026
and complicates decision-making across society
The challenge is filtering relevance and credibility amid this information overload
AI risks creating a self-reinforcing loop by relying on synthetic outputs
potentially undermining its own effectiveness
Individuals face data fatigue from constant notifications
while businesses struggle with decision fatigue
with 79% identifying data management as their greatest challenge
the spatial internet and metaverse introduce immersive 3D content
making the evaluation of information even more challenging
Platforms like Futurwise aim to transform chaos into clarity
helping individuals and organizations navigate this overwhelming landscape
The question remains: can we effectively harness tools to distill clarity from the flood of information
or will we be swept away by its relentless tide
The answer will shape how society adapts to an era of synthetic content and perpetual updates
tokenization of real-world assets (RWAs) will revolutionize finance by integrating tangible assets like commercial real estate
and carbon credits into the digital economy
Blockchain technology enables fractional ownership
and drawing institutional giants like BlackRock into this transformative space
with RWAs projected to unlock trillions in value
Dynamic NFTs (dNFTs) will redefine asset representation by updating in real time to reflect changes in usage or conditions
bridging static ownership with evolving realities
Regulatory clarity from regions like Singapore and the EU has provided a framework for innovation while protecting investors
and platforms like Fermion and Securitize are leading the charge with compliance-friendly ecosystems
Centralized platforms could undermine decentralization
and over-financialization could lead to speculative bubbles akin to the 2008 crisis
Success in tokenization will depend on secure platforms
As RWAs reshape global finance
the focus must remain on responsible adoption to ensure a transparent and inclusive financial future while mitigating potential pitfalls
In 2025, “The Big Crunch” underscores the looming threat quantum computing poses to traditional encryption systems like RSA and ECC
potentially endangering global security across banking
a major player—be it a government or Big Tech—may crack a critical encryption algorithm
though secrecy will likely delay public acknowledgment for strategic cyber warfare advantages
Efforts to mitigate this risk include NIST’s quantum-safe standards and early adoption in sectors like banking and defense
driven by startups like PQShield and tech giants like Google
transitioning to quantum-resistant cryptography (PQC) is resource-intensive
requiring significant investment and expertise
Small and medium-sized enterprises (SMEs) face steep barriers
while uneven global readiness—especially between the U.S.
and China—risks deepening geopolitical divides
quantum computing promises transformative benefits in AI
the strategic secrecy surrounding quantum decryption and the uneven pace of preparedness amplify risks
As quantum computing nears its “ChatGPT moment” in 2025
urgent action is needed to secure digital trust and economic systems
augmented reality (AR) will revolutionize how we interact with the world
blending digital and physical realities seamlessly
focusing on developing mass-market AR glasses with lightweight
These innovations will enable immersive experiences across industries such as healthcare
with enterprise applications and diverse pricing expected to boost adoption
providing users with contextual information about their environments and systems
including risks like real-time doxxing and data surveillance
Over-reliance on AR could diminish critical thinking
and monopolized platforms may restrict user autonomy
AR offers opportunities to enhance productivity and customer engagement
while governments must implement regulations to protect privacy and ensure equitable access
The future of AR in 2025 hinges on balancing its transformative potential with ethical oversight
shaping its role as either a tool for innovation or a source of division
humanoid robots will transition from prototypes to integral workforce tools
revolutionizing industries like healthcare
Robots are already transforming restaurants by cooking and serving food
while aged care facilities are exploring humanoid solutions to combat labor shortages and address the needs of aging populations
many aged care facilities are expected to be predominantly staffed by humanoid robots
taking on repetitive tasks and filling workforce gaps
Innovations from leaders like China and the USA
2025 will introduce specialized humanoids optimized for unique tasks
featuring forms like extra limbs or non-human locomotion
Advances in AI will improve robot adaptability
enabling collaboration with humans and effective operation in complex environments
Collaborative robots (cobots) are increasingly common
Humanoids are set to reshape workflows across sectors
addressing critical challenges with innovation
healthcare will continue its transition from reactive treatment to a proactive model aimed at predicting
Wearable devices like smartwatches and the Oura Ring already empower individuals with real-time insights
detecting conditions like sleep apnea and encouraging healthier habits
IoT-enabled monitoring systems and AI-driven analysis of medical records and genetic profiles further support early interventions
and Mayo Clinic’s individualized medicine highlight the growing potential for tailored healthcare
enabling individuals to make informed decisions and prevent crises
Insurance models are adapting by rewarding preventive behaviors with dynamic premiums
fostering early interventions but also raising concerns about accessibility and equity
While proactive healthcare can reduce system strain and improve outcomes
cost and infrastructure disparities risk deepening healthcare divides
As AI and wearable technologies integrate further in 2025
their impact will hinge on addressing these challenges
determining whether they bridge gaps or exacerbate inequalities in healthcare access
In 2025, Trump’s presidency will significantly impact technology through protectionist policies
Companies like Tesla and X stand to gain from favorable policies
while Apple’s China-reliant supply chains may face disruption due to tariffs
Proposals to repeal Biden’s AI Executive Order and eliminate Section 230 protections signal turbulence for Big Tech
Deregulation will fuel rapid growth in crypto markets
bolstered by Bitcoin innovation and accumulation
this growth comes with increased risks to ethics
with companies like SpaceX and Anduril advancing defense-focused AI tools and autonomous weapons
embedding Silicon Valley further into geopolitics and defense strategies
As Big Tech navigates this landscape of favoritism
its ability to balance innovation with accountability and ethical considerations will shape the technological and societal trajectory of 2025
navigating exponential technological change requires balancing innovation
and the EU regulates” reflects how different nations approach this challenge
and spatial intelligence but risks ethical issues
and societal disruption if not guided by foresight
may prioritize rapid innovation over ethical considerations
leveraging first-mover advantages but risking long-term accountability
Imitation accelerates technological adoption but exacerbates copyright disputes
which could stifle originality and slow progress
Over-regulation in the EU curtails creativity
China’s adaptive model positions it as a potential leader in technological advancement
Global cooperation is necessary to tackle challenges like AI ethics
and individuals must hold stakeholders accountable
The harmony of these strategies will determine whether 2025 becomes a year of opportunity or disruption
As we stride into 2025, the so-called Year of Reckoning
ten seismic trends chart a world reshaped by disruption
and an overwhelming flood of synthetic information challenge our perceptions of truth and redefine our relationship with technology
blockchain and Real World Assets (RWAs) usher in novel financial frontiers
and quantum computing emerges as both a formidable risk and an unprecedented opportunity
Augmented reality and humanoid robots blur the boundaries between the physical and digital realms
while advances in proactive healthcare reimagine the very essence of well-being
the fallout from Trumpian policies fragments globalization
societies grapple with the triad of innovation
striving to adapt to an accelerating technological trajectory
The decisions we make now will ripple through generations
defining whether exponential technologies become tools of empowerment or engines of disparity
Let’s seize this moment not with trepidation but with purpose
Let the reckoning of 2025 inspire a vision of possibility—a future that is innovative
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Ahmed Ishtiaque|2025-05-05T06:03:34+12:005 May 2025|News|
Ahmed Ishtiaque|2025-05-05T06:00:26+12:005 May 2025|News|
Usman Ali|2025-05-04T19:10:01+12:004 May 2025|News|
Usman Ali|2025-05-04T19:05:54+12:004 May 2025|News|
David McNickel|2025-05-04T15:25:07+12:004 May 2025|News|
Auckland / Melbourne / London / New York / Tokyo
own shares in or receive funding from any company or organisation that would benefit from this article
and has disclosed no relevant affiliations beyond their academic appointment
University of Technology Sydney provides funding as a founding partner of The Conversation AU
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When Google’s algorithm AlphaGo beat South Korean Go Grandmaster Lee Se-dol by 4-1 last week
it was a significant event in the world of algorithms and artificial intelligence
This is because it represented a new form of artificial intelligence: intuitive artificial intelligence
something which is remarkably more challenging than standard artificial intelligence
The disruption happening thanks to algorithms is happening all around us
but uses smart algorithms to connect drivers and passengers
The largest telephone company in the world
owns no inventory but uses algorithms to help others sell products
Companies like Uber, WhatsApp and Alibaba clearly show that smart algorithms can disrupt an entire industry. But we are just at the start of this disruption and the coming decade will likely see all industries being disrupted thanks to algorithms. Gartner calls this trend the “Algorithmic Business” and it will fundamentally change how we do business
With the advance of technology, companies and consumers are generating more and more data. Some organisations, such as Walmart
create and store dozens of petabytes a day
But collecting and storing massive amounts of data is not enough to gain competitive advantage
organisations must do more than simply analyse the data
It’s now about what actions you can derive from your data in order to add value
Algorithms define actions and they are pieces of software that are extremely good at very specific actions, much better than humans are. As a result, the more algorithms are used within organisations; the more people will be out of a job in the future. In fact, 2013 research from Oxford University and Deloitte estimated that in the UK alone
more than 35% of current jobs are at high risk due to computerisation
The same research estimated that almost 47% of US jobs could be lost due to algorithmic business within one or two decades
A society with nearly half of the workforce without a job does sound frightening
but if we prepare ourselves now it also offers great possibilities to drastically improve our societies
This enhanced use of algorithms is happening at a staggering pace
Already organisations like Associated Press use algorithms to write financial reports at a rate of 2000 stories per minute
these are not in-depth award-winning articles
involving stock market performance and corporate profits
Does that mean robot journalists are putting journalists out of business
although the developments in artificial intelligence that can write a readable novel are progressing rapidly
Another example in the financial world is the Venture Capital firm Deep Knowledge Ventures
this Hong Kong VC fund appointed an algorithm to its board of directors that gets to vote on whether an investment in a certain company is made or not
The VC fund focuses on life sciences and age-related disease projects and the algorithm
analyses data from multiple sources including clinical trials
Although the algorithm is not yet running the VC fund by itself
it is a giant leap forward in how venture capital firms approach investments
A third disruptive algorithm is Chef Watson
the supercomputer from IBM that acts as your personal chef
Founded on extensive research and using IBM Watson’s supercomputer
the algorithm is capable of creating unique recipes based on all the ingredients in the world
human taste preferences and thousands of recipes from Bon Appetit
Users can simply enter several ingredients and Chef Watson comes up with a wide range of recipes ranging from very experimental to more traditional
how can you apply algorithms to gain competitive advantage and ensure your business doesn’t become redundant
There are five steps you can follow to automate your business:
1) Determine which processes within your business can be automated and think out-of-the-box when you do so
who would have thought that financial reporting could be automated
2) Secondly, collect and store data. Algorithms require lots of it to make validated decisions. Find relevant data sources that you can use and make your business environment smart by applying the internet of things to tap into new data sources;
3) Ensure that you collect high-quality data because feeding your algorithms low-quality data will provide poor results;
improve in a continuous cycle to create better algorithms that can add value to your business;
5) Repeat the first four steps to slowly automate more processes within your business
The move towards algorithms is happening fast
It’s therefore important for us to be aware how algorithms will change how we do business
how we live and how we run our societies because before we know it