Tag: Innovation

5/5 (2)

AI adoption is no longer a question of if, but how fast and how well. Most organisations are exploring AI in some form, but they’re moving at very different speeds.

The ones seeing the most value share a few traits: cross-functional collaboration, strong leadership sponsorship, and tight alignment between business and tech. That’s how they sharpen focus, deploy critical skills where it matters, and accelerate from idea to outcome.

But the gap between ambition and execution is real. As one executive put it, “We’ve seen digital natives do in 24 hours what takes our industry six months.” The risks of getting it wrong are just as real; think of Zillow’s USD 500M loss from overreliance on flawed AI models.

When done right, AI benefits every part of the organisation; not just data teams.

“Our AI-powered screening for insurance agents fast-tracks candidate selection by analysing resumes and applications to pinpoint top talent.” – HR Leader

“Conversational AI delivers 24/7 customer engagement, instantly resolving queries, easing team workload, and boosting CX.” – CX Leader

“AI transforms work by streamlining workflows and optimising transport routes, making operations faster and smarter.” – Operations Leader

“Using AI to streamline our sales pipeline has cut down the time it takes to qualify leads, enabling our team to focus on closing more deals with greater precision.” – Sales Leader

“We’re unlocking data value: AI agents personalise customer support at scale, while AI-driven network optimisation ensures seamless IT operations.” – Data Science Leader

In the short term, most businesses are focusing on operational efficiency, but the real wins will be in longer-term innovation and financial value.

For tech teams, this means delivering robust, scalable AI systems while supporting responsible experimentation by business teams – all in a fast-moving, high-stakes environment.

However, that’s not easy.

• High Costs. AI requires substantial upfront and operational spend. Without measurable outcomes, it’s hard to justify scaling.

• Security & Governance Risks. AI heightens exposure to bias, misuse, and compliance gaps. Most organisations lack mature guardrails to manage this.

• Regulatory Uncertainty. Shifting global policies make it difficult to design AI systems that are both future-proof and compliant.

• Skills Shortage. There’s a growing gap in AI and data expertise. Without the right talent, even promising use cases falter.

• Data Challenges. AI needs vast, high-quality data, but many organisations struggle with silos, poor lineage, and inconsistent standards.

Yet the toughest obstacles aren’t technical.

• Limited AI Fluency at the Top. Many leaders lack a practical understanding of AI’s capabilities and constraints, slowing decisions and making cross-functional alignment difficult.

• No Clear Ownership or Strategy. Without clear ownership, AI efforts remain scattered across IT, innovation, and business teams, leading to fragmentation, misalignment, and stalled progress.

• Unclear ROI and Benefits. AI’s value isn’t always immediate or financial. Without clear metrics for success, it’s hard to prioritise initiatives or secure sustained investment.

• Short-Term Pressure. The push for quick wins and fast ROI often comes at the expense of long-term thinking and foundational investments in AI capabilities.

• Rigid Business Models. AI demands adaptability in processes, structures, and mindsets. But legacy workflows, technical debt, and organisational silos frequently stand in the way.

• Change Management is an Afterthought. Many AI efforts are tech-first, people-later. Without early engagement and capability building, adoption struggles to gain traction.

Bridging the Innovation-AI Gap: The Power of Ecosystems

Bridging this gap between AI ambitions and success requires more than technology; it needs a coordinated ecosystem of vendors, enterprises, startups, investors, and regulators working together to turn innovation into real-world impact.

Public-private partnerships are key. In Singapore, initiatives like IMDA’s Spark and Accreditation programmes tackle this head-on by spotting high-potential startups, rigorously validating solutions, and opening doors to enterprise and government procurement. This approach de-risks adoption and speeds impact.

• For Enterprises. It means quicker access to trusted, local solutions that meet strict performance and compliance standards.

• For Startups. It unlocks scale, credibility, and funding.

• For the Economy. It creates a future-ready digital ecosystem where innovation moves beyond the lab to drive national competitiveness and growth.

5/5 (1)

Australia is making meaningful progress on its digital journey, driven by a vibrant tech sector, widespread technology adoption, and rising momentum in AI. But realising its full potential as a leading digital economy will depend on bridging the skills gap, moving beyond surface-level AI applications, accelerating SME digital transformation, and navigating ongoing economic uncertainty. For many enterprises, the focus is shifting from experimentation to execution, using technology to drive efficiency, resilience, and measurable outcomes.

Increasingly, leaders are asking not just how fast Australia can innovate, but how wisely. Strategic choices made now will shape a digital future grounded in national values where technology fuels both economic growth and public good.

These five key realities capture the current state of Australia’s technology landscape, based on insights from Ecosystm’s industry conversations and research.

1. Responsible by Design: Australia’s Path to Trusted AI

AI in Australia is progressing with a strong focus on ethics and public trust. Regulators like ASIC and the OAIC (Office of the Australian Information Commissioner) have made it clear that AI systems, especially in banking, insurance, and healthcare, must be transparent and fair. Banks like ANZ and Commonwealth Bank, have developed responsible AI frameworks to ensure their algorithms don’t unintentionally discriminate or mislead customers.

Yet a clear gap remains between ambition and readiness. Ecosystm research shows nearly 77% of Australian organisations acknowledge progress in piloting real-world use cases but worry they’re falling behind due to weak governance and poor-quality data.

The conversation around AI in Australia is evolving beyond productivity to include building trust. Success is now measured by the confidence regulators, customers, and communities have in AI systems. The path forward is clear: AI must drive innovation while upholding principles of fairness, transparency, and accountability.

2. The New AI Skillset: Where Data Science Meets Compliance and Context

Australia is on track to face a shortfall of 250,000 skilled workers in tech and business by 2030, according to the Future Skills Organisation. But the gap isn’t just in coders or engineers; it’s in hybrid talent: professionals who can connect AI development with regulatory, ethical, and commercial understanding.

In sectors like finance, AI adoption has stalled not due to lack of tools, but due to a lack of people who can interpret financial regulations and translate them into data science requirements. The same challenge affects healthcare, where digital transformation projects often slow down because technical teams lack domain-specific compliance and risk expertise.

While skilled migration has rebounded post-pandemic, the domestic pipeline remains limited. In response, organisations like Microsoft and Commonwealth Bank are investing in cross-skilling employees in AI, cloud, and risk management. Government initiatives such as CSIRO’s Responsible AI program and UNSW’s AI education efforts are also working to build talent fluent in both technology and ethics.

Despite these efforts, Australia’s shortage of hybrid talent remains a critical bottleneck, shaping not just how fast AI is adopted, but how responsibly and effectively it is deployed.

3. Beyond Coverage: Closing the Digital Gap for Regional Australia

Australia’s vast geography creates a uniquely local digital divide. Despite the National Broadband Network (NBN) rollout, many regional areas still face slow speeds and outages. The 2023 Regional Telecommunications Review found that over 2.8 million Australians remain without reliable internet access. Industries suffer tangible impacts. GrainCorp, a major agribusiness, uses AI to communicate with workers during the harvest season, but regional connectivity gaps hinder real-time monitoring and analytics. In healthcare, the Royal Flying Doctor Service reports that poor internet reliability in remote areas undermines telehealth consultations, particularly crucial for Indigenous communities.

Efforts to address these gaps are underway. Telstra launched satellite services through partnerships with Starlink and OneWeb to cover remote zones. However, these solutions often come with prohibitive costs, particularly for smaller businesses, farms, and community organisations that cannot afford private network infrastructure.

The implications are clear: without reliable and affordable internet, regional enterprises will struggle to adopt AI, cloud-based systems, and digital tools that drive efficiency and equity. The next step must be a coordinated approach involving government, telecom providers, and industry, focused not just on coverage, but on quality, affordability, and support for local innovation. Bridging this digital divide is not simply about infrastructure, it’s about ensuring inclusive access to the tools that power modern business and essential services.

4. Resilience Over Defence: Australia’s Evolving Cybersecurity Focus

Australia’s cyber landscape has shifted sharply following major breaches like Optus, Medibank, and Latitude Financial, which pushed cybersecurity to the top of national agendas. In response, regulators and organisations have adopted a more urgent, coordinated stance. Under the Security of Critical Infrastructure (SOCI) Act, critical sectors must now report serious incidents within hours, enabling faster, government-led responses and stronger collective resilience.

Organisations across sectors are stepping up their defences, moving from reactive measures to proactive preparedness. NAB confirmed that it spends over USD 150M annually on cybersecurity, focusing on real-time threat hunting, simulation exercises, and red teaming. Telstra continues to run annual “cyber war games” involving IT, legal, and crisis communications teams to prepare for worst-case scenarios.

This collective focus signals a broader shift across Australian industries: cybersecurity maturity is no longer judged by perimeter defence alone. Instead, resilience – an organisation’s ability to detect, respond, and recover swiftly – is now the benchmark for protecting critical assets in an increasingly complex threat landscape.

5. Designing for the Long Term: Sustainability as a Core Capability

Organisations across Australia are under growing pressure – not only from regulators, but also from investors, customers, and communities – to demonstrate that their digital strategies are delivering real environmental and social outcomes. The bar has shifted from ESG disclosure to ESG performance. Technology is no longer just an efficiency lever; it’s expected to be a catalyst for sustainability transformation.

This expectation is especially acute in Australia’s core industries, where environmental impact is both material and highly scrutinised. In mining, for example, Rio Tinto’s 20-year renewable energy deal with Edify Energy aims to cut emissions by up to 70% at its Queensland aluminium operations by 2028. But the focus on transition is not limited to high-emission sectors. In financial services, institutions are actively supporting the shift to a low-carbon economy, from setting long-term net-zero targets to aligning lending practices with climate goals, including phasing out support for high-emission assets.

Yet for many, the path forward is still fragmented. ESG data often sits in silos, legacy systems constrain visibility, and ownership of sustainability metrics is scattered. Digital transformation efforts that treat ESG as an add-on, rather than embedding it into the foundations of data, governance, and decision-making, risk missing the mark. Australia’s next digital frontier will be measured not just by innovation, but by how effectively it enables a low-carbon, inclusive, and resilient economy.

Shaping Australia’s Digital Future

Australia’s technology journey is accelerating, but significant challenges must be addressed to unlock its full potential. Moving beyond basic digitalisation, the country is embracing advanced technologies as essential drivers of economic growth and productivity. Strong government initiatives and investments are creating a foundation for innovation and building a highly skilled digital workforce. However, overcoming barriers such as talent shortages, infrastructure gaps, and governance complexities is critical. Only by tackling these obstacles head-on and embedding technology deeply across organisations of all sizes can Australia transform automation into true data-driven autonomy and new business models, securing its position as a global digital leader.

5/5 (1)

AI can no longer be treated as a side experiment; it is often embedded in core decisions, customer experiences, operations, and innovation. And as adoption accelerates, so does regulatory scrutiny. Around the world, governments are moving quickly to set rules on how AI can be used, what risks must be controlled, and who is held accountable when harm occurs. 

This shift makes Responsible AI a strategic imperative – not just a compliance checkbox. It’s about reducing reputational risk, protecting customers and IP, and earning the trust needed to scale AI responsibly. Embedding transparency, fairness, and accountability into AI systems isn’t just ethical, it’s smart business. 

Understanding the regulatory landscape is a key part of that responsibility. As frameworks evolve, organisations must stay ahead of the rules shaping AI and ensure leadership is asking the right questions.  

EU AI Act: Setting the Standard for Responsible AI  

The EU AI Act is the world’s first comprehensive legislative framework for AI. It introduces a risk-based classification system: minimal, limited, high, and unacceptable. High-risk applications, including those used in HR, healthcare, finance, law enforcement, and critical infrastructure, must comply with strict requirements around transparency, data governance, ongoing monitoring, and human oversight. Generative AI models above certain thresholds are also subject to obligations such as disclosing training data sources and ensuring content integrity. 

Although an EU regulation, the Act has global relevance. Organisations outside the EU may fall within its scope if their AI systems impact EU citizens or markets. And just as the GDPR became a de facto global standard for data protection, the EU AI Act is expected to create a ripple effect, shaping how other countries approach AI regulation. It sets a clear precedent for embedding safety, accountability, and human-centric principles into AI governance. As a result, it is one of the most closely tracked developments by compliance teams, risk officers, and AI governance leads worldwide.  

However, as AI governance firms up worldwide, Asia Pacific organisations must look beyond Europe. From Washington to Beijing, several regulatory frameworks are rapidly influencing global norms. Whether organisations are building, deploying, or partnering on AI, these five are shaping the rules of the game.  

AI Regulations Asia Pacific Organisations Must Track 

1. United States: Setting the Tone for Global AI Risk Management 

The U.S. Executive Order on AI (2023) signals a major policy shift in federal oversight. It mandates agencies to establish AI safety standards, governance protocols, and risk assessment practices, with an emphasis on fairness, explainability, and security, especially in sensitive domains like healthcare, employment, and finance. Central to this effort is the NIST AI Risk Management Framework (AI RMF), quickly emerging as a global touchstone. 

Though designed as domestic policy, the Order’s influence is global. It sets a high bar for what constitutes responsible AI and is already shaping procurement norms and international expectations. For Asia Pacific organisations, early alignment isn’t just about accessing the U.S. market; it’s about maintaining credibility and competitiveness in a global AI landscape that is rapidly converging around these standards. 

Why it matters to Asia Pacific organisations 

• Global Supply Chains Depend on It. U.S.-linked firms must meet stringent AI safety and procurement standards to stay viable. Falling short could mean loss of market and partnership access. 

• NIST Is the New Global Benchmark. Aligning with AI RMF enables consistent risk management and builds confidence with global regulators and clients. 

• Explainability Is Essential. AI systems must provide auditable, transparent decisions to satisfy legal and market expectations. 

• Security Isn’t Optional. Preventing misuse and securing models is a non-negotiable baseline for participation in global AI ecosystems. 

2. China: Leading with Strict GenAI Regulation 

China’s 2023 Generative AI Measures impose clear rules on public-facing GenAI services. Providers must align content with “core socialist values,” prevent harmful bias, and ensure outputs are traceable and verifiable. Additionally, algorithms must be registered with regulators, with re-approval required for significant changes. These measures embed accountability and auditability into AI development and signal a new standard for regulatory oversight. 

For Asia Pacific organisations, this is more than compliance with local laws; it’s a harbinger of global trends. As major economies adopt similar rules, embracing traceability, algorithmic governance, and content controls now offers a competitive edge. It also demonstrates a commitment to trustworthy AI, positioning firms as serious players in the future global AI market. 

Why it matters to Asia Pacific organisations 

• Regulatory Access and Avoiding Risk. Operating in or reaching Chinese users means strict content and traceability compliance is mandatory. 

• Global Trend Toward Algorithm Governance. Requirements like algorithm registration are becoming regional norms and early adoption builds readiness. 

• Transparency and Documentation. Rules align with global moves toward auditability and explainability. 

• Content and Data Localisation. Businesses must invest in moderation and rethink infrastructure to comply with China’s standards. 

3. Singapore: A Practical Model for Responsible AI 

Singapore’s Model AI Governance Framework, developed by IMDA and PDPC, offers a pragmatic and principles-led path to ethical AI. Centred on transparency, human oversight, robustness, fairness, and explainability, the framework is accompanied by a detailed implementation toolkit, including use-case templates and risk-based guidance. It’s a practical playbook for firms looking to embed responsibility into their AI systems from the start. 

For Asia Pacific organisations, Singapore’s approach serves as both a local standard and a launchpad for global alignment. Adopting it enables responsible innovation, prepares teams for tighter compliance regimes, and builds trust with stakeholders at home and abroad. It’s a smart move for firms seeking to lead responsibly in the region’s growing AI economy. 

Why it matters to Asia Pacific organisations 

• Regionally Rooted, Globally Relevant. Widely adopted across Southeast Asia, the framework suits industries from finance to logistics. 

• Actionable Tools for Teams. Templates and checklists make responsible AI real and repeatable at scale. 

• Future Compliance-Ready. Even if voluntary now, it positions firms to meet tomorrow’s regulations with ease. 

• Trust as a Strategic Asset. Emphasising fairness and oversight boosts buy-in from regulators, partners, and users. 

• Global Standards Alignment. Harmonises with the NIST RMF and G7 guidance, easing cross-border operations. 

4. OECD & G7: The Foundations of Global AI Trust 

The OECD AI Principles, adopted by over 40 countries, and the G7 Hiroshima Process establish a high-level consensus on what trustworthy AI should look like. They champion values such as transparency, accountability, robustness, and human-centricity. The G7 further introduced voluntary codes for foundation model developers, encouraging practices like documenting limitations, continuous risk testing, and setting up incident reporting channels. 

For Asia Pacific organisations, these frameworks are early indicators of where global regulation is heading. Aligning now sends a strong signal of governance maturity, supports safer AI deployment, and strengthens relationships with investors and international partners. They also help firms build scalable practices that can evolve alongside regulatory expectations. 

Why it matters to Asia Pacific organisations 

• Blueprint for Trustworthy AI. Principles translate to real-world safeguards like explainability and continuous testing. 

• Regulatory Foreshadowing. Many Asia Pacific countries cite these frameworks in shaping their own AI policies. 

• Investor and Partner Signal. Compliance demonstrates maturity to stakeholders, aiding capital access and deals. 

• Safety Protocols for Scale. G7 recommendations help prevent AI failures and harmful outcomes. 

• Enabler of Cross-Border Collaboration. Global standards support smoother AI export, adoption, and partnership. 

5. Japan: Balancing Innovation and Governance 

Japan’s AI governance, guided by its 2022 strategy and active role in the G7 Hiroshima Process, follows a soft law approach that encourages voluntary adoption of ethical principles. The focus is on human-centric, transparent, and safe AI, allowing companies to experiment within defined ethical boundaries without heavy-handed mandates. 

For Asia Pacific organisations, Japan offers a compelling governance model that supports responsible innovation. By following its approach, firms can scale AI while staying aligned with international norms and anticipating formal regulations. It’s a flexible yet credible roadmap for building internal AI governance today. 

Why it matters to Asia Pacific organisations 

• Room to Innovate with Guardrails. Voluntary guidelines support agile experimentation without losing ethical direction. 

• Emphasis on Human-Centred AI. Design principles prioritise user rights and build long-term trust. 

• G7-Driven Interoperability. As a G7 leader, Japan’s standards help companies align with broader international norms. 

• Transparency and Safety Matter. Promoting explainability and security sets firms apart in global markets. 

• Blueprint for Internal Governance. Useful for creating internal policies that are regulation-ready. 

Why This Matters: Beyond Compliance 

The global regulatory patchwork is quickly evolving into a complex landscape of overlapping expectations. For multinational companies, this creates three clear implications: 

• Compliance is no longer optional. With enforcement kicking in (especially under the EU AI Act), failure to comply could mean fines, blocked products, or reputational damage. 

• Enterprise AI needs guardrails. Businesses must build not just AI products, but AI governance, covering model explainability, data quality, access control, bias mitigation, and audit readiness. 

• Trust drives adoption. As AI systems touch more customer and employee experiences, being able to explain and defend AI decisions becomes essential for maintaining stakeholder trust. 

AI regulation is not a brake on innovation; it’s the foundation for sustainable, scalable growth. For forward-thinking businesses, aligning with emerging standards today will not only reduce risk but also increase competitive advantage tomorrow. The organisations that win in the AI age will be the ones who combine speed with responsibility, and governance with ambition. 

5/5 (1)

As one of Asia’s most digitally mature economies, Singapore was an early mover in national digital transformation and is now turning that head start into resilient, innovation-led economic value. Today, the conversation across boardrooms, regulators, and industry circles has evolved: it’s no longer just about adopting technology but about embedding digital as a systemic driver of competitiveness, inclusion, and sustained growth.

Singapore’s approach offers a model for the region, with its commitment to building a holistic digital ecosystem. This goes beyond infrastructure, it includes nurturing digital talent, fostering a vibrant innovation and startup culture, enabling trusted cross-border data flows, and championing public-private collaboration. Crucially, its forward-looking regulatory stance balances support for experimentation with the need to uphold public trust.

Through our conversations with leaders in Singapore and Ecosystm’s broader research, we see a country intentionally architecting its digital future, focused on real-world outcomes, regional relevance, and long-term economic resilience.

Here are five insights that capture the pulse of Singapore’s digital transformation.

Theme 1: Digital Governance as Strategy: Setting the Pace for Innovation & Trust

Singapore’s approach to digital governance goes beyond policy. It’s a deliberate strategy to build trust, accelerate innovation, and maintain economic competitiveness. The guiding principle is clear: technology must be both transformative and trustworthy.

This vision is clearly visible in the public sector, where digital platforms and services are setting the pace for the rest of the economy. Public service apps are designed to be citizen-centric, secure, and efficient, demonstrating how digital delivery can work at scale. The Government Tech Stack allows agencies to rapidly build and integrate services using shared APIs, cloud infrastructure, and secure data layers. Open data initiatives like Data.gov.sg unlock thousands of datasets, while tools such as FormSG and SG Notify make it easy for any organisation to digitise services and engage users in real time.

By leading with well-designed digital infrastructure and standards, the public sector creates blueprints that others can adopt, lowering the barriers to innovation for businesses of all sizes. For SMEs in particular, these tools and frameworks offer a practical foundation to modernise operations and participate more fully in the digital economy.

Singapore is also setting clear rules for responsible tech. IMDA’s Trusted Data Sharing Framework and AI Verify establish standards for secure data use and transparent AI, giving businesses the certainty they need to innovate with confidence. All of this is underpinned by strategic investments in digital infrastructure, including a new generation of sustainable, high-capacity data centres to meet growing regional demand. In Singapore, digital governance isn’t a constraint, it’s a catalyst.

Theme 2: AI in Singapore: From Experimentation to Accountability

Few places have embraced AI’s potential as strongly as Singapore. In 2022 and 2023, fuelled by the National AI Strategy and commercial pressure to deliver results, organisations across industries rushed into pilots in 2022 and 2023. Ecosystm research shows that by 2024, nearly 82% of large enterprises in Singapore were experimenting with AI, with 37% deploying it across multiple departments.

However, that initial wave of excitement soon gave way to realism. Leaders now speak candidly about AI fatigue and the growing demand for measurable returns. The conversation has shifted from “What can we automate?” to “What’s actually worth scaling?” Organisations are scrutinising whether their AI projects deliver tangible value, integrate into daily operations, and meet evolving regulatory expectations.

This maturity is especially visible in Singapore’s banking sector, where the stakes are high and scrutiny is intense. Banks were among the first to embrace AI aggressively and are now leading the shift toward disciplined prioritisation. From actively hunting down use cases, they’ve pivoted to focusing on the select few that deliver real business outcomes. With increasing pressure to ensure transparency, auditability, and alignment with global standards, finance leaders are setting the tone for AI accountability across the economy.

The result: a more grounded, impact-focused AI strategy. While many regional peers are still chasing pilots, Singapore is entering a new phase, defined by fewer but better AI initiatives, built to solve real problems and deliver meaningful ROI.

Theme 3: The Cyber Imperative: Trust, Recovery, and Resilience

Singapore’s digital leadership brings not only opportunities but also increased exposure to cyber threats. In 2024 alone, the country faced 21 million cyberattacks, ranking eighth globally as both a target and a source. High-profile breaches, from vendor compromises affecting thousands of banking customers to earlier incidents like the SingHealth data breach, have exposed vulnerabilities across critical sectors.

These incidents have sparked a fundamental shift in Singapore’s cybersecurity mindset from building impenetrable digital fortresses to embracing digital resilience. The government recognises that breaches are inevitable and prioritises rapid containment and recovery over prevention alone. Regulatory bodies like MAS have tightened incident reporting rules, demanding quicker, more transparent responses from affected organisations.

For enterprises in Singapore, cybersecurity has moved beyond a technical challenge to become a strategic imperative deeply tied to customer trust and business continuity. Leaders are investing heavily in real-time threat detection, incident response, and crisis management capabilities. In a landscape where vulnerabilities are real and constant, cyber resilience is now a critical competitive advantage because in Singapore’s digital economy, trust and operational reliability are non-negotiable.

Theme 4: Beyond Coding: Singapore’s Quest for Hybrid Digital Talent

Singapore’s digital ambitions increasingly depend on its human capital. While consistently ranking high in global talent competitiveness, the city-state faces a projected shortfall of over 1.2 million digitally skilled workers, particularly in fields like cybersecurity, data science, and AI engineering.

But the challenge isn’t purely technical. Organisations now demand talent that bridges technology, business strategy, and regulatory insight. Many digital initiatives stall not from technology limitations, but from a lack of professionals who can translate complex digital concepts into business value and ensure regulatory compliance.

To address this, government initiatives like the TechSkills Accelerator (TeSA) offer training subsidies and career conversion programmes. Meanwhile, leading tech providers including AWS, Microsoft, Google, and IBM, are stepping up, partnering with government and industry to deliver specialised training, certification programmes, and talent pipelines that help close the skills gap.

Still, enterprises grapple with keeping pace amid rapid technological change, balancing reskilling local talent with attracting specialised professionals from abroad. The future of Singapore’s digital economy will be defined as much by people as by technology; and by the partnerships that help bridge this critical gap.

Theme 5: Tracking Impact, Driving Change: Singapore’s Sustainability and Tech Synergy

Sustainability remains a core pillar of Singapore’s digital ambitions, driven by the government’s unwavering focus and supportive green financing options unlike in some markets where momentum has slowed. Anchored by the Singapore Green Plan 2030, the nation aims to double solar energy capacity and reduce landfill waste per capita by 30% by 2030.

Digital technology plays a critical role in this vision. Initiatives like the Green Data Centre Roadmap promote energy-efficient infrastructure and sustainable cooling technologies, balancing growth in the digital economy with carbon footprint management. Singapore is also emerging as a regional hub for carbon services, leveraging digital platforms such as the Carbon Services Platform to track, verify, and trade emissions, fostering credible and transparent carbon markets.

Government-backed green financing schemes, including the Green Bond Grant Scheme and Sustainability-Linked Loans, are accelerating investments in eco-friendly projects, enabling enterprises to fund sustainable innovation while meeting global ESG standards.

Despite these advances, leaders highlight challenges such as the lack of standardised sustainability metrics and rising risks of greenwashing, which complicate scaling green finance and cross-border sustainability reporting. Still, Singapore’s ability to integrate sustainability with digital innovation underscores its ambition to be more than a tech hub. It aims to be a trusted leader in building a responsible, future-ready economy.

From Innovation to Lasting Impact

Singapore stands at a critical inflection point. Already recognised as one of the world’s most advanced digital economies, its greatest test now is execution transforming cutting-edge technology from promise into real, everyday impact. The nation must balance rapid innovation with robust security, while shaping global standards that reflect its unique blend of ambition and pragmatism.

With deep-rooted trust across government, industry, and society, Singapore is uniquely equipped to lead not just in developing technology, but in embedding it responsibly to create lasting value for its people and the wider region. The next chapter will define whether Singapore can move from digital leadership to digital legacy.

5/5 (2)

Digital transformation in the Philippines has moved from being a goal to an essential part of how organisations operate, compete, and serve their communities. This shift is evident across sectors – from  financial services and government to education, healthcare, and commerce – as digital platforms become integral to everyday life. 

In recent years, the country has been recognised as a leading improver in the UN E-Government Development Index, reflecting steady advances in digital public service delivery. Yet, progress across all sectots has been uneven, influenced by a mix of geography, regulation, and existing infrastructure. Organisations continue to adapt, responding to fast-paced technological change, rising user expectations, and an increasingly interconnected global digital economy. 

Through a series of roundtables with national leaders, Ecosystm examined the realities of digital transformation on the ground. What emerged were valuable insights into what’s working and where challenges and shifts are reshaping the definition of success in this evolving stage of digital maturity.   

Theme 1: Strengthening the Foundations for Nationwide Digital Equity 

The Philippines is advancing steadily in digitalisation, especially in Metro Manila and major urban centres, though the full benefits have yet to reach all regions evenly. Rural provinces and smaller islands face ongoing challenges with broadband access, latency, and mobile coverage, reflecting the country’s unique geography and historic underinvestment in digital infrastructure. 

National programs like the National Broadband Plan and Free Wi-Fi for All have established important foundations. Fibre rollouts by private telecom providers are extending coverage, but last-mile connectivity in geographically isolated and disadvantaged areas (GIDAs) still needs attention. Bridging this gap is key not only for broader inclusion but also to enable widespread adoption of technologies such as cloud computing, AI, and edge solutions. 

Achieving nationwide digital transformation requires a focused effort on regional infrastructure as a driver of inclusive growth. This involves co-investment, innovative public-private partnerships, and policies supporting shared towers, data centres, and satellite-backed connectivity. This benefits enterprises and critical citizen services like e-learning, e-health, and digital banking. 

Theme 2: From Outsourcing Hub to Innovation Engine – The Next Chapter for Talent 

The Philippines has established a strong global presence as a trusted centre for BPO and IT-enabled services, contributing nearly 9% to the national GDP and employing over 1.5 million professionals. In recent years, this foundation has rapidly evolved, with talent increasingly taking on complex roles in knowledge process outsourcing (KPO), AI annotation, fintech support, and cybersecurity operations. 

This shift reflects a broader transformation – from a labour-cost-driven outsourcing model to a high-skill, innovation-focused services economy. However, this transition is placing growing demands on the talent pipeline. Skilled cloud engineers, AI developers, and cybersecurity experts remain in short supply, with demand surpassing the current capacity of training and reskilling programs. 

To fully unlock its potential, the country needs to future-proof its talent ecosystem. This includes expanding technical education, strengthening collaboration between academia and industry, scaling national upskilling initiatives, and creating incentives that encourage tech professionals to build their careers locally. With targeted investment, the digital workforce can become a powerful competitive advantage on the global stage.  

Theme 3: Government Digitalisation Is Accelerating – But Interoperability Remains a Challenge 

The Philippines has made major progress in digitising government services – from online business registrations via Business Name Registration System (BNRS) to digital ID rollout through PhilSys (Philippine Identification System), and integrated platforms like eGov PH Super App. The pandemic accelerated adoption of e-payment systems, telemedicine, and virtual public services, driving faster digital transformation across agencies. 

Despite this progress, interoperability challenges remain a key hurdle. Many government agencies still rely on siloed legacy systems that limit seamless data exchange. This fragmentation affects real-time decision-making, slows service delivery, and creates a fragmented experience for citizens and enterprises navigating multiple platforms. 

Going forward, the priority is system-wide integration. Building a truly citizen-centric digital government requires interoperable data architectures, strong privacy-by-design frameworks for cross-agency collaboration, and scalable API-driven platforms that enable secure, real-time connections between national and local government systems. A connected digital state not only boosts efficiency but also strengthens public trust and paves the way for more adaptive, responsive services. 

Theme 4: Cyber Resilience Is No Longer Optional – It’s Strategic 

As digital transformation accelerates, the Philippines has become one of Southeast Asia’s most targeted countries for cyberattacks – particularly in sectors like financial services, critical infrastructure, and government. High-profile breaches at agencies such as PhilHealth, the Philippine Statistics Authority, and COMELEC have brought cybersecurity to the forefront of national priorities. 

Regulatory steps such as the Cybercrime Prevention Act and the establishment of the Department of Information and Communications Technology (DICT) Cybersecurity Bureau have laid important groundwork. Yet, enterprise readiness remains uneven. Many organisations still rely on outdated defences, limited threat visibility, and ad hoc response plans that are outpaced by today’s threats. More importantly, many still look at cyber purely from a compliance angle.  

As AI, IoT, and cloud-based platforms scale, so too does the attack surface. Cyber resilience now demands more than compliance – it requires dynamic risk management, skills development, intelligence sharing, and coordinated action across sectors. The shift from reactive to adaptive security is becoming a defining capability for both public and private institutions.  

Theme 5: Financial Access at the Grassroots: The Digital Shift 

One of the Philippines’ most notable digital transformation successes has been in fintech and digital financial services. Platforms like GCash, Maya, and the government’s Paleng-QR PH program have significantly expanded access to cashless payments, savings, and credit – especially among unbanked and underbanked communities. 

By 2024, nearly 80% of Filipinos were using mobile financial apps – a striking milestone that reflects not only growing digital adoption but also evolving cultural and economic behaviours. From sari-sari stores to market vendors, digital wallets are reshaping everyday commerce and opening new avenues for financial empowerment at the grassroots level. 

Still, digital inclusion is not automatic. Maintaining this momentum will require continued investment in digital literacy – particularly for older adults, rural communities, and lower-income groups – as well as stronger measures for cybersecurity, consumer protection, and interoperable ID and payment systems. Done right, digital finance can serve as the foundation for a more inclusive and resilient economy. 

A Moment to Rethink What Progress Looks Like 

As digital systems take root across the Philippines’ economy and institutions, the focus is shifting from speed to staying power. The next phase will depend on the country’s ability to translate broad adoption into long-term value – through strategies that are inclusive, resilient, and built to scale. 

5/5 (2)

We’re entering a new cycle of PC device growth, driven by the end-of-life of Windows 10 and natural enterprise upgrade cycles, brought into alignment by the COVID-era device boom. In Asia Pacific, PC shipments are expected to grow by 4-8% in 2025. The wide range reflects uncertainty linked to the US tariff regime, which could impact device pricing and availability in the region as manufacturers adjust to shifting demand globally.

To AI or Not to AI?

“AI PCs” (or Copilot PCs) are set to become a growing segment, but real AI benefits from these devices are still some way off. Microsoft’s announcement to embed Agentic AI capabilities into the OS marks the first step toward moving AI processing from the cloud to the desktop. However, for most organisations, these capabilities remain 12-24 months away.

This creates a strategic question: should organisations invest now in NPU-enabled devices that may not deliver immediate returns? Given typical refresh cycles of 3-5 years, it’s worth considering whether local AI processing could become relevant during that time. The safer bet is to invest in Copilot or AI PCs now, as the AI market is evolving rapidly; and the chances of NPUs becoming useful sooner rather than later are high.

Is the Desktop Being Left Behind?

PC market growth is concentrated in the laptop segment, drawing most manufacturers and chip providers to focus their innovation there. AI and Copilot PCs have yet to meaningfully enter the desktop space, where manufacturers remain largely focused on gaming.

This creates a gap for enterprises and SMEs. AI capabilities available on laptops may not be mirrored on desktops. Recent conversations with infrastructure and End-User Computing (EUC) managers suggest a shift in Asia Pacific toward laptops or cloud/ virtual desktop infrastructure (VDI) devices, including thin clients and desktops. If this trend continues, organisations will need to re-evaluate employee experience and ensure applications are designed to match the capabilities of each device type and user persona.

Fundamental EUC Drivers are Changing

As EUC and infrastructure teams revisit their strategies, several foundational drivers are undergoing significant change:

• Remote work is no longer a default. Once considered the norm for information workers, remote work is now being reconsidered. With some organisations mandating full-time office returns, device strategies must adapt to a more hybrid and unpredictable working model.
• Employee Experience is losing budget priority. During the pandemic, keeping employees productive and engaged was critical. But with rising cost pressures, growing automation through GenAI and Agentic AI, and changing labour dynamics, EX is no longer a top enterprise priority and budgets reflect that shift.
• Cloud-based EUC solutions are now enterprise-ready. Since 2022, cloud adoption in EUC has accelerated. Solutions like Microsoft 365, Google Workspace, AWS WorkSpaces, and VMware Horizon Cloud now offer mature capabilities. Unified Endpoint Management (UEM) is increasingly cloud-managed, enabling more scalable and agile IT operations.
• Zero-trust is moving security closer to the user. EUC security is evolving from perimeter-based models to identity-centric, continuous verification approaches. Investments in EDR, AI-driven threat analytics, MFA, biometric authentication, and proactive threat hunting are now standard, driven by the shift to zero trust.
• Device diversity is increasing. Standardised device fleets are giving way to more diverse options – touchscreen laptops, foldables, and a broader mix of PC brands. Enterprise offerings are expanding beyond traditional tiers to meet varied needs across user personas.
• Metrics are shifting from technical to outcome-based. Traditional KPIs like uptime and cost are giving way to metrics tied to business value – employee productivity, experience, collaboration, cyber resilience, and adaptability. EUC success is now measured in terms of outcomes, not just infrastructure performance.

Build a Modern and Future-Ready EUC Strategy

Organisations must reassess their plans to align with changing business needs, user expectations, and operational realities. Modern EUC strategies must account for a broad set of considerations.  

Key factors to consider:

Strategic Business Alignment

• Business Outcomes. EUC strategies must align with core business goals such as boosting productivity, enhancing employee experience, improving customer outcomes, and driving competitive advantage. Consider how device choices enable new work models, such as remote/hybrid setups, gig workforce enablement, and cross-border collaboration.
• Digital Transformation Fit. Ensure EUC refresh cycles are integrated with broader digital transformation efforts – cloud migration, AI adoption, automation, and innovation. Devices should be future-ready, capable of supporting the AI and automation needs of 2026 and beyond. While some workloads may shift to the cloud, others like GenAI-powered video and image creation, may demand stronger local processing across the broader workforce, not just specialist teams.

Technology Considerations

• Device Selection.  Move beyond the old “one device per persona” approach. Build a flexible device ecosystem that supports a range of employee types, from frontline workers to power users, while allowing for broader device choices based on real usage patterns. Evaluate form factors like desktops, laptops, tablets, smartphones, and thin/zero clients. With the rise of Desktop-as-a-Service (DaaS), thin clients are becoming more viable, offering cost savings and better security without compromising user experience.
• Flexibility of Choice. High-end features – lightweight design, long battery life, sleek aesthetics – are no longer limited to exec devices. I am currently writing this on a loan device – a Lenovo ThinkPad X1 Carbon Gen 13 Aura Edition – a freakishly light, powerful and slim device with LONG battery life – a device typically targeted towards the top tier of business leaders. But today, many of the features of this device run through the entire Lenovo laptop ecosystem – the “Aura” tag appears in many of the device SKUs and ranges. Hopefully the days of senior management getting the great looking devices and everyone else getting ugly bricks are behind us!
• Operating Systems and Compatibility. Ensure compatibility with current and planned business applications, cloud services, and collaboration tools. Consider ease of management and integration into existing IT ecosystems (such as Windows, macOS, Android, Chrome OS, Linux environments).
• Cloud Integration. Evaluate cloud-readiness and seamless integration capabilities with popular productivity suites (Microsoft 365, Google Workspace), hybrid cloud, and SaaS applications. Leverage VDI, DaaS or application virtualisation solutions to reduce hardware dependency and streamline maintenance.

User Experience

• Employee Productivity and Engagement. Even as EX slips down the priority list – and the budget – EUC leaders must still champion intuitive, user-friendly devices to boost productivity and reduce training and support demands. Seamless collaboration is critical across physical, remote, and hybrid teams. In-office collaboration is back in focus, but its value depends on digitising outcomes: laptops, smartphones, and tablets must enable AI-driven transcription, task assignment, and follow-up tracking from physical or hybrid meetings.
• Personalisation and Mobility. Where practical, offer device personalisation through flexible BYOD or CYOD models. Even in industries or geographies where this isn’t feasible, small touches like device colour or accessories, can improve engagement. UEM tools are essential to enforce security while enabling flexibility.
• Performance and Reliability. Choose devices that deliver the right performance for the task, especially for users handling video, design, or AI workloads. Prioritise long battery life and reliable connectivity, including Wi-Fi 6/7 and 5G where available. While 5G laptops are still rare across many Asia Pacific markets, that’s likely to change as networks expand and manufacturers respond to demand.
• Localised Strategy. Given the distributed nature of many organisations in the region, support and warranty strategies should reflect local realities. Tiered service agreements may provide better value than one-size-fits-all premium coverage that’s difficult to deliver consistently.

Security and Compliance

• Cybersecurity Posture. EUC teams typically work hand-in-hand with their cyber teams in the development of a secure EUC strategy and the deployment of the preferred devices. Cybersecurity teams will likely provide specific guidance and require compliance with local and regional regulations and laws. They will likely require that EUC teams prioritise integrated security capabilities (such as zero-trust architectures, endpoint detection and response – EDR solutions, biometrics, hardware-based security features like TPM). Consider deploying AI-driven endpoint threat detection and response tools for proactive threat mitigation.
• Data Privacy and Regulatory Compliance. Assess devices and management systems to ensure adherence to local regulatory frameworks (such as Australia’s Privacy Act, Singapore’s PDPA, or the Philippines’ Data Privacy Act). Deploy robust policies and platforms for data encryption, remote wiping, and identity and access management (IAM).

Management, Sustainability and Operational Efficiency

• Unified Endpoint Management (UEM). Centralise device management through UEM platforms to streamline provisioning, policy enforcement, patching, updates, and troubleshooting. Boost efficiency further with automation and self-service tools to lower IT overhead and support costs.
• Asset Lifecycle Management (ALM). While many organisations have made progress in optimising ALM – from procurement to retirement – gaps remain, especially in geographies outside core operations. Use device analytics to monitor health, utilisation, and performance, enabling smarter refresh cycles and reduced downtime.
• Sustainable IT and CSR Alignment. Choose vendors with strong sustainability credentials such as energy-efficient devices, ethical manufacturing, and robust recycling programs. Apply circular economy principles to extend device lifespan, reduce e-waste, and lower your carbon footprint. Align EUC strategies with broader CSR and ESG goals, using device refresh cycles as opportunities to advance sustainability targets and reinforce your organisation’s values.

Cost and Investment Planning

• Total Cost of Ownership (TCO). Evaluate TCO holistically, factoring in purchase price, operations, software licensing, security, support, warranties, and end-of-life costs. TCO frameworks are widely available, but if you need help tailoring one to your business, feel free to reach out. Balance CapEx and OpEx across different deployment models – owned vs leased, cloud-managed vs on-premises.
• Budgeting & Financial Modelling. Clearly define ROI and benefit realisation timelines to support internal approvals. Explore vendor financing or consumption-based models to enhance flexibility. These often align with sustainability goals, with many vendors offering equipment recycling and resale programs that reduce overall costs and support circular IT practices.

Vendor and Partner Selection

• Vendor Support & Regional Coverage. Select vendors with strong regional support across Asia Pacific to ensure consistent service delivery across diverse markets. Many organisations rely on distributors and resellers for their extended reach into remote geographies. Others prefer working directly with manufacturers. While this can reduce procurement costs, it may increase servicing complexity and response times. Assess vendors not just on cost, but on local presence, partner network strength, and critically, their supply chain resilience.
• Innovation & Ecosystem Alignment. Partner with vendors whose roadmaps align with future technology priorities – AI, IoT, edge computing – and who continue to invest in advancing EUC capabilities. Long-term innovation alignment is just as important as short-term performance.

Building a modern, future-ready EUC strategy isn’t just about devices – it’s about aligning people, technology, security, sustainability, and business outcomes in a way that’s cost-effective and forward-looking. But we know investment planning can be tricky. At Ecosystm, we’ve helped organisations build ROI models that make a strong case for EUC investments. If you’d like guidance, feel free to reach out – we’re here to help you get it right.

5/5 (5)

GenAI AI has truly transformed content creation by automating text, image, and video generation from simple prompts, slashing the time and skills once needed. Canva leads this shift, blending an intuitive interface with expansive templates and cutting-edge AI tools. This empowers anyone – individuals or businesses – to produce professional-quality visuals with ease, breaking down barriers and making design truly accessible. 

Canva’s “Create 2025” event in Los Angeles showcased its evolution from a simple design tool into a full enterprise platform for productivity, content creation, collaboration, and brand management – embedding visual communication across the modern workplace. For tech teams, marketers, and leaders, this shift brings opportunity but also demands careful strategy, integration, and governance to unlock Canva’s full potential in enterprise settings. 

Canva Create 2025: Key Announcements 

Visual Suite 2.0: A Unified Workspace & Single Design Canvas. Canva unveiled Visual Suite 2.0, a seamless platform combining presentations, documents, whiteboards, spreadsheets, and video editing into one design canvas. This unified workspace helps organisations streamline workflows, eliminate tool fragmentation, and ensure consistent visual communication across teams. 

Canva Sheets: Where Data Meets Design. Canva Sheets reimagines the spreadsheet by focusing on visualising data with rich charts, colour-coded cells, smart templates, automation, and AI-powered insights. Designed for teams that share data rather than just analyse it, Sheets empowers every user – including the “data shy” – to become a confident data analyst. 

Canva AI: GenAI for the Creative Enterprise. The enhanced Magic Studio integrates AI-driven writing, image editing, template creation, and video animation into one toolset. Features like Magic Write, Magic Design, and Magic Animate enable teams to create branded, engaging content at scale – quickly and cost-effectively – across the entire Canva platform. 

Canva Code: Low/No-Code Interactive Content. Canva Code enables users to build interactive content such as calculators, quizzes, websites, apps, and chatbots without complex coding. Combining this with Canva’s design and brand management tools lets teams create on-brand digital experiences and publish them to customers in minutes – transforming everyone into a coder and accelerating customer-facing innovation. 

Why Enterprises Should Adopt Canva 

Canva’s evolution into an enterprise platform offers several key advantages for larger organisations: 

• Streamlined Workflows. A unified workspace and single design canvas cuts the need to switch between tools, boosting efficiency and team collaboration. 

• Brand Consistency at Scale. Centralised brand controls and template governance ensure all content – from marketing to regional sales – stays on-brand. For example, eXp Realty’s central design team creates assets that agents nationwide confidently use, maintaining brand integrity. 

• Scalable Content Creation. GenAI accelerates content creation and localisation, while Canva Sheets lets designers update assets at scale, reducing days of work to a single click. 

• Cross-Functional Collaboration. By making design accessible, Canva empowers marketing, operations, sales, and finance teams to collaborate seamlessly on visuals, cutting bottlenecks. 

• Lower Barriers to Creativity. With an easy-to-learn platform, more employees can contribute to visual storytelling without needing design expertise. 

Beyond Licensing: Strategic Enterprise Adoption  

Successful enterprise adoption of tools such as Canva goes beyond licensing – it requires organisational change. Here’s how enterprises can prepare: 

1. Integration with the Digital Workplace Ecosystem 

Enterprises must integrate new platforms with the broader toolset employees use daily. Without this, they risk becoming just another siloed app, limiting adoption and ROI. 

• Enable SSO and identity management (e.g. via Azure AD or Okta). 

• Integrate with storage platforms like SharePoint, Google Drive, or Box. 

• Connect to collaboration and productivity tools such as Slack, Teams, Trello, and Salesforce. 

2. Structured Training and Enablement 

Though intuitive, enterprise features require tailored training to boost adoption and build a self-sustaining user community. Customers benefit from dedicated support – including brand kit setup, onboarding, billing, SSO configuration, and company-wide training with a dedicated Customer Success Manager. 

• Deliver role-based training for marketers, HR, sales, and support. 

• Establish champions in each business unit to drive adoption. 

• Provide regular updates and tips as new features launch. 

3. Design Governance and Brand Control 

Enterprises must address concerns around brand fragmentation. This ensures that the platform acts as brand enabler – not a brand risk. 

• Set up Brand Kits to enforce logos, fonts, and colours. 

• Use locked templates for consistency while enabling localisation. 

• Create layered permission structures to reflect organisational hierarchy. 

4. Data Security, Compliance and Governance 

As with any enterprise SaaS platform, security and compliance must be foundational and built into the rollout plan from day one. 

• Understand data residency and privacy policies. 

• Use admin controls, usage analytics, and audit logs to maintain oversight. 

• Define clear policies for external sharing and publishing. 

5. Defining Success Metrics 

Adoption should be measured by capturing metrics that enable IT and marketing leaders to demonstrate value to the C-suite. 

• Benchmark operations before and after rollout. 

• Track usage, asset creation, and publishing speed. 

• Monitor template use versus freeform content to gauge brand adherence. 

• Survey users on productivity improvements and satisfaction. 

Driving Adoption and Innovation: The Tech Team’s Mandate 

For the success of tools such as Canva in enterprise settings, technology teams must move beyond gatekeeping and become proactive enablers of adoption and innovation. This involves integrating them smoothly with identity management, storage, productivity, and collaboration tools to deliver a seamless user experience. At the same time, they must enforce strict security and access controls, manage user provisioning, and monitor usage to ensure compliance and safeguard sensitive data. 

But technology’s role doesn’t stop at governance. Teams need to set clear internal service standards, build strong vendor relationships, and drive consistent rollout across the organisation. Crucially, they should partner with business units to co-develop templates, embed these tools into daily workflows, and experiment with new features like AI-powered design, localisation, and self-service content creation.  

Ecosystm Opinion 

Canva is no longer just a tool for simple social posts or pitch decks; with its latest updates at Create 2025, it has evolved into a core platform for modern, visual-first enterprise communication. To fully realise this potential, organisations must approach Canva like any other critical enterprise platform – implementing the right structure, strategy, security, and support. For companies aiming to empower teams, speed up content creation, and maintain brand consistency at scale, Canva is now poised to take centre stage. 

5/5 (2)

Home to over 60% of the global population, the Asia Pacific region is at the forefront of digital transformation – and at a turning point. The Asian Development Bank forecasts a USD 1.7T GDP boost by 2030, but only if regulation keeps pace with innovation. In 2025, that alignment is taking shape: regulators across the region are actively crafting policies and platforms to scale innovation safely and steer it toward public good. Their focus spans global AI rules, oversight of critical tech in BFSI, sustainable finance, green fintech, and frameworks for digital assets.

Here’s a look at some of the regulatory influences on the region’s BFSI organisations.

Click here to download “Greener, Smarter, Safer: BFSI’s Regulatory Agenda” as a PDF.

The Ripple Effect of Global AI Regulation on APAC Finance

The EU’s AI Act – alongside efforts by other countries such as Brazil and the UK – signals a global shift toward responsible AI. With mandates for transparency, accountability, and human oversight, the Act sets a new bar that resonates across APAC, especially in high-stakes areas like credit scoring and fraud detection.

For financial institutions in the region, ensuring auditable AI systems and maintaining high data quality will be key to compliance. But the burden of strict rules, heavy fines, and complex risk assessments may slow innovation – particularly for smaller fintechs. Global firms with a footprint in the EU also face the challenge of navigating divergent regulatory regimes, adding complexity and cost.

APAC financial institutions must strike a careful balance: safeguarding consumers while keeping innovation alive within a tightening regulatory landscape.

Stepping Up Oversight: Regulating Tech’s Role

Effective January 1, 2025, the UK has granted the Financial Conduct Authority (FCA) and Bank of England oversight of critical tech firms serving the banking sector. This underscores growing global recognition of the systemic importance of these providers.

This regulatory expansion has likely implications for major players such as AWS, Google, and Microsoft. The goal: strengthen financial stability by mitigating cyber risks and service disruptions.

As APAC regulators watch closely, a key question emerges: will similar oversight frameworks be introduced to protect the region’s increasingly interconnected financial ecosystem?

With heavy reliance on a few core tech providers, APAC must carefully assess systemic risks and the need for regulatory safeguards in shaping its digital finance future.

Catalysing Sustainable Finance Through Regional Collaboration

APAC policymakers are translating climate ambitions into tangible action, exemplified by the collaborative FAST-P initiative between Australia and Singapore, spearheaded by the Monetary Authority of Singapore (MAS).

Australia’s USD 50 million commitment to fintech-enabled clean energy and infrastructure projects across Southeast Asia demonstrates a powerful public-private partnership driving decarbonisation through blended finance models.

This regional collaboration highlights a proactive approach to leveraging financial innovation for sustainability, setting a potential benchmark for other APAC nations.

Fostering Green Fintech Innovation Across APAC Markets

The proactive stance on sustainable finance extends to initiatives promoting green fintech startups.

Hong Kong’s upcoming Green Fintech Map and Thailand’s expanded ESG Product Platform are prime examples. By spotlighting sustainability-focused digital tools and enhancing data infrastructure and disclosure standards, these regulators aim to build investor confidence in ESG-driven fintech offerings.

This trend underscores a clear regional strategy: APAC regulators are not merely encouraging green innovation but actively cultivating ecosystems that facilitate its growth and scalability across diverse markets.

Charting the Regulatory Course for Digital Asset Growth in APAC

APAC regulators are gaining momentum in building forward-looking frameworks for the digital asset landscape. Japan’s proposal to classify crypto assets as financial products, Hong Kong’s expanded permissions for virtual asset activities, and South Korea’s gradual reintroduction of corporate crypto trading all point to a proactive regulatory shift.

Australia’s new crypto rules, including measures against debanking, and India’s clarified registration requirements for key players further reflect a region moving from cautious observation to decisive action.

Regulators are actively shaping a secure, scalable digital asset ecosystem – striking a balance between innovation, strong compliance, and consumer protection.

Ecosystm Opinion

APAC regulators are sending a clear message: innovation and oversight go hand in hand. As the region embraces a digital-first future, governments are moving beyond rule-setting to design frameworks that actively shape the balance between innovation, markets, institutions, and society.

This isn’t just about following global norms; it’s a bold step toward defining new standards that reflect APAC’s unique ambitions and the realities of digital finance.

5/5 (1)

Cybersecurity is essential to every organisation’s resilience, yet it often fails to resonate with business leaders focused on growth, innovation, and customer satisfaction. The challenge lies in connecting cybersecurity with these strategic goals. To bridge this gap, it is important to shift from a purely technical view of cybersecurity to one that aligns directly with business objectives.

Here are 5 impactful strategies to make cybersecurity relevant and valuable at the executive level.

1. Elevate Cybersecurity as a Pillar of Business Continuity

Cybersecurity is not just a defensive strategy; it is a proactive investment in business continuity and success. Leaders who see cybersecurity as foundational to business continuity protect more than just digital assets – they safeguard brand reputation, customer trust, and operational resilience. By framing cybersecurity as essential to keeping the business running smoothly, leaders can shift the focus from reactive problem-solving to proactive resilience planning.

For example, rather than viewing cybersecurity incidents as isolated IT issues, organisations should see them as risks that could disrupt critical business functions, halt operations, and destroy customer loyalty. By integrating cybersecurity into continuity planning, executives can ensure that security aligns with growth and operational stability, reinforcing the organisation’s ability to adapt and thrive in a constantly evolving threat landscape.

2. Translate Cyber Risks into Business-Relevant Insights

To make cybersecurity resonate with business leaders, technical risks need to be expressed in terms that directly impact the organisation’s strategic goals. Executives are more likely to respond to cybersecurity concerns when they understand the financial, reputational, or operational impacts of cyber threats. Reframing cybersecurity risks into clear, business-oriented language that highlights potential disruptions, regulatory implications, and costs helps leadership see cybersecurity as part of broader risk management.

For instance, rather than discussing a “data breach vulnerability”, frame it as a “threat to customer trust and a potential multi-million-dollar regulatory liability”. This approach contextualises cyber risks in terms of real-world consequences, helping leadership to recognise that cybersecurity investments are risk mitigations that protect revenue, brand equity, and shareholder value.

3. Build Cybersecurity into the DNA of Innovation and Product Development

Cybersecurity must be a foundational element in the innovation process, not an afterthought. When security is integrated from the early stages of product development – known as “shifting left” –  organisations can reduce vulnerabilities, build customer trust, and avoid costly fixes post-launch. This approach helps businesses to innovate with confidence, knowing that new products and services meet both customer expectations and regulatory requirements.

By embedding security in every phase of the development lifecycle, leaders demonstrate that cybersecurity is essential to sustainable innovation. This shift also empowers product teams to create solutions that are both user-friendly and secure, balancing customer experience with risk management. When security is seen as an enabler rather than an obstacle to innovation, it becomes a powerful differentiator that supports growth.

4. Foster a Culture of Shared Responsibility and Continuous Learning

The most robust cybersecurity strategies extend beyond the IT department, involving everyone in the organisation. Creating a culture where cybersecurity is everyone’s responsibility ensures that each employee – from the front lines to the boardroom – understands their role in protecting the organisation. This culture is built through continuous education, regular simulations, and immersive training that makes cybersecurity practical and engaging.

Awareness initiatives, such as cyber escape rooms and live demonstrations of common attacks, can be powerful tools to engage employees. Instead of passive training, these methods make cybersecurity tangible, showing employees how their actions impact the organisation’s security posture. By treating cybersecurity as an organisation-wide effort, leaders build a proactive culture that treats security not as an obligation but as an integral part of the business mission.

5. Leverage Industry Partnerships and Regulatory Compliance for a Competitive Edge

As regulations around cybersecurity tighten, especially for critical sectors like finance and infrastructure, compliance is becoming a competitive advantage. By proactively meeting and exceeding regulatory standards, organisations can position themselves as trusted, compliant partners for clients and customers. Additionally, building partnerships across the public and private sectors offers access to shared knowledge, best practices, and support systems that strengthen organisational security.

Leaders who engage with regulatory requirements and industry partnerships not only stay ahead of compliance but also benefit from a network of resources that can enhance their cybersecurity strategies. Proactive compliance, combined with strategic partnerships, strengthens organisational resilience and builds market trust. In doing so, cybersecurity becomes more than a safeguard; it’s an asset that supports brand credibility, customer loyalty, and competitive differentiation.

Conclusion

For cybersecurity to be truly effective, it must be woven into the fabric of an organisation’s mission and strategy. By reframing cybersecurity as a foundational aspect of business continuity, expressing cyber risks in business language, embedding security in innovation, building a culture of shared responsibility, and leveraging compliance as an advantage, leaders can transform cybersecurity from a technical concern to a strategic asset. In an age where digital threats are increasingly complex, aligning cybersecurity with business priorities is essential for sustainable growth, customer trust, and long-term resilience.