A Belgian worker who clocks 40 years on the job retires, on average, with a supplementary pension worth less than a second-hand car. That’s not a metaphor — it’s the median outcome for employees aged 56 to 65 in Belgium’s second pillar, where reserves sit below €10,000. Warren, a Ghent-based fintech founded in 2024, wants to break that pattern, and it’s just raised €10 million in seed funding to do it.

The round, announced this week, was led by Motive Ventures, the venture arm of transatlantic investment firm Motive Partners, with F Capital joining as a new backer alongside returning investors Entourage, Syndicate One, and 100IN. It follows a €3 million pre-seed raise in March 2025 — putting Warren’s total funding north of €13 million in just over a year.

The Macro Picture: A Pension System Running on Borrowed Time

Belgium’s pension architecture rests on three pillars: a state pension, an employer-sponsored “second pillar” of occupational plans, and voluntary private savings. The first pillar is doing nearly all the work. According to the OECD, Belgians depend on the state pension for 85% of their monthly retirement income, compared with an average of 57% across other developed economies — and the replacement rate it delivers, around 45% of final salary, trails the OECD average of 54%.

That imbalance is becoming harder to sustain. Public pension expenditure is projected to climb from 13.1% of GDP to 15.1% over the next 30 years, a trajectory the OECD ranks as the second-steepest in the bloc after Spain. Belgium’s new “Arizona” coalition government has responded with a pledge to guarantee employer contributions of at least 3% to workplace pensions for all employees by 2035 — an acknowledgment that the second pillar can no longer be left to drift.

Warren isn’t a broker or an advisory layer bolted onto existing insurers. It operates its own licensed pension fund, investing employer and employee contributions directly into a diversified portfolio of low-cost ETFs — with no entry fees, no asset-based management fees, and no hidden commissions.

That structural choice is the company’s central pitch. Most workplace pension reserves in Belgium sit inside Branch 21 group insurance contracts — products that guarantee a nominal return but, after fees and inflation, frequently erode real purchasing power over a multi-decade horizon. Warren’s founders, led by CEO Cedric De Vleeschauwer, argue this is the quiet mechanism behind the country’s threadbare second-pillar outcomes.

• Flat subscription pricing: Employers pay a fixed fee rather than a percentage of assets under management, so returns compound without being skimmed year after year.
• Full fee transparency: No layered commissions embedded in the underlying insurance wrapper.
• Financial coaching built in: The platform pairs pension administration with employee-facing financial education, addressing what the company calls a literacy gap as much as a savings gap.

In its first year of commercial operation, Warren says it has signed roughly 100 Belgian companies, building toward a stated target of 100,000 employees on the platform by 2028. The new capital will fund close to thirty additional hires on top of the 25-person team already in place — and lay groundwork for expansion into one or two further European markets once Belgium is consolidated.

Is the Second Pillar Pension Adequate in Belgium?

Belgium’s second-pillar pension is not adequate by international standards: the median reserve for workers aged 56–65 sits under €10,000, the state pension covers 85% of retirement income versus a 57% OECD average, and statutory replacement rates lag the OECD norm of 54%.

A €10 million seed round is modest by fintech standards. What makes it notable is the regulatory vacuum Warren is stepping into. In the UK, where comparable players like Penfold and Smart Pension operate, workplace pension participation is mandatory under auto-enrolment law — Penfold raised €4.6 million in May 2025 and grew its employer base from 1,200 to over 4,000 companies inside roughly eighteen months, while Smart Pension secured a €69.4 million credit facility to scale within that same compulsory framework.

Belgium has no equivalent mandate yet. The Arizona coalition’s 3% employer-contribution pledge is a policy direction, not enacted law, and its 2035 horizon leaves nearly a decade of voluntary adoption ahead. Warren is effectively betting that it can build category leadership before the rules force employers to act — a higher-risk, higher-reward sequencing than its UK peers ever had to attempt. If the mandate eventually arrives, first-mover platforms stand to inherit the compliance wave; if it stalls, growth depends entirely on employers choosing better pensions voluntarily, which is a slower and less certain path.

The downstream effects of this round extend beyond one company’s balance sheet. Three groups have a direct stake in what Warren does with its new capital.

For employers, particularly SMEs that have historically defaulted to whichever insurer their broker recommended, Warren’s flat-fee model creates a price comparison point that didn’t really exist before. Belgium’s tax treatment of second-pillar contributions — contributions taxed at 4.4%, with employer contributions subject to 8.86% social security and an extra 3% levy above roughly €37,872 a year — already shapes how generous employers can afford to be. A platform that strips out asset-based fees changes the net return calculation without touching that tax framework at all.

For employees, the gender dimension is hard to ignore. Belgium’s gender pension gap stood at 31% in 2024, well above the OECD average of 23%, driven partly by lower participation in occupational schemes among women in part-time or interrupted careers. Whether Warren’s coaching layer meaningfully narrows that gap, or simply digitizes the existing disparity, is a question the company hasn’t yet had to answer at scale.

For the broader fintech market, Warren’s raise lands alongside a wave of pension-adjacent funding across Europe — evidence that investors increasingly see retirement infrastructure, not just retirement advice, as the more durable wedge. Expect more entrants to test Belgium’s pre-mandate window over the next 18 months.

Not everyone is convinced that a fintech wrapper solves a structural problem. Critics of the “fee disruption” narrative point out that Branch 21 products exist precisely because they guarantee capital — a feature some risk-averse savers, particularly those nearing retirement, value more than upside potential. Stripping out guarantees in favor of ETF exposure shifts market risk onto the employee, and a downturn in the years immediately before retirement could leave a worker worse off than under a low-yield but capital-protected scheme.

There’s also the adoption question. Belgium’s pension brokers and incumbent insurers have decades of employer relationships, and switching providers involves real administrative friction — works council consultations, collective labor agreements, and union sign-off in many sectors. A flat-fee pitch is compelling on a spreadsheet; it still has to survive a slower, more political procurement process than consumer fintech is used to.

That tension — between the speed startups want and the consensus-building Belgian labor relations require — may end up shaping Warren’s growth curve more than its product does.

Warren’s €10 million says less about the appetite for pension fintech than it does about how exposed Belgium’s second pillar has become. The numbers — a median reserve under €10,000, an 85% reliance on a state system already absorbing a growing share of GDP — aren’t new, and they haven’t moved much despite years of warnings from pension bodies like PensioPlus. What’s changed is that a venture-backed company is now betting real capital on the idea that fixing the product, not just waiting for the mandate, is where the leverage actually sits.

Whether that bet pays off will be decided less in a pitch deck than in thousands of quiet HR meetings across Belgium over the next few years.

Islamabad’s revenue machine is grinding, and the gears are stripping. The Finance Bill 2026 arrived with a headline FBR target near Rs15.3 trillion for the new fiscal year — an extraction-first model layered atop one that has already missed its FY26 goal by roughly Rs868 billion. Politicians call it reform. The arithmetic says something blunter: Pakistan is squeezing the same documented taxpayers harder, year after year, while the tax-to-GDP ratio barely moves. That gap between rhetoric and result is the story.

Pakistan’s tax-to-GDP ratio has hovered between 9 and 11 percent for years — among the lowest in South Asia. The IMF’s $7 billion programme made fiscal consolidation non-negotiable, and the FBR’s own mid-year numbers tell the compliance story bluntly: during July–April of FY26, the agency collected around Rs10.25 trillion against a target of Rs10.90 trillion, a shortfall of nearly Rs683 billion, with income tax missing by roughly Rs210 billion and sales tax by Rs382 billion. By the eleven-month mark, that gap had widened further — Rs868 billion behind target, with Rs11.23 trillion collected against a revised Rs12.10 trillion goal. The Bill doesn’t fix the structure that produced this. It raises the ask.

The numbers behind Budget 2026-27 are, in a word, aggressive. The IMF-supported framework envisages an FBR target of nearly Rs15.3 trillion, alongside a petroleum levy target of Rs1.73 trillion — even as the outgoing year limped to a close roughly Rs868 billion short. Provincial governments are following the same playbook. Punjab’s finance minister told reporters his province had achieved 99 percent of its tax collection target in the outgoing fiscal year, while raising the FY27 target by 46 percent, with own-source revenue expected to climb 30 to 40 percent.

The Finance Bill’s enforcement architecture has hardened to match those ambitions. The bill expands FBR’s enforcement powers, raises the cost of ATL restoration fivefold, and puts businesses at risk of having their premises sealed for non-compliance. A new digital layer compounds it: the FBR is proposed to be empowered to operate an algorithmic settlement mechanism, with a National Faceless Centre conducting income tax, sales tax, and federal excise proceedings without direct officer contact.

The justification, officially, is efficiency. The effect, structurally, is more pressure on the same compliant base:

• Withholding-heavy collection remains the default tool, not a stopgap.
• Faceless audits centralise discretion rather than removing it.
• Provincial mimicry of the FBR model multiplies the points of contact, not the tax base.

This is extraction dressed as modernisation — and the FBR’s own mid-year shortfall numbers suggest the dressing isn’t fooling markets.

Why Pakistan’s tax-to-GDP problem resists Finance Bill fixes

Move past the headline target and the deeper issue is structural, not seasonal. Pakistan’s formal sector — salaried employees and registered corporations — is taxed at source, with zero room for deferral. The informal economy, by contrast, operates largely outside the net.

What is Pakistan’s current tax-to-GDP ratio in 2026?

Pakistan’s tax-to-GDP ratio sits near 10.3–10.6%, among the lowest in South Asia and well below the IMF’s original 11% target for FY26. The shortfall stems from narrow documentation, not insufficient rates — informal retail, real estate, and agriculture remain largely outside the formal tax net.

The Pakistan Business Council has made the structural critique explicit, warning that the current system taxes turnover as a proxy for profit, burdening even loss-making businesses, while the formal sector is treated as unpaid tax collectors through withholding obligations. The Council goes further, noting salaried employees pay significantly higher taxes than their Indian counterparts, a factor in brain drain, while Capital Value Tax on overseas assets is pushing wealthy Pakistanis to surrender nationality — undermining the very FDI inflows the budget needs.

A World Bank policy note cited in recent coverage put the inequity plainly: a narrow, compliant segment — primarily salaried workers and large corporations — carries a disproportionate share of the tax burden while large portions of the economy remain outside the net. Yet the Finance Bill’s enforcement upgrades target documentation that already exists, rather than the 40% of GDP the Business Council estimates operates undocumented. That’s the information gap competing coverage keeps missing: more enforcement technology aimed at the same compliant 60% doesn’t change the denominator.

The salaried class did receive something this cycle — a partial olive branch buried inside an otherwise extractive bill. Salaried individuals get lower rates across four brackets and lose an unpopular surcharge, with the GDP growth target set at 4% and inflation projected at 8.2%, a number attributed largely to ongoing Middle East tensions affecting energy markets. The fiscal logic behind the relief is unusually candid: a recent analysis noted the IMF itself concluded that overtaxing the most compliant sector while the informal economy remains undertaxed is counterproductive — a salaried class under unsustainable burden sees purchasing power erode, consumption contract, and revenues ultimately decline.

But that relief was financed, not gifted. The compensating measures required by the Fund include Rs430 billion expected from provincial agricultural income tax mechanisms and an expanded fixed tax scheme for the retail sector — precisely the informal-sector reforms that have proven politically hardest to enforce in past budget cycles. If they underperform, as agricultural and retail levies typically have, the FBR has only one lever left: withholding agents, who are already absorbing the bulk of FY26’s shortfall.

For SMEs and documented businesses, the second-order effect is a tightening compliance cost spiral — fivefold ATL restoration penalties, faceless algorithmic audits, and sealed-premises risk arrive at the same moment the government is asking for 46% more revenue at the provincial level. Markets reading this Bill should expect compliance costs to rise faster than actual base-broadening, at least through FY27.

Government officials frame the target as achievable discipline. The Punjab finance minister expressed confidence that the 46% increase would be met, citing the province’s near-perfect FY26 collection rate and a projected 30 to 40 percent rise in own-source revenue. Officials defending the federal numbers point to the FBR’s recent history of double-digit growth in some collection heads as proof the system can scale.

That confidence runs against the IMF’s own posture. Mid-year negotiations reportedly moved toward cutting, not raising, the FY26 target — from an original Rs14.13 trillion down toward Rs13.45 trillion, with the tax-to-GDP ratio projected at just 10.6% rather than the originally agreed 11%. The Fund’s own caution about over-relying on withholding-driven collection — the rationale behind the salaried-class relief — sits awkwardly beside provincial governments doubling down on identical withholding-heavy models. Two arms of the same fiscal programme are, in effect, pulling in opposite directions: one easing pressure on the documented base, the other expanding the apparatus that squeezes it.

The tension at the centre of Finance Bill 2026 isn’t really about rates or targets. It’s about whether Pakistan can broaden a tax base that has resisted broadening through three IMF programmes running. Faceless centres, algorithmic settlement, and fivefold penalty increases are administrative upgrades to an extraction model — not a redesign of it. The agricultural and retail levies the IMF is counting on to offset salaried relief have a thin track record. Extraction has carried Pakistan’s fiscal arithmetic this far. It’s running out of room to carry it further.

When riot police lined up outside a Southport mosque in August 2024, the violence on the street had already been rehearsed online for hours. Britain’s Big Tech and UK unrest problem isn’t a boardroom plot — it’s a business model. Recommendation engines built to maximise watch-time found that outrage travels fastest, and a country already on edge paid the price.

Britain had just finished legislating against this exact scenario. The Online Safety Act 2023 imposed duties on platforms to curb illegal content, with fines reaching 10% of global turnover for failures — yet enforcement wasn’t due to bite until 2025, leaving Ofcom watching from the sidelines as violent civil unrest spread across UK towns and cities following the Southport killings. The regulator’s own post-mortem was blunt: illegal content and disinformation spread “widely and quickly” online, and algorithmic recommendations played a real role in driving divisive narratives during the crisis.

The trigger was a knife attack that killed three children in Southport. What followed wasn’t organic grief — it was an information cascade. Academic analysis published in the British Journal of Politics and International Relations traced how two accounts on X used the platform’s recommendation systems to amplify fake news, AI-generated images and racist conspiracy theories, turning a local tragedy into a national flashpoint within days.

The UK’s Science, Innovation and Technology Committee opened a formal inquiry into the episode, examining the links between the algorithms social platforms and search engines use to rank content and the disorder that followed. Its eventual report didn’t mince words: even full implementation of the Online Safety Act would have made little difference to the spread of the misleading content that drove violence and hate that summer, because the Act simply wasn’t designed to tackle misinformation.

Key findings that shaped the political response:

• Platforms’ handling of the crisis was inconsistent — Ofcom described it as “uneven.”
• The Committee’s own MPs accused tech firms of profiting while the country burned, with one Labour MP pointing the finger squarely at algorithmic design, not just individual bad actors.
• A man in Leeds, Jordan Parlour, became the first person to plead guilty to inciting racial hatred online for urging followers to attack a hotel housing asylum seekers — a reminder that platform dynamics and individual culpability aren’t mutually exclusive.

Does Big Tech deliberately stoke unrest in the UK?

No credible regulatory or academic evidence shows platforms intentionally engineer civil disorder. The pattern instead is structural: engagement-optimised algorithms reward emotionally charged, fast-spreading content. During crises, that mechanical bias toward outrage functions as accidental amplification of unrest — not a coordinated campaign.

This is the distinction British policymakers have struggled to communicate. It’s tempting to cast a tech executive as a villain pulling levers. The more uncomfortable truth, the one Frances Haugen tried to put in front of Parliament years earlier, is structural. Haugen warned a British parliamentary committee that Facebook would fuel more violent unrest worldwide unless it stopped its algorithms from pushing extreme and divisive content — a warning made in 2021, three years before Southport proved her right.

That said, individual leadership choices compound the structural problem. Ministers publicly disputed how disorder on the streets was being framed online during the riots, rejecting characterisations of rioters as legitimate protesters and instead describing them as “thugs.” The clash between platform framing and government messaging became its own front in the crisis.

What Comes Next for Markets, Regulators and SMEs

The fallout is reshaping UK tech policy. Within days of the disorder, Prime Minister Keir Starmer confirmed a formal review of the Online Safety Act, signalling Westminster’s appetite for tougher platform rules even before the original law had finished bedding in.

For businesses, the second-order effects are concrete:

1. Compliance costs are rising. Platforms operating in the UK face pressure to build “crisis response protocols” — Ofcom announced consultation on emergency-event protocols within months of the riots, a mechanism that could require real-time content controls during future disorder.
2. Reputational risk has widened. Advertisers and SMEs using social platforms for marketing now operate against a backdrop where platform behaviour during a crisis can become front-page news overnight.
3. Demotion, not deletion, is the likely regulatory direction. Witnesses to the parliamentary inquiry pushed for platforms to be compelled toward “demotion” and “de-amplification” of verified misinformation, rather than blanket takedowns — a lighter-touch model borrowed in part from the EU’s Digital Services Act, which compels platforms to adapt algorithmic and advertising systems during extraordinary circumstances.

For Pakistani and other emerging-market publishers and advertisers watching UK regulation, the signal is clear: platform-level crisis protocols developed in London are increasingly treated as a template other jurisdictions reference when drafting their own rules.

Not everyone accepts that algorithms deserve top billing. Some commentators and platform representatives argue that blaming code lets human actors off the hook too easily — the Leeds case, after all, involved a person typing an explicit call to violence, not a passive recommendation feed. Free-speech advocates have also warned that “de-amplification” powers, however well-intentioned, hand regulators discretionary control over what counts as legitimate political content, a power that could chill ordinary protest organising as easily as it curbs disinformation.

There’s a structural counterpoint too: critics of the parliamentary inquiry note that messaging apps and closed groups — not algorithmically ranked public feeds — have historically been the primary organising tool for actual physical disorder in Britain, going back to the BlackBerry Messenger-coordinated riots of 2011. If coordination happens off-algorithm, the argument goes, focusing regulatory firepower on public recommendation systems may treat a symptom rather than the disease.

Britain’s reckoning with Big Tech isn’t really about malice — it’s about a mismatch between business incentives built for attention and a society that, in moments of crisis, needs the opposite. The Online Safety Act was meant to close that gap and, by Parliament’s own admission, didn’t. Until algorithms are redesigned — or regulated — to slow down rather than spread division during a crisis, the next Southport is a matter of when, not if.