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Amazon Cuts 100 Jobs Amid Ongoing Cost-Cutting Efforts

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E-commerce giant Amazon has on Wednesday confirmed that it is laying off approximately 100 employees in its devices and services division, amidst ongoing cost-cutting efforts.

The devices and services unit comprise many businesses, including the Alexa Voice assistant, Echo Hardware, Ring Video doorbells, and Zoox robotaxis.

Speaking on the layoff, Amazon spokesperson Kristy Schmidt said,

“As part of our ongoing work to make our teams and programs operate more efficiently, and to better align with our product roadmap, we’ve made the difficult decision to eliminate a small number of roles. We don’t make these decisions lightly, and we’re committed to supporting affected employees through their transitions.”

The company did not specify which units within the division were impacted; however, it noted that it will continue to hire within the devices and services division.

Amazon’s workforce saw rapid expansion during the pandemic, growing from 798,000 employees in 2019 to over 1.6 million by the end of 2021. However, as consumer demand stabilized, the company began recalibrating its staffing levels. Over the past two years, Amazon has already laid off 27,000 employees, primarily in corporate roles, as part of a cost-cutting effort. By late 2024, its global workforce stood at approximately 1.5 million, including 350,000 corporate employees and over a million frontline workers in warehouse and delivery operations.

In recent months Amazon has faced significant scrutiny over its return-to-office policy, particularly as it unfolds in tandem with a series of large-scale layoffs. The mandate requires employees to work from the office five days a week, a directive that has been met with resistance from many within the workforce.

Jassy set a target to increase the ratio of individual contributors to managers by at least 15% by the end of Q1 2025. The rationale behind Amazon’s firm stance on returning to office likely intersects with its broader business strategy, particularly as it relates to layoffs and restructuring efforts. With a focus on “conscious unbossing,” Amazon aims to flatten its hierarchical structure, purportedly to increase speed and efficiency in decision-making.

The recent job cuts of 100 workers, is coming after the company in March this year, laid off 14,000 managerial employees, as part of a sweeping restructuring plan aimed at increasing efficiency and reducing costs. The move, which represented a 13% reduction in the company’s global management workforce, is expected to save Amazon between $2.1 billion and $3.6 billion annually. 

By the first quarter of 2025, Amazon plans to increase the ratio of individual contributors to managers by at least 15%, a strategy designed to accelerate decision-making and enhance operational efficiency. A Morgan Stanley report released in October 2024 also projected that Amazon’s restructuring might cut nearly 13,834 managerial roles by early this year.

The financial services company also estimated that the cost per manager at Amazon ranged between $200,000 and $350,000 a year. According to sources, Jassy has been vocal about reducing bureaucratic layers that slow down processes, reinforcing his vision of making Amazon function more like a nimble startup.

Jassy’s move to trim the organization comes at a time when Amazon, like many tech companies, is contending with economic challenges. Other tech giants are also downsizing. On Tuesday, Microsoft announced it would cut approximately 6,000 jobs to reduce management layers. These layoffs are part of a broader trend in the tech industry, where companies are grappling with slowing revenue growth and rising costs after years of rapid expansion.

Uniswap DAO Voting to Add Support and Integrate Unichain on Oku Platform

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The Uniswap DAO is currently voting on a proposal to fund the integration of Uniswap V4 on Ethereum and add Unichain support within the Oku platform. This initiative, proposed by GFX Labs, aims to enhance Uniswap’s reach and encourage liquidity migration to Uniswap V4, solidifying its position as a leading decentralized exchange.

The proposal includes funding for GFX Labs to integrate these features, develop analytics, and build liquidity tools on Oku. Voting is ongoing and set to conclude on May 18, 2025. The Uniswap DAO’s vote to fund the integration of Uniswap V4 on Ethereum and Unichain support on Oku, proposed by GFX Labs, carries significant implications for the Uniswap ecosystem, decentralized finance (DeFi), and the broader crypto landscape.

Integrating Uniswap V4 into Oku, a DeFi interface developed by GFX Labs, aims to expand Uniswap’s accessibility across Ethereum and Unichain, a layer-2 network. This could drive liquidity migration to V4, which introduces customizable liquidity pools via “hooks” for advanced trading strategies.

By supporting Unichain, Uniswap strengthens its presence on a high-throughput, low-cost network, potentially attracting users and developers seeking scalable DeFi solutions. This aligns with Uniswap’s goal to remain the leading decentralized exchange (DEX) amid competition from rivals like Sushiswap or Curve.

The proposal includes funding for analytics and liquidity tools on Oku, which could improve user experience and provide data-driven insights, further incentivizing adoption. Unichain, supported by over 80 apps including Circle and Coinbase, is positioned as a key layer-2 solution for DeFi. Funding its integration on Oku could accelerate its adoption, drawing more projects and liquidity to the network. Unichain is already capturing significant Uniswap V4 volume (75%, with Ethereum below 20%), indicating a potential shift in DEX activity from Ethereum’s mainnet to layer-2 solutions.

DAO’s Strategic Investment and Governance

The proposed $250,000 allocation to GFX Labs, alongside a blanket license exemption for future V4 integrations, reflects the DAO’s willingness to invest in third-party platforms to extend Uniswap’s reach. This move could set a precedent for similar partnerships, decentralizing Uniswap’s growth strategy. Previous DAO votes, such as the $165M funding plan for Unichain and V4 growth, indicate a broader commitment to scaling Uniswap’s infrastructure.

This proposal builds on that momentum, potentially increasing the DAO’s influence over DeFi innovation. Uniswap V4 and Unichain are seen as transformative for the DEX space, with V4’s hooks enabling tailored liquidity solutions and Unichain offering scalability. Successful integration on Oku could reinforce Uniswap’s market leadership, especially as competitors adopt similar layer-2 strategies.

However, the focus on Unichain raises questions about Ethereum’s long-term role in Uniswap’s ecosystem, potentially fragmenting liquidity across networks if not managed carefully. Integrating V4’s complex hooks into Oku requires robust development to avoid vulnerabilities. Inadequately designed hooks could harm users or the protocol, as noted in prior Uniswap Foundation grants studying hook-related risks.

The $250,000 allocation, while modest compared to the DAO’s $50M token incentives or $113M treasury delegation, must deliver measurable outcomes to justify the cost. Critics may question the ROI if liquidity migration underperforms. Granting GFX Labs a blanket license exemption could spark debate about favoritism or reduced oversight, potentially alienating other developers seeking similar exemptions.

The proposal has likely created a divide within the Uniswap DAO and its community, as governance decisions often balance innovation with risk and ideology. Below are the key points of contention, inferred from available sources and community dynamics. Advocates argue that Unichain’s scalability and low fees are critical for Uniswap’s growth, especially as layer-2 solutions gain traction.

The X post claiming 75% of V4 volume on Unichain suggests some community members see it as the future of DeFi, potentially at Ethereum’s expense. This group likely supports the proposal to capture layer-2 market share. Others may resist prioritizing Unichain, viewing Ethereum as the backbone of DeFi’s security and decentralization. The reported drop in Ethereum’s V4 volume (below 20%) could alarm this group, who may fear liquidity fragmentation or a loss of Ethereum’s dominance. They might argue for focusing resources on Ethereum-based V4 integrations.

Supporters, likely including GFX Labs and Oku-aligned stakeholders, see the $250,000 as a strategic investment to boost Uniswap’s ecosystem. They point to prior DAO successes, like the $165M funding plan, as evidence of effective capital deployment. Critics may question the allocation’s value, especially given the DAO’s history of large expenditures (e.g., $46.2M to the Uniswap Foundation). They might demand clearer metrics for success or worry about over-reliance on third-party platforms like Oku, which could divert focus from Uniswap Labs’ core offerings.

Some community members may support the blanket license exemption for GFX Labs, viewing it as a pragmatic way to accelerate V4 adoption across networks. This group likely values speed and flexibility in governance. Others may see the exemption as a governance red flag, arguing it risks centralizing control or undermining the DAO’s licensing framework. This divide reflects broader tensions about balancing openness with protocol integrity.

A vocal minority, as noted in prior governance discussions, may argue that Unichain’s benefits accrue more to Uniswap Labs or external stakeholders than the DAO itself. They might demand that funds be used for initiatives directly tied to UNI token holders, such as staking rewards or buybacks, rather than ecosystem expansion. In contrast, expansionists likely argue that growing Uniswap’s reach indirectly strengthens the DAO by increasing protocol usage and UNI’s long-term value.

The Uniswap DAO has a history of bold funding decisions, such as the $50M token incentives and $113M treasury delegation, suggesting a leaning toward growth-oriented proposals. However, governance reviews indicate ongoing debates about accountability and measurable outcomes. If the proposal passes, it could boost UNI’s price by signaling proactive governance and ecosystem growth.

However, failure to deliver on liquidity migration or technical integration could dampen sentiment, especially if competitors capitalize on Uniswap’s layer-2 pivot. The Uniswap DAO’s vote on funding Uniswap V4 and Unichain integration on Oku is a pivotal moment for the protocol’s evolution. It promises to enhance Uniswap’s reach, liquidity, and competitiveness but introduces risks around technical execution, financial ROI, and community alignment.

The divide centers on Unichain’s role versus Ethereum’s legacy, the value of funding Oku, and governance transparency. By May 18, 2025, the outcome will signal whether the DAO prioritizes bold expansion or cautious consolidation, shaping Uniswap’s trajectory in the DeFi landscape.

World Bank Criticizes ‘Ineffective’ CBN’s OMO Strategy, Urges Policy Reforms Ahead of MPC Meeting

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The World Bank has taken a rare swipe at the Central Bank of Nigeria’s (CBN) monetary tightening strategy, specifically questioning the effectiveness of its Open Market Operations (OMO) framework.

In its latest Nigeria Development Update released this week, titled “Building Momentum for Inclusive Growth,” the global lender flagged several flaws in Nigeria’s monetary transmission mechanisms, urging urgent reforms to support credit expansion and improve liquidity management.

While the World Bank commended the CBN’s overall commitment to stabilizing the economy through tight monetary policy, it warned that certain tools, particularly the deployment of OMO, are undermining the broader goals of macroeconomic stability and credit availability.

Misalignment in Interest Rates

The World Bank’s report highlighted that Nigeria’s short-term interbank rates are floating between the central bank’s Standard Deposit Facility (SDF) and Standard Lending Facility (SLF) rather than aligning with the Monetary Policy Rate (MPR).

Currently, the MPR stands at 27.5%, but banks are able to earn 26.5% on deposits placed with the CBN through the SDF and are charged 32.5% when they borrow from the SLF. This disparity, according to the World Bank, points to an inefficient transmission of monetary policy and an inability to effectively steer interest rates across the financial system.

It indicated that interbank rates should be broadly stable around the MPR, calling the current trend a sign of liquidity management constraints within the Nigerian financial system.

Is The OMO for Liquidity Control or FX Tool?

OMO bills are traditionally used to control money supply in the banking sector, helping to mop up excess liquidity that could fuel inflation. But the World Bank expressed concern that the CBN is using OMO instruments not just for domestic liquidity control but also to manage foreign exchange (FX) volatility.

In recent months, the CBN has been exchanging OMO bills for U.S. dollars in a bid to stabilize the naira—a move the World Bank believes is distorting the purpose of monetary policy instruments.

As part of its recommendations, the Bank suggested:

  • Shortening the maturities of OMO bills to make them more agile in mopping up short-term liquidity.
  • Limiting OMO participation to domestic investors could reduce speculative carry trades and avoid the distortions caused by foreign capital flows.

The bank warned that restricting access to domestic investors could increase the effectiveness of the instrument in mopping up excess naira liquidity, adding that it could also help eliminate the segmentation of Nigeria’s yield curve, where CBN and Federal Government of Nigeria (FGN) securities of the same maturity attract different rates.

“It could also help channel longer-term lending to the private and public sectors, and eliminate the current segmentation of the yield curve between CBN and FGN securities of the same tenors,” the report said.

Manufacturers and Credit Access

Nigeria’s private sector, especially manufacturers, has long struggled under the burden of high interest rates and limited access to credit. The World Bank echoed these concerns, warning that the current monetary policy mix is strangling productive sectors and discouraging lending to small and medium enterprises (SMEs).

While inflation control remains a priority, the report stresses the need to recalibrate certain tools, such as the Cash Reserve Ratio (CRR), to free up credit. The World Bank advised that over time, the CRR should be redefined as a prudential tool rather than a blunt monetary instrument.

Call for SLF Reforms

The World Bank also called attention to existing restrictions on the Standard Lending Facility (SLF), which prevent banks from accessing it when they are engaged in other CBN transactions. It recommended to lift such restrictions and narrow the gap between the SLF and the MPR to bring greater stability to short-term interest rates.

The critique lands ahead of a key Monetary Policy Committee (MPC) meeting scheduled for Monday, May 19, where the CBN will deliberate on the direction of monetary policy. Since November 2024, the apex bank has maintained the benchmark interest rate at 27.5%, citing inflationary pressure as justification for its hawkish stance.

Despite these elevated rates, Nigeria’s money supply continues to expand rapidly. As of March 2025, broad money supply (M3) stood at N114.2 trillion, a sharp increase from N92.3 trillion recorded a year earlier. The rise in liquidity suggests that the CBN’s policy tightening has not translated into effective control of monetary aggregates.

The World Bank’s unusually blunt remarks are expected to draw serious attention within Nigeria’s monetary policy circles. While the CBN under Governor Olayemi Cardoso has won praise for its bold stance on inflation control, the latest data, and now, external criticism, suggest that monetary policy transmission remains deeply flawed.

If adopted, the World Bank’s recommendations could signal a shift toward a more calibrated, less rigid monetary framework. However, it is not certain whether the CBN will respond with reforms at the upcoming MPC meeting or continue to double down on its current policy approach.

For manufacturers, SMEs, and retail borrowers, any shift that results in better credit conditions would be welcome. But for now, the broader Nigerian economy remains caught between a rising money supply and a high-interest-rate environment—conditions that even multilateral lenders now admit are working at cross-purposes.

Klarna’s 40% Workforce Cut Tied to AI Push and Natural Attrition Ahead of Delayed IPO

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Klarna, the Swedish fintech giant known for its buy-now-pay-later services, has drastically cut its workforce by nearly 40%—a move the company attributes to a combination of artificial intelligence integration and natural attrition.

Klarna CEO Sebastian Siemiatkowski, speaking on Wednesday on CNBC’s Power Lunch, revealed that the company’s headcount has dropped from about 5,000 to nearly 3,000 over the last couple of years. “The truth is, the company has shrunk from about 5,000 to now almost 3,000 employees,” he said. “If you go to LinkedIn and look at the jobs, you’ll see how we’re shrinking.”

The company had 5,527 full-time employees as of the end of 2022. By December 2023, that number had shrunk to 3,422, according to Klarna’s IPO prospectus filed in March this year. It’s now even lower, nearing 3,000. Klarna maintains that this downsizing was not driven by layoffs alone but a deliberate decision to stop hiring, allowing natural attrition—estimated at 15% to 20% annually—to thin the ranks.

AI Is Quietly Taking Over the Back Office

While Klarna continues to frame the cuts as part of a broader efficiency strategy, it has been candid about its embrace of artificial intelligence. The company’s partnership with OpenAI in 2023 culminated in the launch of an AI-powered customer service assistant capable of handling the workload of 700 agents. To demonstrate its confidence in automation, Klarna even used an AI-generated version of Siemiatkowski to present its third-quarter results in 2023.

These moves are not merely stunts. Klarna’s internal strategy leans heavily on AI for both customer interaction and internal operations, part of a trend sweeping across major tech firms seeking cost savings and productivity boosts by automating roles once filled by thousands of workers.

However, the CEO admitted this strategy is not without trade-offs. In a separate interview with Bloomberg last week, Siemiatkowski acknowledged that an over-reliance on AI had led to a drop in service quality. He hinted that Klarna would soon be rehiring human customer service agents under a new labor model—what he described as “an Uber-type setup,” suggesting part-time or gig-based employment rather than traditional full-time roles.

Despite announcing a hiring freeze in 2023, Klarna was still seen posting job listings, a contradiction reported by TechCrunch. As of this week, the company is actively hiring for 10 roles, primarily in Europe.

AI Layoffs Spreading Across Tech

What Klarna is doing is far from unique. Early this week, Microsoft reportedly laid off approximately 6,000 workers. While the company has not released an official breakdown, insiders say that a significant portion of those cut were software engineers—roles now increasingly being replaced by AI tools like GitHub Copilot and internal AI coding assistants.

According to multiple reports, the layoffs come amid Microsoft’s aggressive expansion of AI infrastructure, particularly following its multibillion-dollar investment in OpenAI. Analysts believe Microsoft’s push to embed AI throughout its Office suite, Azure cloud services, and software development platforms is already yielding significant efficiency gains, at the cost of human coders.

The move underscores a broader reordering of priorities within the tech sector. Companies are no longer just using AI to assist workers—they are deploying it to replace them. A 2024 report by McKinsey & Company projected that up to 30% of tasks in software development, customer service, and administrative support could be fully automated by 2030, and many firms appear to be acting on that forecast much earlier.

IPO Delays Amid Market Turmoil

Klarna’s shrinking workforce comes just as it prepares for a long-anticipated public offering. The company filed its IPO prospectus in March and was expected to list earlier this year. But the market took a hit in early April when President Donald Trump, seeking to reassert trade dominance in his current administration, announced sweeping new tariffs targeting key U.S. trading partners. The surprise announcement rattled global financial markets and prompted Klarna, along with other companies like ticket marketplace StubHub and trading platform eToro, to delay their IPOs.

Now, with some calm returning to equity markets, IPOs are starting to trickle back onto the calendar. EToro went public this week with its stock popping after pricing above its expected range. Fintech company Chime Financial filed its IPO papers on Tuesday, and digital health firm Hinge Health is expected to list next week.

Klarna, however, has remained silent on an updated timeline, leaving market watchers speculating on whether it will proceed before year-end or wait for stronger signals of investor confidence.

The Future With Fewer Humans, More Machines

Klarna’s transformation—marked by a shrinking workforce, increased reliance on AI, and experimental labor models—may well serve as a blueprint for what the future of work looks like in the tech industry. But it also raises tough questions about the pace of AI adoption and the fate of skilled jobs that once formed the backbone of modern tech firms.

Customer service agents, coders, and administrative workers appear to be the first wave of job roles most vulnerable to AI automation. Klarna’s acknowledgment that AI-only support has limitations suggests that the human touch is still valuable, but perhaps only when offered on-demand and without long-term costs like pensions, healthcare, or job security.

How Secure Are AI Trading Platforms? Understanding the Risks

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The advancing technology has brought about the development of AI-powered systems. They are now integrated with trading platforms, thus streamlining investors’ and traders’ activities. AI trading platforms ensure users invest faster and smarter, with minimal effort.

But how reliable are these platforms when it comes to securing users’ personal data? What data do they collect, how do they connect to the markets, and what algorithms do they use? Today, I will answer these questions and more. Ultimately, you will decide whether to utilise such platforms in your activities. 

Types of Risks Associated with AI Trading Platforms

The financial markets carry various risks, and so do AI trading platforms. While many traders rely on them to manage their positions, the tools are prone to errors. Some of the risks are structural, while others are psychological. Understanding them will help you develop the best trading strategy that will maximise your potential. 

1. Data breaches and cyberattacks

This is one of the common risks of using AI-powered trading platforms. Often, these platforms handle sensitive data, including users’ names, linked bank accounts, and even trading histories. Therefore, if you make a commitment to a platform that is poorly secured, and a breach occurs. In this case, your sensitive information will be exposed. You may also lose your funds. 

2. Algorithmic errors

While AI trading platforms have proven reliable in managing trades, they are mere software. They are trained on data and driven by patterns to analyse markets and automatically execute trades on users’ behalf. 

Note that sometimes these patterns break. A model that performed well for six months might suddenly misfire when market conditions shift.

3. Over-automation

Every trader and investor loves automation, and so do I. However, relying heavily on these systems can keep you disengaged. This is not good, as automated trading tools require human oversight to perform their best. Do not assume that AI trading platforms will identify potentially profitable opportunities for you. Sometimes they might not.

The good news is that some AI trading platforms like those referenced at InvestingGuide let users set stop-losses and other safety nets. Take advantage of them, but ensure you know how to configure those settings.

4. Regulatory grey areas

AI trading is evolving faster than the rules that govern it. Depending on where you live, the platform might be operating in a regulatory blind spot.

If a problem arises, such as a bug, a wrongful trade, or even a system failure. In this case, you might not have the legal protections you assume you do. 

How to Evaluate the Security of an AI Trading Platform

Most users aren’t cybersecurity experts. And frankly, they shouldn’t have to be. However, there are a few ways to get a sense of whether a platform takes security seriously.

1. Check the basics, but also dig deeper.

Start with the obvious: Is there two-factor authentication? Is your data encrypted in transit and at rest? But then go further. Does the platform mention how it stores algorithm data? Is there transparency about the AI models used? These are not always easy to find, but if the company talks openly about risk, it’s a sign they’ve considered it.

2. Look for regulation or at least accountability.

Is the platform registered with world-renowned authorities like the FCA in the UK, the SEC in the US, the ASIC in Australia, and so on? It’s not a guarantee of safety, but it helps. At the very least, you want to know there’s a framework they’re operating within.

If the platform is entirely unregulated, that doesn’t necessarily mean it’s dangerous. But I’d be cautious, especially if they’re vague about who runs it or how trades are executed.

3. Community feedback matters more than glossy marketing.

Marketing is easy to fake. Real user experiences are not. Browse forums like Reddit, Trustpilot, and even trading subcommunities. You don’t need a perfect five-star rating. Look for what most users say about it and how the company responds to complaints. Silence is a red flag.

Risk Management Tips for Users

As mentioned earlier, AI trading platforms come with their share of risks. You can manage them by incorporating the tips below. 

  • Start small.

Don’t throw your full portfolio into an AI platform on day one. Test it. Observe it. See how it behaves under stress, such as market dips, volatility, and unexpected news. Watch for patterns. If something seems off, trust your gut. Pull back.

  • Don’t delegate thinking.

I’ve seen people treat platforms like financial oracles. They stop analysing and questioning. That’s dangerous. Stay engaged. Use the platform to enhance your strategy, not replace it.

  • Protect your activities

Even with AI trading platforms, ensure you incorporate safety tools like stop-losses, withdrawal limits, and multi-step authentication. These might feel like overkill, especially when things are going well. But they’re crucial in a crisis. 

  • Stay informed.

Technology evolves, and so do threats. If your platform doesn’t update regularly or notify users about changes or vulnerabilities, that’s worrying. Security is not a one-time feature. It’s an ongoing practice.

Bottom Line

AI trading platforms can be powerful tools, but they’re not infallible. They’re built by humans, trained on imperfect data, and sometimes launched too soon. Security isn’t just about firewalls or passwords. It’s about design philosophy and whether a platform values caution over convenience.

Ultimately, the responsibility isn’t just with the platform. As users, we have to stay a little sceptical, alert, and perhaps even a bit uncomfortable with the idea that something so powerful could also be so fragile. Therefore, while AI trading platforms have become essential tools, proceed cautiously. Balance excitement with a dose of realism. While the future of trading might be automated, the responsibility remains ours.