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Marcos economic team mounts catch-up plan to save growth targets
mb14d ago

Marcos economic team mounts catch-up plan to save growth targets

President Ferdinand Marcos Jr.’s economic team is adopting a sober yet aggressive posture on the Philippines' macroeconomic outlook, mobilizing a state-led fiscal catch-up program to counter stalling growth and stubborn inflation. Budget Secretary Kim Robert de Leon told reporters on the sidelines of the European Union (EU)-Philippines event that the strategy includes accelerated infrastructure outlays and the fast-tracking of private investments after the disappointing start to the year. De Leon indicated that the Cabinet-level Development Budget Coordination Committee (DBCC) faced a grim reality during its 193rd meeting. The downbeat assessment followed gross domestic product (GDP) and consumer price index data that fell short of the government’s full-year targets. “We really would like to catch up after the first-quarter growth and the inflation that we’ve had. So we’re trying to really be bullish about it and utilize whatever we can utilize to support the economy,” de Leon said. Domestic growth stood at 2.8 percent in the first quarter, its weakest performance in five years since the contraction seen during the height of the Covid-19 pandemic. The government is aiming to propel growth by a minimum five percent rate this year. Inflation has not yet returned to the two to four percent tolerance band since it first breached the ceiling in March. Inflation has so far peaked at a more-than-three-year high of 7.2 percent in April. Price growth moderated in May to 6.8 percent but is still outside the target range. To address these headwinds, the chair of the economic team noted that the DBCC is currently refining its macroeconomic assumptions, which led to a delay in the usual post-meeting announcement. “We didn’t make an announcement because we wanted to recalibrate the figures that we saw during the meeting. We’re having another round before we make a final announcement,” he explained. De Leon stressed that the committee remains sensitive to global developments spilling over into the domestic environment. While the adjustments made remain undisclosed, de Leon said the DBCC is looking at the numbers “very closely” to ensure they are “sound and realistic based on what we’re currently experiencing.” De Leon said the administration is banking on the implementation of the national budget to serve as an engine for recovery. “We have the budget passed as a tool to pursue growth. So if there is still room within the budget that we can take advantage of, then let’s use all of those,” he said. He also said the government will tap the available infrastructure budget under the 2026 national budget of ₱6.79 trillion to provide the necessary stimulus. Meanwhile, he noted that the success of the catch-up plan hinges on the ability of government agencies to accelerate their disbursements. “We saw an uptick in our available releases. So it’s now up to the agencies—they have until June—to actually implement their projects, and hopefully that will contribute to our second-quarter growth,” de Leon said. He said the government is eyeing an immediate recovery from the first-quarter growth slump. Besides public spending, the administration is also looking at the private sector to carry the load. “On the part of private sector investments, the government is also facilitating the implementation of the necessary investments, as these impact economic activity in general,” he added.

#ECONOMY
Before building oil stockpile, DOE must show who pays
mb14d ago

Before building oil stockpile, DOE must show who pays

As the proposed Philippine Strategic Petroleum Reserve (PSPR) takes shape, consumers must keep a close eye on the government and their hands firmly on their wallets. While the country may need an oil stockpile, taxpayers and motorists should not end up becoming the reserve’s permanent source of funding. To date, proposed legislation prescribes that the strategic petroleum reserve will be bankrolled through allocations from the General Appropriations Act (GAA), dividends from government energy firms, stock rotation revenues, and international cooperation programs. But while navigating the legislative maze, Congress and the Department of Energy (DOE) must make one thing unmistakably clear: the reserve is meant to store oil for emergencies and extreme supply disruptions, not to serve as a recurring excuse for new costs that eventually trickle down into consumers’ pockets. As stipulated, the “government reserve fund” for the SPR shall specifically finance the acquisition, storage, maintenance, and rotation of petroleum stocks. Now, this is the concerning part: the cost recovery and support provisions effectively hand the government a full toolbox of incentives—including tax breaks, financing support, subsidies, and other relief measures—meant to cushion the oil stockpile’s financial and operational load. That raises the question of how far "support" can stretch before it starts quietly shifting these financial burdens back onto the Filipino public, either at the gas pumps or via taxes. No ambiguity allowed: Clarify cost burden to consumers This is where consumers need to be most alert. The legislative proposals’ vague promise that the government may “provide other measures” to soften the impact of extended oil inventory requirements sounds harmless at first glance—until you realize that this kind of policy language has a dangerous habit of subtly mutating into "other charges" that find their way to consumers as added costs. Unless this language is tightly defined and firmly bounded, consumers have every reason to oppose any early attempt to stretch the measure’s scope. Once left unchecked, "flexible policies" have a well-known tendency to become a long-term financial strain on Filipinos. Again, the DOE, the Philippine National Oil Company (PNOC) as the operating entity, and the Maharlika Investment Corporation (MIC) as the initial funder must state in well-defined, conclusive terms who will ultimately shoulder the cost of building and sustaining the SPR. Energy security cannot rest on ambiguity when public money and consumer welfare are on the line. Based on the DOE’s announcement, the plan to build a 30-day government-controlled oil reserve (prospectively doubling the private sector’s 15-day inventory) comes with a hefty price tag of ₱30 billion. It is worth noting, however, that under the proposed bills in Congress, the SPR is intended to be eventually sustained at a 60-day supply level and gradually expanded based on DOE determination. Past that point, some recommendations even aim to increase the reserve by 5% annually until it reaches a massive 200-day stockpile. This aggressive escalation looks strong for energy security on paper, but in practice, it warrants closer examination before funding pressures creep in. In other countries, SPR funding is generally drawn from government allocations. In the United States, for example, the reserve is financed mainly through federal appropriations and oil sales—meaning consumers do not pay a separate surcharge at the gas pumps to maintain the strategic stockpile. For Japan, SPR funding comes from a mix of government budgets, petroleum taxes, and mandatory industry stockholding backed by private and commercial inventories. In the European Union (EU), reserves are typically managed through stockholding agencies financed by industry levies. While financing models differ by country, the common thread is transparency on who really pays. For countries considering a Japan-style SPR, studies consistently show that the real challenge is not storage or day-to-day operations, but the heavy upfront investment required to build infrastructure and purchase oil inventory. Once established, maintenance is calculated to amount to well under 1.0 percent to 3.0 percent of the retail fuel price. Nevertheless, it must be stressed that the Philippine petroleum industry is already weighed down by heavy taxation. Any additional cost passed on to consumers risks becoming not only economically hard to justify but also increasingly questionable in fairness, especially at a time when household budgets are stretched thin and purchasing power continues to erode. SPRs are a long game, no shortcuts Just recently, Energy Secretary Sharon Garin announced that Maharlika will initially allocate ₱5 billion for the SPR’s first component: an oil storage facility designed to hold 500,000 to one million barrels. Correspondingly, that marks an early financial commitment to building the country’s oil stockpile. The energy secretary likewise indicated that state appropriations would be bypassed, running counter to the direction of current legislative proposals for the SPR. This emerging policy contradiction prompts deeper scrutiny: if Maharlika fronts the capital, through what mechanism, timeline, or revenue stream will it recover its investment without eventually circling back to the consumers? That should be a red flag for Filipino consumers. When investments need to be recovered, the uncomfortable reality is that the cost almost always finds its way back to their pockets, either through higher pump prices or additional layers of taxation. We must remember that the VAT on energy was previously introduced as a “temporary fix” for a widening budget deficit, yet like many stopgaps, it eventually became permanent. Beyond cost burdens, the clearest lesson from countries with established strategic petroleum reserves is that these systems are never built overnight. Legislative groundwork alone often takes two to three years, while full infrastructure development can stretch to four or five years or more. Hence, energy security is a deliberate, long-term undertaking that requires intelligent policymaking, careful and efficient planning, and necessary safeguards against rushed implementation. In Japan’s case, following the 1973–1974 oil crisis, its first decisive step was not building massive storage tanks but passing legislation (around 1975) that required private oil companies to maintain emergency stocks, creating the first operational layer of its reserve system. Three years later, in 1978, the government established the predecessor entity for the Japan Organization for Metals and Energy Security, which now manages its national petroleum reserves. That was the same timeframe in which it began constructing dedicated national storage facilities. It was only in the latter part of 1979 and the early 1980s that Japan’s government-owned reserves began receiving crude oil and became operational. It took roughly five years of sustained policy work and calculated planning before the system was fully established and running commercially. In the case of the United States, Congress first passed the Energy Policy and Conservation Act, formally creating its SPR in 1975—two years after the 1973 oil crisis. The first oil was delivered to the SPR around 1977, meaning the timeframe from policymaking to the initial establishment of the SPR took at least four years, while additional purchases to build the stockpile happened mostly in the 1980s. This highlights that even for a major economy, building a strategic reserve is a phased process unfolding over years, not an instant infrastructure rollout. If we take lessons from other countries, the Philippines’ oil stockpile will not be finished within a single administration because this is a multi-year undertaking. Its success depends not on rushed or vague execution, but on transparent, well-structured planning designed to outlast political cycles. In terms of scale and maturity, Japan took about 10 to 15 years to build its SPR system to a major level, covering roughly 200 days of net imports through combined public and private stocks. Meanwhile, the United States needed roughly 30 years to reach its peak inventory of about 727 million barrels in 2009. A strong word of caution for countries building an SPR is to time oil purchases carefully—buy when markets are stable and favorable, not during geopolitical tension and price volatility. This avoids locking in high costs, reduces fiscal exposure, and keeps long-term reserve development financially sustainable. There are also recommendations for the government reserve to be periodically sold, swapped, or replenished to prevent fuel degradation over time. This ensures that the stockpile remains usable while minimizing the financial losses that come with long-term storage, avoiding a reserve that slowly loses value while sitting idle. On top of that, relevant government agencies must first conduct rigorous technical, financial, and operational studies to ensure the oil stockpile is properly implemented. The DOE could draw valuable policy guidance and lessons on best practices from its announced collaboration with Japan’s Ministry of Economy, Trade and Industry. Transparency on SPR releases Under draft legislation, the power to declare an "emergency condition" or "severe global supply disruption" rests solely with the President upon the recommendation of the DOE. This places a highly sensitive trigger for SPR releases at a tightly centralized decision point where, without clear safeguards and transparent standards, discretion could slip into uncertainty or misuse of authority. There is real concern here because when the national energy emergency was declared in March, there was no clear, transparent, and publicly explained assessment from the government. This raises serious questions about how such critical declarations are justified and whether stronger accountability guardrails are needed before emergency powers are invoked. Given the government’s tendency toward rushed and ambiguous decision-making, the industry’s appeal is for the DOE to establish clear, enforceable guidelines defining the criteria, process, and safeguards for releases from the strategic reserve. This will ensure that every drawdown is transparent, properly justified, and fully documented through regular reports submitted to Congress. Additionally, there is a firm call to clearly separate the SPR from any form of price control or suspension of the deregulated downstream oil policy under Republic Act 8479. The creation of a strategic reserve must not be mistaken as a backdoor return to regulation or unintended market interference. The DOE similarly laid down plans for an ambitious ASEAN-wide joint oil stockpiling framework, but it is hard to lead a regional strategic reserves system when you cannot fully sort out your own SPR. Truth be told, in a region where energy security credibility is the benchmark, it is difficult to rally partners when your own structure is still seen as among the weakest performers. For feedback and suggestions, please email at: myrnamvelasco@gmail.com

#ECONOMY#STOCKS
XRP To $30? Market Veteran Says The Best Entry May Be Here
newsbtc14d ago

XRP To $30? Market Veteran Says The Best Entry May Be Here

XRP could be on track for one of its biggest price moves ever — but investors may need to wait until late 2027 or even 2028 to see it play out. A Long Road Ahead That’s the view from market analyst Dr Cat, who recently flagged $1.034 as a compelling long-term buy zone for the token. According to the analyst, that price level lines up with a thick Ichimoku Cloud support zone on the charts, which he sees as offering a strong risk-to-reward setup for patient buyers. Related Reading: Bitcoin Price Plunges To $59K, Sparking Fears Of Deeper Decline The price he’s projecting – the $30 target – would represent a gain of roughly 2,600% from XRP’s recent low of $1.09. That kind of move would rank among the largest in the token’s history. The Numbers Behind The Call The forecast, however, comes with conditions attached. Dr Cat’s model assumes XRP would need to trade at around 12,000 satoshis against Bitcoin, while Bitcoin itself would have to climb to approximately $250,000. Both would need to happen for the $30 scenario to materialize. $XRP Ripple If you are looking for an entry for long term from $USDT perspective I think that 1.034$ where the kumo surface is thick is a good buy price. Targeting ~30$ (12K $XRPBTC with ~250K $BTCUSD) in late 2027/2028. If $BTC dumps to 3 or 4 handle it goes without saying... https://t.co/JjSaHChkQF pic.twitter.com/8yTtYiZ77t — Dr Cat (@DoctorCatX) June 5, 2026 The analyst also warned that the path there won’t be smooth. If Bitcoin falls into a deeper correction, XRP could drop another 50% from current levels — a risk he acknowledged even while holding his bullish long-term view. His higher-timeframe analysis suggests the next major expansion phase for XRP may not begin before September 2027, meaning anyone who buys in now could be sitting through a long consolidation window before any serious upside kicks in. XRP’s Recent Slide The backdrop for all this is a token that has taken a hard hit in recent months. Based on data from Coingecko, XRP is down 18% over the past week, 20% over the past month, and 38% year-to-date. From its all-time high of $3.65, the token has shed more than 60% of its value. The wider market hasn’t helped. XRP dropped to $1.09 during a sharp correction that also dragged Bitcoin down to around $59,000 after it had been trading above $70,000 just days earlier. A Pattern Some Analysts Recognize Some in the XRP community see the selloff differently. Analyst Digital Outlook has pointed to similarities between current market conditions and the period following the SEC’s lawsuit against Ripple in December 2020. Related Reading: XRP Monthly RSI Drops To All-Time Low As Market Watches For Confirmation Reports indicate XRP fell to around $0.17 in the aftermath of that filing, only to surge past $1.96 by April 2021 as sentiment shifted — a gain of more than 1,000%. Whether history repeats is far from guaranteed. But for Dr. Cat, the $1.034 zone remains his line in the sand — a level he believes offers long-term buyers a solid base, even if the wait turns out to be a long one. Featured image from Unsplash, chart from TradingView

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39k-Mile 2006 BMW M3 Coupe Competition Package 6-Speed
bringatrailer14d ago

39k-Mile 2006 BMW M3 Coupe Competition Package 6-Speed

This 2006 BMW M3 coupe is a slicktop example that was ordered with Interlagos Blue Metallic paint, a six-speed manual transmission, and the Competition Package. Power is provided by a 3.2-liter S54 inline-six, and equipment includes a limited-slip differential, a Supersprint exhaust system, a Brembo brake kit, and 19" M cross-spoke Style 163M wheels as well as heated manually adjustable front sport seats, an illuminated shift knob, a CD stereo, and a Harman Kardon sound system. The car was sold on BaT in November 2024 and was acquired by the current owner in 2026. This E46 M3 has 39k miles and is now offered on dealer consignment with an owner's manual, service records, a Carfax report, and a clean Georgia title.

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Agentic AI solved coding — and exposed every other problem in software engineering
venturebeat14d ago

Agentic AI solved coding — and exposed every other problem in software engineering

Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve increasingly heard from business leaders is: if we’re shipping code faster than ever, why aren’t our products improving at the same rate? The reason is that writing code was never the rate limiter. Defining the right requirements, integrating with complex systems, and maintaining software under real-world conditions has always been the hard part. And when agents flood an organization with lots of new code, the hard part only gets harder. Agents compress execution time. They do not compress ambiguity, accountability, or operational complexity. As AI-generated code scales, human review is becoming a massive new bottleneck, and engineers are losing the context needed to catch agent mistakes. The companies that understand this will move forward deliberately and even create new roles because of AI . The ones that don’t will default to a simpler, far more destructive conclusion: Reduce headcount and increase AI spend. The playbook Irreversible structural decisions demand caution, precisely because the technology is moving so fast. Enterprise engineering leaders need a deliberate playbook to navigate the chaos. Here's how to start: Phase 1: Financial and risk governance Protect the downside — secure the infrastructure and cap the financial bleeding. Treat governance as a tier-one risk: The pressure to integrate AI is real, but giving teams the freedom to experiment without a centralized structure creates fragmented processes, duplicated work, and runaway costs. Organizations will need to establish shared standards while still allowing teams to adapt and explore within defined boundaries. This means treating agent configuration like production infrastructure — versioning, reviewing, and testing prompts and skills before rolling them out gradually. Enforce least privilege for non-human actors: Never allow an agent to simply inherit the full permissions of its human operator. Human engineers are granted broad access because they possess contextual judgment and bear ultimate accountability. Deploying agents with human-level access without careful consideration introduces an accountability gap into your systems. Implement strict separation between read and write/execute access, and mandate human-in-the-loop approval gates for destructive or production-altering actions. As agents transition from suggesting code to autonomously executing tasks, they must be rigorously incorporated into your security model. Watch your wallet: Protect your overall AI budget by enforcing quotas and rate limits for both engineering and production. Cautionary tales are increasingly common: Uber capped its AI spend after burning its 2026 budget by April , and, according to Axios, an unnamed company incurred a staggering $500 million Anthropic bill in a single month due to runaway agentic loops. Phase 2: Technical strategy Build the engine: Choose the right models and measure their success. Go multi-model and multi-vendor: No single model excels at every task. It's important to precisely characterize the behavior and performance boundaries across models to understand where each excels, routing specific tasks to the systems best equipped to handle them. Standardizing on a single vendor or model sacrifices capabilities and introduces a critical single point of failure. No organization should absorb that level of concentration risk in its core engineering function. Pay for the frontier: Treat AI as engineering leverage, not just another SaaS expense. Pay for premium frontier models that deliver the highest quality output and reduce costly rework. Ultimately, the cheapest model isn't the one with the lowest token price — it’s the one that maximizes efficiency while minimizing your downstream risk. Measure what actually matters: Deployments, lines of code, and pull requests were never good metrics for productivity, and with AI, they are actively misleading. Instead, aim for metrics that are attached to business outcomes (feature adoption, retention) and engineering durability (change failure rate, escaped defects, code survival over time). For AI efficiency, measure task success per dollar and rework time. Token counts are convenient for leaderboards but they cannot tell you if the tokens were well spent. Phase 3: Talent and organization Realign your human capital to manage the new bottleneck. Shift engineers from syntax to systems: As agents handle the bulk of code generation, human review and architectural alignment are the new bottlenecks. Organizations must deliberately upskill their workforce to transition from syntax-writers to systems-thinkers and agent-managers. Engineers need the training and mandate to guide agentic processes, manage complex cross-system integrations, and hold the overarching architectural vision that agents can struggle to maintain. Redefine performance and incentives: When an individual engineer can generate the output of a former squad, traditional metrics like story points or sprint velocity can become ineffective overhead. Consider realigning your evaluation frameworks to better reward expanded business impact, cross-system reliability, and effective agent orchestration. If you want systems-thinkers who cover more strategic surface area, are willing to explore and take risks, and build products in a durable way, you must reward them for higher level impact, not sheer volume of output. Don’t cut headcount before your strategy adapts: If you haven't integrated agentic workflows, measured augmented output in production, and reworked your roadmap around faster execution, you do not actually know whether your needs and capabilities align. Cutting headcount before establishing that baseline isn't discipline — it’s blindness. The goal is not simply smaller teams, but teams capable of covering more strategic surface area. Enterprise AI adoption requires human elasticity AI is not a replacement for engineering judgment; it is a force multiplier for it. In well-structured systems, it safely accelerates delivery. In poorly understood systems, it accelerates failure. We are already seeing the fallout: Outages, rising technical debt, and unexpected cost spikes driven by poorly governed adoption. These are operational failures, not theoretical risks. The mistake organizations are now making isn’t adopting AI too slowly — it’s adopting it without understanding where it breaks. For the C-suite, understanding this dynamic is no longer optional — it is the determining factor in how a business navigates this era. The challenge is that execution velocity is outpacing the industry's ability to manage the consequences. We have handed engineering teams the ultimate power tool. The old adage demands that you measure twice and cut once. Instead, too many firms are opting to just cut. Joe Bertolami is CTO and co-founder of Clifton AI .

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Alphabet Raises $84.75 Billion To Feed Its AI Compute Hunger — And Warren Buffett's Berkshire Is Buying In
techtimes14d ago

Alphabet Raises $84.75 Billion To Feed Its AI Compute Hunger — And Warren Buffett's Berkshire Is Buying In

Alphabet is raising an extraordinary amount of money to keep up with AI, and it has pulled an unexpected backer into the deal. The company announced an equity capital raise to fund its AI infrastructure — initially $80 billion, upsized to about $84.75 billion — to expand what it calls its "world-class AI compute infrastructure" in response to unprecedented customer demand.

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