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When AI Marketing Fails to Deliver

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Artificial intelligence has become one of the biggest promises in modern marketing. From automated content creation and personalized advertising to predictive analytics and AI-powered customer service.

Companies have invested heavily in tools designed to make marketing faster, cheaper and more effective. Yet a strikingly small share of marketers appear convinced that those investments are producing transformative results.

Only 6% say AI is paying off in a big way, highlighting a growing gap between the excitement surrounding the technology and the value businesses are actually capturing. The problem may not be AI itself, but how organizations are deploying it.

Many companies have rushed to introduce generative AI without first defining the business problem they want the technology to solve. Marketers can now generate thousands of headlines, social-media posts, product descriptions and advertising variations in minutes.

But producing more content does not automatically mean producing more revenue. Marketing has always faced a difficult measurement problem. Awareness, brand trust and customer relationships can take months or years to translate into financial results.

AI can accelerate individual tasks, but it does not necessarily resolve the deeper challenge of connecting marketing activity to business outcomes. There is also a quality problem. AI-generated content can be fast and inexpensive.

But audiences are becoming increasingly sensitive to material that feels generic, repetitive or machine-produced. If every company uses similar models to create similar campaigns, the competitive advantage of AI may disappear.

Automation can increase output while simultaneously reducing differentiation. The most valuable applications may therefore be less visible. AI can analyze customer behavior, identify patterns across large datasets.

Improve segmentation and help marketers determine which customers are most likely to respond to particular offers. These applications can influence decisions rather than simply replace human labor. When AI becomes part of the decision-making infrastructure, its economic value can become easier to measure.

Human judgment remains critical. Marketing involves understanding culture, emotion, timing and changing consumer expectations. An AI system can identify patterns in historical data, but marketers still need to decide whether a campaign is appropriate.

Whether a message strengthens a brand and whether a strategy makes sense in a rapidly changing environment. The 6% figure is therefore less a rejection of AI than a warning about unrealistic expectations.

Companies may have underestimated the organizational changes required to turn AI experimentation into durable productivity. Data must be accessible and reliable. Employees need training. Workflows must be redesigned. Management needs clear performance indicators.

Most importantly, AI initiatives need to be connected to measurable commercial objectives. For marketers, the next phase of the AI revolution may be less about generating more and more about generating better results.

Instead of asking how many pieces of content an AI system can produce, companies will increasingly need to ask whether it increases conversion, improves customer retention, reduces acquisition costs or strengthens lifetime customer value.

AI is already changing the mechanics of marketing. The unresolved question is whether companies can transform that technological capability into economic value. The small group reporting major gains suggests that the winners may not simply be those using the most advanced models.

They may be the organizations that understand where human creativity ends, where automation begins and how both can work together to produce measurable results.

AI Is Taking Over Spreadsheet Jobs, but Humans Still Keep Robots Running

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The artificial intelligence revolution is increasingly moving beyond the familiar territory of chatbots and creative tools and into the ordinary machinery of business. From spreadsheets and administrative work to industrial robots and advanced manufacturing, AI is beginning to reshape how companies allocate human labour.

Technology executives are pushing policymakers to create frameworks that could accelerate the development and deployment of AI across the US economy. Ford CEO Jim Farley has highlighted one side of this transformation.

AI is increasingly capable of taking over spreadsheet-based jobs and other forms of repetitive knowledge work. For decades, spreadsheets have represented a core instrument of modern business, allowing employees to analyse data, prepare budgets, reconcile accounts and produce forecasts.

Much of that work depends on structured information and repeatable processes, making it particularly suitable for automation. Yet the same technological revolution that threatens some office tasks is creating a different demand inside factories.

Robots may be increasingly capable of performing physical tasks, but they still require humans to install, maintain, troubleshoot and improve them. A production line can contain sophisticated machines, sensors and AI systems.

But when a robot malfunctions or an automated process encounters an unexpected physical problem, human intervention remains critical. This creates a more complicated picture of AI’s impact on employment.

Rather than simply eliminating human work, automation can shift where human expertise is required. An employee who once spent hours updating spreadsheets could increasingly supervise AI systems, interpret their outputs or focus on decisions that require judgment.

Meanwhile, manufacturing could require more technicians, engineers and specialists capable of maintaining increasingly sophisticated automated infrastructure. The transition is therefore not simply about humans versus machines.

It is about which skills become valuable as machines become more capable. That question is shaping the relationship between Silicon Valley and Washington. Meta CEO Mark Zuckerberg and Nvidia CEO Jensen Huang have been involved in discussions around a proposed White House AI framework.

Reflecting the technology industry’s growing interest in government policy. The push illustrates how AI has moved from being primarily a technology-sector issue into a matter of industrial policy, national competitiveness, infrastructure and economic strategy.

For companies building enormous AI systems, government decisions can influence access to energy, semiconductor supply chains, data infrastructure, research funding, regulation and international competitiveness. A coordinated framework could potentially reduce uncertainty for businesses.

While policymakers face the challenge of balancing technological expansion with concerns about employment, safety, privacy and market concentration. The intersection of Zuckerberg, Huang and the White House therefore represents a broader contest over how the AI economy will be constructed.

The technology industry’s leaders want conditions that allow rapid development, while governments must determine how those developments fit within existing economic and social institutions.

The spreadsheet and the factory floor may appear worlds apart, but they reveal the same underlying transformation. AI is becoming capable of performing increasingly sophisticated cognitive and physical tasks. Humans are being pushed toward supervision, maintenance, creativity, judgment and system design.

The central question is no longer whether AI will change work. That process is already underway. The larger question is whether workers, companies and governments can adapt quickly enough to ensure that the productivity gains from intelligent machines translate into broader economic opportunity rather than simply a narrower distribution of technological power.

Eurozone Inflation Surges to 3.8%, Putting ECB Rate Path Back Under Pressure

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Eurozone inflation accelerated sharply in September, rising to 3.8% and reaching its highest level since September 2023, as a renewed energy shock pushed headline price growth well above market expectations and complicated the European Central Bank’s interest-rate outlook.

Annual inflation increased from 3.2% in August, exceeding the 3.6% consensus forecast and moving further away from the ECB’s 2% target. Core inflation, which excludes volatile energy and food components, was 2.5%, matching expectations.

The size of the headline increase is significant because it comes at a time when financial markets had begun to assume that the ECB could remain on hold as higher bond yields and tighter financial conditions did some of the central bank’s work.

September’s data challenges that assumption.

Energy prices were the dominant source of the acceleration, with energy inflation reaching 18.8%, its highest level since January 2023. The increase reflects the continuing impact of the Middle East conflict on oil and other energy costs, which are feeding through into household and business expenses across the region.

But the composition of the inflation increase is becoming more important for the ECB than the headline number alone. Core inflation remained elevated at 2.5%, suggesting that price pressures outside energy have not fully returned to levels consistent with the central bank’s target.

Harry Woolman, global capital markets analyst at Validus Risk Management, said the latest figures indicate that inflation may be broadening beyond the initial energy shock.

“While energy remains the main driver, September’s jump suggests it is now ‘more than an energy story’,” Woolman said, adding that the ECB’s October 29 meeting had become particularly important.

That has created a difficult policy environment for the ECB. Energy-driven inflation presents a familiar problem because monetary policy cannot directly increase oil supply or resolve geopolitical disruptions. Raising interest rates can, however, restrain demand and reduce the risk that a temporary energy shock becomes embedded in wages, services and broader price-setting behavior.

The danger for policymakers is the so-called second-round effect. If businesses pass higher energy and transportation costs to consumers, workers seek compensation for the resulting loss in purchasing power and companies then raise prices again to protect margins, an initial supply shock can become a more persistent inflation problem.

That is the experience policymakers remain particularly sensitive to after the inflation surge that followed the pandemic and Russia’s invasion of Ukraine.

Markets Reassess The ECB

The September inflation report arrives after investors had scaled back expectations for a sequence of ECB rate increases. ECB President Christine Lagarde had argued that higher bond yields were already tightening financial conditions, potentially reducing the need for the central bank to respond through additional policy-rate increases.

The latest inflation data makes that argument more difficult to sustain, according to Woolman.

“Markets had pared back expectations of consecutive rate rises in recent days, after President Lagarde suggested that higher bond yields were doing some of the tightening for the ECB. Today’s inflation reading makes that argument harder to sustain,” he said.

The contrast between market-driven tightening and central-bank action will now become more important. Higher government bond yields increase borrowing costs for households, companies and governments even when the ECB leaves its policy rate unchanged. In theory, that can restrain demand and help bring inflation down without another official rate increase.

But if inflation is accelerating rapidly enough, policymakers may still conclude that financial conditions are insufficiently restrictive, particularly if inflation expectations or wage demands begin to rise.

“A central bank mindful of the experience of 2022 will not want to wait for second-round effects to become entrenched before acting,” Woolman said.

The ECB therefore faces a trade-off between responding to an inflation shock that is being driven substantially by energy and avoiding excessive tightening that could weaken economic activity. According to analysts, that balance is becoming more difficult because the energy shock is occurring against a backdrop of geopolitical uncertainty rather than a purely temporary commodity-price movement. If energy prices remain elevated, the inflation impact could persist for longer than policymakers initially anticipated.

The 3.8% headline reading also complicates the communication challenge. Even if the ECB regards the underlying inflation trend as more important than the headline figure, households and financial markets respond to the prices they actually face. A sustained period of high energy inflation can influence inflation expectations even when core measures move more gradually.

The 2.5% core rate therefore matters. It is substantially closer to the ECB’s objective than the headline figure, but it remains above 2%. The September reading provides little evidence that the inflation problem has been fully resolved outside the energy shock.

The October 29 ECB meeting will consequently be closely watched for how policymakers distinguish between temporary supply-driven inflation and signs of broader price persistence.

For bond markets, the data is expected to bolster the upward pressure on yields if investors price in a higher probability of tighter monetary policy. For consumers and businesses, higher energy costs threaten to squeeze disposable income and profit margins. And for the ECB, the challenge is to prevent an external energy shock from turning into a domestic inflation cycle without unnecessarily damaging demand.

September’s inflation surge does not by itself determine the ECB’s next move. But it changes the policy backdrop materially. The central bank now has to assess not only how high inflation has risen, but how long the energy shock will last, and if underlying price pressures are easing fast enough, and higher market yields are providing sufficient restraint.

Those questions are likely to make the October meeting an important test of how the ECB responds when an inflation problem is driven initially by energy markets but begins to raise broader concerns about the persistence of price pressures.

Oil Prices Slide As Proposed Reserve Releases Ease Global Diesel Shortage Fears, Bond Yields Remain Elevated

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Oil prices fell sharply on Friday as markets responded to reports that European countries and members of the International Energy Agency could release additional fuel and crude reserves to ease a tightening global supply market.

Brent crude futures for December delivery fell 2.5% to $99.78 a barrel, while U.S. West Texas Intermediate crude for November delivery declined 3.7% to $89.42. The declines extended losses earlier in the session and came after oil prices had risen in the previous session on renewed concerns about a potential escalation of the conflict in the Middle East.

The latest move in oil markets highlights the competing forces currently shaping prices: fears of a major supply disruption linked to the conflict and the Strait of Hormuz on one side, and efforts by governments to release strategic stocks and stabilize fuel markets on the other.

The immediate catalyst was a report that European Union governments were discussing a French proposal to release additional diesel reserves, following pressure from the Trump administration for countries to make more supplies available.

According to the report, France has proposed that EU member states release 50 million barrels of diesel, while IEA members would release another 50 million barrels of crude oil. The proposal had not been independently verified, and neither the French government nor the IEA immediately commented.

The EU was due to hold crisis talks on Friday over soaring diesel prices as governments assess how to respond to supply disruptions and the risk of further volatility in energy markets. This comes after President Donald Trump asked the EU to release oil from reserves to quell the rising cost of energy.

U.S. Treasury Secretary Scott Bessent has been pressing European allies to tap their reserves. In a social-media post Thursday, Bessent said U.S. partners in Europe “should accelerate delivery on their existing commitments and make additional supplies immediately available to address ongoing disruptions.”

“American farmers, truckers, and businesses should not be left carrying the burden of a global diesel shortage,” he added.

The pressure comes as Europe remains highly exposed to disruptions in global diesel flows. The International Energy Agency estimates that the U.S. supplied about half of the EU’s diesel imports in August, leaving the bloc vulnerable to any restrictions on American exports.

Hormuz Risk Keeps Oil Market on Edge

The proposed stock releases are being considered against a much more serious threat to global energy markets: the continuing conflict and the possibility of disruption around the Strait of Hormuz, one of the world’s most important oil and fuel transit routes.

U.S. President Donald Trump has repeatedly raised the possibility of restricting diesel exports as domestic and international fuel markets tighten. He appeared to soften that position earlier this week after crude exports through the strategically important waterway showed signs of recovering.

That shift has provided some relief to markets, but the geopolitical risk premium remains significant.

Oil prices had settled higher on Thursday following reports that the United States was deploying a third aircraft carrier strike group to the Middle East, alongside an amphibious force carrying about 2,000 Marines. The additional military presence has raised concerns that the months-long conflict could escalate, potentially threatening energy infrastructure and shipping routes.

That development has resulted in an unusual tension for oil traders. Any direct disruption to crude flows through Hormuz could push prices substantially higher, while coordinated releases of strategic stocks could temporarily offset the physical shortage and suppress prices.

The market’s reaction on Friday indicates that, at least in the near term, the prospect of additional supplies is outweighing some of the geopolitical risk.

The scale and duration of any reserve release will nevertheless matter. Strategic stocks can bridge a temporary supply disruption, but they cannot permanently replace lost production or normalize a market if transportation through a critical chokepoint remains impaired.

The situation matters more for diesel, where supply constraints can quickly spread through freight, agriculture, manufacturing and consumer prices.

Bond Yields Remain Elevated Ahead of Jobs Report

The sharp move in oil prices came as financial markets also remained focused on elevated government bond yields and the outlook for U.S. interest rates.

U.S. Treasury yields were largely unchanged Friday after a week dominated by a global bond sell-off. The benchmark 10-year Treasury yield was fractionally higher at 5.235%, after reaching multiyear highs Thursday before retreating. The 30-year Treasury yield was unchanged at 5.603%, after reaching its highest level in 24 years the previous day. The two-year Treasury yield rose 1.1 basis points to 4.8%.

A basis point equals 0.01 percentage point. Bond yields and prices move in opposite directions.

The pressure on government bonds eased elsewhere, with 10-year yields falling by roughly three basis points across major European economies. But the broader rise in yields has been driven by concerns that inflation remains persistent and central banks could keep monetary policy restrictive for longer.

That makes Friday’s U.S. employment report particularly important for markets.

Economists surveyed by Dow Jones expected the September nonfarm payrolls report to show 84,000 jobs added, while the unemployment rate was expected to remain at 4.1%.

“Clearly, the monthly jobs reports are always a macro highlight, but this is an important one, as the continued data resilience has been a huge factor supporting US risk assets, and it’s also given the Fed space to start hiking rates,” Deutsche Bank analysts said in a note Friday.

Markets were pricing a 72% probability that the Federal Reserve would leave interest rates unchanged at its October meeting, according to CME Group’s FedWatch Tool.

The combination of oil prices, inflation and interest rates leaves investors facing competing signals. A sustained energy shock would increase inflationary pressure and potentially reinforce higher-for-longer interest-rate expectations. Conversely, a meaningful release of strategic reserves could reduce immediate fuel-price pressures and give central banks more room to focus on underlying economic conditions.

The Future of Encryption in the Age of AI and Quantum Computing

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For nearly two decades, quantum computing has carried the reputation of being perpetually “a few years away.” Researchers have repeatedly promised breakthroughs, companies have demonstrated increasingly sophisticated machines, and investors have poured billions into the technology.

Yet the large-scale quantum computer capable of breaking today’s most important encryption remains out of reach. That timeline may be less important than it sounds.

The cybersecurity industry is already preparing for a quantum future because sensitive information does not become irrelevant simply because the technology capable of decrypting it has not arrived.

The central concern is known as “harvest now, decrypt later.” An attacker can intercept encrypted communications today, store them, and wait for sufficiently powerful quantum computers to emerge.

If those machines eventually defeat the cryptographic systems protecting the information, yesterday’s secrets could become tomorrow’s intelligence. NIST specifically warns that financial records, intellectual property, government information and other long-lived sensitive data can face this risk.

This changes the conventional cybersecurity clock. Organizations cannot simply wait until quantum computers become powerful enough to break encryption and then begin upgrading their systems.

Cryptographic migration can take years, sometimes much longer, because encryption is embedded throughout banking systems, cloud infrastructure, telecommunications networks, software, government platforms and connected devices.

NIST has therefore already moved beyond theoretical preparation. In 2024, it finalized three post-quantum cryptography standards: ML-KEM for key establishment, ML-DSA for digital signatures and SLH-DSA as an alternative signature system.

The standards are designed to protect communications and authentication against future quantum attacks. Then comes artificial intelligence. AI does not magically create a quantum computer, but it can accelerate the broader security arms race.

AI systems can analyze enormous quantities of code, identify unusual patterns, automate vulnerability discovery and assist researchers in testing cryptographic implementations.

In July 2026, NIST noted that Anthropic had used an AI model to discover a vulnerability in HAWK, a lattice-based digital-signature algorithm under consideration for standardization.

The HAWK team subsequently withdrew the algorithm. NIST emphasized that the incident did not affect its finalized ML-KEM or ML-DSA standards. The episode illustrates an important point: AI can compress parts of the cybersecurity research cycle.

A vulnerability that might require extensive human analysis can potentially be identified faster when machine intelligence searches through mathematical structures, software implementations or enormous bodies of technical information.

The same capability can work against defenders. AI-assisted attackers could automate reconnaissance, analyze stolen datasets, identify weak implementations and scale social-engineering operations.

Quantum computing and AI therefore represent different technological challenges, but they can reinforce the urgency surrounding digital security. The practical question is no longer simply when quantum computers will arrive.

It is how long critical data must remain confidential and how difficult it would be to replace the cryptography protecting it. That makes post-quantum security less like buying insurance for a distant catastrophe and more like replacing aging infrastructure before it fails.

The quantum machine capable of cracking modern encryption may still be years away—or considerably longer. But the migration to stronger defenses has already begun. The paradox is that quantum computing does not need to arrive tomorrow to create a security problem today.

The future threat is already influencing how governments, technology companies and security researchers redesign the foundations of digital trust.