AI investment is supporting global activity in 2026, but that does not by itself prove the investment will earn satisfactory returns.

Spending on data centres, chips, networking and electricity infrastructure boosts production today. Profits and productivity may arrive much later—or fall short of expectations. The most useful way to understand the boom is to separate the real assets being built from the valuations attached to their future cash flows.

The IMF’s October 2026 World Economic Outlook identifies AI-led investment as one reason growth has held up despite energy and geopolitical shocks. Meanwhile the IMF Global Financial Stability Report lists an AI-related market correction among the threats that could tighten financial conditions. Those two findings are compatible: a technology can be economically consequential while assets associated with it are mispriced.

Key takeaways

• AI capital expenditure contributes immediately to equipment orders, construction and power infrastructure.
• The WTO says AI-enabling goods accounted for 47% of global merchandise trade growth by value in the first half of 2026.
• Large investment does not automatically establish durable profits, nor do high valuations prove a speculative bubble.
• Power, water, grid access, financing and actual adoption are constraints on the return to AI infrastructure.
• Asia has supply-chain advantages, but emerging economies need to compete in services, skills and reliable infrastructure too.

Follow the economic chain, not the slogans

A cloud company decides to build computing capacity. It buys advanced processors, storage and networking equipment. Contractors build or expand a facility. A utility upgrades substations; engineering firms install cooling. Suppliers hire workers and purchase materials. These are real economic activities even before the data centre’s first customer pays for a computing service.

The supply-chain effects can travel across borders. A server system may depend on design, fabrication, assembly, electrical equipment and software from different economies. The WTO’s October 2026 trade analysis found that AI-enabling goods accounted for 47% of global merchandise trade growth in value terms during the first half of the year. The statistic covers contribution to trade-value growth, not 47% of all world exports and not 47% of GDP growth.

The distinction matters. It shows that AI equipment demand has become unusually important to the change in trade, but it does not mean the gains are widely distributed. Economies producing the most specialized equipment may gain disproportionately, while energy importers or countries outside these supply chains experience few immediate benefits.

Three separate investment stories

The hardware cycle

Demand for processors, memory, networking and cooling systems generates revenue for companies with production capacity. But supply can eventually catch up, and buyers may change specifications or postpone purchases. Equipment that is scarce in one year can have weaker pricing power in another. The investment case should therefore consider order durability and dependence on a few major customers.

The infrastructure cycle

Data centres require land, grid connections, resilient power, fibre links and cooling. The IEA’s October 2026 report on powering AI evaluates electricity-system issues across 34 jurisdictions covering roughly 90% of global data-centre capacity. It identifies affordability, emissions, water use and electricity security as policy concerns. A financially attractive building can still impose costs on surrounding ratepayers if grid upgrades and pricing are poorly designed.

The adoption cycle

Businesses need to integrate AI into actual workflows. A model that produces draft documents faster may reduce working time, but a company does not automatically record higher revenue or better output quality. Training, verification, cybersecurity and software integration can absorb part of the gains. The OECD’s 2026 cross-country evidence finds advanced-technology adoption varies greatly across industries and firm sizes, with human and technological capital important to productivity differences.

This is why the third cycle may take longer than the first two. Building capacity is easier to measure than reorganizing an entire business around a new tool.

What would make the boom a bubble?

The word ‘bubble’ is often used to describe any rapidly rising market. A more disciplined test asks whether asset prices depend on cash-flow assumptions that are both unusually optimistic and difficult to revise. In AI, analysts should consider whether customer demand and price per unit of computing will support the cost of hardware replacement, capital financing, energy, staffing and security.

Another issue is circular financing. If infrastructure suppliers, major customers and financiers depend heavily on the same expected growth trajectory, an adverse revision can affect multiple balance sheets simultaneously. This does not prove that such a collapse will happen. It explains why concentration can magnify a shock even when initial projects are economically genuine.

The IMF’s 2026 financial-stability assessment warns that an AI-related correction could be amplified by leverage and concentrated positions. The relevant question is therefore how much risk sits outside transparent public equity markets—in private credit, leveraged investment vehicles and large contractual commitments.

An investor’s and policymaker’s dashboard

Question	Healthy evidence	Warning sign
Are customers paying?	Repeat revenue and demonstrable usage	Rising capacity without confirmed demand
Is computing economic?	Positive returns after energy and replacement costs	Profitability reliant on permanent high prices
Is electricity available?	Funded grid connection and transparent tariffs	Unfunded or delayed grid upgrades
Is adoption productive?	Better verified output per worker or process	Only demonstrations and time-saved surveys
Is financial exposure diversified?	Broad customer base and prudent funding	Crowded positions, leverage and opaque obligations
Can low-income countries participate?	Skills, connectivity and export access	Incentives restricted to a small group of hubs

Original editorial due-diligence framework; the indicators are tests, not factual ratings of particular companies.

Why Asia could win without every economy winning

AI hardware’s international supply chain rewards clusters with manufacturing expertise, deep supplier networks and reliable power. But clustering also means a handful of economies capture much of the immediate capital expenditure. The UNCTAD World Investment Report 2026 describes a global investment rebound concentrated in a narrow set of recipients and strategic sectors.

For South Asia the route to participation may be less glamorous but more achievable. Software services, testing, security review, back-office workflow redesign and domain-specific digital services all sell expertise rather than massive server farms. These activities still require reliable broadband, predictable cross-border payments, trained workers and credible data governance.

Pakistan’s economic policy should distinguish an exportable service from a subsidized prestige project. Investing public funds in computing infrastructure makes sense only if realistic demand, electricity availability and measurable local benefits justify the expenditure. A smaller programme improving technical education, network reliability and digital payments may sometimes deliver more development value than a headline-grabbing facility.

Productivity is the ultimate scorecard

The International Labour Organization’s June 2026 evidence review finds real but uneven gains, with reported time savings not yet consistently translated into measured output, earnings or employment. That observation neither debunks AI nor validates unlimited spending. It suggests adoption and measurement are lagging behind deployment.

Consider a legal services business. Faster document drafting might reduce the hours needed for a first version. But lawyers must check accuracy, safeguard confidentiality and remain responsible for advice. Whether the firm becomes more productive depends on client pricing, workload, quality control and staff redeployment. A narrowly defined speed improvement should not be extrapolated into an economy-wide productivity miracle.

Productivity can also appear in unexpected places: lower error rates, fewer customer callbacks, better scheduling or quicker identification of equipment faults. Firms should measure outcomes, not only the number of employees using AI tools. Governments in turn should measure diffusion among ordinary enterprises, not just investment announcements by technology leaders.

The energy bill is part of the AI bill

The new infrastructure cannot run on investor expectations alone. It needs physical electricity, generation capacity, transformers, water or alternative cooling systems and dependable grid management. Pricing decisions determine who bears those costs. A development strategy that promises cheap dedicated electricity to data centres while passing network expenses to households can distort both competition and social acceptance.

The IEA’s October 2026 AI-electricity study makes the challenge concrete: policymakers must integrate fast-growing concentrated demand while maintaining affordability and security. The opportunity is to build infrastructure that serves broader industrial needs, not merely one class of customers.

There is an additional investment trap. Infrastructure can remain productive for decades, while specialized chips may face faster economic obsolescence. Valuations must reflect depreciation and replacement cycles. A data centre may have a long-lived building and grid connection but require costly hardware renewal to remain competitive.

What would change the verdict in 2027?

A credible bullish case would feature continued broad customer adoption, profits after depreciation, productivity improvements and expansion beyond the richest firms and countries. A bearish case would feature overcapacity, falling revenue per unit of computing, financing stress or slower-than-expected enterprise uptake. Between those extremes lies a more plausible uneven outcome: useful AI services alongside disappointed investors in some projects.

To judge the outcome, watch capital expenditure and customer revenue, investment commitments and grid availability, user adoption and verified output. Avoid treating stock-market performance as a direct proxy for society’s benefit from technology.

Frequently asked questions

Is the AI boom causing global GDP growth?

AI-related investment supports construction, hardware sales and services. The IMF identifies it as an important source of current resilience, but not the sole explanation for global growth.

Does a large increase in AI trade mean all countries benefit?

No. The WTO’s statistic concerns AI-enabling goods’ contribution to merchandise trade growth in value terms. Benefits depend on each economy’s position in the supply chain.

Is there definitely an AI bubble in 2026?

No definitive test establishes that the whole sector is a bubble. Valuation risk is elevated where expected future earnings are highly optimistic or financing is fragile.

Why do data centres affect household electricity costs?

They can require new network capacity and generation. Whether households pay part of the bill depends on utility regulation, connection charges and electricity tariffs.

Can Pakistan benefit without making chips?

Potentially, through software, compliance, workflow redesign, data services and workforce skills—provided domestic infrastructure and payment systems improve.

What is the most important performance measure?

Sustainable returns and verified productivity gains after total costs are counted, not just the number of models, users or newly announced facilities.

Conclusion

AI can sustain near-term global activity and still disappoint some investors. That is not a contradiction; it is the difference between economic spillovers and financial returns. For policymakers, the priority should be broad diffusion, affordable infrastructure and competition. For investors, it should be evidence of durable customers and profits. The boom becomes more valuable—and less fragile—when its benefits extend beyond an expensive and concentrated build-out.

Stabilization buys time; investment and productivity create lasting prosperity. Pakistan needs an achievable growth strategy that combines trade reliability, energy reform, digital capabilities and broad access to skills. This feature explains the mechanisms, risks and practical decisions that matter through 2027, with particular attention to Pakistan’s different exposure to energy prices, external financing, global trade and AI investment.

At a glance

• World output is forecast to rise, but opportunities and costs are uneven across countries.
• Global inflation forecasts do not predict household prices in Pakistan.
• The AI capital expenditure cycle lifts trade in electronics but may not translate into productivity gains everywhere.
• Pakistan’s IMF staff-level agreement is a milestone, not final Board approval.
• Stronger exports, competitive energy, fiscal credibility and skills are essential to durable growth.

The verified starting point: what the numbers actually say

The IMF October 2026 World Economic Outlook projects global growth of 3.1% in calendar 2026 and 3.4% in calendar 2027, alongside global headline inflation of 4.7% and 4.1%, respectively. Its statistical cutoff is 1 October 2026. The WTO October 2026 trade outlook projects merchandise trade volume growth of 3.9% in 2026 and 4.1% in 2027, versus commercial-services trade volume growth of 3.3% and 6.4%. These are forecasts from different statistical systems, not interchangeable growth measures.

For Pakistan, the IMF Pakistan October 7 staff-level agreement estimated FY2026 growth of 3.6%, September headline inflation of approximately 10.3%, and gross reserves near $21.5 billion at end-September. The fourth EFF review and third RSF review had reached staff-level agreement only, pending IMF Executive Board approval as of the release. Pakistan’s fiscal years run July–June; IMF global growth figures refer to calendar years.

Indicator	2026	2027	Important distinction
IMF world GDP growth	3.1%	3.4%	Calendar-year projection
IMF world headline inflation	4.7%	4.1%	Global estimate, not Pakistan CPI
WTO goods trade volume growth	3.9%	4.1%	Real volume, not nominal trade value
WTO commercial services volume growth	3.3%	6.4%	Conditional rebound, not guaranteed

The World Bank June 2026 Global Economic Prospects provides an earlier comparison framework, but its publication date and methodology differ from the October IMF and WTO releases. A thoughtful analysis should compare like with like and should never treat projections as realized outcomes. For a Pakistan-focused story, the crucial question is how global conditions enter domestic economic life.

Why this story matters now

The WTO October 2026 executive summary says AI-enabling goods accounted for 47% of year-on-year growth in the value of world merchandise trade during the first half of 2026. That does not mean 47% of all merchandise trade was AI-related. It identifies a contribution to growth, and in nominal value terms. The same source notes that AI-enabling goods trade rose 67% year-on-year in that period. These figures show how a narrow technology cycle can make global trade appear stronger even as other sectors struggle.

Meanwhile the Reuters October 2026 IMF annual meetings reports persistent concern about global financial risks, geopolitical disruptions and the uneven sharing of AI gains. The Reuters October 2026 Asian growth describes a region where technology investment supports some exporters while energy costs and higher yields challenge others. Pakistan is therefore exposed simultaneously to a potential technology opportunity and to more conventional fuel, financing and trade vulnerabilities.

Why stabilization is necessary but insufficient

For why stabilization is necessary but insufficient, A development strategy should prioritize the few reforms that unlock many activities at once. Reliable electricity improves factories, digital services, education and hospitals; smoother customs procedures help both traditional exporters and smaller new firms.

This matters for economic decision-making because firms and households cannot adjust instantaneously when conditions shift. Prices, contracts, worker skills and financial obligations move on different schedules. Analysts should identify the timetable, who bears the immediate cost, and who may capture the longer-term benefit.

A credible implementation plan requires named institutions, measurable indicators and regular public reporting. The point is not to promise an effortless transition; it is to make policy options concrete enough to compare their benefits and trade-offs.

Pakistan-specific decision test. For why stabilization is necessary but insufficient, ask four questions: (1) Which import cost, export opportunity, credit channel or productivity constraint is affected? (2) Which groups face the first-round effects? (3) What could policymakers or firms change within six months? (4) Which published indicator would demonstrate improvement rather than merely announce activity?

What to monitor: (i) official monthly or quarterly data; (ii) movements in export receipts and import bills; (iii) price changes versus changes in physical volumes; (iv) borrowing and working-capital costs; and (v) job quality and household purchasing power. A single monthly reading can be noisy. Comparing several releases helps distinguish a trend from a short-lived disturbance.

Export complexity and practical specialization

For export complexity and practical specialization, AI can augment business services and agriculture information, but only if workers have useful skills and firms can obtain affordable connectivity. Technology adoption is not a substitute for management, competition and trustworthy institutions.

This matters for economic decision-making because firms and households cannot adjust instantaneously when conditions shift. Prices, contracts, worker skills and financial obligations move on different schedules. Analysts should identify the timetable, who bears the immediate cost, and who may capture the longer-term benefit.

A credible implementation plan requires named institutions, measurable indicators and regular public reporting. The point is not to promise an effortless transition; it is to make policy options concrete enough to compare their benefits and trade-offs.

Pakistan-specific decision test. For export complexity and practical specialization, ask four questions: (1) Which import cost, export opportunity, credit channel or productivity constraint is affected? (2) Which groups face the first-round effects? (3) What could policymakers or firms change within six months? (4) Which published indicator would demonstrate improvement rather than merely announce activity?

What to monitor: (i) official monthly or quarterly data; (ii) movements in export receipts and import bills; (iii) price changes versus changes in physical volumes; (iv) borrowing and working-capital costs; and (v) job quality and household purchasing power. A single monthly reading can be noisy. Comparing several releases helps distinguish a trend from a short-lived disturbance.

AI as a business tool, not a slogan

For ai as a business tool, not a slogan, The real benchmark for policy success is sustained output per worker and the creation of better-paid work, not a single year of faster GDP growth financed by another round of borrowing.

This matters for economic decision-making because firms and households cannot adjust instantaneously when conditions shift. Prices, contracts, worker skills and financial obligations move on different schedules. Analysts should identify the timetable, who bears the immediate cost, and who may capture the longer-term benefit.

A credible implementation plan requires named institutions, measurable indicators and regular public reporting. The point is not to promise an effortless transition; it is to make policy options concrete enough to compare their benefits and trade-offs.

Pakistan-specific decision test. For ai as a business tool, not a slogan, ask four questions: (1) Which import cost, export opportunity, credit channel or productivity constraint is affected? (2) Which groups face the first-round effects? (3) What could policymakers or firms change within six months? (4) Which published indicator would demonstrate improvement rather than merely announce activity?

What to monitor: (i) official monthly or quarterly data; (ii) movements in export receipts and import bills; (iii) price changes versus changes in physical volumes; (iv) borrowing and working-capital costs; and (v) job quality and household purchasing power. A single monthly reading can be noisy. Comparing several releases helps distinguish a trend from a short-lived disturbance.

Investing in people and participation

For investing in people and participation, A development strategy should prioritize the few reforms that unlock many activities at once. Reliable electricity improves factories, digital services, education and hospitals; smoother customs procedures help both traditional exporters and smaller new firms.

This matters for economic decision-making because firms and households cannot adjust instantaneously when conditions shift. Prices, contracts, worker skills and financial obligations move on different schedules. Analysts should identify the timetable, who bears the immediate cost, and who may capture the longer-term benefit.

A credible implementation plan requires named institutions, measurable indicators and regular public reporting. The point is not to promise an effortless transition; it is to make policy options concrete enough to compare their benefits and trade-offs.

Pakistan-specific decision test. For investing in people and participation, ask four questions: (1) Which import cost, export opportunity, credit channel or productivity constraint is affected? (2) Which groups face the first-round effects? (3) What could policymakers or firms change within six months? (4) Which published indicator would demonstrate improvement rather than merely announce activity?

What to monitor: (i) official monthly or quarterly data; (ii) movements in export receipts and import bills; (iii) price changes versus changes in physical volumes; (iv) borrowing and working-capital costs; and (v) job quality and household purchasing power. A single monthly reading can be noisy. Comparing several releases helps distinguish a trend from a short-lived disturbance.

Measuring progress beyond GDP

For measuring progress beyond gdp, AI can augment business services and agriculture information, but only if workers have useful skills and firms can obtain affordable connectivity. Technology adoption is not a substitute for management, competition and trustworthy institutions.

This matters for economic decision-making because firms and households cannot adjust instantaneously when conditions shift. Prices, contracts, worker skills and financial obligations move on different schedules. Analysts should identify the timetable, who bears the immediate cost, and who may capture the longer-term benefit.

A credible implementation plan requires named institutions, measurable indicators and regular public reporting. The point is not to promise an effortless transition; it is to make policy options concrete enough to compare their benefits and trade-offs.

Pakistan-specific decision test. For measuring progress beyond gdp, ask four questions: (1) Which import cost, export opportunity, credit channel or productivity constraint is affected? (2) Which groups face the first-round effects? (3) What could policymakers or firms change within six months? (4) Which published indicator would demonstrate improvement rather than merely announce activity?

What to monitor: (i) official monthly or quarterly data; (ii) movements in export receipts and import bills; (iii) price changes versus changes in physical volumes; (iv) borrowing and working-capital costs; and (v) job quality and household purchasing power. A single monthly reading can be noisy. Comparing several releases helps distinguish a trend from a short-lived disturbance.

Policy options: three alternative paths, not numerical forecasts

Scenario	Assumptions	Implications for Pakistan	Early warning or confirmation
More favorable	Energy costs stabilize; export markets remain open; AI use generates measurable efficiency	Space for investment, steadier purchasing power and stronger services exports	Export orders, real income and private investment improve together
Central case	Global growth follows the broad institutional outlook; commodity and funding pressures fluctuate	Gradual recovery with uneven gains across sectors	Stable external balances without a broad productivity surge
Adverse	Energy disruptions persist; financing costs rise; AI investment is repriced	Imports become more costly, credit tighter and fiscal choices harder	Reserves, inflation expectations and financing costs weaken at once

These are qualitative editorial scenarios, not probabilities assigned by an econometric model. Their value lies in clarifying which evidence would require an updated judgment. The IMF October 2026 World Economic Outlook explicitly emphasizes downside risks involving conflict, trade tension, debt and reassessment of AI expectations.

A practical action agenda

For policymakers, the first responsibility is to protect hard-won macroeconomic stability while removing barriers to productivity. Regulatory predictability, tax administration, targeted social protection and transparent energy decisions are more useful than shifting incentives that are impossible for businesses to plan around. The IMF Pakistan 2026 country report identifies revenue mobilization, reform of state enterprises, energy-sector viability and improvements in human capital as linked policy priorities.

For exporters, resilience means identifying where demand is growing, investing in reliable delivery and obtaining credible certifications. Export strategies should track volumes, domestic value added and customer retention; gross receipts alone do not disclose profitability. For small businesses, the practical priority is to map exposure to fuel, electricity, imports and foreign-exchange requirements and to stress-test cash flows before making expansion commitments.

For households, risk management begins with an affordable budget, attention to debt servicing and a realistic distinction between nominal wage gains and purchasing power. For workers, portable skills and credible training can expand options across changing industries. None of this makes external shocks harmless; it simply offers concrete ways to be less exposed.

How this analysis differs from generic global coverage

Major international reporting is indispensable for establishing what happened. The Reuters October 2026 WTO briefing emphasizes the boost from AI to merchandise trade and the pressure of geopolitical disruption. Institutional releases provide detailed projections. This article goes a step further by asking how those macroeconomic signals might translate into local import costs, export competitiveness, employment, household budgets and reform choices. It is an interpretation of attributed evidence, not a claim of exclusive interviews or original field reporting.

The difference is particularly relevant for Pakistan because a global technology boom may coincide with higher costs for countries that import fuel but do not manufacture the equipment in highest demand. No serious strategy should assume that a worldwide headline rate automatically delivers the same benefits locally.

Frequently asked questions

What is the IMF’s global growth forecast for 2027?

The IMF’s October 2026 World Economic Outlook projects 3.4% global GDP growth in 2027, following 3.1% in 2026. These are calendar-year forecasts and may be revised as new data becomes available. See the IMF October 2026 World Economic Outlook.

Is global inflation expected to fall in 2027?

Yes, the October IMF forecast projects global headline inflation easing from 4.7% in 2026 to 4.1% in 2027. That describes the world aggregate and does not imply that prices in Pakistan will fall in absolute terms.

Is Pakistan’s latest IMF financing already approved?

The 7 October 2026 IMF release announced staff-level agreement for the fourth EFF and third RSF reviews, subject to Executive Board approval. The release should not be described as a completed Board decision. See the IMF Pakistan October 7 staff-level agreement.

Will AI investment create jobs in Pakistan?

It could create demand for implementation, software services and specialist support, while also changing tasks in existing occupations. The result depends on skills, investment, electricity reliability and competitive access to customers. No credible source guarantees a particular employment gain.

Does the WTO predict rapid growth in all kinds of trade?

No. Its October outlook differentiates merchandise volume growth from commercial-services volume growth and notes uneven performance by sector and region. Read the WTO October 2026 executive summary.

What should Pakistani companies monitor through 2027?

Export order books, input costs, electricity reliability, financing terms, exchange-rate conditions and customer demand are more operationally useful than a single global growth figure. Businesses should compare these against their own cash flows and margins.

Conclusion: the decisive issue is transmission, not the headline

Stabilization buys time; investment and productivity create lasting prosperity. Pakistan needs an achievable growth strategy that combines trade reliability, energy reform, digital capabilities and broad access to skills. The balance of risks is mixed: advanced technology can expand world production and trade, but it does not neutralize an energy shock or a financing squeeze. For Pakistan, policy credibility, internationally competitive exports and productivity-enhancing investment will determine how much of a fragile global expansion becomes better living standards at home.

This article is informational economic analysis, not individualized investment, tax or legal advice. Forecasts reflect sources available as of 21 October 2026 and should be checked before publication or subsequent updates.

Mattel’s sales are up 10% as it builds mobile games on its franchises. Q2 2026 profits fell, so here’s how Kreiz’s strategy works and what investors should watch.

Key Takeaways

• Mattel reported Q2 2026 net sales of $1.125 billion, up 10% as reported and 9% in constant currency. The company swung to an $18 million net loss from $53 million net income a year earlier.
• Gross margin fell to 48.2% from 50.9%, driven by tariffs, inflation, higher royalties, and other cost pressures.
• The digital push is real but early. Mattel launched its first self-published mobile game, based on Masters of the Universe, and its UNO Wild title is in soft launch, with a global release expected in early 2027.
• The company reaffirmed 2026 guidance: 3% to 6% constant-currency net sales growth and adjusted EPS of $1.27 to $1.39, below 2025’s $1.49.
• Management has bought back $300 million of stock so far this year and reaffirmed a $400 million full-year target.

Search Intent Summary

People searching for Mattel and Ynon Kreiz usually want to understand the company’s turnaround strategy, whether the digital bets are paying off, and whether the financials support the stock. This analysis covers the strategy, the latest quarter, the guidance, and the risks.

The Strategy: IP-Driven Play and Family Entertainment

Kreiz has framed Mattel’s strategy as growing an “IP-driven play and family entertainment business.” In practice, that means building toys, games, and entertainment around brands the company already owns, including Hot Wheels, Barbie, Masters of the Universe, UNO, and Fisher-Price, and then extending those brands into film, television, and digital games.

The approach rests on a simple logic. A toy sold once is a single transaction, while a franchise can generate revenue across several products and platforms for years. Mattel’s Q2 release credited its brand-centric operating model and global capabilities with supporting growth across categories.

Management also points to a three-year cost program, Optimizing for Profitable Growth, which the company says is on track to deliver $225 million in savings by the end of 2026. Those savings are meant to fund the investments in digital and marketing without eroding profit.

The Digital Transformation

The digital push is Mattel’s most visible change. The clearest step came in March 2026, when the company completed full ownership of Mattel163, a mobile games studio. That gave Mattel a development team and a publishing platform rather than relying on licensing games to outside studios.

Since then, the company has launched its first self-published mobile game, based on Masters of the Universe, and has put a second title, UNO Wild, into soft launch. Management says UNO Wild has met its production milestones and expects a global commercial launch in early 2027.

The company plans to spend about $40 million on digital performance marketing, but it intends to deploy most of that when UNO Wild launches in 2027, not in 2026. That timing choice matters. It means 2026 digital results are less likely to reflect the full cost or the full benefit of the strategy.

The games business is already showing up in the numbers. Worldwide gross billings for action figures, building sets, games, and other rose 35% to $358 million in Q2, driven by games, including the full contribution of Mattel163, and by action figures tied to theatrical releases.

Q2 2026: Sales Up, Profit Down

The quarter shows the trade-off in the strategy. The top line grew while profitability fell.

Metric	Q2 2026	Q2 2025	Change
Net sales	$1,125M	About $1,023M	+10% reported, +9% constant currency
Reported gross margin	48.2%	50.9%	Down 2.7 points
Adjusted gross margin	48.6%	51.2%	Down 2.6 points
Net income (loss)	($18M)	$53M	Swing of about $71M

The Q2 2025 net sales figure in the table is derived from the reported 10% growth rate, so check it against the company’s comparison table before publishing.

North America drove much of the growth, with net sales up 12%, while International rose 9%. Management highlighted growth in Hot Wheels, games, and action figures, and said Mattel gained share in vehicles and action figures, citing Circana data.

The margin pressure came from several sources. Management cited tariffs, inflation, higher royalties, and other cost pressures. Royalties are a notable point. Entertainment-linked franchises often carry royalty payments to film studios and rights holders, which rise as the franchise expands.

Guidance and What It Implies

Mattel reaffirmed its full-year 2026 outlook. The key figures are:

• Net sales growth of 3% to 6% on a constant-currency basis
• Adjusted gross margin of about 50%
• Adjusted operating income of $580 million to $630 million
• Adjusted EPS of $1.27 to $1.39

Applied to 2025 net sales of $5.348 billion, 3% to 6% growth implies roughly $5.51 billion to $5.67 billion in 2026. Set against 2025 adjusted EPS of $1.49, the adjusted EPS guidance implies a decline of about 7% to 15%. That gap is the central tension in the story: revenue is growing, but earnings are guided lower.

The guidance excludes any benefit from potential tariff refunds. If refunds materialize, they could improve results beyond the current outlook, but Mattel has not built them into its numbers.

One caveat on the EPS basis. Mattel’s Q1 release described a recast of adjusted EPS to exclude amortization of acquired intangible assets, and the figures in that release differ from those in the Q2 release. Confirm the basis used in the company’s current guidance table before quoting EPS figures.

Capital Returns

Mattel is returning cash to shareholders while it invests. The company repurchased $100 million of shares in Q2, bringing year-to-date buybacks to $300 million. It reaffirmed a full-year target of $400 million. Shares outstanding were 285.7 million at June 30, 2026.

Buybacks reduce the share count, which lifts earnings per share, but they do not add profit by themselves. Investors should separate buyback-driven EPS support from underlying growth. Adjusted operating income guidance of $580 million to $630 million is the better measure of whether the core business is improving.

Risks That Matter

Four risks stand out.

Tariffs and costs. Toys are import-heavy, and tariffs flow directly into gross margin. The Q2 margin decline shows how quickly costs can outpace pricing.

Execution in games. Mobile games are a hit-driven business. Masters of the Universe and UNO Wild have to find audiences at a reasonable cost. The company has not yet disclosed profitability for its self-published titles.

Royalty and licensing costs. As franchises grow through film and games, licensing and royalty payments can rise. That is part of the strategy, but it compresses margins in the short term.

Timing of the payoff. Much of the digital spending comes in 2027, when UNO Wild launches. A slower launch would push the payoff further out, while investors are already seeing lower margins in 2026.

Practical Takeaways for Investors

For investors tracking the turnaround, the metrics to watch are gross margin, adjusted operating income relative to the $580 million to $630 million guidance, and the performance of Mattel163 titles once they reach full launch. Sales growth alone does not show whether the strategy is creating value.

Mattel’s third-quarter results are the next checkpoint. Management said growth continued into the third quarter, and it expects to achieve full-year guidance. Verify the earnings date on the company’s investor site before publishing any timing-dependent statements.

This article is general information, not investment advice. Consider a licensed financial adviser before making investment decisions.

Future Outlook

Kreiz’s strategy is a bet that franchise-led entertainment, supported by owned games and film partnerships, can grow margins over time. The Q2 numbers show the sales half of that bet working. The profit half depends on tariffs, royalties, and whether digital titles reach profitable scale in 2027.

Frequently Asked Questions

What is Ynon Kreiz’s strategy at Mattel?

Kreiz is pursuing an “IP-driven play and family entertainment” strategy, building toys, games, and entertainment around owned brands. The strategy extends franchises into mobile games and film, supported by a cost program intended to fund growth.

Is Mattel’s digital games business profitable?

Mattel has not disclosed profitability for its self-published titles. The Mattel163 acquisition and games business contributed to Q2 revenue growth, but the company’s digital launches are still early, and its largest planned marketing spend comes when UNO Wild launches in 2027.

Why did Mattel’s profit fall if sales rose?

Gross margin fell to 48.2% in Q2 from 50.9% a year earlier. Management cited tariffs, inflation, higher royalties, and other cost pressures. Higher sales did not fully offset the margin decline.

Did Mattel change its 2026 guidance?

No. The company reaffirmed guidance for 3% to 6% constant-currency net sales growth and adjusted EPS of $1.27 to $1.39. The guidance excludes any possible tariff refunds.