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Alphabet’s latest quarterly results tell a powerful story. Google is accelerating its artificial intelligence push at historic speed, but that momentum is colliding with the hard physics of energy, emissions, and infrastructure limits. The company is scaling AI faster than any previous technology cycle—yet keeping emissions in check is becoming more complex and uncertain.

This tension between explosive AI growth and ambitious climate goals defines Google’s next decade.

Alphabet’s Blockbuster Quarter Signals a New AI Era

Alphabet closed 2025 with one of its strongest quarters ever. Revenue surged nearly 18% year over year to $113.8 billion, beating analyst expectations. Earnings per share also exceeded forecasts, and net income jumped almost 30%.

Advertising remained the company’s largest revenue driver, while Google Cloud continued its breakout growth. However, YouTube advertising slightly missed expectations, partly due to weaker comparisons against election-driven ad spending in 2024.

The biggest headline, though, came from Alphabet’s spending plans. The company expects $175–$185 billion in capital expenditures in 2026, more than double its recent annual spend. Most of that money will go toward AI infrastructure, cloud capacity, and strategic investments.

This marks one of the largest corporate infrastructure spending waves in tech history.

alphabet google
Source: Alphabet

Gemini and AI Are Reshaping Google’s Core Business

Google’s AI ecosystem is expanding rapidly across products, platforms, and enterprise services.

Gemini now has over 750 million monthly active users, reflecting massive adoption across search, productivity tools, and developer platforms. Google claims it reduced Gemini’s serving costs by 78% in 2025 through optimization and better infrastructure utilization—highlighting how scale economics are starting to kick in.

Search, YouTube, and Cloud are Increasingly AI-driven:

Google’s main businesses performed strongly.

  • Search revenue reached around $63 billion, beating analyst expectations.
  • YouTube ads earned $11.38 billion, up from $10.47 billion a year earlier.
  • Google Cloud stood out with $17.66 billion, growing nearly 48%.
  • Subscriptions, platforms, and devices added another $13.58 billion.

AI is driving much of this growth. Search usage hit record levels as new conversational AI features let people ask longer, more interactive questions. Enterprise adoption of AI is also rising fast. Millions of Gemini Enterprise seats were sold in just a few months, showing strong demand for AI tools across industries.

Waymo Expands Autonomous Ride Services

The earnings report also mentioned that Waymo raised its largest investment to date and continues strong growth, providing over 400,000 rides weekly with safety as a priority.

In December, it surpassed 20 million fully autonomous trips and recently launched service in Miami, with plans to expand across the US, UK, and Japan, including airports and freeways.

Full-Year Context

Annual revenue topped $400 billion for the first time, driven by AI momentum like Gemini processing over 10 billion tokens per minute. Operating income was $35.93 billion for the quarter, with net income at $34.46 billion

The broader strategy is clear: AI is becoming the growth engine across Google’s entire stack, from consumer products to enterprise platforms.

Alphabet
Source: Stock Story

GOOGL Stock Reacts to AI Spending Plans

Alphabet Inc. (GOOGL) shares fell slightly to $331.25, down 0.54% on high trading volume of 87 million shares. The stock moved after Alphabet’s earnings were out. It’s up 18% year over year.

Investors are watching the company’s $175–185 billion AI spending plan for 2026, which is driving short-term volatility. Analysts remain positive, with a price target of $344 and a “Strong Buy” rating.

The Hidden Cost: Exploding Energy Demand

Behind this AI expansion lies a massive infrastructure footprint. Training and running large AI models require enormous computing power, and that translates directly into electricity consumption.

Google openly acknowledges that AI is driving non-linear growth in energy demand. Unlike traditional digital services, AI workloads scale unpredictably, especially with the rise of multimodal models, agentic systems, and real-time inference.

This uncertainty makes forecasting emissions trajectories far more difficult. Even with efficiency gains, absolute electricity demand is rising sharply.

Let’s take a closer look at Google’s sustainability progress and see the full picture behind its climate efforts.

Google’s Sustainability Moonshot Under Pressure

Google’s climate ambition is among the most aggressive in corporate history. The company aims to cut combined Scope 1, 2, and 3 emissions by 50% by 2030 compared with 2019 levels. Its long-term goal remains net zero across operations and value chains.

There has been real progress:

  • Scope 1 emissions declined 8% in 2024.
  • Scope 2 emissions dropped 11% through clean energy procurement.
  • Data center energy emissions fell 12% due to new carbon-free power projects.

These gains are notable because Google’s electricity consumption grew 27% in a single year. Decoupling growth from emissions is one of the hardest challenges in corporate decarbonization, and Google has partially achieved it.

But the bigger problem sits outside operational emissions.

alphabet google emissions
Source: Google

Scope 3 Emissions: The Biggest Hurdle

Google’s total ambition-based emissions reached 11.5 million tCO₂e in 2024, up 11% year over year and 51% above its 2019 baseline. The main driver is supply chain emissions—Scope 3—which rose 22% year over year.

These emissions come from hardware manufacturing, construction materials, logistics, and third-party services. As Google builds more data centers and buys more AI hardware, supply chain emissions rise almost automatically.

This creates a paradox: AI expansion increases Scope 3 emissions faster than operational decarbonization can offset them.

Data Center Construction: A Growing Carbon Challenge

One of the fastest-growing emission sources is data center construction. Embodied carbon from steel, concrete, and heavy machinery is becoming a significant part of Google’s footprint.

In 2024, data center construction emissions reached 1.6 million tCO₂e, accounting for 19% of Google’s ambition-based Scope 3 emissions. That figure is expected to rise as AI-driven data center expansion accelerates.

Google is responding with several strategies:

  • Standardized data center designs to reduce material use
  • Low-carbon concrete and steel to cut embodied emissions by up to 40%
  • Electrified construction equipment powered by clean electricity
  • Improved space efficiency to maximize infrastructure utilization

These measures can reduce carbon intensity, but they cannot fully offset the scale of new construction.

google data center emissions
Source: Google

Policy and Regional Constraints Add Complexity

The company also highlights that policy uncertainty is a major risk. Changes in climate and energy regulations can affect project timelines, costs, and investment decisions.

Regional constraints are equally critical. Many Asia-Pacific markets—key growth regions for Google—lack sufficient carbon-free electricity. Land scarcity, weak renewable resources, and high construction costs make clean energy deployment difficult.

This means AI-driven growth in Asia could significantly increase emissions unless grid decarbonization accelerates.

Google’s Dilemma: AI vs Net-Zero Equation

Alphabet is not an outlier. Every major AI company is facing the same trade-off. AI is becoming core infrastructure for the global economy, but its energy footprint is massive and rising.

Thus, the real question is whether corporate decarbonization can keep pace with AI-driven growth. Three structural tensions stand out:

  1. Infrastructure Scale vs Emissions Targets: AI requires massive data center buildouts, which drive Scope 3 emissions.
  2. Energy Demand vs Clean Power Supply: Electricity consumption is growing faster than carbon-free power deployment.
  3. Corporate Action vs Systemic Constraints: Many challenges, like grid capacity, policy frameworks, and supply chains, are beyond Google’s direct control.

Google’s disclosures offer a rare, transparent look into the carbon cost of the AI revolution. They highlight a broader reality: decarbonizing digital infrastructure is far harder than decarbonizing traditional IT services.

Can it Still Hit Its 2030 Climate Target?

As said before, the tech giant remains committed to cutting emissions by 50% by 2030, and the Science Based Targets initiative has validated its targets. But the path is increasingly narrow.

Operational emissions are trending downward, which is encouraging. The challenge is Scope 3 emissions tied to hardware, construction, and suppliers. Without systemic supply chain decarbonization, absolute emissions could continue rising—even if Google becomes more efficient per unit of compute.

However, its net-zero ambition is still alive, but it now depends as much on global energy systems, policy frameworks, and supply chains as on its own technology and investments.

Google emissions
Source: Google

Aggressive Investment in Carbon-Free Energy

It is investing heavily in clean energy, low-carbon materials, and carbon removal while simultaneously scaling AI faster than any previous technology wave.

Some steps include signing pioneering corporate deals for advanced geothermal and small modular nuclear reactors. The company is also using AI to speed up grid interconnections and optimize power purchasing.

In 2024, Google achieved in nine of its 20 data center grid regions. That’s a significant milestone, but it still falls short of its 24/7 carbon-free energy ambition.

Boosting Carbon Removals 

Google is also expanding its carbon removal portfolio. In 2024, it signed 16 new offtake agreements worth over $100 million, bringing its total removal portfolio to around 782,400 tCO₂e.

That is a 14-fold increase from 2023, but it is still tiny compared to millions of tonnes of annual emissions. Carbon removal is a long-term tool, not a near-term solution.

google net zero
Source: Google

All in all, Alphabet’s Q4 results show a company entering a new phase of AI-driven growth. The planned $185 billion annual infrastructure spend underscores how central AI is to Google’s future.

But the sustainability story is becoming more complex. The next decade will test whether AI can scale sustainably—or whether the world’s most advanced tech companies will struggle to keep their climate promises in the age of artificial intelligence.

The post Alphabet’s Blockbuster Q4 2025 Signals a New AI Era—But Will It Cloud Its Net-Zero Promise? appeared first on Carbon Credits.

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Climate-Linked Supply Chain Risk Is Already in Your P&L

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The earnings calls that quietly reframed climate from sustainability question to operating risk.

Three earnings calls in the last 18 months tell the story without any help from a press release.

Hershey, May 2024: cocoa price exposure compresses margin, and the company attributes part of the cost shock to West African weather. Olam, July 2024: coffee climate exposure quantified in the annual report. JBS, January 2025: supply chain climate disclosures expanded materially in response to investor pressure and regulatory expectation. None of these companies issued the announcement as climate news. They issued it as financial news. The climate-linked supply chain risk did not arrive with a sustainability framing; it arrived as a P&L line.

You are probably reading this article because you suspect the same thing is happening to your business. This piece walks through what is showing up on which earnings calls, how procurement and finance leaders are quantifying the exposure, and what serious corporates are doing about it before the regulator asks.

Where climate risk has already appeared in earnings

The pattern is consistent across resource-intensive sectors. A weather event compresses supply, the price spikes, the cost flows through the income statement, and the analyst on the call asks whether the event is anomalous or structural. Increasingly, the honest answer is the second one.

Cocoa is the cleanest example. The 2023 to 2024 West African harvest fell sharply on the back of erratic rainfall and disease. Cocoa futures more than tripled. Companies with concentrated West African sourcing absorbed the cost; companies with diversified sourcing absorbed less. The exposure was not climate as ESG topic. It was climate as cost of goods.

Coffee follows the same pattern. Brazilian and Vietnamese harvests have moved on weather more sharply across the last several seasons. Roasters with long-tenor supplier relationships and origin diversification have managed the volatility; roasters with spot-market exposure have not. Wheat, sugar, palm oil, beef: the same dynamic in different commodities, a pattern the IPCC AR6 Working Group II report projects will intensify across agricultural systems through mid-century.

What this means: climate risk is no longer a footnote in the 10-K. It is a line item the CFO has to explain on the call.

The three commodity exposures that hit margin first

For most companies with material Scope 3 exposure, three exposures dominate the near-term P&L risk.

  • Concentrated single-origin sourcing in a climate-vulnerable region. If your tier-one supply for any material commodity sits in one geography, you have a concentration risk that climate amplifies. Diversification across origins is the obvious hedge, but it takes years to build and requires relationships you cannot acquire by tender.
  • Supplier financial fragility under climate stress. Smallholder farmers, who supply a large share of the global cocoa, coffee, and palm oil market, do not carry the balance sheets to absorb yield shocks. When yields collapse, they exit. When they exit, your supply base shrinks, and the surviving suppliers raise prices. The risk is structural, not cyclical.
  • Logistics and storage exposure to extreme weather. Hurricane disruptions to Gulf shipping, drought-driven Panama Canal restrictions, flooding in European inland waterways: each of these has moved input costs in the last three years, a pattern documented in Munich Re’s natural catastrophe data. The exposure shows up as a one-quarter event in the financial press but accumulates over time on the cost line.

TCFD and ISSB disclosure changes

The disclosure architecture has now caught up with the risk. The Task Force on Climate-related Financial Disclosures, whose recommendations are now embedded in the ISSB’s IFRS S2 climate standard, requires companies to disclose climate-related risks across physical and transition categories, with quantification where possible.

For physical risk specifically (the climate-linked supply chain risk you are reading about), the disclosure must address both acute exposures (extreme weather events) and chronic exposures (gradual changes in temperature, precipitation, and growing seasons). The disclosure must address the time horizon over which the risk is material, the parts of the value chain exposed, and the financial impact under different scenarios.

The CSRD imposes similar requirements under European law, with double materiality (both financial and impact materiality) embedded in the assessment. The practical effect: your auditors and your investor relations team now need a defensible answer to the climate-linked supply chain risk question, and the answer needs to be quantified.

What procurement and finance can do now

Three actions matter near-term.

Map your exposure. Most companies do not have a clear view of which tier-one and tier-two suppliers sit in which climate-vulnerable geographies. Without the map, you cannot quantify the risk, and without the quantification, you cannot disclose it credibly. The map is the foundation, and World Resources Institute climate risk research provides useful public tooling to start.

Diversify and deepen, in that order. Diversification across origins reduces concentration risk, but the deeper move is to invest in the resilience of the suppliers you already have. Regenerative practices, agroforestry, soil health interventions: these reduce yield volatility under climate stress and protect your input cost trajectory.

Embed the climate spend inside procurement, not outside it. Treating climate risk as a sustainability cost line subordinates it to the ESG budget. Treating it as a procurement and resilience investment puts it in the budget that matters, which is the cost-of-goods budget that the CFO defends quarterly.

Nature-based supply chain investments are the asset class designed for exactly this purpose. They sit inside the value chain, they reduce climate-linked supply risk, they generate verifiable Scope 3 reductions, and they produce the documentation an auditor and a regulator can both test.

If you are quantifying climate-linked supply chain risk in advance of the next earnings cycle or the next disclosure period, the carbon and sustainability experts at Carbon Credit Capital can help you map your exposure and structure a Dual-Value Model response that addresses reduction, resilience, and disclosure-readiness in a single program. Schedule a consultation.

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Where should an SME start with a carbon action plan?

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More and more small and medium-sized businesses are hearing the same question from their larger customers: What is your carbon footprint? That question now travels down entire supply chains, and it arrives next to tender requirements, certification criteria, and rising customer expectations.

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Carbon Footprint

Insetting vs Offsetting: Which Actually Counts Toward Your Scope 3 Targets

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The accounting differences that decide whether your nature investment shows up in inventory, in BVCM, or nowhere at all.

The question reaches a procurement team about three weeks before the next sustainability committee meeting. Someone has read about insetting. Someone else has just signed off on an offset purchase. The CSO wants to know if the two are interchangeable. The answer is no, and the GHG Protocol Land Sector and Removals Standard is the reason why.

This article walks through what each term means at audit-grade specificity, what the standards actually say about how each gets counted, and how to decide which tool fits which target. The insetting vs offsetting question is one of the most-searched in corporate climate strategy, and one of the most poorly answered. By the end of this piece, you should be able to brief a committee on the difference without notes.

The two definitions, in plain English

Offsetting means buying carbon credits generated outside your value chain and retiring them against your residual emissions. The reduction happens somewhere else, financed by you, and the credit is the receipt.

Insetting means investing in emission reductions or removals inside your own value chain, typically with suppliers, where the reduction is directly linked to the products and services you buy. The reduction happens inside the boundary of your Scope 3 inventory, and the accounting treatment is fundamentally different.

The shorthand from the University of Oxford’s Nature-based Insetting Initiative is useful: insetting is what you do with the supply chain you have; offsetting is what you do with the supply chain you do not have.

What the GHG Protocol Land Sector Standard actually says

The GHG Protocol Land Sector and Removals Standard, finalised in 2024 after a multi-year pilot, sets the rules for how land-based emission reductions and removals enter corporate inventories. The Standard distinguishes between inventory accounting (Scope 1, 2, and 3) and project or intervention accounting (a separate methodology for crediting).

For insetting, the practical implication is that supplier-level interventions, when properly measured and attributed, can reduce your Scope 3 category 1 (purchased goods and services) emissions in your inventory. The reduction is not a credit retired against the inventory; it is a lower inventory number, period.

For offsetting, the credit is retired separately. It can be reported as a contribution toward a net-zero claim under the SBTi Beyond Value Chain Mitigation framework or as part of a VCMI Carbon Integrity claim, but it does not lower the inventory number.

A practical consequence: if your Science Based Target requires a 50% absolute reduction in Scope 3 emissions by 2030, insetting moves you toward the target. Offsetting does not. This single point of difference reshapes the procurement decision.

When insetting counts toward Scope 3 (and when it does not)

Insetting counts toward Scope 3 only when several conditions are met:

  • The intervention must occur with an entity in your value chain.
  • The emissions reduction or removal must be measured against a defensible baseline.
  • The reduction must be attributed to your share of that supplier’s output, not double-counted with other buyers.
  • It must follow the inventory accounting rules in the GHG Protocol Land Sector Standard, not the project accounting rules used to generate credits.

The most common failure mode is double counting. If your supplier sells the same reduction as a credit on the voluntary market and also reports it to you as a Scope 3 reduction, the math breaks. The Standard requires you to address this risk, typically by purchasing and retiring the supplier-issued credit as part of your inventory or by contractual provisions that prevent the supplier from selling the reduction twice.

When insetting does not count toward Scope 3: when the intervention sits with a supplier you do not buy from, when the baseline is not defensible, when the attribution is unclear, or when the documentation does not survive audit. Those cases default to Beyond Value Chain Mitigation, which is still useful but operates on a different ledger.

The procurement and supplier engagement question

Insetting is harder than offsetting. That is the unfashionable truth most buyers eventually confront. Offsetting is a transaction; insetting is a relationship.

To run an insetting program, you need supplier mapping precise enough to know which farms or facilities sit at which Scope 3 boundary. You need an engagement model that gets suppliers to participate, which usually requires multi-year commitments and shared economics. You need an MRV architecture that measures the right things and produces audit-ready documentation. And you need a contractual structure that prevents double counting and protects both sides.

The trade-off you receive in return is significant. Reductions count against your inventory rather than your residual. Supplier relationships deepen, which protects sourcing continuity. Yield and quality improvements often follow regenerative interventions, which reduces your input cost over time. And the regulatory file, under CSRD, CSDDD, EUDR, and the SBTi FLAG Guidance, is materially stronger.

Choosing the right tool for the right target

A practical decision rule. If your target is a science-based Scope 3 reduction and you operate in a FLAG sector or source FLAG commodities, insetting is the structurally correct tool. If your target is a net-zero claim that includes neutralising hard-to-abate residual emissions outside your value chain, BVCM via high-integrity offsets is the structurally correct tool. Most companies with material Scope 3 exposure need both, in different proportions, sequenced over time.

The sequencing matters. Insetting takes longer to stand up but produces a permanent reduction in the inventory. Offsetting can be transacted faster but does not change the inventory and now sits under tighter claim restrictions. Treat them as complementary tools with different jobs, not as substitutes. The Accountability Framework Initiative and the IUCN Global Standard for Nature-based Solutions both provide useful guardrails for the insetting side, with biodiversity, human rights, and benefit-sharing requirements that go beyond carbon math.

If you are mapping a Scope 3 reduction roadmap and need to scope which interventions count toward your inventory versus which sit in Beyond Value Chain Mitigation, the carbon and sustainability experts at Carbon Credit Capital can help you structure a nature-based supply chain investment program that fits your FLAG exposure, your target architecture, and your audit horizon. Schedule a consultation.

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