MARKET INSIGHTS

Weekly market commentary

Software selloff shows AI acceleration

Market take

Weekly video_20260217

Natalie Gill

Portfolio Strategist, BlackRock Investment Institute

Opening frame: What’s driving markets? Market take

Camera frame

The recent software selloff marks a dramatic shift in market perception around the AI narrative. The debate is no longer whether AI is real; now, markets are increasingly pricing in its potential to disrupt entire business models.

We think the sorting of winners and losers we see today reinforces AI’s massive buildout - and the leverage needed to finance it - that’s blurred the line between the micro and macro

Title slide: Software selloff shows AI acceleration

1: A market shift in the AI narrative

Last year, markets debated whether AI was real. Today, markets are pricing in the effect of AI as an active threat to business models.

As a result, the focus is shifting to finding companies exposed to AI disruption and sorting out the potential winners and losers. The phenomenon is rippling through sectors, but recent moves indicate that markets see software as ground zero.

The change in the AI narrative is showing up in the sharp performance divergence within tech: while software providers have underperformed in the past six months, sectors such as semiconductors and hardware have advanced.

2: Sorting winners and losers

We think we are still firmly in the AI buildout phase. Mega cap tech companies are spending heavily on chips and power infrastructure, while indicating more to come – a key reason why we like infrastructure.

What has seemingly changed is the market’s focus, which is now on how adoption will translate into real revenues and profits. This search for winners and losers means its prime time for active investing – something we emphasized in our 2026 Global Outlook.

And while software stocks have been hard hit amid the indiscriminate selloff, we see more nuance to the moves.

Not all software companies are created equal. Companies with proprietary data or strong customer relationships could leverage the AI disruption.

3: (Still) leveraging up

As the sorting process takes hold, the AI builders are locking in long-term financing to fund capital spending plans, like Alphabet’s plans to offer a 100-year sterling bond. But all this corporate borrowing adds supply to bond markets that are struggling with large, public deficits.

Greater leverage exacerbates any upward pressure on interest rates. This pressure could cool if AI-led productivity gains help the U.S. break out of its long-term 2% growth trend. We see a credible path for this to happen someday, but recent U.S. jobs data does not yet show that the sectors exposed to AI are cutting hiring.

These concerns keep us underweight U.S. Treasuries. We’re selective in credit, where we prefer high yield and European bonds as AI builders have largely tapped the U.S. investment grade market.

Outro: Here’s our Market take

We’re still in the buildout phase of the AI theme, though markets are now focused on identifying potential losers. We favor U.S. equities, but think selectivity is crucial. We also prefer select credit opportunities over long-duration U.S. Treasuries.

Closing frame: Read details: blackrock.com/weekly-commentary

Widening AI disruption

The software selloff shows the market is recognizing AI’s disruptive power, with the focus shifting to potential losers. We favor U.S. equities and selected credit.

Market backdrop

U.S. jobs surprised to the upside last week while core CPI met expectations. Underlying inflation pressures bolster the case for an extended Fed pause.

Week ahead

U.S. core PCE and Q4 GDP data this week could play into interest rate expectations, shaping financing conditions for the AI buildout.

The recent software selloff marks a dramatic shift in the AI narrative. A few months ago, the market debated whether AI was real. Today, it’s seen as an active threat to business models. We believe the hunt to sort the winners and losers reinforces AI’s massive buildout - and the borrowing spree by to finance it. The corporate micro spending has a macro impact, as increased leverage amplifies any upward pressure on interest rates. We like U.S. equities and credit, but get selective.

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A market shift in the AI narrative
S&P sector performance, past 6 months

The chart shows the steepening divergence within the tech sector: software providers have underperformed sharply over the past six months, while semiconductors and hardware have outperformed.

The figures shown relate to past performance. Past performance is not a reliable indicator of current or future results. It is not possible to invest in an index. Indexes are unmanaged and performance does not account for fees. Source: BlackRock Investment Institute with data from LSEG Datastream, February 2026. Note: The chart shows the performance for various S&P tech sector indexes.

The market has been laser-focused on identifying companies exposed to AI disruption - and sorting out which ones it thinks will be able to evolve and adapt. The phenomenon is rippling through industry sectors, but software has been ground zero. New AI agents can take on software-linked tasks, for example, potentially eroding the competitive moat some software companies have enjoyed for decades. The change in the AI narrative has triggered indiscriminate selling of these firms, resulting in a marked performance divergence within tech sectors. Software providers have underperformed sharply in the past six months, as the chart’s red line shows. By contrast, sectors essential to the AI buildout – such as semiconductors and hardware – have advanced.

Indeed, we are still firmly in the AI buildout phase. The mega cap tech companies are spending heavily on chips, data centers and power infrastructure. This is a key reason why we still like infrastructure. What has changed is the market’s focus: it now asks how AI adoption will translate into revenues and profits. This sorting of winners and losers means it’s prime time for active investing, as we emphasized in our 2026 Global Outlook. The broad software selloff shows how markets can miss nuances in the near term. Case in point: Software companies with proprietary data, mission-critical workflows or strong customer relationships can leverage AI disruption and thrive, we believe. It’s key to apply such a granular lens beyond public markets. Software makes up a sizeable portion of many private equity funds, so AI disruption could be existential for some portfolio companies. Private credit is likely more shielded, in our view, as much of its software exposure is in short-term and senior-secured debt.

In emerging markets, mega forces trump traditional macro

As the sorting process accelerates, the AI builders are locking in long-term financing to fund capex. Alphabet recently raised $20 billion in the U.S. investment grade market and is reportedly preparing a 100-year sterling bond. The issuance bonanza reflects our Outlook’s leveraging up theme: Investment is occurring now, and revenues will follow later, with credit bridging the gap. The problem: Rising corporate borrowing adds supply to bond markets struggling to digest large public deficits. The AI mega force is so powerful that it drives the macro environment, compounding any upward pressure on interest rates.

Such pressures simmered in last week’s U.S. jobs report, which showed wage growth consistent with inflation settling above the Federal Reserve’s 2% target. The pressure could abate if AI productivity gains can break U.S. growth out of its longstanding 2% trend. We see a credible path for that to happen some day, but recent U.S. jobs data do not yet show that sectors exposed to AI are cutting hiring. We stay underweight long-term U.S. Treasuries as a result, and we’re selective in credit. The AI builders have largely tapped the U.S. investment grade market, so we prefer high yield and European bonds.

Our bottom line

We’re still in the AI buildout – but markets are now focused on a search for losers in the AI adoption phase. We favor U.S. equities, with selectivity crucial as dispersion widens. We prefer selected credit over long U.S. Treasuries.

Market backdrop

The S&P 500 fell on the week as the selloff of sectors seen as vulnerable to AI accelerated. U.S. 10-year Treasury yields hit a five-month low after U.S. January core CPI met expectations. This matched the picture from earlier in the week: an upside surprise of U.S. jobs data consistent with inflation settling closer to 3% than the Federal Reserve’s 2% target. That suggests monetary policy will remain restrictive, keeping markets highly sensitive to incoming inflation and growth data.

We’re watching U.S. core inflation this week for additional clues on the path of interest rates. Any changes would affect financial conditions for the ongoing AI buildout. We expect fourth-quarter GDP growth to moderate from the strong 4.4% annualized pace in the third quarter, while still reflecting strong underlying momentum.

Week ahead

Performance within the tech sector has diverged sharply, with software lagging while semiconductors and hardware - two segments that are essential to the AI buildout - have led over the past six months.

Past performance is not a reliable indicator of current or future results. Indexes are unmanaged and do not account for fees. It is not possible to invest directly in an index. Sources: BlackRock Investment Institute, with data from LSEG Datastream as of February 12, 2026. Notes: The two ends of the bars show the lowest and highest returns at any point year to date, and the dots represent current year-to-date returns. Emerging market (EM), high yield and global corporate investment grade (IG) returns are denominated in U.S. dollars, and the rest in local currencies. Indexes or prices used are: spot Brent crude, ICE U.S. Dollar Index (DXY), spot gold, spot bitcoin, MSCI Emerging Markets Index, MSCI Europe Index, LSEG Datastream 10-year benchmark government bond index (U.S., Germany and Italy), Bloomberg Global High Yield Index, J.P. Morgan EMBI Index, Bloomberg Global Corporate Index and MSCI USA Index.

Feb. 18

U.K. CPI, Japan trade balance

Feb. 19

U.S. international trade & initial jobless claims

Feb. 20

U.S. core PCE & Q4 2025 GDP advance, Japan CPI, and global PMI flash

Read our past weekly market commentaries here.

Big calls

Our highest conviction views on six- to 12-month (tactical) and over five-year (strategic) horizons, February 2026

  Reasons
Tactical  
Still favor AI We see the AI theme supported by strong earnings, resilient profit margins and healthy balance sheets at large listed tech companies. Continued Fed easing into 2026 and reduced policy uncertainty underpin our overweight to U.S. equities.
Select international exposures We like Japanese equities on strong nominal growth and corporate governance reforms. We stay selective in European equities, favoring financials, utilities and healthcare. In fixed income, we prefer EM due to improved economic resilience and disciplined fiscal and monetary policy.
Evolving diversifiers We suggest looking for a “plan B” portfolio hedge as long-dated U.S. Treasuries no longer provide portfolio ballast – and to mind potential sentiment shifts. We like gold as a tactical play with idiosyncratic drivers but don’t see it as a long-term portfolio hedge.
Strategic  
Portfolio construction We favor a scenario-based approach as AI winners and losers emerge. We lean on private markets and hedge funds for idiosyncratic return and to anchor portfolios in mega forces.
Infrastructure equity and private credit We find infrastructure equity valuations attractive and mega forces underpinning structural demand. We still like private credit but see dispersion ahead – highlighting the importance of manager selection.
Beyond market-cap benchmarks We get granular in public markets. We favor DM government bonds outside the U.S. Within equities, we favor EM over DM yet get selective in both. In EM, we like India which sits at the intersection of mega forces. In DM, we like Japan as mild inflation and corporate reforms brighten the outlook.

Note: Views are from a U.S. dollar perspective, February 2026. This material represents an assessment of the market environment at a specific time and is not intended to be a forecast of future events or a guarantee of future results. This information should not be relied upon by the reader as research or investment advice regarding any particular funds, strategy or security.

Tactical granular views

Six- to 12-month tactical views on selected assets vs. broad global asset classes by level of conviction, February 2026

Legend Granular

We have lengthened our tactical investment horizon back to six to 12 months. The table below reflects this and, importantly, leaves aside the opportunity for alpha, or the potential to generate above-benchmark returns – especially at a time of heightened volatility.

Past performance is not a reliable indicator of current or future results. It is not possible to invest directly in an index. Note: Views are from a U.S. dollar perspective. This material represents an assessment of the market environment at a specific time and is not intended to be a forecast or guarantee of future results. This information should not be relied upon as investment advice regarding any particular fund, strategy or security.

Euro-denominated tactical granular views

Six to 12-month tactical views on selected assets vs. broad global asset classes by level of conviction, February 2026

Legend Granular

We have lengthened our tactical investment horizon back to six to 12 months. The table below reflects this and, importantly, leaves aside the opportunity for alpha, or the potential to generate above-benchmark returns – especially at a time of heightened volatility.

Past performance is not a reliable indicator of current or future results. It is not possible to invest directly in an index. Note: Views are from a euro perspective, February 2026. This material represents an assessment of the market environment at a specific time and is not intended to be a forecast or guarantee of future results. This information should not be relied upon as investment advice regarding any particular fund, strategy or security.

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Meet the authors
Jean Boivin
Head – BlackRock Investment Institute
Wei Li
Global Chief Investment Strategist – BlackRock Investment Institute
Nicholas Fawcett
Senior Economist – BlackRock Investment Institute
Natalie Gill
Portfolio Strategist – BlackRock Investment Institute