Datadog’s large bark: why AI might not be the top of software program

Datadog simply gave the software program sector one thing it badly wanted: proof that synthetic intelligence (AI) is just not solely a risk. Typically, it’s also a buyer.

On 7 Could 2026, Datadog closed at 188.73 USD up 31.3%, after the corporate reported stronger than anticipated first-quarter outcomes and raised its full-year outlook. That’s not a standard Thursday for a software program inventory. That could be a labrador listening to the phrase “stroll”.

Datadog sells cloud monitoring and safety software program. In plain English, it helps corporations see what is occurring inside their digital methods, spot issues, and repair them earlier than prospects discover. That is referred to as observability, which appears like a college phrase, however actually means “do we all know what simply broke, the place, and why?”

The larger message goes past one firm. For months, buyers have nervous that AI will harm software-as-a-service (SaaS), the place prospects lease software program on-line as an alternative of shopping for it as soon as. The worry is straightforward: if AI brokers can write code, deal with help, analyse knowledge and automate workplace duties, some software program instruments could turn into much less precious. Datadog’s outcomes present the story is extra nuanced. AI is just not taking a flamethrower to software program. It’s sorting the helpful from the replaceable.

The market appreciated development with a motive

Datadog’s first-quarter income rose 32% from a yr earlier to 1.01 billion USD. The corporate additionally lifted its 2026 income outlook to between 4.30 billion USD and 4.34 billion USD, above earlier steerage and analyst expectations. Adjusted earnings had been 0.60 USD per share, additionally forward of expectations, in response to estimates compiled by Bloomberg.

The standard of the expansion mattered. Datadog ended the quarter with about 4,550 prospects spending a minimum of 100,000 USD in annual recurring income, up 21% from a yr earlier. Annual recurring income means the income an organization expects to repeat over a yr from subscriptions. For buyers, this helps present whether or not prospects are staying and increasing, not simply signing one-off offers.

The corporate additionally generated 289 million USD of free money movement. Free money movement is the money left after working and investing within the enterprise. It issues as a result of development funded by actual money is often more healthy than development funded primarily by hope, convention slides and really costly espresso.

For this reason the share worth response was so robust. Traders weren’t solely reacting to a beat. They had been reacting to an organization that seems to take a seat the place two forces meet: cloud complexity and AI complexity.

AI is just not killing software program. It’s altering the check

The previous SaaS query was: how many individuals use the software program? The brand new AI query is: how deeply does the software program sit contained in the buyer’s operations?

That could be a large distinction. Instruments that cost per worker could face strain if AI reduces headcount or automates duties. Easy workflow instruments may additionally face bundling danger, the place giant platforms akin to Microsoft, Google or Salesforce add related options inside broader packages. When a characteristic turns into a part of the furnishings, standalone pricing can get more durable.

Datadog is a special kind of software program firm. It’s nearer to digital infrastructure. When corporations use extra cloud companies, extra functions, extra AI fashions and extra automated brokers, their methods turn into more durable to handle. Extra shifting elements imply extra issues can fail. Datadog sells the management room.

AI could subsequently improve the necessity for observability. Giant language fashions, the methods behind instruments akin to chatbots and brokers, can fail in methods conventional software program didn’t. They’ll decelerate, produce errors, overload methods, or value an excessive amount of to run. Firms utilizing AI have to know what is occurring throughout fashions, graphics processing models (GPUs), knowledge flows, safety alerts and buyer experiences.

That’s the vital lesson. AI doesn’t deal with all software program equally. It pressures some instruments, lifts others, and forces each firm to show its relevance.

From promoting seats to fixing issues

The SaaS mannequin can be altering. Many older software program companies grew by promoting extra seats, that means extra customers inside a buyer. That mannequin works effectively when employment grows and software program spreads throughout departments. It seems much less bulletproof when AI brokers can do extra work with fewer human clicks.

Datadog’s mannequin advantages extra from utilization and complexity. If a buyer runs extra functions, produces extra knowledge, or deploys extra AI methods, the necessity for monitoring can rise. This doesn’t make the enterprise risk-free, but it surely offers buyers a clearer motive why AI is usually a tailwind.

That distinction is beneficial throughout the software program sector. An organization could also be extra resilient if it helps prospects handle danger, decrease prices, defend knowledge, enhance uptime, or run AI safely. An organization could also be extra uncovered if AI can simply copy its output, scale back its person base, or permit a bigger platform to bundle the identical perform.

In brief, software program buyers now want a sharper filter. “AI publicity” is just not sufficient. Each firm claims that, ideally earlier than lunch. The higher query is whether or not AI makes the product extra essential, much less essential, or merely extra marketable.

Dangers: not each bark means a moat

There are nonetheless dangers. Datadog’s valuation now displays quite a lot of excellent news, so even small disappointments might matter. Robust development can help excessive expectations, however excessive expectations not often include a security helmet.

Competitors is one other danger. Cloud suppliers, safety distributors and different software program platforms all need extra of the identical finances. Clients may additionally attempt to simplify their software program stacks, particularly if the financial system weakens.

Lastly, AI demand itself might turn into uneven. Firms are nonetheless studying how a lot worth they get from AI instruments in manufacturing. Look ahead to indicators akin to slower buyer development, weaker utilization growth, decrease free money movement margins, or administration speaking extra about “long-term alternative” than near-term adoption.

Investor playbook: comply with the usefulness

• Separate AI labels from AI economics. Search for income development, money movement and buyer growth.
• Watch pricing fashions. Utilization-based income could profit when digital exercise grows.
• Test whether or not AI raises complexity. Extra complexity can help monitoring, safety and knowledge instruments.
• Maintain place measurement in context. Nice tales can nonetheless turn into costly tales.

The larger lesson

Datadog’s outcomes don’t show that every one software program is protected from AI disruption. They show one thing extra helpful: the software program sector is just not one single story. AI can substitute some duties, weaken some pricing fashions, and make some instruments look strange. However it may additionally create new issues that corporations should monitor, safe and management.

Datadog rallied as a result of buyers noticed a software program enterprise standing close to that management layer. For long-term buyers, that’s the actual takeaway. The AI age could not reward each software program firm, but it surely nonetheless wants software program that retains the machines from turning the workplace into a really costly guessing recreation.

This materials is advertising and marketing content material and shouldn’t be thought to be funding recommendation. Buying and selling monetary devices carries dangers and historic efficiency is just not a assure of future outcomes.

The instrument(s) referenced on this content material could also be issued by a accomplice, from whom Saxo receives promotional charges, fee or retrocessions. Whereas Saxo could obtain compensation from these partnerships, all content material is created with the goal of offering purchasers with precious data and choices.