The Microsoft Partner market in North America is becoming less forgiving of generic offerings. Traditional time-and-materials implementation services are still important, but Partners are under growing pressure to productize industry specific AI services, prove ROI faster, and position themselves around business transformation.

However, that doesn’t mean every Microsoft Partner is suddenly becoming an AI consultancy. With pressure to productize AI services, prove value faster, and show clients they can do more than deliver conventional professional services, the market is asking Partners for sharper propositions, clearer ROI, and more commercially aware talent.

As Dylan Cohen, Managing Director – Microsoft & Cloud Solutions at Talent New York, puts it:

“Clients are no longer asking, ‘Could you do this?’ They’re asking, ‘Have you done this, and what were the outcomes?’”

And that question is reshaping the way Microsoft Partners go to market, the roles they’re prioritizing, and the type of candidates that stand out.

It’s also exposing a bigger divide in the market: the partners with a clear point of difference are becoming easier for clients to trust and easier for candidates to buy into.

The rise of industry-specific AI offerings

One of the clearest shifts Dylan has observed is the market moving away from broad AI messaging. Saying “we do AI” is not enough. The stronger position is: we solve this problem, for this type of client, with this proof behind us.

Microsoft Partners are no longer trying to be everything to every client because broad positioning is becoming harder to defend. Clients want to know exactly where a partner has depth, what problem they solve better, where they’re developing specific solutions around industries, functions or repeatable business challenges. Whether that’s an AI solution for insurance workflows, finance operations, supply chain visibility, customer service automation or ERP process improvement.

“Already having a purpose-built solution brings a lot of credibility,” Dylan explains. “These are partners who have created actual AI products or specific offerings, not just custom-built processes.”

This is particularly relevant for businesses that have spent the last 10–20 years building expertise in a specific vertical with established IP and can leverage that domain as a platform for AI-led growth. Rather than starting from scratch, they can build AI capability around existing relationships, proprietary knowledge and proven client problems.

For overseas Microsoft Partners entering the US market, Dylan warns against a common mistake: trying to launch as a generalist.

“In this day and age, that’s just not going to work,” he says. “You’ve got to have a differentiator.”

In practical terms, that means being clear on the industry, client problem, service line, IP, or delivery capability the business wants to be known for.

And that differentiator matters to both clients and candidates. The best talent in the market want to know what a partner stands for, where it’s going, and why its proposition will win.

From AI hype to AI proof

Over the last 18 months, AI has rapidly moved from boardroom curiosity to commercial expectation, but Dylan is careful not to overstate where the market really is.

There’s more AI work happening. More partners are building services around Copilot, Power Platform, Azure, data, security, automation, and industry-specific use cases. But there’s still a gap between all that market noise and proven delivery.

Dylan explains:

“What people aren’t talking about enough is that it’s okay to feel like you’re behind on AI. There’s a lot of noise out there. Some companies are saying they’re the best at this, but they may only have one case study, and that might be the only AI project they’ve actually done.”

This is where proof points have become the differentiator. The winners are showing where they’ve implemented an AI solution, what business problems it solved, and what the measurable return looks like.

A year or two ago, it was enough to say, “Here’s what Copilot can do.” Now the stronger conversation is, “Here’s what we have done for a similar business, here’s the ROI, and here’s how we can apply that to your environment.”

AI readiness starts with data readiness

For all the momentum around AI, Dylan is clear that many clients are still missing a crucial first step: clean, well-governed data.

“Every company looking at AI needs to look at data governance and clean data first,” he says. “More often than not, clients want to use AI but have messy and incomplete data.”

For Microsoft Partners, this creates an opportunity to go beyond the end solution. The strongest AI offerings provide a holistic solution helping clients understand whether their data environment is ready, what needs to be cleaned up, and where AI can realistically create value.

Big Four investment is raising the bar

Another sign of where the market is heading, Microsoft and EY are investing more than $1 billion over five years to help organizations move beyond AI experimentation and into scaled enterprise execution. The initiative combines Microsoft’s technical depth with EY’s industry and transformation capability.

As Dylan puts it:

“This matters well beyond the Big Four. You have to be pretty naïve to think it doesn’t force other partners to raise the bar. When the Big Four are pushing it and Microsoft is investing in them, that’s clearly the direction.”

While it doesn’t mean every Microsoft Partner needs to replicate a Big Four model, it does mean the market is moving toward execution, accountability and measurable business outcomes. Clients want partners that can help them move from pilots to production, candidates want employers that are position to compete in that world.

But a sharper proposition only works if the talent behind it can deliver. Partners need people who can sell the vision, implement the solution, communicate with clients, and keep the business relevant as customer expectations shift.

The roles most in demand in North America

For Dynamics 365 partners, strong implementers remain highly sought after across D365 Finance & Operations, Business Central, and CRM.

“Good implementers are always in demand,” Dylan says. “That’s the bread and butter.”

What’s changing is the premium placed on candidates who can bring AI, Power Platform, automation or production-level transformation experience into that delivery environment. Candidates who have automated client processes, supported AI proofs of concept, or taken AI-related solutions into production are standing out.

On the Azure, data, AI, security, infrastructure and app modernization side, Dylan is seeing especially strong demand for sales professionals with existing relationships, deep Microsoft ecosystem knowledge, AI literacy and proven solution-selling capability.

Dylan says these candidates exist but aren’t easy to attract:

“At the end of the day, with the emergence of AI, the human aspect and the role of sales is still number one. You need people who can uncover specific pains, build relationships, and create a solution the client maybe didn’t even know was possible.”

This is especially important as partners move into more specific AI, ERP and transformation offerings. The more specialized the proposition, the more important it becomes to have salespeople who can translate that proposition into a client’s actual business problem.

Commercial awareness is becoming a candidate differentiator

Technical strength will always matter, but in Microsoft consulting, delivery roles are becoming increasingly commercially exposed.

As Dylan puts it:

“Being a great ERP implementation consultant is no longer enough. Being able to grow the account by spotting Phase 2 opportunities, identifying additional business challenges, suggesting improvements, and helping shape change requests is becoming an expectation.”

Rather than overselling or pushing unnecessary work onto a client, the best consultants are leveraging their technical and functional knowledge to identify where additional work can genuinely create value.

For candidates, this ability becomes a meaningful differentiator. Those who can point to examples where they expanded work with an existing client, improved a process, or identified a valuable next phase will have a much stronger position in the market.

For employers, this changes your hiring brief. Partners need consultants who can do more than deliver the task in front of them; they need people who can understand the client’s world well enough to identify what should happen next.

The strongest Microsoft Partner candidates are technically capable, can clearly communicate with stakeholders, understand business impact, and explain complex solutions in plain language.

Candidates are looking beyond salary

Post-COVID, the Microsoft talent market was heavily salary-driven with niche in-demand candidates moving for the highest number.

Today, while salary still matters and companies are still required to pay market rate, Dylan is seeing more candidates assess the full employer proposition: mission, values, leadership, career mobility, learning, culture, and whether the business is positioned to win over the long term.

“Money is obviously always a big driver,” he says. “But right now, there’s been a shift where it’s not the only thing.”

Some candidates feel safer joining larger firms or businesses making acquisitions. Others are actively avoiding environments where they feel like they’ll become “just another number.”

The businesses successfully attracting talent are clear about their differentiator. They can explain their IP, their industry focus, their leadership strength, their client base, or the type of transformation projects candidates will work on.

The clearer that story is, the easier it becomes for candidates to understand why joining that partner gives them a stronger career path than simply taking the highest offer.

Even with a strong employer proposition, hiring process discipline remains critical. The businesses winning over top talent are clear before they go to market: they know what they need, have an interview process mapped, agree on timelines, and maintain communication even when there are delays.

In Dylan’s words:

“Good candidates are rarely interviewing with only one business. If you interview a candidate and they don’t hear from you until two weeks later, you’ve lost them.”

And it’s a common issue inside consultancies; the same leaders responsible for hiring are simultaneously closing deals, managing existing teams and delivering for clients. A week passes quickly and, in that week, a candidate may receive feedback, progress and an offer elsewhere.

Where Microsoft Partners in the US should invest

According to Dylan, the next 12 months will come back to two key areas:

1. Sales: Partners need solution sellers who can win enterprise clients and translate AI, ERP, cloud, security and automation capability into business outcomes.

2. Leadership: They also need leaders who can retain strong technical teams and create the environment A-players want to join.

As Dylan puts it:

“A-players join A-players. Having the right leaders is one of the biggest game changers and differentiators.”

For Microsoft Partners in North America, two things are true: AI is changing the commercial model, and talent is still the lever that determines whether the strategy works.

The partners that come out on top are the ones who can define their differentiator, prove their value, hire commercially aware specialists, and move quickly when the right people enter the market.

Looking to hire Microsoft talent or benchmark your current strategy? Contact Dylan Cohen and Talent’s Microsoft & Cloud Solutions team to discuss the market, your hiring priorities, and the specialist talent available across the US Microsoft ecosystem.