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среда, 31 декабря 2025 г.

Top Business Trends in 2025 and in 2026

 


2025

In 2025, the business landscape was defined by the transition of Artificial Intelligence from experimental pilots to core operational infrastructure, alongside a mandatory focus on sustainability and human-centric leadership. 

1. The Rise of "Agentic AI" and Hyper-Automation

Beyond simple chatbots, 2025 marks the shift to Agentic AI—autonomous systems capable of making decisions and executing complex workflows with minimal human oversight. 

  • Operational Impact: Companies are using AI to automate 30%–50% of routine tasks in finance, marketing, and customer service.
  • Hyper-Personalization: Businesses leverage real-time behavioral data to tailor every customer interaction, a strategy that is now driving 40% faster revenue growth for early adopters. 

2. Mandatory Sustainability and the Circular Economy

Sustainability has moved from a "nice-to-have" marketing asset to a core business requirement due to new regulations like the EU's Corporate Sustainability Reporting Directive (CSRD). 

  • Circular Models: Leading brands are adopting "product-as-a-service" and buy-back programs (e.g., IKEA) to minimize waste.
  • Green Finance: Global ESG assets are projected to surpass $50 trillion in 2025, reshaping how capital is allocated to businesses. 

3. Human-Centric Leadership and "Re-humanization"

As AI handles more technical tasks, the value of unique human skills is rising. There is a strong counter-trend toward re-humanizing marketing and sales to differentiate from generic AI-generated content. 

  • Emotional Intelligence: Managers are shifting their focus from results-only oversight to coaching, mentorship, and fostering inclusion.
  • Workplace Well-being: High-performing companies are integrating holistic mental health programs as a competitive advantage to attract and retain top talent. 

4. Resilience Amidst Global Volatility

With global GDP growth capped at 3.3% and ongoing geopolitical tensions, operational resilience has become a baseline for performance. 

  • Supply Chain Diversification: Businesses are moving away from single-source suppliers and adopting "self-healing" supply chains that use AI to reroute logistics in real-time.
  • Digital Trust: Cybersecurity is now treated as a critical risk-control layer rather than just an IT function, with 72% of organizations adopting "Zero-Trust" security architectures. 

5. The Permanent Hybrid Work Paradigm 

Hybrid work is no longer an interim measure but a long-term strategic advantage for 2025. 

  • Outcome-Centric Models: Companies are moving away from tracking hours worked to tracking outcomes, supported by AI-powered productivity analytics.
  • Upskilling Imperative: To bridge the "skills gap" caused by rapid tech changes, 56% of companies have integrated dedicated upskilling programs into their daily operations. 


2026

In 2026, the global business landscape will be defined by the transition of Artificial Intelligence from an experimental tool to a core "silicon workforce," coupled with a "re-humanization" of leadership and a move toward structural operational resilience in a fragmented geopolitical environment. 

1. The Era of Agentic AI and Autonomous Operations

The primary shift in 2026 is from Generative AI (content creation) to Agentic AI (task execution). 

  • The Silicon Workforce: AI "agents" will move beyond simple assistance to autonomously managing end-to-end business processes, such as reconciling complex financial transactions, onboarding employees, or managing multi-stage supply chain logistics.
  • Agentic Platforms: Organizations are shifting from individual AI tools to integrated agentic platforms that function as a new layer of operational infrastructure, potentially reducing the need for traditional software licenses.
  • Vibe Coding and Innovation: "Vibe coding"—using natural language to build software—is expected to go mainstream, allowing non-technical employees to develop custom applications rapidly. 

2. The "Re-humanization" of Work and Skills

As technical tasks are automated, unique human capabilities are gaining a "digital premium" in the labor market. 

  • Power Skills over Soft Skills: Leadership is pivoting toward "Power Skills"—emotional intelligence, conflict resolution, and the ability to manage "augmented teams" where humans and machines work side-by-side.
  • Skills-First Hiring: 2026 is predicted to be the year that skills-based hiring definitively overtakes degree-based recruitment for many roles.
  • The AI Generalist: A new class of workers—AI Generalists—is emerging. These are professionals who understand broad business functions well enough to orchestrate and oversee the AI agents performing specialized tasks. 

3. Structural Resilience and Supply Chain "Geopatriation"

Businesses are moving away from global efficiency-only models toward models built for survival in a volatile geopolitical climate. 

  • Near-shoring and Localization: "Globalization 2.0" focuses on supply security over cost, leading to increased near-shoring and the creation of localized "self-healing" supply chains.
  • Geopatriation: Organizations are increasingly moving data and digital workloads to sovereign or regional cloud providers to mitigate the risk of geopolitical lockdowns. 

4. Sustainability as a Strategic Asset

Sustainability is shifting from a marketing "add-on" to a mandatory driver of business growth. 

  • The Circular Economy: Circular business models—focused on product longevity, recycling, and "as-a-service" options—are becoming baseline requirements to meet strict 2026 regulatory standards like the EU's CSRD.
  • AI for Green Returns: AI is being deployed specifically to find "green alpha," such as identifying customers willing to pay premiums for sustainable products or optimizing transport routes to lower both emissions and fuel costs. 

5. Cybersecurity as Boardroom Accountability

Cybersecurity is no longer just an IT function; by 2026, it is a core survival strategy with direct executive liability. 

  • Boardroom Responsibility: Executive compensation and performance contracts are increasingly being tied to measurable cybersecurity outcomes.
  • The "Ambient" Defense: Companies are moving toward "Zero-Trust" architectures where security is ambient and built-in, using AI security agents to proactively hunt and neutralize threats at machine speed. 

суббота, 27 декабря 2025 г.

25 Insights of 2025

 

Introduction

The year has been a whirlwind of both uncertainties and optimism. So where do we go from here? From data-backed research by leading business institutions around the globe, here are 25 insights from the year 2025. Stay informed with these trend developments in business strategies, macroenvironment shifts, consumer behaviors, technological advancements, product evolution, and talent landscape, and reference them to support and enhance your future decisions.


Business Strategies



2025 highlights a clear tension between technological ambition and realized value. Organizations continue directing meaningful portions of digital transformation budgets toward AI, yet much of the expected impact remains unreached. This gap is pushing leaders to tighten ROI discipline, monitor performance more systematically, and clarify where value is truly created.


Data monetization is rising quickly – expanding business models and accelerating the pressure to prove returns. At the same time, executives prioritize innovation while investors emphasize financial resilience, widening the need for clearer value narratives and balanced capital decisions.



Amid this, product organizations that anchor choices in customer outcomes – rather than delivery volume – consistently outperform. With Gen AI creating multiple possible futures, resilient strategies now rely on pressure-testing assumptions and ensuring value-centered decision-making across the enterprise.

Macroenvironment Shifts



Macroenvironment shifts reveal a landscape shaped by fast-moving technology, geopolitical realignment, and evolving societal expectations. Tech continues to act as the strongest tailwind, accelerating AI adoption, digitization, and data-led growth. At the same time, rising regulatory complexity, trust erosion, and workforce transitions create meaningful headwinds that require organizations to redesign operating models.


Geopolitical changes are redrawing trade corridors, exposing sectors to uneven upside depending on scenario outcomes – whether baseline, diversification, or fragmentation. These dynamics are already reshaping global manufacturing strategies, with regions evaluated through new tradeoffs in cost, speed, stability, and labor availability.

In response, organizations are turning to emergent structures – platform models, enterprise agility, and decentralized networks – to stay resilient, align operations to uncertainty, and position themselves for long-term competitiveness.


Consumer Behaviors



Consumer behavior is shaped by a widening tension between rising expectations and uneven brand execution. Customers want AI-powered personalization, seamless experiences, and greater transparency, yet satisfaction lags significantly – especially in data handling and automated support. This trust gap elevates privacy assurances as a core component of brand value.


AI-led interactions, however, demonstrate clear performance upside, driving lower bounce rates, higher engagement, and stronger revenue per visit. As digital journeys improve, measurement also evolves. New metrics such as the "attention quotient" and "commercial quotient" help brands understand how fragmented focus and platform sophistication translate into monetization potential.


Underlying these metrics is a shift toward attention-based segmentation. Seven distinct consumer groups now display markedly different spending behaviors, media habits, and responsiveness to advertising. Notably, top media consumers do not always equate to top spenders, underscoring the need for precise targeting and content strategies that match true commercial value rather than raw consumption volume.


Technological Advancements



Rapid advances in AI infrastructure, intelligent systems, and cybersecurity are creating both opportunity and operational pressure for organizations. A three-pronged capability stack is emerging: Architect technologies lay the foundation with confidential computing and AI-native platforms; Synthesist capabilities such as multi-agent systems and domain-specific models elevate intelligence; and Vanguard capabilities address future risks through digital provenance, geopatriation, and advanced cyber defense.



These advancements also reshape IT economics. While Gen AI may initially increase expenses, it can address up to half of IT costs and deliver meaningful efficiency gains when deployed thoughtfully. As spending reallocates toward AI-powered platforms, IT evolves into a strategic multiplier that reduces technical debt, strengthens shared capabilities, and accelerates business value.


Yet a critical caution underscores these developments: ROI projections often overlook technical debt, which can erode or even reverse expected benefits. Organizations that account for this early – and invest in modernization alongside innovation – can protect returns and position their technology strategy for sustainable impact.


Product Evolution



Products are driven by a shift from generic "smartness" to more intentional value delivery. Three buyer personas – Purpose Seekers, Comfort Seekers, and Efficiency Seekers – now shape product expectations, each prioritizing different advantages such as time savings, sustainability, or healthier living. Understanding these segments has become essential for creating differentiated, resonant value propositions.


Trust also plays a defining role. Consumers reward companies that pair innovation with strong data responsibility, with "Trusted Trailblazers" earning higher satisfaction and greater household spending than providers perceived as either overly aggressive or too cautious.


Despite rapid innovation cycles, many users feel disconnected from new features. While personalization and improvements are appreciated, a majority express that updates arrive too quickly or fail to address real problems. This tension highlights the growing need for product strategies that balance innovation velocity with meaningful, user-centered progress.


Talent Landscape



AI adoption is accelerating faster than workforce readiness, widening gaps between required and available skills. Shortages in areas like data science, machine learning, and algorithm development threaten momentum unless organizations scale focused skilling, reskilling, and mobility programs. Workers value AI's speed benefits yet still prefer human quality for judgment-driven tasks, reinforcing the need for hybrid workflows that balance efficiency with expertise.



Strong managers amplify the impact of scarce technical talent. High performers deliver outsized productivity gains and improve alignment across roles, while practices such as better role–skill matching, lateral paths, and rotational assignments increase retention of AI-native employees. Organizations that prioritize capability development and people leadership will be better positioned to sustain progress in an AI-driven labor market.





https://tinyurl.com/mw22cn6a

10 AI questions every executive should be asking

 



Vincent Pirenne

AI is no longer just a tech initiative.

It’s becoming the lens through which strategy, operations, and growth are viewed. But while most companies are experimenting with AI, very few are doing it with the right strategic intent. And that often comes down to one thing – leaders aren’t asking the right questions.

The goal isn’t to chase hype or stack up pilots. The goal is to drive impact. And that starts by asking better questions.

“The goal isn’t to chase hype or stack up pilots. The goal is to drive impact. And that starts by asking better questions.”

  Vincent Pirenne

 

Here are 10 questions we believe every executive team should be tackling right now.

These won’t solve everything, but they will help spark the conversations that move you forward.

 

1.   Are we building the AI operating model we’ll need in two years?

AI is moving fast, but your operating model probably isn’t. Many companies still manage AI like IT projects. But the next phase requires something else entirely.

If you’re still using legacy structures to drive next-gen transformation, it’s time to redesign the system.

 

2.   How do we prioritize AI use cases that scale across the organization?

Scaling AI isn’t about launching more pilots. It’s about identifying the few initiatives with real impact potential and doubling down.

Without clear priorities, AI becomes an expensive distraction. AI has the power to transform, but only when applied with laser focus to what matters most.

Johnson & Johnson recently narrowed down from 900+ AI ideas to a select few that were moving the needle.

“Now we’ve moved from the thousand flowers to a prioritized focus.”

J&J’s CIO for WSJ, 2025

 

3.   Are we building differentiators, or just catching up?

Many companies use AI to reduce costs. Fewer use it to create something new.

The real strategic opportunity with AI lies in differentiation — rethinking how you deliver value, not just doing things faster or cheaper.

“If your AI roadmap is only about finding efficiency, you’re not playing to win, you’re just trying not to fall behind.”

Vincent Pirenne



We argue that AI adoption is unfolding in three waves:

Wave 1: Time, cost, efficiency

Wave 2: Quality, better output

Wave 3: New systems, transformation

 

4.   What data foundation do we need to unlock AI’s potential?

AI success doesn’t start with a model — it starts with data. Clean, connected, labeled, and accessible. If your data is siloed, incomplete, or buried in legacy systems, even the best models won’t help.

“Most companies overestimate their AI readiness and underestimate their data problems.”

Vincent Pirenne

 

5.   How do we prevent siloed AI experiments?

It’s easy to let teams launch experiments in isolation. But without shared learning, central oversight, and a clear plan for scaling, these initiatives rarely deliver value. Create a system to track, review, and sunset pilots that don’t scale.

 

6.   What’s our plan for developing internal AI talent?

If your AI expertise lives mostly in vendor contracts, it’s worth asking whether you’re building enough capability internally. External partners can play a key role in accelerating progress, but the long-term impact also depends on internal teams having the skills and context to drive initiatives forward. Offer learning paths, build hybrid roles, and enable people to rotate into AI squads.

 

7.   What are we doing to increase AI fluency across leadership?

AI is no longer just for data teams. It’s a board-level topic. As we pointed out in our latest Fast Company article, companies led by AI-literate teams are more likely to spot value and act on it. Start by building shared language and base knowledge across your leadership bench.

“Companies led by AI-literate teams are more likely to identify where AI can create value — and act on it.”

Fast Company, 2025

 

8.   Is our vision strong enough to weather future AI shifts?

The tools will change. The hype cycles will come and go. What matters is whether your vision is durable. Are you building toward a future-proof business model that gets better with AI? Or are you stuck chasing trends?

 

9.   Who in our leadership team is accountable for AI?

This might be the most important question. If no one owns it, it won’t happen. AI doesn’t belong in a silo; it needs cross-functional leadership, clear KPIs, and integration into core strategy.

 

10.                Do we understand how agents will reshape our workforce?

With agents becoming more capable, certain tasks may no longer need direct human coordination. That’s not just automation, that’s a shift in your workforce. Have you through about what happens when agents start owning outcomes, not just tasks? Which parts of your value chain change? Having a clear point of view now will help you lead the shift rather than react to it.


These questions aren’t meant to be overwhelming. They’re meant to start better conversations that move you from exploration to execution, from scattered pilots to real transformation.

And in a world that’s becoming more AI-native by the day, these conversations might be your strongest competitive edge.

 


AI-Native Operating Model

Aligning talent, workflows, and governance to scale AI across the enterprise.

 

Challenges we tackle

Challenges that are top of mind for leaders today

 


Our solution

Defining and enabling AI at scale with an AI-native operating model

We partner with leadership teams to define the operating model that enables AI at scale—aligning strategy, talent, and governance.

Defining the operating model that will enable AI at scale. Aligning strategy, talent and governance.

 


Key elements of AI-Native Operating Model Design

Establishing an AI Center of Excellence

Aligning AI strategy with business functions

Defining AI governance and ethical guidelines

Creating AI-driven decision-making workflows

Implementing MLOps for automated AI lifecycle management

Defining AI-specific roles & upskilling strategies


https://tinyurl.com/4836n4jz

четверг, 25 декабря 2025 г.

Why Agentic Campaigns Are Not The Future of Marketing

 


My last post, presenting ChatGPT’s description of AI-based marketing, generated thought-provoking comments on LinkedIn. Key insights included:   

  • Organization issues as roadblocks to successful deployment (Chris Adelman and Lee Hammond)
  • Buyer agents as increasing the importance of trusted information sources (Jon Miller, Dan Cote)
  • Some vendors are already delivering end-to-end agentic campaigns (Matthew Niederberger, Duarte Garrido)

Thanks to everyone who contributed.

What I didn’t see was push-back against the vision that ChatGPT presented. Maybe people were being polite or maybe they fear that ChatGPT could hold a grudge. But my own initial take was triggered by words including “narrative” and “journey”. These led me to think that ChatGPT was still describing today's standard of multi-step marketing campaigns applied to customer segments. On closer examination, the story is a bit more complicated: the various components included in ChatGPT’s list are not necessarily a consistent whole, but rather a collection of predictions that ChatGPT has gathered by scraping of industry discussions. Oddly enough, ChatGPT's summary provides a clearer statement of an alternative approach:

AI-native marketing is:

  • Continuous (not campaign-based)
  • Conversational (not broadcast)
  • Collaborative (AI agents on both sides)
  • Generative (creating narratives, products, and experiences dynamically)
  • Ethically-audited and explainable (trust is as important as persuasion)

Of course, that ChatGPT says something is no guarantee that it’s correct. So, although I intuitively agree with the prediction, I still need to convince myself (and, hopefully, others) that it’s right. One test is to compare the prediction with cutting-edge industry developments. Here’s a list of trends I’ve been tracking:

  • Agentic search: AI-generated summaries replace traditional, link-based search results
  • Ads in chat replies: Chat responses include paid advertising, identified with varying degrees of transparency
  • Social commerce (a.k.a."live shopping"): Make purchases of items featured in social media discussions without leaving the social media platform
  • Commerce via agentic browsers: Advertising and shopping links presented by browsers based on what they see the user doing (a privacy nightmare but we'll ignore that for now)
  • Interactive ads: Advertisements that link to a conversational interface rather than conventional landing pages or websites
  • Buyer agents: AI agents that do product research and, perhaps, make purchases on behalf of users without users visiting seller websites
  • Conversational websites: websites that present chat-style interactions or hyper-personalized contents in dialog with the user

All but the last of these occur at the discovery stage of the buyer cycle. That's encouraging because marketers have been very concerned about they reach new customers when traditional search no longer drives traffic to their websites and consumers increasingly ignore traditional email and display messages. But what's really important is that these items all change the role of marketing from creating campaigns that broadcast messages to consumers, to executing continuous conversations with consumers. This is indeed what ChatGPT described. It’s not something that is accomplished by using AI generate conventional broadcast campaigns.

In fact, I’d argue that the current broadcast campaign model developed precisely because the then-existing technology couldn’t handle a conversational approach. Branching campaigns with personalized content nodes were the best that could be done when marketers were limited to deterministic, manually-crafted workflows. If you recall the once-popular cliché of marketing automation as a way to replicate the personal relationship of customers to their “corner grocer,” you quickly realize the real-life grocer had conversations, not campaigns.

Think a bit deeper and you see that the reason the grocer was able to have conversations was data. He knew the history of each customer and was able to discern their current situation by seeing and talking to them. Multi-step marketing funnels exist because marketers don’t have that kind of information available in real time. Instead, they have to make a guess at where each customer might be in the buying cycle. The funnel is a framework for making those guesses. Provide real information and it’s no longer needed.

I think this is important. Marketers, vendors and analysts have focused largely on how AI can reduce the cost and time of generating marketing campaigns. This allows companies to create near-infinite amounts of personalized content. But unless that content is driven by near-complete, real-time data, there’s a severe limit to how relevant it can be. Data, not content creation, is what ultimately limits the effectiveness of AI marketing.

This may strike you as bad news. Data has always been a problem for marketers, and real-time data is a particular challenge. Agentic campaign creation won’t solve the data problem, although perhaps it will highlight data's role as a bottleneck. The good news is that other AI and agent applications can in fact improve data access, something that data management vendors are already pursuing. 

It’s true that better data management isn’t as exciting, or directly tied to revenue, as better customer engagement tools. This is probably why most vendors focus on adding engagement features. But as autonomous engagement become increasingly common, the need for better data will become more obvious. Vendors who use AI to deliver better data (and convince the market that they are leaders in doing it) will have an increasing advantage in growing their business.

I’ll give the final word to Abhi Yadav of iCustomer, one of those very smart people who see further, sooner than most of us. He recently shared a substack post that captures my opinion quite eloquently:

We used to drag customers to our properties (site, app, landing pages). Now we take capabilities to where customers already live: agent/app ecosystems, workflow-native GPTs, and search/ad surfaces that embed decisions at the edge. ... If your data stays scattered and your channels siloed while this shift accelerates, AI won’t transform your business it’ll just perform visual eye candy. AI should drive a paradigm shift in your business, not a party trick.


https://tinyurl.com/h7a7tndd

воскресенье, 21 декабря 2025 г.

The AI-Augmented Decision Making Cycle

 


Good decisions don’t happen by luck.

They’re built.
Piece by piece.
With intention.
Under pressure.
And now… with AI at your side.

We’re no longer making decisions in isolation.
AI is influencing what we notice, how we think,
and how quickly we move from stuck → solved.

Here’s the truth:
AI won’t replace your judgment.
But it will make it obvious whether your judgment is strong or shaky.

That’s why I put this together:
A proven 6-step decision system built for the AI era.
It blends strategic clarity with AI-driven speed so you make smarter decisions, not just faster ones.

Here’s the breakdown:

1️⃣ Spot the Signal
• What’s really going on beneath the noise?
• Where’s the friction you can’t articulate yet?

When: You feel something’s off
Next: Use ChatGPT to surface hidden patterns
Win: One sharp insight worth solving

2️⃣ Shape the Question
• What’s the true problem here?
• Can you turn uncertainty into clarity?

When: You’re unsure what to ask
Next: Use Claude to refine the core question
Result: A question that unlocks new thinking

3️⃣ Explore Options
• Which paths actually make strategic sense?
• What blind spots need uncovering?

When: You’re ready to solve but need directions
Next: Use GenAI to simulate scenarios
Result: A shortlist of high-leverage choices

4️⃣ Commit with Context
• What’s the best call and why?
• Can others understand your reasoning?

When: It’s time to choose and align
Next: Use AI to build clear rationale
Result: A confident decision everyone can follow

5️⃣ Learn in Real Time
• What are early signals telling you?
• Where do you need to adjust?

When: First results start coming in
Next: Use AI to extract insights immediately
Result: Rapid learning that shapes the next move

6️⃣ Scale What Works
• How do you turn success into a system?
• Can this work without your constant involvement?

When: The solution proves its value
Next: Use AI to build repeatable processes
Result: A system that scales your impact

The best decisions don’t just fix today.
They strengthen your decision-making muscles for tomorrow.

In the AI era, clarity beats urgency.
And the real winners will be the ones who build decision systems that evolve alongside them.


Credits to @Gabriel Millien, make sure to follow!


воскресенье, 30 ноября 2025 г.

HubSpot’s 2025 State of Sales Report: What 1,000+ sales pros say about AI, buyer behavior, and growth

 


Written by: Justina Thompson

Discover the goals, challenges, and trends in B2B and B2C sales, and learn how sales professionals are reimagining the customer relationship.

Every sales pro I talk to mentions the same challenges: inflation, rising interest rates, and pricing instability are making it harder to get deals across the finish line. Budgets are tighter, and buyers are more cautious about where they put their money.

While that sounds daunting, there are still serious buyers out there, and they’re more educated and ready to buy than ever before.

To see exactly how these shifts are playing out, we surveyed 1,000 global sales pros for HubSpot’s 2025 State of Sales Report. And, I didn’t just look at the numbers. I also caught up with several sales experts to hear how these trends are showing up in their day-to-day work.

The results are clear: While the economy is putting pressure on sales teams, AI and new strategies are helping them stay resilient — and in many cases, even thrive.

Sales Benchmarks

Before we dig into the key themes that are leading, transforming, and impacting sales metrics, here are some sales benchmarks to help you get a sense of how your business stacks up in 2025:

  • Sales goals: 59.9% of sales teams are on track to meet or surpass their revenue targets.
  • Win rates: 91% report win rates are stable or improving.
  • Deal sizes: 93% say average deal sizes are holding steady or growing.
  • Lead quality: 68% report that lead quality has improved year over year.
  • Team growth: Nearly half of leaders (45%) expect their teams to expand this year, while just 3% expect them to shrink.
  • Budgets: Only 9% of respondents say sourcing budget has been difficult; 42% call it “easy” and 49% say it’s neutral.

Together, these numbers show that while macroeconomic uncertainty is still on everyone’s mind, sales teams are holding steady and in many cases improving — across the metrics that matter most.

Top State of Sales Findings and Trends

Trend 1: Sales success is defined by revenue outcomes (not ops efficiency).

Unsurprisingly, sales pros are laser-focused on outcomes. In fact, 42% say annual recurring revenue (ARR) is the most important success metric.

Rounding out the top success benchmarks:

  • Average profit margin — 30%
  • Conversion rate — 29%
  • Win rate — 28%
  • Average revenue per user — 27%
  • Quota attainment — 26%
  • Sales cycle length — 22%
  • Average deal size — 20%

What’s most striking is what doesn’t make the list.

Fewer than 5% of respondents said they prioritize pipeline coverage, lead scoring, or sales linearity. That marks a clear shift away from measuring activity for activity’s sake and toward bottom-line impact.

Dylan Wickliffe, VP of Growth at media junction, agrees.

“Leads have gotten better, thanks to stronger partner channels and a clearer ICP [ideal customer profile]. I’ve gone from chasing every possible deal to focusing on fewer, higher-value opportunities, putting more energy into strategic conversations instead of volume-based outreach,” Wickliffe says.

This trend signals a maturity in how sales organizations define success. Outcomes are a bigger focus than activity.

Trend 2: Value is the key to sales success.

Sales today is all about proving value. The top two deal-killers come down to perception of value: no product fit (37%) and poor value for money (35%).

Yet, it’s clear sales teams have managed to adapt to these maturing buyer expectations, with 60% reporting they are meeting or exceeding their sales goals.

Some of those shifts include:

  • Offering expanded self-serve tools like free trials, pricing pages, and customer stories (40%) to meet customer expectations.
  • Focusing on solution-based selling (35%).
  • Waiting to attempt upsells until right after delivering value to ensure clients are receptive (37%).

And if you’re wondering about the other top upsell drivers, understanding customer goals (42%) and providing consistent value (39%) round out the top three.


Our experts concur that value is mission-critical in 2025. M. Shannon Hernandez, founder and CEO of Joyful Business Revolution, says, “Referrals and relationships are gold. In a crowded market, nothing cuts through like delivering value that gets people talking.”

Hernandez shares that messaging is an important part of showing that value, noting that when it’s spot on, it results in a leaner pipeline, higher deal quality, and sales conversations that move faster because prospects already see themselves in the offer.”

And while value remains the ultimate differentiator, sales reps are also leaning on new tools — especially AI — to deliver it more consistently.

Trend 3: AI is a mainstay of the sales rep’s tool belt.

So, what else feels different this year? AI isn’t just a buzzword anymore. Last year, everyone was asking if it would change sales. Now, the conversation is all about how we use it to work smarter, move faster, and build stronger connections with buyers.

AI isn’t hype. It’s here, and it’s producing results. Where last year the conversation was about how AI was gaining traction, this year, it’s clear that people are using it to focus their time more effectively.

In fact, only 8% of the sales reps we surveyed reported not using AI at all. Here’s what else they say:

  • 37% of reps use AI tools, more than any other sales tool category.
  • AI was rated the highest ROI tool (31%).
  • 84% say AI saves time and optimizes processes.
  • 83% say it personalizes prospect interactions.
  • 82% say it surfaces better insights from data.

But how people are using it is fascinating. Everyone I spoke with uses it slightly differently.

For example, Hernandez reports using AI to cut admin: “Instead of spending 2 hours consolidating notes into a proposal, AI now captures the key details live during my calls, which has cut my post-call time by 80%.”

On the other hand, Wickliffe calls AI his “silent sales partner,” noting that his AI tools handle research, prep, scoping, and follow-up so he can focus almost entirely on closing.

Trend 4: AI helps buyers research, but humans still close deals.

With AI tools like ChatGPT, buyers are better informed than ever. 74% of sales pros believe AI is making it easier for buyers to research products.

As a result, the seller’s role is evolving from pitching to confidence building:

  • 36% say their primary job is helping buyers feel confident in decisions.
  • 33% say it’s navigating internal buy-in.

Matt Hall, founder of Common People, sees this playing out with buyers spending more time to ensure they make the right decision.

“The buying cycle is a bit slower … buyers are spending more time exploring options,” Hall says.

Kali Tucker, owner of The Waterworks, sees two primary factors in B2C sales trends this year.

“Everyone wants that good deal, but they also want a real human connection,” she says.

She has also noticed a change in how research affects the sale: “People are making buying decisions in advance of physically coming into the showroom. Our role really becomes about building that relationship and connecting the dots to a deal.”

Trend 5: Social media has permeated the entire sales journey.

Social selling has become the channel of choice. While awareness is important, response, lead quality, and revenue are factors that play a significant role in its success for salespeople.

  • 42% say social media delivers the highest cold outreach response rate (vs. 26% via email and 23% on the phone).
  • 35% say social media is their top source of high-quality leads (up slightly from last year).
  • 45% rate social media “very effective” at driving sales. That’s higher than in-person meetings (44%) or video calls (35%).

Some of the experts I spoke with agree that social media is a valuable sales channel.

“One LinkedIn post about a client’s messaging shift led to a DM, then a $33K engagement. That’s the power of thought leader positioning and a cohesive messaging strategy that shows prospects the results they want — before they ever reach out,” shares Hernandez.

Wickliffe adds, “Posting behind-the-scenes insights on LinkedIn has turned into an unexpected lead magnet, sparking conversations that move directly into the pipeline. People like people. Me posting about what I know about and what I’m passionate about drives business and also drives referrals.”

But not everyone agreed.

For one, Tucker had a different take. “We’ve found lead quality declining from paid social, but our greatest success has come from collaborations with other local businesses with ancillary products and services to our own. The resulting real, unfiltered behind-the-scenes content helps people get to know us as people, creates better visibility—and in turn, creates more personal connections before people ever connect with our sales teams.”

Hall agreed with Tucker. For her, social selling hasn’t been a big priority this year.

“Without human connection, the value of social platforms seems to be limited to entertainment or dopamine dependency — values that seem unsustainable in the long term. Those who can maintain real human connection right now seem to be doing okay,” Tucker says.

What does all of this mean?

If you can use social media to help your customers feel connected with your brand or sales reps, you’ll have a leg up on those who focus on it just for awareness.

Trend 6: Macroeconomic anxiety is real — but so is adaptability.

It’s impossible to have a conversation about any kind of sales without addressing the economic elephant in the room. Most of the biggest sales concerns relate directly to perceived economic instability:

  • Recession concerns — 74%
  • Inflation — 75%
  • Interest rates — 70%
  • Supply chain issues — 69%
  • Tariffs/trade — 69%

What’s striking is how high these numbers remain across the board, a reminder that economic anxiety is both global and persistent.

Yet the story doesn’t end there. Resilience is the bigger story:

  • 60% of sales pros report they’re on track to meet or exceed sales goals.
  • 67% say they’re very or extremely adaptable.
  • 76% say they understand how macro trends affect their industry.
  • 79% say their org communicates those impacts effectively.

This also illustrates the importance of value (Trend #2) and how companies that deliver on value are well-positioned to thrive in the future.

And, that brings me directly to the next trend.

Trend 7: Despite turbulence, momentum & budgets remain strong.

Here’s the surprising twist: even with those economic fears, core sales metrics are holding steady — and in many cases, improving.

Key success benchmarks are holding steady or improving:

  • 91% say win rates and close rates stayed flat or improved.
  • 93% say average deal size grew or stayed consistent.
  • 68% say lead quality improved.

When it comes to team investment, the picture is equally encouraging:

  • 45% of leaders expect the number of reps per manager to grow this year.
  • 52% expect team size to hold steady.
  • Only 3% anticipate team size shrinking.

As for budgets, just 9% say sourcing budget is harder this year. The majority say budget sourcing is either easy (42%) or neither easy nor hard (49%).

Other Trends to Watch

While the seven core trends define the big shifts in sales for 2025, the data also revealed several smaller but equally telling patterns.

These don’t warrant full sections on their own, but together they paint a sharper picture of how sales teams are adapting, thriving, and preparing for the future.

1. Teams are redefining sales culture as a differentiator.

Sales success isn’t just about metrics or budgets. The 2025 data shows how culture plays a huge role in longevity, morale, and the bottom line.

Top motivators include:

  • Trust in leadership — 30%
  • Healthy competition — 30%
  • Career development — 28%

On the flip side, toxic competition (28%) and lack of collaboration (29%) can sink performance. Leaders who double down on culture will have a clear edge.

2. Social may have a leg up on email for prospecting.

Email, live events, and outreach by phone aren’t going anywhere. However, social outreach now outranks email for response rates (42% vs. 26%), showing a clear shift in where buyers engage.

Sales teams that still rely primarily on cold email may be missing the channels where buyers are most active

3. Promotional experiments are here.

Promotions aren’t limited to discounts anymore. Companies are experimenting with activities like social media challenges (28%), contests (24%), and even giveaways to generate leads and drive engagement.

Yes, everyone loves a deal, but as margins get tighter, there are new ways to create a buzz.

4. Free tools and trials drive strong conversion rates.

Buyers want to evaluate value independently before they engage with reps, which means that free options continue to prove their worth in pipeline creation.

Nearly 38% of sales leaders say free tools convert best, outpacing free widgets (27%) and free content (25%). Buyers want a taste of real value, not just gated PDFs.

5. Enablement content is getting smarter.

Generic collateral and content are losing ground. With AI making it easier to get answers, the kinds of content that move deals forward most effectively include market research (35%) and product demos (32%).

6. Emotional intelligence sets good salespeople apart.

While tools and tactics evolve, the human element is still decisive. Reps report that understanding customer goals (42%), providing consistent value (39%), and building trust (30%) are the top drivers of repeat sales and upsells — all core aspects of emotional intelligence.

This reinforces what many leaders already know: Empathy, active listening, and genuine relationship-building separate good salespeople from great ones.

“Empathy is the number one thing I look for in my sales team,” says Tucker. “You need to listen to the client, and understand what they want, and what they’re not saying. When you can, you can tie the offer directly to their motivators, and that is the win right there.”

Hernandez echoes this, “The sales edge will go to leaders who build trust systems, or processes that keep founders and their sales teams in a prospect’s world for months or years without going cold.”

8. These traits will set high-performing salespeople apart.

We dug deeper into research on high- and low-performing salespeople to identify the traits and tactics that set them apart. While specific data points might change as AI and efficiency processes mature, these soft skills aren’t going anywhere.

Most notably, here’s what high-performing salespeople are doing this year.

Building Trust and Rapport

Of respondents, 40% said that establishing trust and rapport is the single most effective upsell/cross-sell strategy. This suggests that relationship-building and emotional intelligence remain critical differentiators, even in a year dominated by AI and automation.

Providing Consistent Value for the Long-Term

Close behind, 39% pointed to providing consistent value. That means top sellers aren’t just “checking in.” They’re proactively offering insights, tools, and recommendations that make customers’ lives easier.

Clear Communication, Sales Goals, and Team Alignment

Of sales leaders, 27% cited improving alignment between sales reps and sales leadership as a top goal. To translate this: high performers stand out when they communicate well upward and across teams, ensuring that strategy doesn’t get lost in execution.

Prioritizing a Coaching and Mentorship Mindset

Of sales leaders, 30% list supporting reps as a primary goal, which is notable given the importance of both receiving and giving feedback. High-performing individuals lean into coaching, mentorship, and peer-to-peer learning to accelerate success.

Sales in 2025 is about finding your balance.

We can safely say that AI adoption is no longer up for debate. It’s the starting line. The real differentiator now is how sales teams use AI to work smarter, reclaim time, and sharpen decisions.

Still, efficiency alone won’t define the next era of sales. Emotional intelligence, trust, collaboration, and culture matter just as much, if not more. Buyers may come to the table more informed, but they still rely on salespeople to give them confidence, clarity, and connection.

So, what’s the real story this year? It’s that even in the face of global economic pressures, sales pros aren’t pulling back. They’re adapting, hitting targets, and doubling down on growth.


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