The State of Generative AI in 2023 & How It‘s Transforming Marketing Forever

The robots aren‘t just coming—they‘ve arrived in full force and are revolutionizing how we attract, engage and delight audiences at scale.

A mere year ago, generative AI was still an emerging technology on the periphery of most marketing organizations. Flash forward to mid-2023, and AI has become a mainstream essential revolutionizing how marketers ideate, create, personalize, and promote content experiences.

But beyond the hype and buzzwords, how exactly is generative AI delivering tangible results and ROI today? What are the key use cases, tools, and trends you need to master now to stay ahead of the curve?

To bring you the freshest data and insights, the HubSpot Blog surveyed 1,000+ global marketers on their AI adoption, preferences, results, and predictions. We‘ve also sourced exclusive insights from marketing AI pioneers to help you benchmark your maturity and blaze an actionable trail forward.

The Meteoric Rise of AI-Powered Marketing

Adoption of generative AI tools has skyrocketed across every facet of marketing:

• 82% of marketers are now using AI in their roles (vs. just 21% a year ago)
• 70% of marketing teams have a dedicated budget for AI tools and talent (vs. 39% in 2022)
• Marketers rate AI as the top tech trend transforming their jobs in the next 5 years (ahead of Web3, VR/AR, and IoT)

What‘s driving this AI arms race? In short, marketers are under relentless pressure to create, customise, and distribute content at unprecedented velocity and volume. Meanwhile, customer expectations for instant, hyper-relevant, omnichannel experiences have never been higher.

Enter generative AI as the rocket fuel to help marketers ideate and automate high-quality content at breakneck speeds, personalise at a person-level, and engage in 24/7 contextual conversations—all while (theoretically) preserving a human touch.

Generative AI‘s Surging Impact & Rewards

So how is this playing out in the marketing trenches? Efficiency and performance breakthroughs abound:

• On average, AI tools are saving marketers 8 hours per week on research, writing, asset creation, and administrative tasks
• 77% of marketing leaders say AI is already making their teams more efficient and agile
• 45% say AI-assisted content performs somewhat or much better than fully human-created content

The top value drivers vary by use case, but a common theme is AI‘s ability to streamline and scale repetitive marketing tasks while surfacing data-driven recommendations to optimise results.

For example, Jasper.ai, an AI content platform, auto-generates blog post drafts, social ads, and product descriptions 10X faster than manual methods. By ingesting keywords, customer personas, and writing samples, Jasper tailors the content to match top-performing attributes.

"Jasper has been a game-changer in enabling our lean startup team to punch way above our weight in content velocity and experimentation," remarks Jessica Perri, Head of Marketing at Punchlist.com. "Yet the magic comes from our talented team refining Jasper‘s raw outputs with our unique insights and brand flair."

That symbiosis between human and machine is proving crucial to stand out. A full 67% of marketers believe that bold creativity and innovative applications of AI will become their biggest competitive differentiator.

AI‘s Hyper-Personalization & Chat Revolution

Perhaps the second biggest boon of generative AI is in intelligently customizing content and conversations for each user. When asked to rank AI‘s top benefits, marketers cited:

• Rapidly testing and iterating different variations of content and experiences (61%)
• Deeply understanding customer intents and interests to tailor messages (55%)
• Engaging customers in fast, human-like dialogues to answer questions and recommend next-best actions (49%)

AI-powered chatbots have become the leading embodiment of this mass-personalization paradigm. Brands can now train AI on their knowledge base, website, and interaction history to engage in nuanced conversations at unlimited scale.

As one vivid example, Plumbing Nerds deployed an AI-enhanced chatbot to diagnose problems, explain solutions and provide real-time quotes, resulting in 6X more qualified leads.

Generative AI is also propelling hyper-personalized content across email, ads, web, mobile apps and more. Spotify serves up custom playlists, Sephora recommends bespoke beauty routines, and Netflix surfaces uncannily relevant titles—all thanks to AI‘s ability to crunch behavioral data and adapt in real-time to each user‘s tastes.

The next frontier is leveraging AI to orchestrate omnichannel journeys that guide each customer through dynamic touchpoints and content across their lifecycle. Brands like Bank of America and Starbucks are using predictive AI models to anticipate customer needs, risks, and value to trigger bespoke experiences and interventions.

The AI-SEO Impact & Priority Shifts

As Google, Microsoft, and other search titans rapidly infuse generative AI into each query, SEO teams are grappling with tectonic shifts to the discovery experience.

When asked how AI chatbots like Bard and Bing are changing their SEO approach, 72% of search marketers cited a sharper focus on ranking in the top 1-3 organic spots vs. anywhere on page one. A similar 71% prioritized capturing featured snippets, as those are now frequently the sole result above the fold.

"Generative AI‘s rise necessitates a paradigm shift from just keyword optimization to entity optimization," advises HubSpot‘s Senior Manager of SEO Content, Aja Frost. "Winning the future of search demands publishing in-depth, authoritative, multimedia content that establishes your brand as a trusted entity for core topics. That‘s what will earn the coveted featured snippets and ‘EntityPack‘ slots."

Paradoxically, AI tools like Clearscope, MarketMuse, and HubSpot‘s Content Assistant are becoming invaluable to help SEO teams understand search intent, identify entity associations, and optimize context—all to ultimately craft expert content that outshines the bots.

Conquering Generative AI‘s Obstacles & Anxieties

For all its potential, marketing teams are also confronting generative AI‘s pitfalls and stigmas head on.

Half of survey respondents flagged accuracy and content quality as their top impediments to adopting AI. Brands must be hyper-vigilant in fact-checking content, correcting biases and preventing plagiarism or fake information.

Lack of human nuance and empathy was another key reservation. "AI can approximate human communication, but it still struggles with the authentic, contextual language that builds emotional connections," observes Kipp Bodnar, HubSpot‘s CMO. "The most resonant marketing artfully blends data, storytelling, and customer understanding in ways AI can‘t fully replicate yet."

Concerns about AI transparency and deepfakes are also reaching a fever pitch. A decisive 92% of marketers believe disclosing when and how you use AI will become a nonnegotiable best practice. The World Federation of Advertisers just released its AI for Marketing guidance urging members to clearly distinguish AI-generated content, maintain human oversight, and ensure data protections.

A final lurking threat is over-reliance on AI at the expense of differentiation. "The more derivative your prompts and training data, the more your content will read like a bland robot wrote it," warns Kipp Bodnar. "AI‘s real power is in automating your routine content so you can double down on thought leadership and experiences that only your brand can deliver."

Empowering the AI-Augmented Marketer

To harness AI‘s gifts while sidestepping its hazards, marketing orgs must actively embrace a new class of AI-immersed roles and skills:

• Prompt Engineers who can deftly "interview" language models to elicit desired messaging, visuals, and code while minimizing hallucinations or biases
• AI Content Curators who excel at refining, remixing, and polishing AI outputs into compelling assets that amplify brand identity and expertise
• Conversational Designers who train chatbots to engage in empathetic dialogues that solve user needs and seamlessly hand off to live agents
• AI Ethics Managers who institutionalize frameworks and governance to deploy AI responsibly while advocating for transparency

Rather than fear replacement, astute marketers are augmenting themselves with AI to automate the mundane and enhance the imaginative. They use AI to streamline content production, glean richer customer insights, and optimize journeys—all while elevating their judgment, creativity, and empathy.

"The future isn‘t AI versus marketers, but AI-powered marketers," predicts HubSpot Academy‘s Senior Inbound Professor, Justin Champion. "Those who proactively upskill into prompt artists, bot whisperers, and AI-driven experience orchestrators will thrive."

The Irresistible Business Case for Marketing AI

Lest marketing AI be dismissed as shiny toys, the commercial dividends are undeniable:

• 66% of marketing orgs using AI say it‘s already increasing revenue
• Brands that have deployed AI chatbots report 85-90% improvement in response times and a 30% reduction in customer service costs
• CMOs estimate AI drives 20-50% gains in marketing efficiency across creative production, targeting, testing, and optimization

Staring down economic turbulence, 83% of CMOs say proving ROI is their #1 mandate. Generative AI offers a tantalizing solution to deliver "more for less" by automating content, accelerating campaigns, and maximizing conversion—all while controlling costs.

Early adopters like MasterCard, Intuit, and PepsiCo are touting AI-attributed lifts like 2X conversion rates, 30-50% content savings, and even 15% topline growth. Expect to see more CMOs citing AI as their not-so-secret weapon.

AI on the Horizon: What‘s Next for Marketing

As relentless disruption unfolds, these AI frontiers loom large for marketers:

• Mainstream adoption of AI-generated images, video and interactives to visualize campaigns at scale (already 48% of marketers plan to invest)
• Proliferation of no-code AI tools enabling marketers to train models on brand assets and customer data—no data science PhD required
• Emergence of AI personas as the "face" of brand content and service interactions (a la CharacterAI)
• Rise of multi-modal AI that intelligently blends text, images, speech, and structured data to engage all senses
• Ascent of emotionally intelligent AI that can detect user sentiment, empathize and build rapport
• Convergence of generative AI with Web3 and metaverse tech to spawn immersive, AI-powered virtual experiences and worlds
• Spread of privacy-preserving AI techniques that limit data exposure and grant users more control

For marketers yearning to steer AI‘s trajectory, IBM‘s Global CMO, Carla Piñeyro Sublett, offers sage counsel: "Marketers can‘t afford to be passive or intimidated. We must proactively shape AI as a source for good—to enrich people‘s lives, to combat misinformation, to narrow inequities. It starts by grounding AI in our values and the problems we‘re trying to solve for customers and society."

At the bleeding edge, pioneering CMOs envision a future in which AI is their co-pilot for the entire marketing lifecycle—from identifying emerging trends to concepting big bets to flawlessly executing across channels. Rather than recoil from AI‘s rise, they‘re embracing it as a springboard for bolder innovation, creativity, and empathy at superhuman scales.

"Generative AI isn‘t just a tool. It‘s an entirely new way of working that will redefine marketing—and marketing careers—as we know it," sums up HubSpot‘s Kipp Bodnar. "My call to action for marketers is to dive in, experiment wildly, and commit to being a perpetual learner. The future will belong to those who can wield AI superpowers to drive outsized customer and business impact."

To accelerate your own marketing AI journey, explore HubSpot‘s State of AI Report featuring exclusive data, use cases, and expert guidance. Your future self—and company—will thank you.