Table of Contents
Introduction
In today’s highly competitive business landscape, it is more important than ever for companies to thoroughly understand their industry, competitors, customers, and overall environment. Gone are the days when businesses could rely on gut instinct or limited market research to shape their strategies. The rise of big data, advanced analytics, and artificial intelligence has enabled a new level of competitive intelligence that was unimaginable just a decade ago.
Competitive intelligence refers to the systematic collection and analysis of information regarding a company’s competitors, market conditions, and the broader business ecosystem. The goal is to uncover actionable insights that can inform key strategic decisions and planning. From tracking competitor product launches to monitoring industry trends on social media, competitive intelligence helps provide an informational advantage. It enables companies to anticipate changes, respond quickly to new threats and opportunities, and ultimately make smarter moves to outperform rivals.
In the past, competitive intelligence was a manual process relying on human research skills and legwork. Today, advanced artificial intelligence systems are revolutionizing what is possible. AI can process and draw connections from vast amounts of data far faster than humans. It can generate reports, summaries, and recommendations tailored to an organization’s specific intel needs. This makes AI-powered competitive intelligence not just faster, but richer and more nuanced.
Three of the leading AI models showing immense promise for supercharging competitive intelligence are ChatGPT, Claude-2, and Google Bard. Created by groundbreaking AI labs Anthropic and Google Brain, these large language models represent the cutting edge of generative AI. Their ability to understand natural language, generate written content, and reason about complex topics has stunning implications for business analytics.
ChatGPT exploded onto the scene in late 2022, immediately wowing users with its human-like conversational ability. But it is more than a chatbot. Under the hood, its advanced deep learning architecture allows it to answer questions, summarize texts, write essays, code basic programs, and much more. For competitive intelligence, ChatGPT can rapidly produce company profiles, industry reports, and other documents full of up-to-date information. Its capabilities keep expanding as developer OpenAI trains it on more data.
Claude-2, launched soon after ChatGPT, comes from AI startup Anthropic. Claude-2 builds on the foundations of ChatGPT using what Anthropic calls Constitutional AI. This technique allows Claude-2 to better align with human values, have more common sense, and correct potential biases or mistakes. For businesses, this means Claude-2 can provide even more nuanced, ethical, and responsible intel generation tailored to a company’s needs.
Finally, Google Bard represents the search giant’s entry into large language models. Unveiled in February 2023, Bard aims to combine Google’s unmatched search prowess with generative AI capabilities. Early demos suggest Bard could search the entire web in seconds to answer prompts, while also generating thoughtful written responses like a human. This makes it poised to become an invaluable assistant for competitive intelligence, rapidly producing reports by drawing from Google’s up-to-date real-world knowledge.
With these revolutionary AI systems, the competitive intelligence capabilities of modern businesses seem limitless. Strategic leaders can stay on top of every minute development, trend, and threat in their industry. They can run hypothetical scenarios and war games powered by up-to-the-second insights. The key will be learning how to best harness these AI tools. Companies that master prompting the models, validating the outputs, and integrating AI intel into operations and planning will have an unparalleled advantage.
This article will dive deep on exactly how organizations can utilize ChatGPT, Claude-2, and Google Bard for next-level competitive intelligence. We will overview the specific abilities of each tool, provide real examples, and give best practices on deploying AI for maximum business impact. The future of AI-driven competitive intelligence is here and it promises strategic opportunities beyond imagination.
Overview of ChatGPT for Competitive Intelligence
Created by AI research company Anthropic, ChatGPT has taken the world by storm as one of the most advanced conversational AI chatbots ever developed. Under the hood, ChatGPT is powered by a cutting-edge generative AI model trained on a massive dataset using deep learning techniques. This enables it to generate remarkably human-like text responding to natural language prompts.
While ChatGPT can certainly hold entertaining conversations, its true value lies in more practical applications through its ability to summarize, synthesize and produce written content on demand. This makes ChatGPT a game-changer for competitive intelligence activities such as producing competitor analysis reports, market landscape summaries, and other documents customized to a business’ needs.
Key Capabilities
Some of the key capabilities that make ChatGPT so promising for competitive intelligence include:
Natural Language Processing
ChatGPT has a very robust ability to understand context and meaning from text in human-written language. This allows it to interpret prompts accurately to provide relevant responses.
Text Generation
At its core, ChatGPT is designed to generate written text that answers questions or meets other requested criteria. This ability enables it to produce entire passages or documents full of up-to-date information on competitors, industries, trends and more.
Information Synthesis
ChatGPT excels at combining information from various sources into well-written, coherent summaries. This helps it synthesize disparate competitive intel into unified reports.
Customization
By fine-tuning prompts, users can customize the tone, style, depth and parameters of the text ChatGPT generates. This allows bespoke intel tailored to specific business needs.
ChatGPT for Competitor Intelligence
One of ChatGPT’s most valuable applications is keeping businesses constantly updated on every minute action of their competitors. Some examples include:
Competitor Profiles
Prompt ChatGPT to generate a one-page profile on a key competitor, including details like product offerings, pricing, team, funding, recent news, scandals, and more.
Comparison Reports
Have ChatGPT produce a report comparing your company vs a competitor across parameters like market share, features, pricing, strengths/weaknesses, and growth strategies.
News Monitoring
Task ChatGPT with compiling a report of the top 10 news articles over the past week related to a competitor’s product launch, funding round, scandals, or other major events.
Social Media Tracking
Prompt ChatGPT to analyze a competitor’s last 20 social media posts on platforms like Twitter and summarize key messages, strategies, and hints about future moves.
Leadership Changes
Get a quick summary from ChatGPT on any recent additions or departures in a competitor’s leadership team and analysis on how this may impact their business.
By prompts like these, strategic leaders can stay updated on competitive developments faster than ever before.
ChatGPT for Industry Intelligence
In addition to monitoring specific competitors, ChatGPT can provide invaluable industry-level insights for strategy:
Industry Landscape Reports
Request an overview of the competitive landscape in your industry including major players, disruptive startups, technologies, trends, opportunities, and threats.
Market Size Forecasts
Have ChatGPT generate a report projecting next 5 years of market growth, with breakdowns by segment, region, and share forecasts for major companies.
Trend Analysis
Prompt ChatGPT to analyze social media, search, patent, hiring, and other data to identify early signals of emerging trends in an industry.
Event Summaries
Get summaries of major conferences, product announcements, regulatory changes, and other events that impact your industry.
ChatGPT for Business Wargaming
Using imagined scenarios, ChatGPT can role play through hypothetical situations to stress test strategies:
New Competitor Entry
Prompt ChatGPT to act as a potential new fast-following competitor entering your market with certain capabilities and strategies. Get it to discuss likely attacks, countermoves, and impacts on market share.
Major Partnership Announcement
Task ChatGPT with role playing through potential outcomes and strategic responses if a key competitor announced a major partnership.
Industry Disruption Scenarios
Have ChatGPT map out implications on your business for hypothetical disruptive scenarios like new technology innovation, regulatory shifts, supply chain crises, and more.
Limitations and Best Practices
While ChatGPT is exceptionally capable, it does have some key limitations to keep in mind:
- Information can quickly become outdated as it lacks real-time internet access. Prompt for the most recent data.
- Responses may be plausibly written but contain some inaccuracies. Verify any critical information.
- Limited ability for complex numerical analysis. Use other tools in combination.
- Does not intrinsically support cited sources. Request citations and links in prompts.
Frequently Asked Questions
Here are answers to some of the most common questions people have about using ChatGPT for competitive intelligence:
How accurate is the information ChatGPT provides?
ChatGPT’s information should not be considered 100% accurate. Its knowledge comes from the data it was trained on up until 2021, so it lacks real-time awareness. Facts/figures should be verified, especially for mission critical data.
Does ChatGPT have access to privileged information?
No, ChatGPT only knows public information available online up until its training cut-off date. It cannot look up non-public data or breach confidentiality.
Can ChatGPT monitor a competitor’s private social media accounts?
No, ChatGPT cannot directly access private social media accounts or other non-public online sources, so its competitive intel will be limited to public information.
Is ChatGPT capable of providing strategic insights?
Yes, with well-crafted prompts, ChatGPT can provide strategic analysis of competitors, industry landscapes, and scenarios. But its advice should not be used without scrutiny from human experts.
How can I get the most tailored competitive intelligence from ChatGPT?
Using specific, detailed prompts and examples of the depth/style of content you need will produce the most customized competitive intel from ChatGPT. Plan iterative prompt engineering.
What are the risks of relying too much on ChatGPT for competitive intelligence?
Major risks include outdated information, inaccuracies, lack of vetted sources, or biased perspectives. ChatGPT output should be validated and augmented with human strategic thinking.
This covers the key capabilities and considerations for using ChatGPT for competitive intelligence efforts. With thoughtful prompting and diligent verification, it can become an invaluable AI assistant for strategy.
Claude-2 by Anthropic for Competitive Intelligence
Claude-2 is an AI assistant chatbot launched by artificial intelligence lab Anthropic in 2022, as the successor to Claude and the alternative to ChatGPT. Claude-2 builds on top of the conversational prowess of ChatGPT while aiming to overcome some of its limitations, with a focus on safety, accuracy and beneficial outcomes. For businesses seeking competitive intelligence, Claude-2 emerges as a particularly robust option.
How Claude-2 Improves on ChatGPT
As a second generation AI assistant, Claude-2 introduces advances beyond what ChatGPT offers:
Constitutional AI
Claude-2 uses a technique called Constitutional AI to better align its responses with human values, promote beneficial outcomes, and avoid potential harms. This gives it greater integrity.
Improved Accuracy
With techniques like safer search, Claude-2 provides more accurate factual information and admits when it lacks knowledge, reducing ChatGPT’s risk of confidently incorrect answers.
Real-Time Updates
Claude-2 has some access to current real-world information through Anthropic’s NLU clusters, making it less outdated than fixed-data ChatGPT.
Reduced Bias
Claude-2 is designed to avoid biased or prejudiced responses that plagued early ChatGPT versions.
User Customization
Claude-2 allows users to fine tune its responses for individual or organizational preferences through feedback, annotations and examples.
Core Capabilities
Some of Claude-2’s capabilities that make it well-suited for competitive intelligence activities include:
Conversational Answering
Claude-2 fields competitive intel questions posed in natural language and provides detailed conversational answers.
Custom Report Generation
It can rapidly synthesize customized competitor/industry reports with key parameters specified by the user.
Strategic Analysis
Claude-2 can provide nuanced analysis of competitors, business scenarios, and optimal strategies in response to prompts.
Data Synthesis
By prompting it with a variety of data sources, Claude-2 can integrate and summarize disparate competitive intel into cohesive narratives.
Document Summarization
It excels at digesting business documents and concisely summarizing key takeaways most relevant to the user’s needs.
Claude-2 for Competitor Intelligence
Claude-2 empowers businesses to continuously monitor competitors and decode their every move, such as:
Leadership Profiles
Prompt Claude-2 to generate one-page profiles of a competitor’s leadership team including background, roles, responsibilities, strengths/weaknesses, and more.
Pricing Analysis
Task Claude-2 to compare your pricing structure vs a competitor’s pricing on key products/services and analyze their pricing strategy.
Funding Landscape Reports
Request a report from Claude-2 on recent funding rounds in your sector with details on amounts raised by competitors, investors, and implications.
Acquisition Digest
Get a summary of a competitor’s latest acquisitions including cost, strategic rationale, absorbed capabilities, and impacts on your competitive position.
Social Media Tactics
Have Claude-2 review a competitor’s social media channels and analyze their content strategies, messaging, customer engagement tactics, and effectiveness.
Claude-2 for Industry Intelligence
At the industry level, Claude-2 can supply macro insights to inform strategic planning:
Market Entry Reports
Prompt Claude-2 to assess opportunities and risks for entering new geographic or product markets relevant to your business.
Technology Landscape Summary
Request a landscape of emerging technologies in your industry with information on developers, use cases, maturity level, and strategic implications.
Customer Segment Analyses
Task Claude-2 with profiling your industry’s various customer segments, analyzing their needs, behaviors, switching costs, and value provided.
Competitive Benchmarking
Have Claude-2 benchmark your company’s performance on key metrics like profitability, growth, customer satisfaction against top competitors.
Strategic Grouping Analysis
Get an industry analysis from Claude-2 identifying strategic groups within your competitive space based on capabilities, positioning, and performance.
Limitations and Best Practices
While immensely capable, Claude-2 does have some limitations to note:
- Factual accuracy still imperfect, warranting verification of key information.
- Limited ability to interpret complex charts/visualizations or perform quantitative modeling.
- Generates most value with specific, detailed prompting and iterative feedback.
- Legal/regulated use cases may require adjustments to ensure compliance.
- Abusive user prompts can trigger unsafe responses, requiring monitoring.
Frequently Asked Questions
Here are answers to common questions people have about Claude-2 for competitive intelligence:
What are the advantages of Claude-2 over ChatGPT for business intelligence?
Key advantages include improved accuracy, real-time data, reduced bias, safety features, ability to customize responses through feedback, and a more conversational flow.
What kind of information can Claude-2 access to stay updated in real-time?
Claude-2 has access to Anthropic’s proprietary NLU clusters that scrape various public websites, forums, and data sources to keep knowledge fresher than fixed-data ChatGPT.
Can Claude-2 monitor a competitor’s private social media profiles?
No, like ChatGPT it can only access publicly available information online and has no ability to breach private online sources or accounts.
How reliable is Claude-2 for things like market size projections or competitive benchmarking?
Its numerical analysis skills are limited, so any critical figures should be verified against reputable sources or modeled using dedicated financial analysis tools.
Does Claude-2 have biases or political views that could taint its business advice?
Anthropic carefully designed Claude-2 to minimize biases through Constitutional AI. But certain prompts could reveal limitations, so organizations should audit responses.
What security precautions are needed when using Claude-2 for competitive intelligence?
Users should ensure data secrecy by avoiding public internet connections, anonymizing firms, securely storing API keys, and establishing role-based access controls.
Claude-2 sets a new standard for rigorously designed, ethically aligned AI. With thoughtful use and prompt engineering, it promises to become an invaluable assistant for competitive intelligence.
Google Bard for Competitive Intelligence
Google Bard represents Google’s highly anticipated entry into the AI chatbot space, revealed in February 2023. Backed by Google’s unmatched search capabilities and AI expertise, Bard aims to combine conversational ability with real-time knowledge of the world. This makes it poised to provide an invaluable edge for competitive intelligence efforts when fully launched.
Overview of Google Bard
Key capabilities that Google highlights for Bard include:
- Conversational abilities allowing natural dialogue with users.
- Direct access to Google’s latest real-time search index, updated continuously.
- The ability to summarize complex information and multiple perspectives.
- Generating creative visual aids like charts and images to supplement responses.
- Citing trusted online sources to back up its answers.
While details remain limited pending a full release, Google Bard clearly represents a major advance in tapping Google’s vast up-to-date knowledge.
Bard for Competitor Intelligence
Early demos suggest Google Bard could enhance monitoring of competitors with capabilities like:
Recent Funding Summary
Prompt Bard to summarize a competitor’s most recent funding round details including investor mix, capital raised, valuation, intended use of funds.
Product Roadmap Insights
Have Bard analyze a competitor’s latest product announcements, patent filings, and job openings to deduce likely future product development directions and timelines.
Leadership Connection Mapping
Task Bard with generating an org chart for a competitor showing connections between key leaders and board members based on public professional histories.
Event Highlights Report
Get a rapid summary from Bard of the key takeaways, announcements, and highlights from a recent competitor’s conference, product launch event, or earnings call.
Growth Trajectory Projections
Request 5 year projections from Bard for a competitor’s revenue growth, market expansion, and customer adoption based on analysis of all available signals in news and industry data.
Bard for Industry Intelligence
Bard could also provide invaluable macro-level insights, such as:
Emerging Startup Profiles
Prompt Bard to profile 10 of the fastest growing new startups in your industry including their offerings, differentiators, leadership teams, and investor backing.
Market Consolidation Outlook
Have Bard analyze recent M&A activity, fundraising trends, and startup valuations in your market to anticipate future consolidation patterns.
Regulatory Analysis
Ask Bard for an overview of recent and upcoming regulatory changes in your industry with potential impacts on key players and strategies.
Demographic Trend Reports
Task Bard with creating a report on how macro demographic shifts like aging populations, increasing diversity, or geographic migrations will impact customer segments in your market.
Supply Chain Risk Forecasting
Get an assessment from Bard of potential supply chain disruption risks for your industry based on economic indicators, geopolitical factors, climate trends, and more.
Bard for Business War-gaming
Bard could also stress test strategies through role playing exercises like:
New Market Entry Simulations
Have Bard role play as a potential new competitor considering entering your key market. Get it to discuss likely strategies, needed capabilities, cost projections, and risks.
Partnership Negotiation Role Plays
Prompt Bard to negotiate a hypothetical partnership between your company and a competitor or strategic player. Analyze its generated responses for insights.
Acquisition Diligence Wargames
Task Bard with role playing diligence discussions for a hypothetical acquisition target in your space. Assess its questions, concerns, and deal negotiation strategies.
Limitations and Best Practices
As an unreleased product, Bard naturally has uncertainties and limitations:
- Abilities remain unclear until publicly tested after launch. Prompt experimentation will be key.
- Information could be outdated or inaccurate since it lacks human vetting. Critically verify any key facts, figures, or advice given.
- Minimal transparency on Bard’s training data sources and methodologies.
- Potential for biased perspectives and flawed reasoning absent human guidance.
- Possibility of exposing confidential competitive intel if prompts not carefully anonymized.
Frequently Asked Questions
Here are some key questions people have about using Google Bard for competitive intelligence:
How does Bard access up-to-date real world information?
Bard pulls directly from Google’s vast search index that is continuously crawled and updated in real-time, far more current than fixed training dataset models like ChatGPT.
What are the risks of over-relying on Bard for competitive insights?
Key risks include potential inaccuracies, biased perspectives, or outdated information. Bard’s outputs should be validated through careful human analysis.
Can I request public documents from Bard that competitors have filed?
Likely yes. As part of Google search, Bard should be able to retrieve and summarize public regulatory filings, patents, lawsuits and more about competitors.
What restrictions will Google place on Bard around competitive intelligence?
Google has emphasized Bard will follow applicable laws. But specific restrictions remain uncertain and prompt engineering will likely require care not to violate competitor confidentiality.
How transparent will Google be about Bard’s training data and limitations?
Google has shared limited details so far but transparency often lags tech capabilities with AI systems. Independent audits of Bard may be warranted after launch.
Will Bard have access to confidential insider information?
No, Bard is limited to public online information indexed by Google. It cannot breach confidential data or access private internal competitor information.
Google Bard has immense potential to take competitive intelligence to the next level. But it also warrants diligent oversight and validation to harness its capabilities responsibly.
Best Practices for Using AI for Competitive Intelligence
As discussed, systems like ChatGPT, Claude-2, and Google Bard introduce groundbreaking new capabilities for competitive intelligence. But harnessing them most effectively requires following best practices:
Prompt Engineering
The quality of the AI output is hugely dependent on how prompts are crafted. Strategic leaders should:
- Use clear, detailed prompts including key context about the company, competitors, and industry.
- Provide examples of the ideal tone, depth, and format sought for the generated content.
- Prioritize prompts aligned with business goals vs. idle curiosity.
- Continuously refine prompts based on the relevance of responses.
Validating AI Outputs
AI content must be rigorously validated before acting upon:
- Fact-check key statistics, figures, dates, names, and other facts—especially for mission critical decisions.
- Corroborate insights with other reputable published sources when possible.
- Have analysts review narratives for sound reasoning and flag potential lacks of understanding.
- Monitor outputs for biases, misinformation, or logical fallacies.
Augmenting with Human Intelligence
AI should enhance rather than replace human intelligence:
- Treat AI as advisors sharing an outside perspective, not making final decisions.
- Have analysts review and refine raw AI outputs into polished, actionable intelligence.
- Lean on human judgement for weighing evidence, interpreting competitor motives, and making strategic calls.
- Modify or expand upon AI responses with additional research, alternate perspectives, citations, visual aids, and quantitative data.
Responsible Usage
Ethical usage practices include:
- Anonymize companies and data to preserve confidentiality before generating reports.
- Establish stringent access controls and data policies.
- Develop oversight procedures to catch abuses, biases, or unsafe content.
- Avoid attempting to unlawfully obtain or reverse-engineer proprietary information.
- Audit outputs occasionally for undesirable impacts.
Knowledge Management
Competitive intelligence workflows should ensure:
- AI outputs are archived with key metadata like dates, prompts, and intended use cases.
- Retrieval of previous reports for tracking developments and inconsistencies over time.
- Ability to search archives rapidly when similar intelligence needs arise again.
- Secure storage with protections against data leakage.
Integrating AI Insights
To maximize impact, competitive intelligence should:
- Feed into planning processes, forecasting models, and decision frameworks.
- Alert appropriate stakeholders across the organization to critical changes.
- Synthesize analytical dashboards and playbooks rather than raw reports.
- Support extensive wargaming and projections grounded with environmental scanning.
- Iterate on additional intelligence needs revealed by initial AI analyses.
Frequently Asked Questions
Here are some key questions that arise around best practices:
How often should AI outputs be validated before making business decisions?
For daily briefings, spot checks may suffice. But for high-stakes decisions, AI content should always be fully vetted by subject matter experts first.
What are some warning signs to watch for with AI-generated competitive intelligence?
Watch for dated information, unsupported assumptions, questionable sources, biases, responses that dodge key questions, or improper reasoning.
Should AI systems have access to a company’s internal confidential data?
No. Usage should be restricted to public data to avoid legal, ethical, and data security risks. Proprietary data warrants strict human-only handling.
How can companies use AI systems ethically for competitive intelligence?
Follow practices like anonymization, access controls, audits for harmful content, validating accuracy, and ensuring responsible usage aligned to business needs rather than idle curiosity.
What role should humans play in an AI-assisted competitive intelligence workflow?
Humans provide oversight, steer the direction of intelligence needs, frame prompts, validate findings, weigh conclusions, supplement with additional intel, and make strategic decisions.
How can businesses avoid over-relying on AI for competitive insights?
By ingraining that it is an assistant, not a replacement for human intelligence; requiring scrutiny of outputs; and integrating complementary competitive intelligence processes leveraging both human skills and AI tools.
With thoughtful implementation, AI systems can provide invaluable support for sharper competitive intelligence. But responsible oversight and validation will remain essential.
Conclusion
The advent of AI systems like ChatGPT, Claude-2, and Google Bard has opened up game-changing new capabilities for competitive intelligence. These tools promise to provide businesses with continuously updated, hyper-targeted insights about competitors, markets, trends and scenarios. But harnessing them effectively will require adapting practices and mental models.
Key Takeaways
Some of the key lessons from exploring these AI systems for competitive intelligence include:
- With careful prompt engineering, AI can produce customized intelligence reports and analysis far faster than human analysts.
- Outputs should never be taken at face value. Rigorous verification and human augmentation remain essential.
- AI excels at synthesizing, summarizing and generating text, not necessarily strategy ideation or quantitative modelling.
- Responsible oversight is required to catch potential biases, misinformation, outdated data, or unsafe usage.
- AI should enhance human intelligence on strategy; not fully replace the irreplaceable human elements.
- Knowledge management and integration with downstream planning processes is vital to maximize value.
- AI systems lack real-time internet access. The future potential to link generative AI with live data access is immense.
The Future of AI for Competitive Intelligence
While systems like ChatGPT today have profound implications, they represent just the tip of the iceberg for how AI could transform competitive intelligence in the future. Areas to watch include:
- Seamless linking of generative AI abilities with real-time data queries.
- Increased transparency and auditability into AI system capabilities, limitations and training data.
- More advanced summarization and analysis of numerical data, visualizations and multimedia inputs.
- Sector-specific models with deep industry knowledge built-in.
- Integration and orchestration of multiple AI tools into unified workflows.
- Automated competitive intelligence monitoring, alerting, analysis, and benchmarking.
- Advanced simulation of competitor behavior, scenarios, and war-gaming.
- AR interfaces that overlay AI insights onto the real world to enhance strategic thinking.
The bottom line is competitive intelligence is being completely redefined. Companies must engage with these rapidly evolving technologies or risk losing touch with markets, competitors, and opportunities. But prudent steps are required to safely unlock the tremendous value AI promises for strategy and decision making. The guidance in this article aims to provide a starting point for navigating that balance.
Frequently Asked Questions
Here are some final common questions regarding the future of AI for competitive intelligence:
Will AI ever fully automate competitive intelligence in the future?
While more tasks will be automated, human oversight over strategy, ethics, security, and decisions will remain essential. The unique human elements of intelligence are irreplaceable by AI.
How can companies evaluate risks before deploying an AI for sensitive competitive intelligence?
Conduct controlled pilot projects, audit system outputs, work closely with developers on responsible design, limit initial access, and have legal/compliance review proposed usage.
What are the biggest priorities for improving AI competitive intelligence capabilities?
Key priorities include expanding real-time knowledge, increasing explainability, automating routine analytical workflows, detecting potential harms/biases, and seamlessly integrating diverse AI tools.
Will using AI for competitive intelligence become a necessity to stay competitive in the future?
Given the immense advantages AI can unlock, companies that shun these technologies are likely to steadily lag behind AI-savvy competitors in their strategic agility and intelligence capabilities over time if disparities grow.
What new skills will be required to thrive in an AI-powered competitive intelligence function?
Critical new skills will include prompt engineering, output validation, AI oversight, advanced analytics, ethics training, automation pipelines, data strategy, technical tool literacy and adaptable strategic thinking augmented by AI.
The future will demand flexible, curious, and innovative applications of AI. With responsible foundations, competitive intelligence is poised for an era of enlightenment through these rapidly advancing technologies.